@article {7080,
	title = {Assignment Flow For Order-Constrained OCT Segmentation},
	journal = {Int J Computer Vision},
	volume = {129},
	year = {2021},
	chapter = {3088-3118},
	author = {Sitenko, D and Boll, B and Schn{\"o}rr, C}
}
@proceedings {7078,
	title = {Assignment Flows and Nonlocal PDEs on Graphs},
	year = {2021},
	author = {Sitenko, D and Boll, B and Schn{\"o}rr, C}
}
@proceedings {7079,
	title = {Assignment Flows and Nonlocal PDEs on Graphs},
	year = {2021},
	author = {Gonzalez-Alvarado, D and Zeilmann, A and Schn{\"o}rr, C}
}
@article {7071,
	title = {Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning},
	year = {2021},
	url = {https://arxiv.org/abs/2107.09562},
	author = {Timo Milbich and Karsten Roth and Samarth Sinha and Ludwig Schmidt and Marzyeh Ghassemi and Bj{\"o}rn Ommer}
}
@article {7032,
	title = {A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule},
	journal = {eLife},
	year = {2021},
	doi = {10.7554/eLife.63262},
	author = {Vijayan, A. and Tofanelli, R and Strauss, S and Cerrone, L and Wolny, A and Strohmeier, J and Kreshuk, A and Fred A. Hamprecht and Smith, R S and Schneitz, K}
}
@article {7073,
	title = {Improving Deep Metric Learning by Divide and Conquer},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
	year = {2021},
	abstract = {Deep metric learning (DML) is a cornerstone of many computer vision applications. It aims at learning a mapping from the input domain to an embedding space, where semantically similar objects are located nearby and dissimilar objects far from another. The target similarity on the training data is defined by user in form of ground-truth class labels. However, while the embedding space learns to mimic the user-provided similarity on the training data, it should also generalize to novel categories not seen during training. Besides user-provided groundtruth training labels, a lot of additional visual factors (such as viewpoint changes or shape peculiarities) exist and imply different notions of similarity between objects, affecting the generalization on the images unseen during training. However, existing approaches usually directly learn a single embedding space on all available training data, struggling to encode all different types of relationships, and do not generalize well. We propose to build a more expressive representation by jointly splitting the embedding space and the data hierarchically into smaller sub-parts. We successively focus on smaller subsets of the training data, reducing its variance and learning a different embedding subspace for each data subset. Moreover, the subspaces are learned jointly to cover not only the intricacies, but the breadth of the data as well. Only after that, we build the final embedding from the subspaces in the conquering stage. The proposed algorithm acts as a transparent wrapper that can be placed around arbitrary existing DML methods. Our approach significantly improves upon the state-of-the-art on image retrieval, clustering, and re-identification tasks evaluated using CUB200-2011, CARS196, Stanford Online Products, In-shop Clothes, and PKU VehicleID datasets.},
	url = {https://arxiv.org/abs/2109.04003},
	author = {Sanakoyeu, Artsiom and Pingchuan Ma and Tschernezki, V. and Bj{\"o}rn Ommer}
}
@article {7086,
	title = {Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana},
	journal = {Plant and Cell Physiology},
	volume = {62},
	year = {2021},
	pages = {1269-1279},
	doi = {10.1093/pcp/pcab038},
	author = {Sch{\"u}tz, LM and Louveaux, M and Vilches-Barro, A and Bouziri, S and Cerrone, L and Wolny, A and Kreshuk, A and Hamprecht, FA and Maizel, A}
}
@article {7022,
	title = {Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera},
	journal = {BioEssays},
	volume = {43},
	year = {2021},
	doi = {10.1002/bies.202000257},
	author = {Pape, C and Remme, R and Wolny, A and Olberg, S and Wolf, S and Cerrone, L and Cortese, M and Klaus, S and Lucic, B and Ullrich, S and Anders-{\"O}sswein, M and Wolf, S and Cerikan, B and Neufeldt, C J and Ganter, M and Schnitzler, P and Merle, U and Lusic, M and Boulant, S and Stanifer, M and Bartenschlager, R and Hamprecht, F A and Kreshuk, A and Tischer, C and Kr{\"a}usslich, H.-G. and M{\"u}ller, B and Laketa, V}
}
@unpublished {7088,
	title = {Seipin forms a flexible cage at lipid droplet formation sites},
	year = {2021},
	publisher = {bioRxiv},
	doi = {10.1101/2021.08.05.45527},
	author = {Arlt, H and Sui, X and Folger, B and Adams, C and Chen, X and Remme, R and Hamprecht, FA and DiMaio, F and Liao, M and Goodman, JM and Farese, RV and Walther, TC}
}
@article {7090,
	title = {Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution},
	journal = {eLife},
	volume = {9},
	year = {2020},
	doi = {10.7554/eLife.57613},
	author = {Wolny, A and Cerrone, L and Vijayan, A and Tofanelli, R and Vilches-Barro, A and Louveaux, M and Wenzel, C and Strauss, S and Wilson-Sanchez, D and Lymbouridou, R and Steigleder, SS and Pape, C and Bailoni, A and Duran-Nebreda, S and Bassel, GW and Lohmann, JU and Tsiantis, M and Hamprecht, FA and Schneitz, K and Maizel, A and Kreshuk, A}
}
@article {Krull2020,
	title = {Artificial-intelligence-driven scanning probe microscopy},
	journal = {Communications Physics},
	volume = {3},
	year = {2020},
	abstract = {Scanning probe microscopy (SPM) has revolutionized the fields of materials, nano-science, chemistry, and biology, by enabling mapping of surface properties and surface manipulation with atomic precision. However, these achievements require constant human supervision; fully automated SPM has not been accomplished yet. Here we demonstrate an artificial intelligence framework based on machine learning for autonomous SPM operation (DeepSPM). DeepSPM includes an algorithmic search of good sample regions, a convolutional neural network to assess the quality of acquired images, and a deep reinforcement learning agent to reliably condition the state of the probe. DeepSPM is able to acquire and classify data continuously in multi-day scanning tunneling microscopy experiments, managing the probe quality in response to varying experimental conditions. Our approach paves the way for advanced methods hardly feasible by human operation (e.g., large dataset acquisition and SPM-based nanolithography). DeepSPM can be generalized to most SPM techniques, with the source code publicly available.},
	issn = {23993650},
	doi = {10.1038/s42005-020-0317-3},
	author = {Krull, A. and Hirsch, P. and Rother, C. and Schiffrin, A. and Krull, C.}
}
@incollection {Schnorr:2019aa,
	title = {Assignment Flows},
	year = {2020},
	pages = {235{\textemdash}260},
	publisher = {Springer},
	url = {https://www.springer.com/gp/book/9783030313500},
	author = {Schn{\"o}rr, C.},
	editor = {Grohs, P. and Holler, M. and Weinmann, A.}
}
@article {Zern:2020aa,
	title = {Assignment Flows for Data Labeling on Graphs: Convergence and Stability},
	journal = {preprint: arXiv},
	year = {2020},
	url = {https://arxiv.org/abs/2002.11571},
	author = {Zern, A. and Zeilmann, A. and Schn{\"o}rr, C.}
}
@conference {Sorrenson2020,
	title = {Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)},
	booktitle = {Intl. Conf. Learning Representations (ICLR)},
	year = {2020},
	abstract = {A central question of representation learning asks under which conditions it is possible to reconstruct the true latent variables of an arbitrarily complex generative process. Recent breakthrough work by Khemakhem et al. (2019) on nonlinear ICA has answered this question for a broad class of conditional generative processes. We extend this important result in a direction relevant for application to real-world data. First, we generalize the theory to the case of unknown intrinsic problem dimension and prove that in some special (but not very restrictive) cases, informative latent variables will be automatically separated from noise by an estimating model. Furthermore, the recovered informative latent variables will be in one-to-one correspondence with the true latent variables of the generating process, up to a trivial component-wise transformation. Second, we introduce a modification of the RealNVP invertible neural network architecture (Dinh et al. (2016)) which is particularly suitable for this type of problem: the General Incompressible-flow Network (GIN). Experiments on artificial data and EMNIST demonstrate that theoretical predictions are indeed verified in practice. In particular, we provide a detailed set of exactly 22 informative latent variables extracted from EMNIST.},
	url = {http://arxiv.org/abs/2001.04872},
	author = {Sorrenson, Peter and Rother, Carsten and K{\"o}the, Ullrich}
}
@proceedings {6934,
	title = {DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning},
	year = {2020},
	url = {https://arxiv.org/abs/2004.13458},
	author = {Timo Milbich and Karsten Roth and Homanga Bharadhwaj and Samarth Sinha and Yoshua Bengio and Bj{\"o}rn Ommer and Joseph Paul Cohen}
}
@article {Zeilmann:2020aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {Inverse Problems},
	volume = {36},
	number = {3},
	year = {2020},
	pages = {034004 (33pp)},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {6922,
	title = {Mind the Gap {\textendash} A Benchmark for Dense Depth Prediction beyond Lidar},
	booktitle = {2nd Workshop on Safe Artificial Intelligence for Automated Driving, in conjunction with CVPR 2020},
	year = {2020},
	author = {H. Schilling and M. Gutsche and A. Brock and D. Sp{\"a}th and C. Rother and K. Krispin}
}
@proceedings {Haller2020,
	title = {A Primal-Dual Solver for Large-Scale Tracking-by-Assignment},
	year = {2020},
	abstract = {We propose a fast approximate solver for the combinatorial problem known as tracking-by-assignment, which we apply to cell tracking. The latter plays a key role in discovery in many life sciences, especially in cell and developmental biology. So far, in the most general setting this problem was addressed by off-the-shelf solvers like Gurobi, whose run time and memory requirements rapidly grow with the size of the input. In contrast, for our method this growth is nearly linear. Our contribution consists of a new (1) de-composable compact representation of the problem; (2) dual block-coordinate ascent method for optimizing the decomposition-based dual; and (3) primal heuristics that reconstructs a feasible integer solution based on the dual information. Compared to solving the problem with Gurobi, we observe an up to 60 times speed-up, while reducing the memory footprint significantly. We demonstrate the efficacy of our method on real-world tracking problems.},
	author = {Stefan Haller and Prakash, Mangal and Hutschenreiter, Lisa and Pietzsch, Tobias and Carsten Rother and Jug, Florian and Swoboda, Paul and Savchynskyy, Bogdan}
}
@proceedings {6390,
	title = {Revisiting Training Strategies and Generalization Performance in Deep Metric Learning},
	year = {2020},
	url = {https://arxiv.org/pdf/2002.08473.pdf},
	author = {Karsten Roth and Timo Milbich and Samarth Sinha and Prateek Gupta and Bj{\"o}rn Ommer and Joseph Paul Cohen}
}
@article {Desana:2020aa,
	title = {Sum-Product Graphical Models},
	journal = {Machine Learning},
	volume = {109},
	number = {1},
	year = {2020},
	pages = {135{\textendash}173},
	author = {Desana, M. and Schn{\"o}rr, C.}
}
@article {Censor:2020aa,
	title = {Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case},
	journal = {J. Appl. Numer. Optimization (in press; arXiv:1911.05498)},
	volume = {2},
	number = {1},
	year = {2020},
	pages = {15-62},
	url = {http://jano.biemdas.com/archives/1060},
	author = {Censor, Y. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Tourani2020,
	title = {Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization},
	booktitle = {AISTATS 2020},
	year = {2020},
	abstract = {We consider the maximum-a-posteriori inference problem in discrete graphical models and study solvers based on the dual block-coordinate ascent rule. We map all existing solvers in a single framework, allowing for a better understanding of their design principles. We theoretically show that some block-optimizing updates are sub-optimal and how to strictly improve them. On a wide range of problem instances of varying graph connec-tivity, we study the performance of existing solvers as well as new variants that can be obtained within the framework. As a result of this exploration we build a new state-of-the art solver, performing uniformly better on the whole range of test instances.},
	url = {https://gitlab.com/},
	author = {Tourani, Siddharth and Shekhovtsov, Alexander and Carsten Rother and Savchynskyy, Bogdan}
}
@article {Zern:2020ab,
	title = {Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment},
	journal = {Journal of Mathematical Imaging and Vision},
	year = {2020},
	url = {https://doi.org/10.1007/s10851-019-00935-7},
	author = {Zern, A. and M. Zisler and Petra, S. and Schn{\"o}rr, C.}
}
@article {krall2019b,
	title = {Air{\textendash}sea gas exchange at wind speeds up to 85 m/s},
	journal = {Ocean Science},
	volume = {15},
	year = {2019},
	pages = {1783-{\textendash}1799},
	doi = {10.5194/os-15-1783-2019},
	author = {Kerstin E. Krall and Andrew W. Smith and Naohisa Takagaki and Bernd J{\"a}hne}
}
@incollection {Schnorr:2019aa,
	title = {Assignment Flows},
	year = {2019},
	note = {in press},
	publisher = {Springer},
	author = {Schn{\"o}rr, C.},
	editor = {Grohs, P. and Holler, M. and Weinmann, A.}
}
@article {6290,
	title = {Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models, in press},
	journal = {Physics in Medicine and Biology},
	volume = {64},
	year = {2019},
	doi = {http://iopscience.iop.org/article/10.1088/1361-6560/aafce7},
	author = {Bendinger, AL and Debus, C and Glowa, C and Karger, CP and Peter, J and Martin Storath}
}
@article {Kleesiek2019,
	title = {Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study},
	journal = {Investigative Radiology},
	volume = {54},
	year = {2019},
	pages = {653{\textendash}660},
	abstract = {Objectives Gadolinium-based contrast agents (GBCAs) have become an integral part in daily clinical decision making in the last 3 decades. However, there is a broad consensus that GBCAs should be exclusively used if no contrast-free magnetic resonance imaging (MRI) technique is available to reduce the amount of applied GBCAs in patients. In the current study, we investigate the possibility of predicting contrast enhancement from noncontrast multiparametric brain MRI scans using a deep-learning (DL) architecture. Materials and Methods A Bayesian DL architecture for the prediction of virtual contrast enhancement was developed using 10-channel multiparametric MRI data acquired before GBCA application. The model was quantitatively and qualitatively evaluated on 116 data sets from glioma patients and healthy subjects by comparing the virtual contrast enhancement maps to the ground truth contrast-enhanced T1-weighted imaging. Subjects were split in 3 different groups: Enhancing tumors (n = 47), nonenhancing tumors (n = 39), and patients without pathologic changes (n = 30). The tumor regions were segmented for a detailed analysis of subregions. The influence of the different MRI sequences was determined. Results Quantitative results of the virtual contrast enhancement yielded a sensitivity of 91.8\% and a specificity of 91.2\%. T2-weighted imaging, followed by diffusion-weighted imaging, was the most influential sequence for the prediction of virtual contrast enhancement. Analysis of the whole brain showed a mean area under the curve of 0.969 {\textpm} 0.019, a peak signal-to-noise ratio of 22.967 {\textpm} 1.162 dB, and a structural similarity index of 0.872 {\textpm} 0.031. Enhancing and nonenhancing tumor subregions performed worse (except for the peak signal-to-noise ratio of the nonenhancing tumors). The qualitative evaluation by 2 raters using a 4-point Likert scale showed good to excellent (3-4) results for 91.5\% of the enhancing and 92.3\% of the nonenhancing gliomas. However, despite the good scores and ratings, there were visual deviations between the virtual contrast maps and the ground truth, including a more blurry, less nodular-like ring enhancement, few low-contrast false-positive enhancements of nonenhancing gliomas, and a tendency to omit smaller vessels. These "features" were also exploited by 2 trained radiologists when performing a Turing test, allowing them to discriminate between real and virtual contrast-enhanced images in 80\% and 90\% of the cases, respectively. Conclusions The introduced model for virtual gadolinium enhancement demonstrates a very good quantitative and qualitative performance. Future systematic studies in larger patient collectives with varying neurological disorders need to evaluate if the introduced virtual contrast enhancement might reduce GBCA exposure in clinical practice.},
	keywords = {Bayesian uncertainty, deep learning, gadolinium-based contrast agents, glioma, multiparametric MRI},
	issn = {15360210},
	doi = {10.1097/RLI.0000000000000583},
	author = {Kleesiek, Jens and Morshuis, Jan Nikolas and Isensee, Fabian and Deike-Hofmann, Katerina and Paech, Daniel and Kickingereder, Philipp and K{\"o}the, Ullrich and Rother, Carsten and Forsting, Michael and Wick, Wolfgang and Bendszus, Martin and Schlemmer, Heinz Peter and Radbruch, Alexander}
}
@conference {6322,
	title = {Content and Style Disentanglement for Artistic Style Transfer},
	booktitle = {Proceedings of the Intl. Conf. on Computer Vision (ICCV)},
	year = {2019},
	author = {Dmytro Kotovenko and Sanakoyeu, Artsiom and Sabine Lang and Bj{\"o}rn Ommer}
}
@article {Savarino:2019ab,
	title = {Continuous-Domain Assignment Flows},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1910.07287},
	author = {Savarino, F. and Schn{\"o}rr, C.}
}
@article {Savchynskyy2019,
	title = {Discrete Graphical Models {\textemdash} An Optimization Perspective},
	journal = {Foundations and Trends{\textregistered} in Computer Graphics and Vision},
	volume = {11},
	number = {3-4},
	year = {2019},
	pages = {160{\textendash}429},
	publisher = {Now Publishers},
	abstract = {This monograph is about combinatorial optimization. More precisely, about a special class of combinatorial problems known as energy minimization or maximum a posteriori (MAP) inference in graphical models, closely related to weighted and valued constraint satisfaction problems and having tight connections to Markov random fields and quadratic pseudo-boolean optimization. What distinguishes this monograph from a number of other monographs on graphical models is its focus: It considers graphical models, or, more precisely, MAP-inference for graphical models, purely as a combinatorial optimization problem. Modeling, applications, probabilistic interpretations and many other aspects are either ignored here or find their place in examples and remarks only. Combinatorial optimization as a field is largely based on five fundamental topics: (i) integer linear programming and polyhedral optimization; (ii) totally unimodular matrices and the class of min-cost-flow problems; (iii) Lagrange decompositions and relaxations; (iv) dynamic programming and (v) submodularity, matroids and greedy algorithms. Each of these topics found its place in this monograph, although to a variable extent. The covering of each respective topic reflects its importance for the considered MAP-inference problem. Since optimization is the primary topic of this monograph, we mostly stick to the terminology widely used in optimization and where it was possible we tried to avoid the graphical models community-specific technical terms. The latter differ from sub-community to sub-community and, in our view, significantly complicate the information exchange between them. The same holds also for the presentation of material in this monograph. If there is a choice when introducing mathematical constructs or proving statements, we prefer more general mathematical tools applicable in the whole field of operations research rather than to stick to graphical modelspecific constructions. We additionally provide the graphical model-specific constructions if it turns out to be easier than the more general one. This way of presentation has two advantages. A reader familiar with a more general technique can grasp the new material faster. On the other hand, the monograph may serve as an introduction to combinatorial optimization for readers unfamiliar with this subject. To make the monograph even more suitable for both categories of readers we explicitly separate the mathematical optimization background chapters from those specific to graphical models. We believe, therefore, that the monograph can be useful for undergraduate and graduate students studying optimization or graphical models, as well as for experts in optimization who want to have a look into graphical models. Moreover, we believe that even experts in graphical models can find new views on the known facts as well as a novel presentation of less known results in the monograph. These are for instance (i) a simple and general proof of equivalence of different acyclic Lagrange decompositions of a graphical model; (ii) a general scheme for analyzing convergence of dual block-coordinate descent methods; (iii) a short and self-contained analysis of a linear programming relaxation for binary graphical models, its persistency properties and its relation to quadratic pseudo-boolean optimization. The present monograph is based on lectures given to undergraduate students of Technical University of Dresden and Heidelberg University. The selection of material is done in a way that it may serve as a basis for a semester course.},
	issn = {1572-2740},
	doi = {10.1561/0600000084},
	author = {Savchynskyy, Bogdan}
}
@proceedings {6299,
	title = {Divide and Conquer the Embedding Space for Metric Learning},
	year = {2019},
	keywords = {deep learning, metric learning},
	url = {https://github.com/CompVis/metric-learning-divide-and-conquer},
	author = {Sanakoyeu, A. and Tschernezki, V. and Uta B{\"u}chler and Bj{\"o}rn Ommer}
}
@article {6335,
	title = {An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting},
	journal = {IEEE Transactions on Image Processing},
	volume = {29},
	year = {2019},
	chapter = {921-933},
	doi = {10.1109/TIP.2019.2937040},
	author = {Kiefer, L and Martin Storath and Weinmann, A}
}
@article {7083,
	title = {Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures},
	journal = {Nature Communications},
	volume = {13;10(1)},
	year = {2019},
	doi = {10.1038/s41467-019-09879-3},
	author = {Imle, A and Kumberger, P and Schnellb{\"a}cher, ND and Fehr, J and Carillo-Bustamente, P and Ales, J and Schmidt, P and Ritter, C and Godinez, WJ and M{\"u}ller, B and Rohr, K and Hamprecht, FA and Schwarz, US and Graw, F and Fackler, OT}
}
@article {6348,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {Comp. Statistics \& Data Analysis},
	volume = {140},
	year = {2019},
	pages = {41-58},
	doi = {10.1016/j.csda.2019.04.005},
	author = {Rathke, F and Schn{\"o}rr, C}
}
@article {Rathke:2019aa,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {Comp. Statistics \& Data Analysis},
	volume = {140},
	year = {2019},
	pages = {41{\textendash}58},
	author = {Rathke, F. and Schn{\"o}rr, C.}
}
@article {Zeilmann:2019aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {Inverse Problems},
	year = {2019},
	url = {https://doi.org/10.1088/1361-6420/ab2772},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@article {Kostrykin:2019aa,
	title = {Globally Optimal Segmentation of Cell Nuclei in Fluoroscence Microscopy Images using Shape and Intensity Information},
	journal = {Medical Image Analysis},
	year = {2019},
	url = {https://doi.org/10.1016/j.media.2019.101536},
	author = {Kostrykin, L. and Schn{\"o}rr, C. and Rohr, K.}
}
@article {6334,
	title = {ilastik: interactive machine learning for (bio)image analysis},
	journal = {Nature Methods},
	volume = {16},
	year = {2019},
	pages = {1226-1232},
	doi = {10.1038/s41592-019-0582-9},
	author = {Stuart Berg and Kutra, D and Kroeger, T and Christoph N. Straehle and Bernhard X. Kausler and Haubold, C. and Schiegg, M and Ales, J and Thorsten Beier and Rudy, M and Eren, K and Cervantes, JI and Xu, B and Beuttenm{\"u}ller, F and Wolny, A and Zhang, C and Ullrich K{\"o}the and Fred A. Hamprecht and Kreshuk, A}
}
@article {Huhnerbein:2019ab,
	title = {Learning Adaptive Regularization for Image Labeling Using Geometric Assignment},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1910.09976},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Huhnerbein:2019aa,
	title = {Learning Adaptive Regularization for Image Labeling Using Geometric Assignment},
	booktitle = {Proc. SSVM},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Leistner2019,
	title = {Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift},
	booktitle = {Proceedings - 2019 International Conference on 3D Vision, 3DV 2019},
	year = {2019},
	month = {sep},
	pages = {249{\textendash}257},
	abstract = {We propose a method for depth estimation from light field data, based on a fully convolutional neural network architecture. Our goal is to design a pipeline which achieves highly accurate results for small-and wide-baseline light fields. Since light field training data is scarce, all learning-based approaches use a small receptive field and operate on small disparity ranges. In order to work with wide-baseline light fields, we introduce the idea of EPI-Shift: To virtually shift the light field stack which enables to retain a small receptive field, independent of the disparity range. In this way, our approach {\textquoteright}learns to think outside the box of the receptive field". Our network performs joint classification of integer disparities and regression of disparity-offsets. A U-Net component provides excellent long-range smoothing. EPI-Shift considerably outperforms the state-of-the-art learning-based approaches and is on par with hand-crafted methods. We demonstrate this on a publicly available, synthetic, small-baseline benchmark and on large-baseline real-world recordings.},
	keywords = {Computer vision, deep learning, depth estimation, light fields, Stereo},
	isbn = {9781728131313},
	doi = {10.1109/3DV.2019.00036},
	url = {http://arxiv.org/abs/1909.09059 http://dx.doi.org/10.1109/3DV.2019.00036},
	author = {Titus Leistner and Schilling, Hendrik and Mackowiak, Radek and Gumhold, Stefan and Carsten Rother}
}
@proceedings {6288,
	title = {LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos},
	year = {2019},
	author = {Kirschbaum, E. and Manuel Hau{\ss}mann and Wolf, S and Sonntag, H and Schneider, J and Elzoheiry, S and Kann, O and Durstewitz, D and Fred A. Hamprecht}
}
@mastersthesis {6343,
	title = {Pipeline f{\"u}r die automatisierte Objektsegmentierung von 3D Lightshet Mikroskopiebildern},
	year = {2019},
	school = {Heidelberg University},
	author = {Snajder, R}
}
@conference {fita2019probabilistic,
	title = {Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning},
	booktitle = {Advances in Neural Information Processing Systems},
	year = {2019},
	author = {Fita Sanmartin, E and Damrich, Sebastian and Hamprecht, Fred A.}
}
@article {Zisler:2019ab,
	title = {Self-Assignment Flows for Unsupervised Data Labeling on Graphs},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1911.03472},
	author = {M. Zisler and Zern, A. and Petra, S. and Schn{\"o}rr, C.}
}
@article {6336,
	title = {Smoothing for signals with discontinuities using higher order Mumford-Shah models},
	journal = {Numerische Mathematik},
	volume = {143(2)},
	year = {2019},
	pages = {423-460},
	doi = {10.1007/s00211-019-01052-8},
	author = {Martin Storath and Kiefer, L and Weinmann, A}
}
@article {Desana:2019aa,
	title = {Sum-Product Graphical Models},
	journal = {Machine Learning},
	year = {2019},
	url = {https://doi.org/10.1007/s10994-019-05813-2},
	author = {Desana, M. and Schn{\"o}rr, C.}
}
@article {Censor:2019aa,
	title = {Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1911.05498},
	author = {Censor, Y. and Petra, S. and Schn{\"o}rr, C.}
}
@article {6337,
	title = {Total variation regularization of pose signals with an application to 3D freehand ultrasound},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {38(10)},
	year = {2019},
	pages = {2245-2258},
	doi = { 10.1109/TMI.2019.2898480},
	author = {Esposito, M and Hennersperger, C and G{\"o}bl, R and Demaret, L and Martin Storath and Navab, N and Baust, M and Weinmann, A}
}
@article {Zern:2019aa,
	title = {Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1904.10863},
	author = {Zern, A. and M. Zisler and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Zisler:2019aa,
	title = {Unsupervised Labeling by Geometric and Spatially Regularized Self-Assignment},
	booktitle = {Proc. SSVM},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	author = {M. Zisler and Zern, A. and Petra, S. and Schn{\"o}rr, C.}
}
@proceedings {6300,
	title = {Using a Transformation Content Block For Image Style Transfer},
	year = {2019},
	author = {Dmytro Kotovenko and Sanakoyeu, A. and Sabine Lang and Ma, P. and Bj{\"o}rn Ommer}
}
@conference {Savarino:2019aa,
	title = {A Variational Perspective on the Assignment Flow},
	booktitle = {Proc. SSVM},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	author = {Savarino, F. and Schn{\"o}rr, C.}
}
@conference {6324,
	title = {Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation},
	booktitle = {German Conference on Pattern Recognition (GCPR)},
	year = {2019},
	author = {Nikolai Ufer and Kam To Lui and Katja Schwarz and Paul Warkentin and Bj{\"o}rn Ommer}
}
@conference {Hodan2018,
	title = {BOP: Benchmark for 6D object pose estimation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11214 LNCS},
	year = {2018},
	month = {aug},
	pages = {19{\textendash}35},
	abstract = {We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image. The training data consists of a texture-mapped 3D object model or images of the object in known 6D poses. The benchmark comprises of: (i) eight datasets in a unified format that cover different practical scenarios, including two new datasets focusing on varying lighting conditions, (ii) an evaluation methodology with a pose-error function that deals with pose ambiguities, (iii) a comprehensive evaluation of 15 diverse recent methods that captures the status quo of the field, and (iv) an online evaluation system that is open for continuous submission of new results. The evaluation shows that methods based on point-pair features currently perform best, outperforming template matching methods, learning-based methods and methods based on 3D local features. The project website is available at bop.felk.cvut.cz.},
	isbn = {9783030012489},
	issn = {16113349},
	doi = {10.1007/978-3-030-01249-6_2},
	url = {http://arxiv.org/abs/1808.08319},
	author = {Hoda{\v n}, Tom{\'a}{\v s} and Michel, Frank and Brachmann, Eric and Kehl, Wadim and Buch, Anders Glent and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae Kyun and Matas, Ji{\v r}{\'\i} and Carsten Rother}
}
@article {Arnab2018,
	title = {Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation},
	journal = {Cvpr},
	volume = {XX},
	number = {Xx},
	year = {2018},
	pages = {1{\textendash}15},
	abstract = {{\textemdash}Semantic Segmentation is the task of labelling every pixel in an image with a pre-defined object category. It has numer-ous applications in scenarios where the detailed understanding of an image is required, such as in autonomous vehicles and medical diagnosis. This problem has traditionally been solved with probabilistic models known as Conditional Random Fields (CRFs) due to their ability to model the relationships between the pixels being predicted. However, Deep Neural Networks (DNNs) have recently been shown to excel at a wide range of computer vision problems due to their ability to learn rich feature representations automatically from data, as opposed to traditional hand-crafted features. The idea of combining CRFs and DNNs have achieved state-of-the-art results in a number of domains. We review the literature on combining the modelling power of CRFs with the representation-learning ability of DNNs, ranging from early work that combines these two techniques as independent stages of a common pipeline to recent approaches that embed inference of probabilistic models directly in the neural network itself. Finally, we summarise future research directions.},
	keywords = {conditional random fields, deep learning, seman-},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.308.8889\&rep=rep1\&type=pdf\%0Ahttp://dx.doi.org/10.1109/CVPR.2012.6248050},
	author = {Arnab, Anurag and Zheng, Shuai and Jayasumana, Sadeep and Romera-paredes, Bernardino and Kirillov, Alexander and Savchynskyy, Bogdan and Carsten Rother and Kahl, Fredrik and Torr, Philip}
}
@conference {sayed:GCPR:2018,
	title = {Cross and Learn: Cross-Modal Self-Supervision},
	booktitle = {German Conference on Pattern Recognition (GCPR) (Oral)},
	year = {2018},
	address = {Stuttgart, Germany},
	abstract = {In this paper we present a self-supervised method to learn feature representations for different modalities. Based on the observation that cross-modal information has a high semantic meaning we propose a method to effectively exploit this signal. For our method we utilize video data since it is available on a large scale and provides easily accessible modalities given by RGB and optical flow. We demonstrate state-of-the-art performance on highly contested action recognition datasets in the context of self-supervised learning. We also show the transferability of our feature representations and conduct extensive ablation studies to validate our core contributions.},
	keywords = {action recognition, cross-modal, image understanding, unsupervised learning},
	url = {https://arxiv.org/abs/1811.03879v1},
	author = {Sayed, N. and Biagio Brattoli and Bj{\"o}rn Ommer}
}
@article {6229,
	title = {Deep Unsupervised Learning of Visual Similarities},
	journal = {Pattern Recognition},
	volume = {78},
	year = {2018},
	chapter = {331},
	abstract = {Exemplar learning of visual similarities in an unsupervised manner is a problem of paramount importance to Computer Vision. In this context, however, the recent breakthrough in deep learning could not yet unfold its full potential. With only a single positive sample, a great imbalance between one positive and many negatives, and unreliable relationships between most samples, training of Convolutional Neural networks is impaired. In this paper we use weak estimates of local similarities and propose a single optimization problem to extract batches of samples with mutually consistent relations. Conflicting relations are distributed over different batches and similar samples are grouped into compact groups. Learning visual similarities is then framed as a sequence of categorization tasks. The CNN then consolidates transitivity relations within and between groups and learns a single representation for all samples without the need for labels. The proposed unsupervised approach has shown competitive performance on detailed posture analysis and object classification.},
	doi = {https://doi.org/10.1016/j.patcog.2018.01.036},
	url = {https://authors.elsevier.com/a/1WXUt77nKSb25 },
	author = {Sanakoyeu, A. and Miguel Bautista and Bj{\"o}rn Ommer}
}
@article {6254,
	title = {Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats},
	journal = {Sage Journals},
	volume = { Journal of Cerebral Blood Flow \& Metabolism},
	year = {2018},
	month = {05/18},
	abstract = {The majority of stroke patients develop post-stroke fatigue, a symptom which impairs motivation and diminishes the success of rehabilitative interventions. We show that large cortical strokes acutely reduce activity levels in rats for 1{\textendash}2 weeks as a physiological response paralleled by signs of systemic inflammation. Rats were exposed early (1{\textendash}2 weeks) or late (3{\textendash}4 weeks after stroke) to an individually monitored enriched environment to stimulate self-controlled high-intensity sensorimotor training. A group of animals received Anti-Nogo antibodies for the first two weeks after stroke, a neuronal growth promoting immunotherapy already in clinical trials. Early exposure to the enriched environment resulted in poor outcome: Training intensity was correlated to enhanced systemic inflammation and functional impairment. In contrast, animals starting intense sensorimotor training two weeks after stroke preceded by the immunotherapy revealed better recovery with functional outcome positively correlated to the training intensity and the extent of re-innervation of the stroke denervated cervical hemi-cord. Our results suggest stroke-induced fatigue as a biological purposeful reaction of the organism during neuronal remodeling, enabling new circuit formation which will then be stabilized or pruned in the subsequent rehabilitative training phase. However, intense training too early may lead to wrong connections and is thus less effective.},
	url = {http://journals.sagepub.com/doi/abs/10.1177/0271678X18777661},
	author = {Anna-Sophia Wahl and Erlebach, E. and Biagio Brattoli and Uta B{\"u}chler and Kaiser, J. and Ineichen, V. B. and Alice C. Mosberger and Schneeberger, S. and Imobersteg, S. and Wieckhorst, M. and Stirn, M. and Schroeter, A. and Bj{\"o}rn Ommer and M. E. Schwab}
}
@proceedings {6272,
	title = {Essentially No Barriers in Neural Network Energy Landscape},
	volume = {80},
	year = {2018},
	pages = {1308--1317},
	author = {Draxler, F and Veschgini, K and Salmhofer, M and Fred A. Hamprecht}
}
@conference {DBLP:conf/aaai/HallerSS18,
	title = {Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation},
	booktitle = {Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018},
	year = {2018},
	publisher = {AAAI Press},
	organization = {AAAI Press},
	url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16379},
	author = {Stefan Haller and Paul Swoboda and Bogdan Savchynskyy},
	editor = {Sheila A. McIlraith and Kilian Q. Weinberger}
}
@article {6141,
	title = {Fast median filtering for phase or orientation data},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {40},
	year = {2018},
	month = {03/2018},
	pages = {639{\textendash}652},
	doi = {10.1109/TPAMI.2017.2692779},
	author = {Martin Storath and Andreas Weinmann}
}
@article {6271,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {preprint: ArXiv},
	year = {2018},
	url = {https://arxiv.org/pdf/1805.07272.pdf},
	author = {Rathke, F. and Schn{\"o}rr, Cl.}
}
@article {Rathke:2018aa,
	title = {Fast Multivariate Log-Concave Density Estimation},
	journal = {preprint: arXiv},
	year = {2018},
	url = {https://arxiv.org/pdf/1805.07272.pdf},
	author = {Rathke, F. and Schn{\"o}rr, C.}
}
@article {fortun2018fast,
	title = {Fast Piecewise-Affine Motion Estimation Without Segmentation},
	journal = {IEEE Transactions on Image Processing},
	volume = {27 },
	year = {2018},
	pages = {5612 - 5624},
	author = {Denis Fortun and Martin Storath and Dennis Rickert and Andreas Weinmann and Michael Unser}
}
@conference {Zern:2018aa,
	title = {Geometric Image Labeling with Global Convex Labeling Constraints},
	booktitle = {EMMCVPR},
	series = {LNCS},
	volume = {10746},
	year = {2018},
	pages = {533{\textendash}547},
	author = {Zern, A. and Rohr, K. and Schn{\"o}rr, C.}
}
@article {Zeilmann:2018aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {preprint: arXiv},
	year = {2018},
	url = {https://arxiv.org/abs/1810.06970},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@article {6266,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {11},
	year = {2018},
	pages = {1317-1362},
	doi = {10.1137/17M1150669},
	author = {H{\"u}hnerbein, R and Savarino, F and Freddie Astr{\"o}m and Schn{\"o}rr, C}
}
@article {Huhnerbein:2018aa,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	journal = {SIAM J. Imaging Science},
	volume = {11},
	number = {2},
	year = {2018},
	pages = {1317{\textendash}1362},
	url = {https://epubs.siam.org/doi/abs/10.1137/17M1150669},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@mastersthesis {6242,
	title = {Learnability of Approximated Graph Cut Segmentation},
	year = {2018},
	school = {Heidelberg University},
	author = {Schimmel, F}
}
@proceedings {6234,
	title = {Learning Steerable Filters for Rotation Equivariant CNNs},
	year = {2018},
	pages = {849-858},
	doi = {10.1109/CVPR.2018.00095},
	author = {Maurice Weiler and Fred A. Hamprecht and Martin Storath}
}
@article {erb2017mathematical,
	title = {Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging},
	journal = {Inverse Problems},
	volume = {34},
	year = {2018},
	author = {Erb, Wolfgang and Andreas Weinmann and Ahlborg, Mandy and Christina Brandt and Bringout, Gael and Buzug, Thorsten M and Frikel, J{\"u}rgen and Kaethner, Christian and Tobias Knopp and M{\"a}rz, Thomas and M{\"o}ddel, Martin and Martin Storath and Alexander Weber}
}
@article {Shekhovtsov2018,
	title = {Maximum Persistency via Iterative Relaxed Inference in Graphical Models},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {40},
	number = {7},
	year = {2018},
	pages = {1668{\textendash}1682},
	abstract = {We consider the NP-hard problem of MAP-inference for undirected discrete graphical models. We propose a polynomial time and practically efficient algorithm for finding a part of its optimal solution. Specifically, our algorithm marks some labels of the considered graphical model either as (i) optimal, meaning that they belong to all optimal solutions of the inference problem; (ii) non-optimal if they provably do not belong to any solution. With access to an exact solver of a linear programming relaxation to the MAP-inference problem, our algorithm marks the maximal possible (in a specified sense) number of labels. We also present a version of the algorithm, which has access to a suboptimal dual solver only and still can ensure the (non-)optimality for the marked labels, although the overall number of the marked labels may decrease. We propose an efficient implementation, which runs in time comparable to a single run of a suboptimal dual solver. Our method is well-scalable and shows state-of-the-art results on computational benchmarks from machine learning and computer vision.},
	keywords = {discrete optimization, energy minimization, graphical models, LP relaxation, partial optimality, persistency, WCSP},
	issn = {01628828},
	doi = {10.1109/TPAMI.2017.2730884},
	url = {http://www.icg.tugraz.at/},
	author = {Shekhovtsov, Alexander and Swoboda, Paul and Savchynskyy, Bogdan}
}
@article {6221,
	title = {Model-based learning of local image features for unsupervised texture segmentation},
	journal = {IEEE Transactions on Image Processing},
	volume = {27},
	year = {2018},
	pages = {1994-2007},
	author = {Martin Kiechle and Martin Storath and Andreas Weinmann and Martin Kleinsteuber}
}
@conference {Tourani2018,
	title = {MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11208 LNCS},
	year = {2018},
	pages = {264{\textendash}281},
	abstract = {Dense, discrete Graphical Models with pairwise potentials are a powerful class of models which are employed in state-of-the-art computer vision and bio-imaging applications. This work introduces a new MAP-solver, based on the popular Dual Block-Coordinate Ascent principle. Surprisingly, by making a small change to a low-performing solver, the Max Product Linear Programming (MPLP) algorithm [7], we derive the new solver MPLP++ that significantly outperforms all existing solvers by a large margin, including the state-of-the-art solver Tree-Reweighted Sequential (TRW-S) message-passing algorithm [17]. Additionally, our solver is highly parallel, in contrast to TRW-S, which gives a further boost in performance with the proposed GPU and multi-thread CPU implementations. We verify the superiority of our algorithm on dense problems from publicly available benchmarks as well as a new benchmark for 6D Object Pose estimation. We also provide an ablation study with respect to graph density.},
	keywords = {Block-Coordinate-Ascent, graphical models, Message passing algorithms},
	isbn = {9783030012243},
	issn = {16113349},
	doi = {10.1007/978-3-030-01225-0_16},
	author = {Tourani, Siddharth and Shekhovtsov, Alexander and Carsten Rother and Savchynskyy, Bogdan}
}
@conference {Kostrykin:2018aa,
	title = {Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming},
	booktitle = {Proc. ISBI},
	year = {2018},
	author = {Kostrykin, L. and Schn{\"o}rr, C. and Rohr, K.}
}
@conference {style_aware_content_loss_eccv18,
	title = {A Style-Aware Content Loss for Real-time HD Style Transfer},
	booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) (Oral)},
	year = {2018},
	abstract = {Recently, style transfer has received a lot of attention. While much of this research has aimed at speeding up processing, the approaches are still lacking from a principled, art historical standpoint: a style is more than just a single image or an artist, but previous work is limited to only a single instance of a style or shows no benefit from more images. Moreover, previous work has relied on a direct comparison of art in the domain of RGB images or on CNNs pre-trained on ImageNet, which requires millions of labeled object bounding boxes and can introduce an extra bias, since it has been assembled without artistic consideration. To circumvent these issues, we propose a style-aware content loss, which is trained jointly with a deep encoder-decoder network for real-time, high-resolution stylization of images and videos. We propose a quantitative measure for evaluating the quality of a stylized image and also have art historians rank patches from our approach against those from previous work. These and our qualitative results ranging from small image patches to megapixel stylistic images and videos show that our approach better captures the subtle nature in which a style affects content.
},
	keywords = {deep learning, generative network, Style transfer},
	author = {Sanakoyeu, A. and Dmytro Kotovenko and Sabine Lang and Bj{\"o}rn Ommer}
}
@article {bredies2017total,
	title = {Total Generalized Variation for Manifold-valued Data},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {11},
	year = {2018},
	pages = {1785 - 1848},
	author = {Kristian Bredies and Martin Holler and Martin Storath and Andreas Weinmann}
}
@proceedings {6267,
	title = {Trust your Model: Light Field Depth Estimation with inline Occlusion Handling},
	year = {2018},
	doi = {10.1109/CVPR.2018.00476},
	author = {Hendrik Schilling and Maximilian Diebold and Carsten Rother and Bernd J{\"a}hne}
}
@conference {Schilling2018,
	title = {Trust your Model: Light Field Depth Estimation with Inline Occlusion Handling},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2018},
	pages = {4530{\textendash}4538},
	abstract = {We address the problem of depth estimation from light-field images. Our main contribution is a new way to handle occlusions which improves general accuracy and quality of object borders. In contrast to all prior work we work with a model which directly incorporates both depth and occlusion, using a local optimization scheme based on the PatchMatch algorithm. The key benefit of this joint approach is that we utilize all available data, and not erroneously discard valuable information in pre-processing steps. We see the benefit of our approach not only at improved object boundaries, but also at smooth surface reconstruction, where we outperform even methods which focus on good surface regularization. We have evaluated our method on a public light-field dataset, where we achieve state-of-the-art results in nine out of twelve error metrics, with a close tie for the remaining three.},
	isbn = {9781538664209},
	issn = {10636919},
	doi = {10.1109/CVPR.2018.00476},
	author = {Schilling, Hendrik and Maximilian Diebold and Carsten Rother and Bernd J{\"a}hne}
}
@proceedings {6311,
	title = {Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment},
	year = {2018},
	pages = {698-713},
	doi = {10.1007/978-3-030-12939-2_48},
	author = {Zern, A and M. Zisler and Freddie Astr{\"o}m and Petra, S and Schn{\"o}rr, C}
}
@conference {Zern:2018ac,
	title = {Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment},
	booktitle = {GCPR},
	year = {2018},
	author = {Zern, A. and M. Zisler and Astr{\"o}m, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {6249,
	title = {A Variational U-Net for Conditional Appearance and Shape Generation},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral)},
	year = {2018},
	abstract = {Deep generative models have demonstrated great performance in image synthesis. However, results deteriorate in case of spatial deformations, since they generate images of objects directly, rather than modeling the intricate interplay of their inherent shape and appearance. We present a conditional U-Net for shape-guided image generation, conditioned on the output of a variational autoencoder for appearance. The approach is trained end-to-end on images, without requiring samples of the same object with varying pose or appearance. Experiments show that the model enables conditional image generation and transfer. Therefore, either shape or appearance can be retained from a query image, while freely altering the other. Moreover, appearance can be sampled due to its stochastic latent representation, while preserving shape. In quantitative and qualitative experiments on COCO, DeepFashion, shoes, Market-1501 and handbags, the approach demonstrates significant improvements over the state-of-the-art.},
	url = {https://compvis.github.io/vunet/},
	author = {Patrick Esser and Ekaterina Sutter and Bj{\"o}rn Ommer}
}
@article {6180,
	title = {Active machine learning for training an event classification},
	journal = {Patent, Patent Number WO2017032775 A1},
	year = {2017},
	author = {Kandemir, M. and Fred A. Hamprecht and Wojek, C. and Schmidt, U.}
}
@conference {Dalitz2017,
	title = {Compressed Motion Sensing},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Dalitz, R. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Schlesinger2017,
	title = {Crowd sourcing image segmentation with iaSTAPLE},
	booktitle = {Proceedings - International Symposium on Biomedical Imaging},
	year = {2017},
	pages = {401{\textendash}405},
	abstract = {We propose a novel label fusion technique as well as a crowdsourcing protocol to efficiently obtain accurate epithelial cell segmentations from non-expert crowd workers. Our label fusion technique simultaneously estimates the true segmentation, the performance levels of individual crowd workers, and an image segmentation model in the form of a pairwise Markov random field. We term our approach image-aware STAPLE (iaSTAPLE) since our image segmentation model seamlessly integrates into the well-known and widely used STAPLE approach. In an evaluation on a light microscopy dataset containing more than 5000 membrane labeled epithelial cells of a fly wing, we show that iaSTAPLE outperforms STAPLE in terms of segmentation accuracy as well as in terms of the accuracy of estimated crowd worker performance levels, and is able to correctly segment 99\% of all cells when compared to expert segmentations. These results show that iaSTAPLE is a highly useful tool for crowd sourcing image segmentation.},
	keywords = {Crowdsourcing, Epithelial cell segmentation, IaSTAPLE, Markovian Random Fields},
	isbn = {9781509011711},
	issn = {19458452},
	doi = {10.1109/ISBI.2017.7950547},
	author = {Schlesinger, Dmitrij and Jug, Florian and Myers, Gene and Carsten Rother and Kainmueller, Dagmar}
}
@conference {6200,
	title = {Deep Unsupervised Similarity Learning using Partially Ordered Sets},
	booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2017},
	author = {Miguel Bautista and Sanakoyeu, A. and Bj{\"o}rn Ommer}
}
@article {schilling2017,
	title = {On the design of a fractal calibration pattern for improved camera calibration},
	journal = {tm - Technisches Messen},
	volume = {84},
	year = {2017},
	pages = {440{\textendash}451},
	doi = {10.1515/teme-2017-0013},
	author = {Hendrik Schilling and Maximilian Diebold and Marcel Gutsche and Bernd J{\"a}hne}
}
@conference {Brachmann2017,
	title = {DSAC - Differentiable RANSAC for camera localization},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	month = {nov},
	pages = {2492{\textendash}2500},
	abstract = {RANSAC is an important algorithm in robust optimization and a central building block for many computer vision applications. In recent years, traditionally hand-crafted pipelines have been replaced by deep learning pipelines, which can be trained in an end-to-end fashion. However, RANSAC has so far not been used as part of such deep learning pipelines, because its hypothesis selection procedure is non-differentiable. In this work, we present two different ways to overcome this limitation. The most promising approach is inspired by reinforcement learning, namely to replace the deterministic hypothesis selection by a probabilistic selection for which we can derive the expected loss w.r.t. to all learnable parameters. We call this approach DSAC, the differentiable counterpart of RANSAC. We apply DSAC to the problem of camera localization, where deep learning has so far failed to improve on traditional approaches. We demonstrate that by directly minimizing the expected loss of the output camera poses, robustly estimated by RANSAC, we achieve an increase in accuracy. In the future, any deep learning pipeline can use DSAC as a robust optimization component.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.267},
	url = {http://arxiv.org/abs/1611.05705},
	author = {Brachmann, Eric and Krull, Alexander and Nowozin, Sebastian and Shotton, Jamie and Michel, Frank and Gumhold, Stefan and Carsten Rother}
}
@article {storath2016edge,
	title = {Edge preserving and noise reducing reconstruction for magnetic particle imaging},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {36},
	year = {2017},
	pages = {74 - 85},
	doi = {10.1109/TMI.2016.2593954},
	author = {Martin Storath and Christina Brandt and Martin Hofmann and Tobias Knopp and Johannes~Salamon and Alexander Weber and Andreas Weinmann}
}
@article {storath2016fast,
	title = {Fast segmentation from blurred data in {3D} fluorescence microscopy},
	journal = {IEEE Transactions on Image Processing},
	volume = {26},
	year = {2017},
	month = {06/2017},
	chapter = { 4856 - 4870},
	doi = {10.1109/TIP.2017.2716843},
	author = {Martin Storath and Dennis Rickert and Michael Unser and Andreas Weinmann}
}
@article {Astroem2017b,
	title = {A Geometric Approach for Color Image Regularization},
	journal = {Comp. Vision Image Understanding},
	volume = {165},
	year = {2017},
	pages = {43{\textendash}59},
	url = {https://doi.org/10.1016/j.cviu.2017.10.013},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@conference {Zern2017,
	title = {Geometric Image Labeling with Global Convex Labeling Constraints},
	booktitle = {Proc. EMMCVPR},
	year = {2017},
	note = {to appear},
	author = {Zern, A. and Rohr, K. and Schn{\"o}rr, C.}
}
@conference {Michel2017,
	title = {Global hypothesis generation for 6D object pose estimation},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	month = {dec},
	pages = {115{\textendash}124},
	abstract = {This paper addresses the task of estimating the 6D pose of a known 3D object from a single RGB-D image. Most modern approaches solve this task in three steps: i) Compute local features; ii) Generate a pool of pose-hypotheses; iii) Select and refine a pose from the pool. This work focuses on the second step. While all existing approaches generate the hypotheses pool via local reasoning, e.g. RANSAC or Hough-voting, we are the first to show that global reasoning is beneficial at this stage. In particular, we formulate a novel fully-connected Conditional Random Field (CRF) that outputs a very small number of pose-hypotheses. Despite the potential functions of the CRF being non-Gaussian, we give a new and efficient two-step optimization procedure, with some guarantees for optimality. We utilize our global hypotheses generation procedure to produce results that exceed state-of-the-art for the challenging "Occluded Object Dataset".},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.20},
	url = {http://arxiv.org/abs/1612.02287},
	author = {Michel, Frank and Kirillov, Alexander and Brachmann, Eric and Krull, Alexander and Gumhold, Stefan and Savchynskyy, Bogdan and Carsten Rother}
}
@conference {Zisler2017a,
	title = {Gradient Flows on a Riemannian Submanifold for Discrete Tomography},
	booktitle = {Proc. GCPR},
	year = {2017},
	author = {M. Zisler and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@booklet {Huehnerbein2017,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	year = {2017},
	note = {arXiv, preprint},
	month = {Oct},
	url = {http://arxiv.org/abs/1710.01493},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@article {Astroem2017,
	title = {Image Labeling by Assignment},
	journal = {J. Math. Imag. Vision},
	volume = {58},
	number = {2},
	year = {2017},
	pages = {211{\textendash}238},
	url = {Papers/Astroem2017.pdf},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@conference {Zisler2017,
	title = {Image Reconstruction by Multilabel Propagation},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {M. Zisler and Astr{\"o}m, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Kirillov2017a,
	title = {InstanceCut: From edges to instances with MultiCut},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	pages = {7322{\textendash}7331},
	abstract = {This work addresses the task of instance-aware semantic segmentation. Our key motivation is to design a simple method with a new modelling-paradigm, which therefore has a different trade-off between advantages and disadvantages compared to known approaches.Our approach, we term InstanceCut, represents the problem by two output modalities: (i) an instance-agnostic semantic segmentation and (ii) all instance-boundaries. The former is computed from a standard convolutional neural network for semantic segmentation, and the latter is derived from a new instanceaware edge detection model. To reason globally about the optimal partitioning of an image into instances, we combine these two modalities into a novel MultiCut formulation. We evaluate our approach on the challenging CityScapes dataset. Despite the conceptual simplicity of our approach, we achieve the best result among all published methods, and perform particularly well for rare object classes.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.774},
	author = {Kirillov, Alexander and Levinkov, Evgeny and Bj{\"o}rn Andres and Savchynskyy, Bogdan and Carsten Rother}
}
@conference {Levinkov2017,
	title = {Joint graph decomposition \& node labeling: Problem, algorithms, applications},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	pages = {1904{\textendash}1912},
	abstract = {We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. This problem offers a common mathematical abstraction of seemingly unrelated computer vision tasks, including instance-separating semantic segmentation, articulated human body pose estimation and multiple object tracking. Conceptually, the problem we state generalizes the unconstrained integer quadratic program and the minimum cost lifted multicut problem, both of which are NP-hard. In order to find feasible solutions efficiently, we define two local search algorithms that converge monotonously to a local optimum, offering a feasible solution at any time. To demonstrate their effectiveness in tackling computer vision tasks, we apply these algorithms to instances of the problem that we construct from published data, using published algorithms. We report state-of-the-art application-specific accuracy for the three above-mentioned applications.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.206},
	author = {Levinkov, Evgeny and Uhrig, Jonas and Tang, Siyu and Omran, Mohamed and Insafutdinov, Eldar and Kirillov, Alexander and Carsten Rother and Brox, Thomas and Schiele, Bernt and Bj{\"o}rn Andres}
}
@conference {Kirillov2017,
	title = {Joint training of generic CNN-CRF models with stochastic optimization},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {10112 LNCS},
	year = {2017},
	pages = {221{\textendash}236},
	abstract = {We propose a new CNN-CRF end-to-end learning framework, which is based on joint stochastic optimization with respect to both Convolutional Neural Network (CNN) and Conditional Random Field (CRF) parameters. While stochastic gradient descent is a standard technique for CNN training, it was not used for joint models so far. We show that our learning method is (i) general, i.e. it applies to arbitrary CNN and CRF architectures and potential functions; (ii) scalable, i.e. it has a low memory footprint and straightforwardly parallelizes on GPUs; (iii) easy in implementation. Additionally, the unified CNN-CRF optimization approach simplifies a potential hardware implementation. We empirically evaluate our method on the task of semantic labeling of body parts in depth images and show that it compares favorably to competing techniques.},
	isbn = {9783319541839},
	issn = {16113349},
	doi = {10.1007/978-3-319-54184-6_14},
	url = {http://host.robots.ox.ac.uk:8080/leaderboard},
	author = {Kirillov, A and Schlesinger, D and Zheng, S and Savchynskyy, B and Torr, P. H.S. and Carsten Rother}
}
@article {storath2016jump,
	title = {Jump-penalized least absolute values estimation of scalar or circle-valued signals},
	journal = {Information and Inference},
	volume = {6},
	year = {2017},
	pages = {225{\textendash}245},
	doi = {10.1093/imaiai/iaw022},
	author = {Martin Storath and Andreas Weinmann and Michael Unser}
}
@mastersthesis {6203,
	title = {Learned Watershed Algorithm: End-to-End Learning of Seeded Segmentation},
	year = {2017},
	school = {Heidelberg University},
	author = {Schott, L}
}
@article {6212,
	title = {Learned Watershed: End-to-End Learning of Seeded Segmentation},
	year = {2017},
	pages = {2030-2038},
	author = {Wolf, S and Schott, L and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@techreport {Kruse,
	title = {Learning to Push the Limits of Efficient FFT-based Image Deconvolution - Supplemental Material},
	year = {2017},
	abstract = {1. Details about boundary adjustment comparison Section 4.3 of the main paper compares our proposed boundary adjustment (BA) strategy (Our BA, cf. Eq. 17 and Fig. 2 of the main paper) to the traditional edgetapering method (ET once, cf. Eq. 11 of the main paper) and the BA approach (ET each) of CSF [3]; these BA strategies are compared within our FDN model, the CSF model, and a standard Wiener filter [5]. Specifically, we use the publicly available code to train different variants of the CSF model on a dataset of the same size as ours, and only adjust the BA strategy. Furthermore, we apply the Wiener filter as defined in Eq. 2 of the main paper, which we can use iteratively with our BA approach by replacing y with ϕ t (y, k, x t); we estimate the expected image spectrum n from 3000 clean image patches. While our BA comparison is depicted visually in Fig. 5 of the main paper, Table 1 also provides the numeric results and additionally includes stages 6-10 of our FDN model. As compared to the BA approach of CSF (ET each), the results suggest that CSF would also benefit from further stages if used with our BA strategy (cf. 6 th column). Remarkably, the performance of the Wiener filter is not even fully saturated after 50 iterations (Wiener 50) when applied with our BA approach (cf. 3 rd column, only every 5 th step shown after iteration 10). Fig. 1 shows an example where our proposed BA strategy yields a substantial improvement in image quality compared to standard edgetapering (ET once).},
	author = {Kruse, Jakob and Carsten Rother and Schmidt, Uwe and Dresden, T U}
}
@conference {Kruse2017,
	title = {Learning to Push the Limits of Efficient FFT-Based Image Deconvolution},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2017-Octob},
	year = {2017},
	pages = {4596{\textendash}4604},
	abstract = {This work addresses the task of non-blind image deconvolution. Motivated to keep up with the constant increase in image size, with megapixel images becoming the norm, we aim at pushing the limits of efficient FFT-based techniques. Based on an analysis of traditional and more recent learning-based methods, we generalize existing discriminative approaches by using more powerful regularization, based on convolutional neural networks. Additionally, we propose a simple, yet effective, boundary adjustment method that alleviates the problematic circular convolution assumption, which is necessary for FFT-based deconvolution. We evaluate our approach on two common non-blind deconvolution benchmarks and achieve state-of-the-art results even when including methods which are computationally considerably more expensive.},
	isbn = {9781538610329},
	issn = {15505499},
	doi = {10.1109/ICCV.2017.491},
	author = {Kruse, Jakob and Carsten Rother and Schmidt, Uwe}
}
@conference {Bodnariuc2017a,
	title = {A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry},
	booktitle = {Proc. GCPR},
	year = {2017},
	author = {Ecaterina Bodnariuc and Petra, S. and Schn{\"o}rr, C. and Voorneveld, J.}
}
@proceedings {6201,
	title = {Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans},
	year = {2017},
	pages = {177-184},
	doi = {10.1007/978-3-319-66182-7_21},
	author = {Rathke, F and Desana, M and Schn{\"o}rr, C}
}
@conference {Rathke2017,
	title = {Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans},
	booktitle = {Proc. MICCAI},
	year = {2017},
	author = {Rathke, F. and Desana, M. and Schn{\"o}rr, C.}
}
@conference {buechler:CVPR:2017,
	title = {LSTM Self-Supervision for Detailed Behavior Analysis},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2017},
	publisher = {(BB and UB contributed equally)},
	organization = {(BB and UB contributed equally)},
	abstract = {Behavior analysis provides a crucial non-invasive and
easily accessible diagnostic tool for biomedical research.
A detailed analysis of posture changes during skilled mo-
tor tasks can reveal distinct functional deficits and their
restoration during recovery. Our specific scenario is based
on a neuroscientific study of rodents recovering from a large
sensorimotor cortex stroke and skilled forelimb grasping is
being recorded. Given large amounts of unlabeled videos
that are recorded during such long-term studies, we seek
an approach that captures fine-grained details of posture
and its change during rehabilitation without costly manual
supervision. Therefore, we utilize self-supervision to au-
tomatically learn accurate posture and behavior represen-
tations for analyzing motor function. Learning our model
depends on the following fundamental elements: (i) limb
detection based on a fully convolutional network is ini-
tialized solely using motion information, (ii) a novel self-
supervised training of LSTMs using only temporal permu-
tation yields a detailed representation of behavior, and (iii)
back-propagation of this sequence representation also im-
proves the description of individual postures. We establish a
novel test dataset with expert annotations for evaluation of
fine-grained behavior analysis. Moreover, we demonstrate
the generality of our approach by successfully applying it to
self-supervised learning of human posture on two standard
benchmark datasets.},
	author = {Biagio Brattoli and Uta B{\"u}chler and Anna-Sophia Wahl and M. E. Schwab and Bj{\"o}rn Ommer}
}
@conference {Astroem2017a,
	title = {MAP Image Labeling Using Wasserstein Messages and Geometric Assignment},
	booktitle = {Proc. SSVM},
	series = {LCNS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Astr{\"o}m, F. and H{\"u}hnerbein, R. and Savarino, F. and Recknagel, J. and Schn{\"o}rr, C.}
}
@article {6181,
	title = {Maschinelles Lernen},
	journal = {Patent, Patent Number WO2017032775A1},
	year = {2017},
	author = {Kandemir, M. and Fred A. Hamprecht and Wojek, C and Schmidt, U.}
}
@article {6122,
	title = {Multicut brings automated neurite segmentation closer to human performance},
	journal = {Nature Methods},
	volume = {14},
	year = {2017},
	pages = {101-102},
	doi = {10.1038/nmeth.4151},
	url = {http://rdcu.be/oVDQ},
	author = {Thorsten Beier and Pape, C and Rahaman, N and Prange, T and Stuart Berg and Bock, D and A. Cardona and G. W. Knott and Plaza, S M and Scheffer, L K and Ullrich K{\"o}the and Kreshuk, A and Fred A. Hamprecht}
}
@conference {Savarino2017,
	title = {Numerical Integration of Riemannian Gradient Flows for Image Labeling},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Savarino, F. and H{\"u}hnerbein, R. and Astr{\"o}m, F. and Recknagel, J. and Schn{\"o}rr, C.}
}
@article {6210,
	title = {An Objective Comparison of Cell Tracking Algorithms},
	journal = {Nature Methods},
	volume = {14},
	year = {2017},
	pages = {1141-1152},
	doi = {10.1038/NMETH.447},
	author = {Ulman, V. and Ma{\v s}ka, M. and Magnusson, K .E. G. and Ronneberger, O. and Haubold, C. and Harder, N. and Matula, P. and Matula, P. and Svoboda, D. and Radojevic, M. and Smal, I. and Karl Rohr and Jald{\'e}n, J. and Blau, H. M. and Dzyubachyk, O. and Lelieveldt, B. and Xiao, P. and Li, Y. and Cho, S-Y. and Dufour, A. and Olivo-Marin, J. C. and Reyes-Aldasoro, C. C. and Solis-Lemus, J. A. and Bensch, R. and Brox, T. and Stegmaier, J. and Mikut, R. and Wolf, S. and Fred A. Hamprecht and Esteves, T. and Quelhas, P. and Demirel, {\"O}. and Malstr{\"o}m, L. and Jug, F. and Toman{\v c}{\'a}k, P. and Meijering, E. and Mu{\~n}oz-Barrutia, A. and Kozubek, M. and Ortiz-de-Solorzano, C.}
}
@article {6188,
	title = {Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation},
	journal = {Nature Communications},
	year = {2017},
	pages = {(ASW \& UB contributed equally; BO and MES contributed equally)},
	doi = {10.1038/s41467-017-01090-6},
	url = {https://www.nature.com/articles/s41467-017-01090-6},
	author = {Anna-Sophia Wahl and Uta B{\"u}chler and A. Br{\"a}ndli and Biagio Brattoli and S. Musall and H. Kasper and B.V. Ineichen and F. Helmchen and Bj{\"o}rn Ommer and M. E. Schwab}
}
@conference {Krull2017,
	title = {PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	month = {dec},
	pages = {2566{\textendash}2574},
	abstract = {State-of-the-art computer vision algorithms often achieve efficiency by making discrete choices about which hypotheses to explore next. This allows allocation of computational resources to promising candidates, however, such decisions are non-differentiable. As a result, these algorithms are hard to train in an end-to-end fashion. In this work we propose to learn an efficient algorithm for the task of 6D object pose estimation. Our system optimizes the parameters of an existing state-of-the art pose estimation system using reinforcement learning, where the pose estimation system now becomes the stochastic policy, parametrized by a CNN. Additionally, we present an efficient training algorithm that dramatically reduces computation time. We show empirically that our learned pose estimation procedure makes better use of limited resources and improves upon the state-of-the-art on a challenging dataset. Our approach enables differentiable end-to-end training of complex algorithmic pipelines and learns to make optimal use of a given computational budget.},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.275},
	url = {http://arxiv.org/abs/1612.03779},
	author = {Krull, Alexander and Brachmann, Eric and Nowozin, Sebastian and Michel, Frank and Shotton, Jamie and Carsten Rother}
}
@article {Berger2017,
	title = {{Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations},
	journal = {J. Math. Imag. Vision},
	volume = {58},
	number = {1},
	year = {2017},
	pages = {102{\textendash}129},
	author = {Johannes Berger and Lenzen, F. and Florian Becker and Neufeld, A. and Schn{\"o}rr, C.}
}
@conference {Markowsky2017,
	title = {Segmentation of cell structure using model-based set covering with iterative reweighting},
	booktitle = {Proc. ISBI},
	year = {2017},
	author = {Markowsky, P. and Reith, S. and Zuber, T.E. and K{\"o}nig, R. and Rohr, K. and Schn{\"o}rr, C.}
}
@conference {6193,
	title = {Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
	year = {2017},
	abstract = {Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint locations and beyond. To avoid the need for expensive labeling, we exploit spatiotemporal relations in training videos for self-supervised learning of pose embeddings. The key idea is to combine temporal ordering and spatial placement estimation as auxiliary tasks for learning pose similarities in a Siamese convolutional network. Since the self-supervised sampling of both tasks from natural videos can result in ambiguous and incorrect training labels, our method employs a curriculum learning idea that starts training with the most reliable data samples and gradually increases the difficulty. To further refine the training process we mine repetitive poses in individual videos which provide reliable labels while removing inconsistencies. Our pose embeddings capture visual characteristics of human pose that can boost existing supervised representations in human pose estimation and retrieval. We report quantitative and qualitative results on these tasks in Olympic Sports, Leeds Pose Sports and MPII Human Pose datasets.},
	author = {{\"O}mer S{\"u}mer and Tobias Dencker and Bj{\"o}rn Ommer}
}
@article {Hullin2017,
	title = {Semantic-Aware Image Smoothing},
	journal = {Vision, Modeling, and Visualization},
	year = {2017},
	abstract = {Structure-preserving image smoothing aims to extract semantically meaningful image structure from texture, which is one of the fundamental problems in computer vision and graphics. However, it is still not clear how to define this concept. On the other hand, semantic image labeling has achieved significant progress recently and has been widely used in many computer vision tasks. In this paper, we present an interesting observation, i.e. high-level semantic image labeling information can provide a meaningful structure prior naturally. Based on this observation, we propose a simple and yet effective method, which we term semantic smoothing, by exploiting the semantic information to accomplish semantically structure-preserving image smoothing. We show that our approach outperforms the state-of-the-art approaches in texture removal by considering the semantic infor-mation for structure preservation. Also, we apply our approach to three applications: detail enhancement, edge detection, and image segmentation, and we demonstrate the effectiveness of our semantic smoothing method on these problems.},
	keywords = {Enhancement{\textemdash} Smoothing, I43 [Image Processing and Computer Vision]},
	url = {https://hci.iwr.uni-heidelberg.de/vislearn/wp-content/uploads/2014/08/paper1024_CRC.pdf},
	author = {Hullin, M and Klein, R and Schultz, T and Yao, A and Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@conference {6187,
	title = {Unsupervised Video Understanding by Reconciliation of Posture Similarities},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
	year = {2017},
	url = {https://hciweb.iwr.uni-heidelberg.de/compvis/research/tmilbich_iccv17},
	author = {Timo Milbich and Miguel Bautista and Ekaterina Sutter and Bj{\"o}rn Ommer}
}
@conference {Astroem2016a,
	title = {The Assignment Manifold: A Smooth Model for Image Labeling},
	booktitle = {Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML{\textquoteright}16; oral presentation; Grenander best paper award)},
	year = {2016},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@conference {arXiv:1608.08792,
	title = {CliqueCNN: Deep Unsupervised Exemplar Learning},
	booktitle = {Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS)},
	year = {2016},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Barcelona},
	abstract = {Exemplar learning is a powerful paradigm for discovering visual similarities in
an unsupervised manner.  In this context, however, the recent breakthrough in
deep learning could not yet unfold its full potential.  With only a single positive
sample, a great imbalance between one positive and many negatives, and unreliable
relationships between most samples, training of Convolutional Neural networks is
impaired. Given weak estimates of local distance we propose a single optimization
problem to extract batches of samples with mutually consistent relations. Conflict-
ing relations are distributed over different batches and similar samples are grouped
into compact cliques. Learning exemplar similarities is framed as a sequence of
clique categorization tasks. The CNN then consolidates transitivity relations within
and between cliques and learns a single representation for all samples without
the need for labels. The proposed unsupervised approach has shown competitive
performance on detailed posture analysis and object classification.},
	url = {https://arxiv.org/abs/1608.08792},
	author = {Miguel Bautista and Sanakoyeu, A. and Sutter, E. and Bj{\"o}rn Ommer}
}
@article {baust2016combined,
	title = {Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {35},
	year = {2016},
	pages = {1972{\textendash}1989},
	doi = {10.1109/TMI.2016.2528820},
	author = {Maximilian Baust and Andreas Weinmann and Matthias Wieczorek and Tobias Lasser and Martin Storath and Nassir Navab}
}
@mastersthesis {6144,
	title = {Deep Learning for Bioimage Analysis},
	year = {2016},
	school = {University of Heidelberg},
	author = {Schmidt, P}
}
@article {kleesiek_16_deep,
	title = {Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.},
	journal = {NeuroImage},
	volume = {129},
	year = {2016},
	pages = {460-469},
	doi = {10.1016/j.neuroimage.2016.01.024},
	author = {Kleesiek, J and Urban, G and Hubert, A and Schwarz, D and Maier-Hein, K and M. Bendszus and A. Biller}
}
@conference {Zisler2016a,
	title = {Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints},
	booktitle = {Proc. GCPR},
	year = {2016},
	author = {M. Zisler and Petra, S. and Schn{\"o}rr, Cl. and Christoph Schn{\"o}rr}
}
@conference {Astroem2016c,
	title = {Double-Opponent Vectorial Total Variation},
	booktitle = {Proc. ECCV},
	year = {2016},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@article {6152,
	title = {A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems},
	journal = {arXiv, preprint},
	year = {2016},
	url = {https://arxiv.org/pdf/1612.05460.pdf},
	author = {Swoboda, P. and Kuske, J. and Savchynskyy, B.}
}
@booklet {Desana2016,
	title = {Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models},
	year = {2016},
	note = {ArXiv},
	month = {April},
	url = {http://arxiv.org/abs/1604.07243},
	author = {Desana, M. and Schn{\"o}rr, C.}
}
@proceedings {schilling-etal-2016-ForumBildverarbeitung,
	title = {A fractal calibration pattern for improved camera calibration},
	year = {2016},
	abstract = {Camera calibration, crucial for computer vision tasks, often relies on planar calibration targets to calibrate the camera parameters. This work explores a planar, fractal, self-identifying calibration pattern, which provides a high density of calibration points for a large range of magnification factors. An evaluation on ground truth data shows the target provides very high accuracy over a wide range of conditions.},
	doi = {10.5445/KSP/1000059899},
	url = {https://doi.org/10.5445/KSP/1000059899},
	author = {Hendrik Schilling and Maximilian Diebold and Marcel Gutsche and Hamza Aziz-Ahmad and Bernd J{\"a}hne}
}
@proceedings {6080,
	title = {Gaussian process density counting from weak supervision},
	volume = {LNCS 9905},
	year = {2016},
	pages = {365-380 },
	publisher = {Springer},
	doi = { 	10.1007/978-3-319-46448-0_22},
	author = {M. von Borstel and Kandemir, M and Schmidt, P and Rao, M and Rajamani, K and Fred A. Hamprecht}
}
@booklet {Astroem2016b,
	title = {A Geometric Approach to Color Image Regularization},
	year = {2016},
	note = {ArXiv, preprint},
	month = {May},
	url = {https://arxiv.org/abs/1605.05977},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@conference {Astroem2016d,
	title = {A Geometric Approach to Image Labeling},
	booktitle = {Proc. ECCV},
	year = {2016},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@article {Kappes2016a,
	title = {Higher-order Segmentation via Multicuts},
	journal = {Comp. Vision Image Understanding},
	volume = {143},
	year = {2016},
	pages = {104{\textendash}119},
	author = {Kappes, J. and Speth, M. and Reinelt, G. and Schn{\"o}rr, C.}
}
@booklet {Astroem2016,
	title = {Image Labeling by Assignment},
	year = {2016},
	note = {ArXiv, preprint},
	month = {March},
	url = {http://arxiv.org/abs/1603.05285},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@article {Censor2016,
	title = {The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising},
	journal = {J. Comp. Math.},
	volume = {34},
	number = {6},
	year = {2016},
	pages = {608-623},
	author = {Censor, Y. and Gibali, A. and Lenzen, F. and Schn{\"o}rr, C.}
}
@article {biller_16_improved,
	title = {Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression},
	journal = {American Journal of Neuroradiology},
	volume = {37 },
	year = {2016},
	pages = {66-73},
	doi = {10.3174/ajnr.A4493},
	author = {A. Biller and Badde, S and Nagel, A and Neumann, JO and Wick, W and Hertenstein, A and M. Bendszus and Sahm, F and Benkhedah, N and Kleesiek, J}
}
@conference {Berger2016a,
	title = {Joint Recursive Monocular Filtering of Camera Motion and Disparity Map},
	booktitle = {38th German Conference on Pattern Recognition},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	address = {Hannover},
	doi = {1606.02092},
	url = {https://arxiv.org/abs/1606.02092},
	author = {Johannes Berger and Christoph Schn{\"o}rr}
}
@conference {Berger2016a,
	title = {Joint Recursive Monocular Filtering of Camera Motion and Disparity Map},
	booktitle = {38th German Conference on Pattern Recognition},
	year = {2016},
	note = {in press},
	author = {Johannes Berger and Christoph Schn{\"o}rr}
}
@article {7468481,
	title = {Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm},
	journal = {IEEE Transactions on Image Processing},
	volume = {25},
	year = {2016},
	pages = {3384 - 3394},
	keywords = {Active contours, Computational modeling, Image segmentation, Manifolds, Shape, Three-dimensional displays, TV},
	issn = {1057-7149},
	doi = {10.1109/TIP.2016.2567068},
	author = {Anca Stefanoiu and Andreas Weinmann and Martin Storath and Nassir Navab and Maximilian Baust}
}
@proceedings {6081,
	title = {Learning Diverse Models: The Coulomb Structured Support Vector Machine},
	volume = {LNCS 9907},
	year = {2016},
	pages = {585-599},
	publisher = {Springer},
	doi = { 10.1007/978-3-319-46487-9_36},
	author = {Schiegg, M. and Ferran Diego and Fred A. Hamprecht}
}
@article {Strouse2016,
	title = {Marijuana{\textquoteright}s Public Health Pros and Cons | For Better | US News},
	journal = {U.S. News and World Report},
	year = {2016},
	abstract = {User-provided object bounding box is a simple and popular interaction paradigm considered by many existing interactive image segmentation frameworks. However, these frameworks tend to exploit the provided bounding box merely to exclude its exterior from consideration and sometimes to initialize the energy minimization. In this paper, we discuss how the bounding box can be further used to impose a powerful topological prior, which prevents the solution from excessive shrinking and ensures that the user-provided box bounds the segmentation in a sufficiently tight way. The prior is expressed using hard constraints incorporated into the global energy minimization framework leading to an NP-hard integer program. We then investigate the possible optimization strategies including linear relaxation as well as a new graph cut algorithm called pinpointing. The latter can be used either as a rounding method for the fractional LP solution, which is provably better than thresholding-based rounding, or as a fast standalone heuristic. We evaluate the proposed algorithms on a publicly available dataset, and demonstrate the practical benefits of the new prior both qualitatively and quantitatively.},
	isbn = {978-1-4244-4420-5},
	doi = {10.1109/ICCV.2009.5459262},
	url = {http://health.usnews.com/health-news/patient-advice/articles/2016-10-12/marijuanas-public-health-pros-and-cons},
	author = {Strouse, Thomas M.D}
}
@article {Kappes2016,
	title = {Multicuts and Perturb \& MAP for Probabilistic Graph Clustering},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {56},
	number = {2},
	year = {2016},
	month = {jan},
	pages = {221{\textendash}237},
	abstract = {We present a probabilistic graphical model formulation for the graph clustering problem. This enables us to locally represent uncertainty of image partitions by approximate marginal distributions in a mathematically substantiated way, and to rectify local data term cues so as to close contours and to obtain valid partitions. We exploit recent progress on globally optimal MAP inference by integer programming and on perturbation-based approximations of the log-partition function, in order to sample clusterings and to estimate marginal distributions of node-pairs both more accurately and more efficiently than state-of-the-art methods. Our approach works for any graphically represented problem instance. This is demonstrated for image segmentation and social network cluster analysis. Our mathematical ansatz should be relevant also for other combinatorial problems.},
	keywords = {Correlation clustering, graphical models, Multicut, Perturb and MAP},
	issn = {15737683},
	doi = {10.1007/s10851-016-0659-3},
	url = {http://arxiv.org/abs/1601.02088},
	author = {Kappes, Jorg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Christoph Schn{\"o}rr}
}
@article {Kappes2016,
	title = {Multicuts and Perturb \& MAP for Probabilistic Graph Clustering},
	journal = {J. Math. Imag. Vision},
	volume = {56},
	number = {2},
	year = {2016},
	pages = {221{\textendash}237},
	author = {Kappes, J.H. and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Schn{\"o}rr, C.}
}
@article {jaehne2016,
	title = {Noise equalisation and quasi loss-less image data compression {\textendash} or how many bits needs an image sensor?},
	journal = {tm {\textendash} Technisches Messen},
	volume = {83},
	year = {2016},
	pages = {16{\textendash}24},
	doi = {10.1515/teme-2015-0093},
	author = {Bernd J{\"a}hne and Martin Schwarzbauer}
}
@article {Zisler2016,
	title = {Non-Binary Discrete Tomography by Continuous Non-Convex Optimization},
	journal = {IEEE Comp. Imaging},
	volume = {2},
	number = {3},
	year = {2016},
	pages = {335-347},
	author = {M. Zisler and Kappes, J.H. and Schn{\"o}rr, Cl. and Petra, S. and Christoph Schn{\"o}rr}
}
@conference {Bodnariuc2016,
	title = {Parametric Dictionary-Based Velocimetry for Echo PIV},
	booktitle = {Proc. CGPR},
	year = {2016},
	author = {Ecaterina Bodnariuc and Petra, S. and Poelma, C. and Schn{\"o}rr, C.}
}
@article {Swoboda2016,
	title = {Partial Optimality by Pruning for MAP-Inference with General Graphical Models},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {38},
	number = {7},
	year = {2016},
	month = {jul},
	pages = {1370{\textendash}1382},
	publisher = {IEEE Computer Society},
	abstract = {We consider the energy minimization problem for undirected graphical models, also known as MAP-inference problem for Markov random fields which is NP-hard in general. We propose a novel polynomial time algorithm to obtain a part of its optimal non-relaxed integral solution. Our algorithm is initialized with variables taking integral values in the solution of a convex relaxation of the MAP-inference problem and iteratively prunes those, which do not satisfy our criterion for partial optimality. We show that our pruning strategy is in a certain sense theoretically optimal. Also empirically our method outperforms previous approaches in terms of the number of persistently labelled variables. The method is very general, as it is applicable to models with arbitrary factors of an arbitrary order and can employ any solver for the considered relaxed problem. Our method{\textquoteright}s runtime is determined by the runtime of the convex relaxation solver for the MAP-inference problem.},
	keywords = {energy minimization, Local polytope, MAP-inference, Markov random fields, partial optimality, persistency},
	issn = {01628828},
	doi = {10.1109/TPAMI.2015.2484327},
	author = {Swoboda, Paul and Shekhovtsov, Alexander and Kappes, Jorg Hendrik and Christoph Schn{\"o}rr and Savchynskyy, Bogdan}
}
@article {Swoboda2016,
	title = {Partial Optimality by Pruning for MAP-Inference with General Graphical Models},
	journal = {IEEE Trans. Patt. Anal. Mach. Intell.},
	volume = {38},
	number = {7},
	year = {2016},
	pages = {1370{\textendash}1382},
	author = {Swoboda, P. and Shekhovtsov, A. and Kappes, J.H. and Schn{\"o}rr, C. and Savchynskyy, B.}
}
@proceedings {6110,
	title = {Plane Wave Acoustic Superposition for Fast Ultrasound Imaging},
	year = {2016},
	author = {Ecaterina Bodnariuc and Martin F. Schiffner and Stefania Petra and Christoph Schn{\"o}rr}
}
@inbook {6055,
	title = {Segmenting and Tracking Multiple Dividing Targets Using ilastik},
	booktitle = {Focus on Bio-Image Informatics},
	series = {Advances in Anatomy, Embryology and Cell Biology},
	volume = {219},
	year = {2016},
	pages = {199-229},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-28549-8_8},
	author = {Haubold, C. and Schiegg, M. and Kreshuk, A. and Stuart Berg and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@mastersthesis {schwarz2016,
	title = {Spatio-Temporal Measurements of Water-Wave Height and Slope using Laser-Induced Fluorescence and Splines},
	year = {2016},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersBachelor{\textquoteright}s thesis},
	doi = {10.11588/heidok.00021977},
	author = {Katja Schwarz}
}
@conference {Sellent2016,
	title = {Stereo video deblurring},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9906 LNCS},
	year = {2016},
	pages = {558{\textendash}575},
	abstract = {Videos acquired in low-light conditions often exhibit motion blur, which depends on the motion of the objects relative to the camera. This is not only visually unpleasing, but can hamper further processing. With this paper we are the first to show how the availability of stereo video can aid the challenging video deblurring task.We leverage 3D scene flow, which can be estimated robustly even under adverse conditions. We go beyond simply determining the object motion in two ways: First, we show how a piecewise rigid 3D scene flow representation allows to induce accurate blur kernels via local homographies. Second, we exploit the estimated motion boundaries of the 3D scene flow to mitigate ringing artifacts using an iterative weighting scheme. Being aware of 3D object motion, our approach can deal robustly with an arbitrary number of independently moving objects. We demonstrate its benefit over state-ofthe- art video deblurring using quantitative and qualitative experiments on rendered scenes and real videos.},
	keywords = {Object motion blur, Scene flow, Spatially-variant deblurring},
	isbn = {9783319464749},
	issn = {16113349},
	doi = {10.1007/978-3-319-46475-6_35},
	author = {Sellent, Anita and Carsten Rother and Roth, Stefan}
}
@techreport {Sellent,
	title = {Stereo Video Deblurring-Supplemental Material},
	year = {2016},
	abstract = {One of the key contributions in our stereo video deblurring is to employ 3D scene flow to induce blur kernels based on homographies. As the difference to inducing blur kernels from an optical flow field may seem subtle but increases deblurring performance considerably, we schematically illustrate the difference of the two ways of generating blur kernels in Fig. 10. (a) 3D motion (b) Image plane projection: Blur kernels from linear displacements (c) Image plane projection: Blur kernels from homographies Fig. 10. Inducing blur matrices: (a) Assume that 3D point P moves with a constant rigid body motion in 3D, e. g. with a yaw motion. The projection of this motion to the image plane (blue) is a circular trajectory. The corresponding 2D ground truth displacement (yellow), however, is a vector in the image plane that connects start and end point of the motion during a time interval. (b) Using optical flow, the blur kernel at a location z is approximated by identifying all pixels that, according to their spatially-variant displacement, pass through z during the time interval. The image content at point x is correctly identified as passing through z. The image content at point y is not identified correctly as its 2D displacement passes z at a distance. Instead, the image content at point{\textasciicircum}ypoint{\textasciicircum} point{\textasciicircum}y is erroneously identified as passing through z, even though{\textasciicircum}ythough{\textasciicircum} though{\textasciicircum}y has a different distance to the rotation center than z. This results in the distorted kernels shown in Fig. 3b. (c) Assuming 3D points in the vicinity of P to form a plane, we employ 3D homographies to generate blur kernels. The blur kernel at location z is thus formed by the image points whose trajectory, according to the homography, passes through z during the time interval. Consequently, y is correctly identified as passing through z, leading to the kernels shaped as circular arcs shown in Fig. 3a},
	author = {Sellent, Anita and Carsten Rother and Roth, Stefan}
}
@booklet {Silvestri2016,
	title = {Symmetry-free SDP Relaxations for Affine Subspace Clustering},
	year = {2016},
	note = {ArXiv, preprint},
	month = {July},
	url = {http://arxiv.org/abs/1607.07387},
	author = {Silvestri, F. and Reinelt, G. and Schn{\"o}rr, C.}
}
@conference {Biesdorf2015,
	title = {3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization},
	booktitle = {Proc.~ISBI},
	year = {2015},
	author = {Biesdorf, A. and W{\"o}rz, S. and von Tengg-Kobligk, H. and Karl Rohr and Christoph Schn{\"o}rr}
}
@conference {Bodnariuc2015,
	title = {Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV},
	booktitle = {Proc.~EMMCVPR},
	volume = {8932},
	year = {2015},
	pages = {378--391},
	publisher = {Springer},
	organization = {Springer},
	author = {Ecaterina Bodnariuc and Gurung, A. and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {5977,
	title = {Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV},
	booktitle = {EMMCVPR},
	year = {2015},
	author = {Ecaterina Bodnariuc and Gurung, A. and Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Gianniotis2015,
	title = {Approximate variational inference based on a finite sample of Gaussian latent variables},
	journal = {Patt.~Anal.~Appl.},
	year = {2015},
	doi = {10.1007/s10044-015-0496-9},
	author = {Gianniotis, N. and Christoph Schn{\"o}rr and Molkenthin, C. and Bora, S.S.}
}
@article {kappes_15_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	year = {2015},
	note = {1},
	pages = {1-30},
	doi = {10.1007/s11263-015-0809-x},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {Kappes2015,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {Int.~J.~Comp.~Vision},
	year = {2015},
	note = {in press (preprint: arXiv:1404.0533)},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {Kappes2015,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	url = {http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Kappes2015a,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	isbn = {25164671.25},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Kappes2015b,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Rathke2015,
	title = {A Computational Approach to Log-Concave Density Estimation},
	journal = {An. St. Univ. Ovidius Constanta},
	volume = {23},
	number = {3},
	year = {2015},
	pages = {151-166},
	author = {Rathke, F. and Christoph Schn{\"o}rr}
}
@article {rathke2015b,
	title = {A Computational Approach to Log-Concave Density Estimation},
	journal = {An. St. Univ. Ovidius Constanta},
	volume = {23},
	year = {2015},
	pages = {151-166},
	author = {Rathke, Fabian and Christoph Schn{\"o}rr}
}
@conference {Silvestri2015,
	title = {A Convex Relaxation Approach to the Affine Subspace Clustering Problem},
	booktitle = {Proc.~GCPR},
	year = {2015},
	author = {Silvestri, F. and Reinelt, G. and Christoph Schn{\"o}rr}
}
@conference {Neufeld-et-al-2015a,
	title = {Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework},
	booktitle = {37th German Conference on Pattern Recognition},
	year = {2015},
	note = {in press},
	author = {Neufeld, Andreas and Johannes Berger and Florian Becker and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@article {Schmitzer2015,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	journal = {J.~Math.~Imag.~Vision},
	volume = {52},
	number = {3},
	year = {2015},
	pages = {436--458},
	url = {http://link.springer.com/article/10.1007/s10851-014-0546-8},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {Schmitzer2015,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	journal = {J. Math. Imag. Vision},
	volume = {52},
	number = {3},
	year = {2015},
	pages = {436{\textendash}458},
	url = {http://link.springer.com/article/10.1007/s10851-014-0546-8},
	author = {Schmitzer, B. and Schn{\"o}rr, C.}
}
@conference {Alhaija2015,
	title = {Graphflow{\textemdash}6D large displacement scene flow via graph matching},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9358},
	year = {2015},
	pages = {285{\textendash}296},
	abstract = {We present an approach for computing dense scene flow from two large displacement RGB-D images. When dealing with large displacements the crucial step is to estimate the overall motion correctly. While state-of-the-art approaches focus on RGB information to establish guiding correspondences, we explore the power of depth edges. To achieve this, we present a new graph matching technique that brings sparse depth edges into correspondence. An additional contribution is the formulation of a continuous-label energy which is used to densify the sparse graph matching output. We present results on challenging Kinect images, for which we outperform state-of-the-art techniques.},
	isbn = {9783319249469},
	issn = {16113349},
	doi = {10.1007/978-3-319-24947-6_23},
	author = {Hassan Abu Alhaija and Sellent, Anita and Kondermann, Daniel and Carsten Rother}
}
@article {schiegg_15_graphical,
	title = {Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell},
	journal = {Bioinformatics},
	volume = {31},
	number = {6},
	year = {2015},
	note = {1},
	pages = {948-956},
	doi = {10.1093/bioinformatics/btu764},
	url = {http://bioinformatics.oxfordjournals.org/content/early/2014/11/17/bioinformatics.btu764.full.pdf?keytype=ref\&ijkey=mTXWsiFrci7R8tc},
	author = {Schiegg, M. and Hanslovsky, P. and Haubold, C. and Ullrich K{\"o}the and Hufnagel, L. and Fred A. Hamprecht}
}
@conference {Kirillov2015a,
	title = {Inferring M-best diverse labelings in a single one},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2015 Inter},
	year = {2015},
	pages = {1814{\textendash}1822},
	abstract = {We consider the task of finding M-best diverse solutions in a graphical model. In a previous work by Batra et al. an algorithmic approach for finding such solutions was proposed, and its usefulness was shown in numerous applications. Contrary to previous work we propose a novel formulation of the problem in form of a single energy minimization problem in a specially constructed graphical model. We show that the method of Batra et al. can be considered as a greedy approximate algorithm for our model, whereas we introduce an efficient specialized optimization technique for it, based on alpha-expansion. We evaluate our method on two application scenarios, interactive and semantic image segmentation, with binary and multiple labels. In both cases we achieve considerably better error rates than state-of-the art diversity methods. Furthermore, we empirically discover that in the binary label case we were able to reach global optimality for all test instances.},
	isbn = {9781467383912},
	issn = {15505499},
	doi = {10.1109/ICCV.2015.211},
	author = {Kirillov, Alexander and Savchynskyy, Bogdan and Schlesinger, Dmitrij and Vetrov, Dmitry and Carsten Rother}
}
@conference {Schelten2015,
	title = {Interleaved regression tree field cascades for blind image deconvolution},
	booktitle = {Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015},
	year = {2015},
	pages = {494{\textendash}501},
	abstract = {Image blur from camera shake is a common cause for poor image quality in digital photography, prompting a significant recent interest in image deblurring. The vast majority of work on blind deblurring splits the problem into two subsequent steps: First, the blur process (i.e., blur kernel) is estimated, then the image is restored given the estimated kernel using a non-blind deblurring algorithm. Recent work in non-blind deblurring has shown that discriminative approaches can have clear image quality and runtime benefits over typical generative formulations. In this paper, we propose a cascade for blind deblurring that alternates between kernel estimation and discriminative deblurring using regression tree fields (RTFs). We further contribute a new dataset of realistic image blur kernels from human camera shake, which we use to train the discriminative component. Extensive qualitative and quantitative experiments show a clear gain in image quality by interleaving kernel estimation and discriminative deblurring in an iterative cascade.},
	isbn = {9781479966820},
	doi = {10.1109/WACV.2015.72},
	author = {Schelten, Kevin and Nowozin, Sebastian and Jancsary, Jeremy and Carsten Rother and Roth, Stefan}
}
@inbook {Krolla-etal-2015-LF4CV,
	title = {Light Field from Smartphone-Based Dual Video},
	booktitle = {Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II},
	year = {2015},
	pages = {600{\textendash}610},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-16181-5},
	doi = {10.1007/978-3-319-16181-5_46},
	url = {http://dx.doi.org/10.1007/978-3-319-16181-5_46},
	author = {Bernd Krolla and Maximilian Diebold and Didier Stricker}
}
@conference {diebold2015,
	title = {Light-field camera design for high-accuracy depth estimation},
	booktitle = {Videometrics, Range Imaging, and Applications XIII},
	year = {2015},
	publisher = {SPIE},
	organization = {SPIE},
	doi = {10.1117/12.2184845},
	author = {M. Diebold and O. Blum and M. Gutsche and S. Wanner and C. Garbe and H. Baker and B. J{\"a}hne},
	editor = {Fabio Remondino and Mark R. Shortis}
}
@conference {Kirillov2015,
	title = {M-best-diverse labelings for submodular energies and beyond},
	booktitle = {Advances in Neural Information Processing Systems},
	volume = {2015-Janua},
	year = {2015},
	pages = {613{\textendash}621},
	abstract = {We consider the problem of findingM best diverse solutions of energy minimization problems for graphical models. Contrary to the sequential method of Batra et al., which greedily finds one solution after another, we infer all M solutions jointly. It was shown recently that such jointly inferred labelings not only have smaller total energy but also qualitatively outperform the sequentially obtained ones. The only obstacle for using this new technique is the complexity of the corresponding inference problem, since it is considerably slower algorithm than the method of Batra et al. In this work we show that the joint inference of M best diverse solutions can be formulated as a submodular energy minimization if the original MAP-inference problem is submodular, hence fast inference techniques can be used. In addition to the theoretical results we provide practical algorithms that outperform the current state-of-the-art and can be used in both submodular and non-submodular case.},
	issn = {10495258},
	author = {Kirillov, Alexander and Schlesinger, Dmitrij and Vetrov, Dmitry and Carsten Rother and Savchynskyy, Bogdan}
}
@phdthesis {schiegg_2015_multi-target,
	title = {Multi-Target Tracking with Probabilistic Graphical Models},
	year = {2015},
	publisher = {University of Heidelberg},
	author = {Schiegg, M.}
}
@phdthesis {stapf2015,
	title = {Novel learning-based techniques for dense fluid motion measurements},
	year = {2015},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/18116},
	author = {Julian Stapf}
}
@conference {Zheng2015,
	title = {Object proposals estimation in depth image using compact 3D shape manifolds},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9358},
	year = {2015},
	pages = {196{\textendash}208},
	abstract = {Man-made objects, such as chairs, often have very large shape variations, making it challenging to detect them. In this work we investigate the task of finding particular object shapes from a single depth image. We tackle this task by exploiting the inherently low dimensionality in the object shape variations, which we discover and encode as a compact shape space. Starting from any collection of 3D models, we first train a low dimensional Gaussian Process Latent Variable Shape Space. We then sample this space, effectively producing infinite amounts of shape variations, which are used for training. Additionally, to support fast and accurate inference, we improve the standard 3D object category proposal generation pipeline by applying a shallow convolutional neural network-based filtering stage. This combination leads to considerable improvements for proposal generation, in both speed and accuracy. We compare our full system to previous state-of-the-art approaches, on four different shape classes, and show a clear improvement.},
	isbn = {9783319249469},
	issn = {16113349},
	doi = {10.1007/978-3-319-24947-6_16},
	author = {Zheng, Shuai and Prisacariu, Victor Adrian and Averkiou, Melinos and Cheng, Ming Ming and Mitra, Niloy J and Shotton, Jamie and Torr, Philip H.S. and Carsten Rother}
}
@article {Mitra2015,
	title = {Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut},
	volume = {34},
	number = {7},
	year = {2015},
	abstract = {Figure-ground segmentation from bounding box input, provided either automatically or manually, has been ex-tremely popular in the last decade and influenced various applications. A lot of research has focused on high-quality segmentation, using complex formulations which often lead to slow techniques, and often hamper practi-cal usage. In this paper we demonstrate a very fast segmentation technique which still achieves very high quality results. We propose to replace the time consuming iterative refinement of global colour models in traditional GrabCut formulation by a densely connected CRF. To motivate this decision, we show that a dense CRF implicitly models unnormalized global colour models for foreground and background. Such relationship provides insightful analysis to bridge between dense CRF and GrabCut functional. We extensively evaluate our algorithm using two famous benchmarks. Our experimental results demonstrated that the proposed algorithm achieves an order of magnitude (10{\texttimes}) speed-up with respect to the closest competitor, and at the same time achieves a considerably higher accuracy.},
	keywords = {I46 [IMAGE PROCESSING AND COMPUTER VISION], partitioning, Segmentation{\textemdash}Region growing},
	url = {http://mftp.mmcheng.net/Papers/DenseCut.pdf},
	author = {Mitra, N J and Stam, J and Xu, K and Cheng, Ming-Ming and Prisacariu, Victor Adrian and Zheng, Shuai and Torr, Philip H S and Carsten Rother}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc.~SSVM},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg H. Kappes and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Christoph Schn{\"o}rr}
}
@conference {Kappes2015c,
	title = {Probabilistic correlation clustering and image partitioning using perturbed Multicuts},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9087},
	year = {2015},
	pages = {231{\textendash}242},
	abstract = {We exploit recent progress on globally optimal MAP inference by integer programming and perturbation-based approximations of the log-partition function. This enables to locally represent uncertainty of image partitions by approximate marginal distributions in a mathematically substantiated way, and to rectify local data term cues so as to close contours and to obtain valid partitions. Our approach works for any graphically represented problem instance of correlation clustering, which is demonstrated by an additional social network example.},
	keywords = {Correlation clustering, Multicut, Perturb and MAP},
	isbn = {9783319184609},
	issn = {16113349},
	doi = {10.1007/978-3-319-18461-6_19},
	author = {Kappes, Jorg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Christoph Schn{\"o}rr}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {Kappes, J. and Swoboda, P. and Savchynskyy, B. and Hazan , T. and Schn{\"o}rr, C.}
}
@conference {schiegg_15_proof-reading,
	title = {Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models},
	booktitle = {ISBI. Proceedings},
	year = {2015},
	note = {1},
	pages = {394-398},
	doi = {10.1109/ISBI.2015.7163895},
	author = {Schiegg, M. and Heuer, B. and Haubold, C. and Wolf, S. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Berger-et-al-2015a,
	title = {Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2015)},
	year = {2015},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {Accurate camera motion estimation is a fundamental build- ing block for many Computer Vision algorithms. For improved robustness, temporal consistency of translational and rotational camera velocity is often assumed by propagating motion information forward using stochastic filters. Classical stochastic filters, however, use linear approximations for the non-linear observer model and for the non-linear structure of the underlying Lie Group SE(3) and have to approximate the unknown posteriori distribution. In this paper we employ a non-linear measurement model for the camera motion estimation problem that incorporates multiple observation equations. We solve the underlying filtering problem using a novel Minimum Energy Filter on SE(3) and give explicit expressions for the optimal state variables. Experiments on the challenging KITTI benchmark show that, although a simple motion model is only employed, our approach improves rotational velocity esti- mation and otherwise is on par with the state-of-the-art.},
	doi = {10.1007/978-3-319-18461-6_32},
	url = {http://dx.doi.org/10.1007/978-3-319-18461-6_32},
	author = {Johannes Berger and Andreas Neufeld and Florian Becker and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {Berger-et-al-2015a,
	title = {Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2015)},
	year = {2015},
	author = {Johannes Berger and Neufeld, Andreas and Florian Becker and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@booklet {Berger-et-al-2015b,
	title = {Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations},
	year = {2015},
	abstract = {Camera motion estimation from observed scene features is an important task in image processing to increase the accuracy of many methods, e.g. optical flow and structure-from-motion. Due to the curved geometry of the state space SE(3) and the non-linear relation to the observed optical flow, many recent filtering approaches use a first-order approximation and assume a Gaussian a posteriori distribution or restrict the state to Euclidean geometry. The physical model is usually also limited to uniform motions. 
We propose a second-order minimum energy filter with a generalized kinematic model that copes with the full geometry of SE(3) as well as with the nonlinear dependencies between the state space and observations. The derived filter enables reconstructing motions correctly for synthetic and real scenes, e.g. from the KITTI benchmark. Our experiments confirm that the derived minimum energy filter with higher-order state differential equation copes with higher-order kinematics and is also able to minimize model noise. We also show that the proposed filter is superior to state-of-the-art extended Kalman filters on Lie groups in the case of linear observations and that our method reaches the accuracy of modern visual odometry methods.},
	keywords = {Constant Acceleration Model, Lie Group, Minimum Energy Filter, Optimal Control, Recursive Filtering, Visual Odometry},
	url = {http://arxiv.org/abs/1507.06810},
	author = {Johannes Berger and Frank Lenzen and Florian Becker and Andreas Neufeld and Christoph Schn{\"o}rr}
}
@booklet {Berger-et-al-2015b,
	title = {Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations},
	year = {2015},
	note = {ArXiv, preprint},
	url = {http://arxiv.org/abs/1507.06810},
	author = {Johannes Berger and Lenzen, Frank and Florian Becker and Neufeld, Andreas and Christoph Schn{\"o}rr}
}
@article {Didden2014,
	title = {Shape from Texture using Locally Scaled Point Processes},
	journal = {Image Anal. Stereol.},
	volume = {34},
	number = {3},
	year = {2015},
	pages = {161-170},
	author = {Didden, E.-M. and Thorarinsdottir, T.L. and Lenkoski, A. and Schn{\"o}rr, C.}
}
@conference {antic:MICCAI:2015,
	title = {Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {Antic, B. and Uta B{\"u}chler and Anna-Sophia Wahl and M. E. Schwab and Bj{\"o}rn Ommer}
}
@article {cali_15_three-dimensional,
	title = {Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues},
	journal = {Journal of Comparative Neurology},
	volume = {524},
	year = {2015},
	pages = {23-38},
	doi = {10.1002/cne.23852},
	author = {Cali, C. and Baghabra, J. and Boges, D. J. and Holst, G. R. and Anna Kreshuk and Fred A. Hamprecht and Srinivasan, M. and Lehv{\"a}slaiho, H. and Magistretti, P. J.}
}
@conference {Kappes2015b,
	title = {TomoGC: Binary Tomography by Constrained Graph Cuts},
	booktitle = {Proc.~GCPR},
	year = {2015},
	author = {J{\"o}rg H. Kappes and Stefania Petra and Christoph Schn{\"o}rr and M. Zisler}
}
@conference {Kappes2015b,
	title = {TomoGC: Binary Tomography by Constrained Graph Cuts},
	booktitle = {Proc. GCPR},
	year = {2015},
	author = {Kappes, J.H. and Petra, S. and Schn{\"o}rr, C. and M. Zisler}
}
@article {kauppi_15_towards,
	title = {Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals},
	journal = {NeuroImage},
	volume = {112},
	year = {2015},
	note = {1},
	pages = {288-298},
	doi = {10.1016/j.neuroimage.2014.12.079},
	author = {Kauppi, J .P. and Kandemir, M. and Saarinen, V .M. and Hirvenkari, L. and Parkkonen, L. and Klami, A. and Hari, R. and Kaski, S.}
}
@article {kiefhaber2015b,
	title = {Water wave measurement from stereo images of specular reflections},
	volume = {26},
	year = {2015},
	pages = {115401},
	abstract = {A new optical instrument for the study of ocean waves, the Reflective Stereo Slope Gauge, has been developed. Its purpose is to measure ocean wave field parameters that are crucial to the air-sea exchange of momentum, heat and gases. The instrument combines a statistical wave slope measurement method similar to Cox and Munk{\textquoteright}s sun glitter technique with a dedicated stereo camera and associated illumination setup for direct wave height measurements. The instrument output was validated under controlled conditions in a wind-wave facility.},
	doi = {10.1088/0957-0233/26/11/115401},
	author = {Daniel Kiefhaber and Guillemette Caulliez and Christopher J Zappa and Julia Schaper and Bernd J{\"a}hne}
}
@article {lou_14_active,
	title = {Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {33 (4)},
	year = {2014},
	pages = {849-860},
	doi = {10.1109/TMI.2013.2296937},
	author = {Lou, X. and Schiegg, M. and Fred A. Hamprecht}
}
@conference {krall2014a,
	title = {Air-sea gas exchange under nature-like surfactant influence in the lab},
	booktitle = {7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014},
	year = {2014},
	doi = {10.5281/zenodo.10900},
	author = {Kerstin Ellen Krall and Klaus Schneider-Zapf and Svenja Reith and Daniel Kiefhaber and Bernd J{\"a}hne}
}
@conference {guessefeld2014,
	title = {Are reflectance field renderings appropriate for optical flow evaluation?},
	booktitle = {International Conference on Image Processing, ICIP 2014},
	year = {2014},
	author = {G{\"u}ssefeld, Burkhard and Daniel Kondermann and Schwartz, Christopher and Klein, Reinhard}
}
@article {Wahl:Science:2014,
	title = {Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke},
	journal = {Science},
	volume = {344},
	number = {6189},
	year = {2014},
	pages = {1250--1255},
	publisher = {American Association for The Advancement of Science},
	url = {http://www.sciencemag.org/content/344/6189/1250},
	author = {Anna-Sophia Wahl and Omlor, W. and Rubio, J. C. and Chen, J. L. and Zheng, H. and Schr{\"o}ter, A. and Gullo, M. and Weinmann, O. and Kobayashi, K. and F. Helmchen and Bj{\"o}rn Ommer and M. E. Schwab}
}
@article {Petra2014,
	title = {Average Case Recovery Analysis of Tomographic Compressive Sensing},
	journal = {Linear Algebra and its Applications},
	volume = {441},
	year = {2014},
	note = {Special issue on Sparse Approximate Solution of Linear Systems},
	pages = {168-198},
	author = {Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {maierhein2014,
	title = {Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images},
	booktitle = {MICCAI},
	year = {2014},
	author = {Lena Maier-Hein and Sven Mersmann and Daniel Kondermann and Bodenstedt, S. and Sanchez, A. and C. Stock and Kenngott, H. and Eisenmann, M. and Speidel, S.}
}
@article {kappes_14_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured
Discrete Energy Minimization Problems},
	journal = {CoRR},
	year = {2014},
	note = {1},
	url = {http://arxiv.org/abs/1404.0533},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {kappes-1014-bench-arxiv,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {CoRR},
	volume = {abs/1404.0533},
	year = {2014},
	url = {http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@conference {maierhein2014a,
	title = {Crowdsourcing for reference correspondence generation in endoscopic images},
	booktitle = {MICCAI},
	year = {2014},
	author = {Lena Maier-Hein and Sven Mersmann and Daniel Kondermann and C. Stock and Kenngott, H. and Sanchez, A. and Wagner, M. and Preukschas, A. and Wekerle, A. -L. and Helfert, S. and Bodenstedt, S. and Speidel, S.}
}
@conference {Zheng2014,
	title = {Dense semantic image segmentation with objects and attributes},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2014},
	pages = {3214{\textendash}3221},
	abstract = {The concepts of objects and attributes are both important for describing images precisely, since verbal descriptions often contain both adjectives and nouns (e.g. {\textquoteright}I see a shiny red chair{\textquoteright}). In this paper, we formulate the problem of joint visual attribute and object class image segmentation as a dense multi-labelling problem, where each pixel in an image can be associated with both an object-class and a set of visual attributes labels. In order to learn the label correlations, we adopt a boosting-based piecewise training approach with respect to the visual appearance and co-occurrence cues. We use a filtering-based mean-field approximation approach for efficient joint inference. Further, we develop a hierarchical model to incorporate region-level object and attribute information. Experiments on the aPASCAL, CORE and attribute augmented NYU indoor scenes datasets show that the proposed approach is able to achieve state-of-the-art results.},
	keywords = {Attributes, Image segmentation, Object recognition, Scene Understanding},
	isbn = {9781479951178},
	issn = {10636919},
	doi = {10.1109/CVPR.2014.411},
	url = {http://www.robots.ox.ac.uk/\~{}tvg/http://tu-dresden.de/inf/cvld},
	author = {Zheng, Shuai and Cheng, Ming Ming and Warrell, Jonathan and Sturgess, Paul and Vineet, Vibhav and Carsten Rother and Torr, Philip H.S.}
}
@article {Eyjolfsdottir2014,
	title = {Detection of social actions in fruit flies},
	journal = {Lecture Notes in Computer Science},
	volume = {8690},
	number = {September 2014},
	year = {2014},
	pages = {772{\textendash}787},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {Spatio-temporal detection of actions and events in video is a challenging problem. Besides the difficulties related to recognition, a major challenge for detection in video is the size of the search space defined by spatio-temporal tubes formed by sequences of bounding boxes along the frames. Recently methods that generate unsupervised detection proposals have proven to be very effective for object detection in still images. These methods open the possibility to use strong but computationally expensive features since only a relatively small number of detection hypotheses need to be assessed. In this paper we make two contributions towards exploiting detection proposals for spatio-temporal detection problems. First, we extend a recent 2D object proposal method, to produce spatio-temporal proposals by a randomized supervoxel merging process. We introduce spatial, temporal, and spatio-temporal pairwise supervoxel features that are used to guide the merging process. Second, we propose a new efficient supervoxel method. We experimentally evaluate our detection proposals, in combination with our new supervoxel method as well as existing ones. This evaluation shows that our supervoxels lead to more accurate proposals when compared to using existing state-of-the-art supervoxel methods.},
	isbn = {978-3-319-10604-5},
	issn = {16113349},
	doi = {10.1007/978-3-319-10605-2},
	url = {http://link.springer.com/10.1007/978-3-319-10605-2 http://www.ncbi.nlm.nih.gov/pubmed/31629782},
	author = {Eyjolfsdottir, Eyrun and Branson, Steve and Burgos-Artizzu, Xavier P. and Hoopfer, Eric D. and Schor, Jonathan and Anderson, David J. and Perona, Pietro},
	editor = {Fleet, David and Pajdla, Tomas and Schiele, Bernt and Tuytelaars, Tinne}
}
@conference {Denitiu2014,
	title = {An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography},
	booktitle = {Discrete Geometry for Computer Imagery (DGCI) 2014},
	year = {2014},
	pages = {262--274},
	publisher = {Springer},
	organization = {Springer},
	author = {Andreea Denitiu and Stefania Petra and Schn{\"o}rr, Claudius and Christoph Schn{\"o}rr},
	editor = {Elena Barcucci and Frosini, Andrea and Eds Rinaldi, Simone}
}
@conference {Denitiu2014,
	title = {An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography},
	booktitle = {Discrete Geometry for Computer Imagery (DGCI) 2014},
	series = {LNCS},
	year = {2014},
	pages = {262{\textendash}274},
	publisher = {Springer},
	organization = {Springer},
	author = {Andreea Denitiu and Petra, Stefania and Schn{\"o}rr, Claudius and Christoph Schn{\"o}rr},
	editor = {Elena Barcucci and Frosini,Andrea and Eds Rinaldi,Simone}
}
@conference {kandemir:MICCAI:2014,
	title = {Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention},
	year = {2014},
	pages = {154--161},
	publisher = {Springer},
	organization = {Springer},
	author = {Kandemir, M and Rubio, J. C. and Schmidt, U. and Wojek, C. and Welbl, J. and Bj{\"o}rn Ommer and Fred A. Hamprecht}
}
@conference {kandemir_14_event,
	title = {Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures},
	booktitle = {MICCAI. Proceedings},
	number = {8674},
	year = {2014},
	note = {1},
	pages = {154-161},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-10470-6_20},
	author = {Kandemir, M. and Rubio, J. C. and Schmidt, U. and Welbl, J. and Bj{\"o}rn Ommer and Fred A. Hamprecht}
}
@conference {esparza2014b,
	title = {Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view},
	booktitle = {Intelligent Vehicles Symposium Proceedings},
	year = {2014},
	pages = {1276--1281},
	doi = {10.1109/IVS.2014.6856403},
	author = {Knorr, M. and Esparza, J. and Niehsen, W. and Stiller, C.}
}
@booklet {SchmitzerSchnoerr-WassersteinModes2014,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	year = {2014},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@booklet {SchmitzerSchnoerr-WassersteinModes2014,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	year = {2014},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {lindner_14_hexicon,
	title = {Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation},
	journal = {Journal of The American Society for Mass Spectrometry},
	volume = {25},
	year = {2014},
	note = {1},
	pages = {1018-1028},
	doi = {10.1007/s13361-014-0850-y},
	author = {Lindner, R. and Lou, X. and Reinstein, J. and Shoeman, R. L. and Fred A. Hamprecht and Winkler, A.}
}
@phdthesis {straehle_14_interactive,
	title = {Interactive Segmentation, Uncertainty and Learning},
	year = {2014},
	publisher = {University of Heidelberg},
	author = {Christoph N. Straehle}
}
@conference {kappes_14_map,
	title = {MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves},
	booktitle = {Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {II}},
	year = {2014},
	doi = {10.1007/978-3-319-16181-5_37},
	url = {http://dx.doi.org/10.1007/978-3-319-16181-5_37},
	author = {J{\"o}rg H. Kappes and Thorsten Beier and Christoph Schn{\"o}rr}
}
@conference {Kappes-2014,
	title = {MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves},
	booktitle = {International Workshop on Graphical Models in Computer Vision},
	year = {2014},
	author = {Kappes, Jorg Hendrik and Thorsten Beier and Christoph Schn{\"o}rr}
}
@article {Schaefer2014,
	title = {Model based scattering correction in time-of-flight cameras},
	journal = {Optics Express},
	volume = {22},
	year = {2014},
	pages = {29835-29846},
	author = {Sch{\"a}fer, Henrik and Lenzen, Frank and Garbe, Christoph S.}
}
@conference {straehle_14_multiple,
	title = {Multiple instance learning with response-optimized random forests},
	booktitle = {ICPR. Proceedings},
	year = {2014},
	note = {1},
	pages = {3768 - 3773},
	doi = {10.1109/ICPR.2014.647},
	author = {Christoph N. Straehle and Kandemir, M. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@incollection {Becker2014,
	title = {Optical Flow},
	year = {2014},
	note = {in press},
	publisher = {Springer},
	edition = {2nd},
	author = {Florian Becker and Petra, Stefania and Christoph Schn{\"o}rr},
	editor = {Scherzer, O.}
}
@article {swoboda_14_partial,
	title = {Partial Optimality by Pruning for MAP-inference with General GraphicalModels},
	year = {2014},
	pages = {1170-1177},
	doi = {10.1109/CVPR.2014.153},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Swoboda-2014,
	title = {Partial Optimality by Pruning for MAP-inference with General Graphical Models},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition 2014},
	year = {2014},
	author = {Swoboda, Paul and Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Swoboda-2014,
	title = {Partial Optimality by Pruning for MAP-inference with General Graphical Models},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition 2014},
	year = {2014},
	author = {Swoboda, Paul and Savchynskyy, Bogdan and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@article {Denitiu2014a,
	title = {Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections},
	journal = {Fundamenta Informaticae},
	volume = {135},
	year = {2014},
	pages = {73--102},
	author = {Andreea Denitiu and Stefania Petra and Schn{\"o}rr, Cl. and Christoph Schn{\"o}rr}
}
@article {Denitiu2014a,
	title = {Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections},
	journal = {Fundamenta Informaticae},
	volume = {135},
	year = {2014},
	pages = {73{\textendash}102},
	author = {Andreea Denitiu and Petra, S. and Schn{\"o}rr, Cl. and Christoph Schn{\"o}rr}
}
@article {rathke2014,
	title = {Probabilistic Intra-Retinal Layer Segmentation in 3-{D} {OCT} Images Using Global Shape Regularization},
	journal = {Med. Image Anal.},
	volume = {18},
	year = {2014},
	pages = {781{\textendash}794},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@article {Rathke2014,
	title = {Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization},
	journal = {Medical Image Analysis},
	volume = {18},
	number = {5},
	year = {2014},
	pages = {781-794},
	author = {Rathke, F. and Schmidt, S. and Christoph Schn{\"o}rr}
}
@article {Rathke2014,
	title = {Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization},
	journal = {Medical Image Analysis},
	volume = {18},
	number = {5},
	year = {2014},
	pages = {781-794},
	author = {Rathke, F. and Schmidt, S. and Schn{\"o}rr, C.}
}
@article {Lenzen-et-al-14,
	title = {Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets},
	journal = {SIAM J.~Imag.~Sci.},
	volume = {7},
	number = {4},
	year = {2014},
	pages = {2139--2174},
	author = {Frank Lenzen and Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@article {Lenzen-et-al-14,
	title = {Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets},
	journal = {SIAM J. Imag. Sci.},
	volume = {7},
	number = {4},
	year = {2014},
	pages = {2139{\textendash}2174},
	author = {Lenzen, F. and Lellmann, J. and Florian Becker and Schn{\"o}rr, C.}
}
@article {lenzen_14_solving,
	title = {Solving QVIs for Image Restoration with Adaptive Constraint Sets},
	journal = {SIAM Journal on Imaging Sciences (SIIMS), in press},
	year = {2014},
	note = {1},
	author = {Frank Lenzen and Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@conference {krolla-etall-2014-BMVC,
	title = {Spherical Light Fields},
	booktitle = {Proceedings of the British Machine Vision Conference},
	year = {2014},
	publisher = {BMVA Press},
	organization = {BMVA Press},
	abstract = {A full view spherical camera exploits its extended field of view to map the complete environment onto a 2D image plane. Thus, with a single shot, it delivers a lot more information about the surroundings than one can gather with a normal perspective or plenoptic camera, which are commonly used in light field imaging. However, in contrast to a light field camera, a spherical camera does not capture directional information about the incident light, and thus a single shot from a spherical camera is not sufficient to reconstruct 3D scene geometry. In this paper, we introduce a method combining spherical imaging with the light field approach. To obtain 3D information with a spherical camera, we capture several independent spherical images by applying a constant vertical offset between the camera positions and combine the images in a Spherical Light Field (SLF). We can then compute disparity maps by structure tensor orientation analysis on epipolar plane images, which in this context are 2D cuts through the spherical light field with constant azimuth angle. This method competes with the acquisition range of laser scanners and allows for a fast and extensive recording of a given scene. We benchmark our approach by comparing disparity maps of ray-traced scenes against its ground truth. Further we provide disparity maps of real world datasets. },
	author = {Bernd Krolla and Maximilian Diebold and Bastian Goldl{\"u}cke and Didier Stricker}
}
@conference {fiaschi_14_tracking,
	title = {Tracking indistinguishable translucent objects over time using weakly supervised structured learning},
	booktitle = {CVPR. Proceedings},
	year = {2014},
	note = {1},
	pages = {2736 - 2743},
	doi = {10.1109/CVPR.2014.356},
	author = {Fiaschi, L. and Ferran Diego and Karl-Heinz Grosser and Schiegg, M. and Ullrich K{\"o}the and Zlatic, M. and Fred A. Hamprecht}
}
@conference {lenor2014,
	title = {Tracking-based visibility estimation},
	booktitle = {Pattern Recognition, 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014},
	volume = {8753},
	year = {2014},
	pages = {365--376},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-11752-2_29},
	author = {Lenor, Stephan and Martini, Johannes and Bernd J{\"a}hne and Stopper, Ulrich and Weber, Stefan and Ohr, Florian},
	editor = {Jiang, Xiaoyi and Joachim Hornegger and Reinhard Koch}
}
@conference {Sindeev2013,
	title = {Alpha-flow for video matting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7726 LNCS},
	number = {PART 3},
	year = {2013},
	pages = {438{\textendash}452},
	abstract = {This work addresses the problem of video matting, that is extracting the opacity-layer of a foreground object from a video sequence. We introduce the notion of alpha-flow which corresponds to the flow in the opacity layer. The idea is derived from the process of rotoscoping, where a user-supplied object mask is smoothly interpolated between keyframes while preserving its correspondence with the underlying image. Our key contribution is an algorithm which infers both the opacity masks and the alpha-flow in an efficient and unified manner. We embed our algorithm in an interactive video matting system where the first and last frame of a sequence are given as keyframes, and additional user strokes may be provided in intermediate frames. We show high quality results on various challenging sequences, and give a detailed comparison to competing techniques. {\textcopyright} 2013 Springer-Verlag.},
	isbn = {9783642374302},
	issn = {03029743},
	doi = {10.1007/978-3-642-37431-9_34},
	author = {Sindeev, Mikhail and Konushin, Anton and Carsten Rother}
}
@article {mikut_13_automated,
	title = {Automated Processing of Zebrafish Imaging Data: A Survey},
	journal = {Zebrafish},
	volume = {10 (3)},
	year = {2013},
	doi = {10.1089/zeb.2013.0886},
	author = {Mikut, R. and Dickmeis, T. and Driever, W. and Geurts, P. and Fred A. Hamprecht and Bernhard X. Kausler and Ledesma-Carbayo, M. and Marée, R. and Mikula, K. and Pantazis, P. and Ronneberger, O. and Santos, A. and Stotzka, R.}
}
@conference {petra_13_bsmart,
	title = {B-SMART: Bregman-Based First-Order Algorithms for Non-Negative
Compressed Sensing Problems},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM},
	year = {2013},
	note = {1},
	pages = {110-124},
	doi = {10.1007/978-3-642-38267-3_10},
	author = {Stefania Petra and Christoph Schn{\"o}rr and Florian Becker and Frank Lenzen}
}
@conference {Petra-2013-bsmart,
	title = {B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013},
	volume = {7893},
	year = {2013},
	pages = {110-124},
	publisher = {Springer},
	organization = {Springer},
	author = {Stefania Petra and Christoph Schn{\"o}rr and Florian Becker and Frank Lenzen}
}
@article {mersmann2013,
	title = {Calibration of time-of-flight cameras for accurate intraoperative surface reconstruction},
	journal = {Med. Phys.},
	volume = {40},
	year = {2013},
	pages = {082701},
	doi = {10.1118/1.4812889},
	author = {Sven Mersmann and Alexander Seitel and Michael Erz and Bernd J{\"a}hne and Nickel, Felix and Mieth, Markus and Mehrabi, Arianeb and Lena Maier-Hein}
}
@article {lenzen_13_class,
	title = {A Class of Quasi-Variational Inequalities for Adaptive Image Denoising
and Decomposition},
	journal = {Computational Optimization and Applications (COAP)},
	volume = {54 (2)},
	year = {2013},
	note = {1},
	pages = {371-398},
	doi = {10.1007/s10589-012-9456-0},
	author = {Frank Lenzen and Florian Becker and Lellmann, J. and Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Lenzen-et-al-13,
	title = {A class of quasi-variational inequalities for adaptive image denoising and decomposition},
	journal = {Computational Optimization and Applications},
	volume = {54},
	number = {2},
	year = {2013},
	pages = {371-398},
	publisher = {Springer Netherlands},
	issn = {0926-6003},
	url = {http://dx.doi.org/10.1007/s10589-012-9456-0},
	author = {Frank Lenzen and Florian Becker and Lellmann, Jan and Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Breitenreicher2012,
	title = {COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis},
	journal = {Optimization Methods and Software},
	volume = {28},
	number = {5},
	year = {2013},
	note = {Projectpage: http://sourceforge.net/projects/coalproject/},
	pages = {1081-1094},
	doi = {10.1080/10556788.2012.672571},
	url = {http://www.tandfonline.com/doi/abs/10.1080/10556788.2012.672571},
	author = {Breitenreicher, Dirk and Lellmann, Jan and Christoph Schn{\"o}rr}
}
@conference {kappes_13_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems},
	booktitle = {CVPR 2013. Proceedings},
	year = {2013},
	note = {1},
	doi = {10.1109/CVPR.2013.175},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Sungwoong, K. and Bernhard X. Kausler and Lellmann, J. and Komodakis, N. and Carsten Rother}
}
@conference {Kappes-2013-benchmark,
	title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem},
	booktitle = {CVPR},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Bernhard X. Kausler and Lellmann, Jan and Komodakis, Nikos and Carsten Rother}
}
@conference {schiegg_13_conservation,
	title = {Conservation Tracking},
	booktitle = {ICCV 2013. Proceedings},
	year = {2013},
	note = {1},
	pages = {2928--2935},
	doi = {10.1109/ICCV.2013.364},
	author = {Schiegg, M. and Hanslovsky, P. and Bernhard X. Kausler and Hufnagel, L. and Fred A. Hamprecht}
}
@booklet {SchmitzerSchnoerr-ShapeMeasures2013,
	title = {Contour Manifolds and Optimal Transport},
	year = {2013},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {SwobodaSchnoerr2013,
	title = {Convex Variational Image Restoration with Histogram Priors},
	journal = {SIAM J.~Imag.~Sci.},
	volume = {6},
	number = {3},
	year = {2013},
	pages = {1719-1735},
	author = {Swoboda, P. and Christoph Schn{\"o}rr}
}
@article {maco_13_correlative,
	title = {Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons},
	journal = {PloS one},
	volume = {8 (2)},
	year = {2013},
	doi = {10.1371/journal.pone.0057405},
	author = {Maco, B. and Holtmaat, A. and Cantoni, M. and Anna Kreshuk and Christoph N. Straehle and Fred A. Hamprecht and G. W. Knott}
}
@article {Petra2013,
	title = {Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics},
	journal = {Fundamenta Informaticae},
	volume = {125},
	year = {2013},
	pages = {285--312},
	author = {Stefania Petra and Christoph Schn{\"o}rr and Schr{\"o}der, A.}
}
@conference {lenzen_13_denoising,
	title = {Denoising Strategies for Time-of-Flight Data},
	booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications},
	volume = {8200},
	year = {2013},
	note = {1},
	pages = {24-25},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-44964-2_2},
	author = {Frank Lenzen and Kim, K. I. and Sch{\"a}fer, H. and Nair, R. and Stephan Meister and Florian Becker and Christoph S. Garbe},
	editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Theobalt, C. and Reinhard Koch}
}
@incollection {Lenzen2013stategies,
	title = {Denoising Strategies for Time-of-Flight Data},
	volume = {8200},
	year = {2013},
	pages = {25-45},
	publisher = {Springer},
	author = {Frank Lenzen and Kim, Kwang In and Sch{\"a}fer, Henrik and Nair, Rahul and Stephan Meister and Florian Becker and Christoph S. Garbe},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Andreas Kolb and Theobalt, Christian and Reinhard Koch}
}
@conference {schaefer_13_depth,
	title = {Depth and Intensity Based Edge Detection in Time-of-Flight Images},
	booktitle = {3D Imaging, Modeling, Processing, Visualization and Transmission
(3DIMPVT), 2013 International Conference on},
	year = {2013},
	note = {1},
	pages = {111-118},
	publisher = {IEEE},
	organization = {IEEE},
	doi = {10.1109/3DV.2013.23},
	author = {Sch{\"a}fer, H. and Frank Lenzen and Christoph S. Garbe}
}
@conference {Schaefer2013depth,
	title = {Depth and Intensity Based Edge Detection in Time-of-Flight Images},
	booktitle = {3DV-Conference, 2013 International Conference on},
	year = {2013},
	pages = {111-118},
	doi = {10.1109/3DV.2013.23},
	author = {Sch{\"a}fer, Henrik and Frank Lenzen and Christoph S. Garbe}
}
@article {Lellmann2013,
	title = {Discrete and Continuous Models for Partitioning Problems},
	journal = {Int.~J.~Comp.~Visionz},
	volume = {104},
	number = {3},
	year = {2013},
	pages = {241-269},
	doi = {http://dx.doi.org/10.1007/s11263-013-0621-4},
	author = {Lellmann, J. and Lellmann, B. and Widmann, F. and Christoph Schn{\"o}rr}
}
@techreport {Schmidt,
	title = {Discriminative Non-blind Deblurring},
	year = {2013},
	abstract = {Non-blind deblurring is an integral component of blind approaches for removing image blur due to camera shake. Even though learning-based deblurring methods exist, they have been limited to the generative case and are compu-tationally expensive. To this date, manually-defined models are thus most widely used, though limiting the attained restoration quality. We address this gap by proposing a dis-criminative approach for non-blind deblurring. One key challenge is that the blur kernel in use at test time is not known in advance. To address this, we analyze existing approaches that use half-quadratic regularization. From this analysis, we derive a discriminative model cascade for image deblurring. Our cascade model consists of a Gaus-sian CRF at each stage, based on the recently introduced regression tree fields. We train our model by loss minimization and use synthetically generated blur kernels to generate training data. Our experiments show that the proposed approach is efficient and yields state-of-the-art restoration quality on images corrupted with synthetic and real blur.},
	author = {Schmidt, Uwe and Carsten Rother and Nowozin, Sebastian and Jancsary, Jeremy and Roth, Stefan}
}
@conference {savchynskyy_13_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	booktitle = {Workshop on Inference for Probabilistic Graphical Models at ICCV.
Proceedings},
	year = {2013},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {savchynskyy_13_global,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area
with Convex Relaxation},
	booktitle = {NIPS. Proceedings},
	year = {2013},
	note = {1},
	pages = {1950-1958},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Swoboda, P. and Christoph Schn{\"o}rr}
}
@conference {SavchynskyyNIPS2013,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation},
	booktitle = {NIPS},
	year = {2013},
	note = {Accepted},
	author = {Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Swoboda, Paul and Christoph Schn{\"o}rr}
}
@conference {SavchynskyyNIPS2013,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation},
	booktitle = {NIPS},
	year = {2013},
	note = {Accepted},
	author = {Savchynskyy, Bogdan and Kappes, Jorg Hendrik and Swoboda, Paul and Christoph Schn{\"o}rr}
}
@article {wanner_13_globally,
	title = {Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields},
	journal = {CVPR 2013. Proceedings},
	year = {2013},
	pages = {1011-1018},
	doi = {10.1109/CVPR.2013.135},
	author = {Sven Wanner and Christoph N. Straehle and Bastian Goldl{\"u}cke}
}
@conference {wanner2013,
	title = {Globally consistent multi-label assignment on the ray space of 4D light fields},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2013},
	author = {Sven Wanner and Christoph N. Straehle and Bastian Goldl{\"u}cke}
}
@conference {SchmitzerSchnoerr-SSVM2013,
	title = {A Hierarchical Approach to Optimal Transport},
	booktitle = {Scale Space and Variational Methods (SSVM 2013)},
	year = {2013},
	pages = {452-464},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@booklet {Kappes-2013-multicut,
	title = {Higher-order Segmentation via Multicuts},
	howpublished = {ArXiv e-prints},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Speth, Markus and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@booklet {Kappes-2013-multicut,
	title = {Higher-order Segmentation via Multicuts},
	howpublished = {ArXiv e-prints},
	year = {2013},
	month = {May},
	author = {Kappes, Jorg Hendrik and Speth, Markus and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@conference {straehle_13_ksmallest,
	title = {K-smallest Spanning Tree Segmentations},
	booktitle = {German Conference on Pattern Recognition (DAGM/GCPR). Proceedings},
	number = {8142},
	year = {2013},
	note = {1},
	pages = {375-384},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-40602-7_40},
	author = {Christoph N. Straehle and Peter, S. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {SchmitzerSchnoerr-JMIV2012,
	title = {Modelling convex shape priors and matching based on the Gromov-Wasserstein distance},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {46},
	number = {1},
	year = {2013},
	pages = {143-159},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {SchmitzerSchnoerr-JMIV2012,
	title = {Modelling convex shape priors and matching based on the Gromov-Wasserstein distance},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {46},
	number = {1},
	year = {2013},
	pages = {143-159},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {bell:VR:2013,
	title = {Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History},
	journal = {Visual Resources Journal, Special Issue on Digital Art History},
	volume = {29},
	number = {1-2},
	year = {2013},
	pages = {26--37},
	publisher = {Taylor \& Francis},
	url = {http://www.tandfonline.com/doi/abs/10.1080/01973762.2013.761111},
	author = {Bell, P. and Schlecht, J. and Bj{\"o}rn Ommer}
}
@conference {SchmitzerSchnoerr-EMMCVPR2013,
	title = {Object Segmentation by Shape Matching with Wasserstein Modes},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013)},
	year = {2013},
	pages = {123-136},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {lellmann_13_optimality,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning
Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47 (3)},
	year = {2013},
	note = {1},
	pages = {239-257},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {swoboda_13_partial,
	title = {Partial Optimality via Iterative Pruning for the Potts Model},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM},
	number = {7893},
	year = {2013},
	note = {1},
	pages = {477-488},
	doi = {10.1007/978-3-642-38267-3_40},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {SwobodaSSVM13,
	title = {Partial Optimality via Iterative Pruning for the Potts Model},
	booktitle = {Scale Space and Variational Methods (SSVM 2013)},
	year = {2013},
	author = {Swoboda, Paul and Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {SwobodaSSVM13,
	title = {Partial Optimality via Iterative Pruning for the Potts Model},
	booktitle = {Scale Space and Variational Methods (SSVM 2013)},
	year = {2013},
	author = {Paul Swoboda and Bogdan Savchynskyy and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {swoboda_13_persistency,
	title = {Persistency by Pruning for General Graphical Models},
	booktitle = {submitted to NIPS 2013.},
	year = {2013},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {nair_13_survey,
	title = {A Survey on Time-of-Flight Stereo Fusion},
	booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications},
	volume = {8022},
	year = {2013},
	pages = {105-127},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-44964-2_6},
	author = {Nair, R. and Ruhl, K. and Frank Lenzen and Stephan Meister and Sch{\"a}fer, H. and Christoph S. Garbe and Eisemann, M. and Daniel Kondermann},
	editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Reinhard Koch}
}
@incollection {Nair2013survey,
	title = {A Survey on Time-of-Flight Stereo Fusion},
	volume = {8200},
	year = {2013},
	pages = {105-127},
	publisher = {Springer},
	author = {Nair, Rahul and Ruhl, Kai and Frank Lenzen and Stephan Meister and Sch{\"a}fer, Henrik and Christoph S. Garbe and Eisemann, Martin and Magnor, Marcus and Daniel Kondermann},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Andreas Kolb and Reinhard Koch}
}
@incollection {Nair2013survey,
	title = {A Survey on Time-of-Flight Stereo Fusion},
	volume = {8200},
	year = {2013},
	pages = {105-127},
	publisher = {Springer},
	author = {Nair, Rahul and Ruhl, Kai and Lenzen, Frank and Meister, Stephan and Sch{\"a}fer, Henrik and Garbe, Christoph S. and Eisemann, Martin and Magnor, Marcus and Kondermann, Daniel},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Koch, Reinhard and Kolb, Andreas}
}
@conference {lefloch_13_technical,
	title = {Technical Foundation and Calibration Methods for Time-of-Flight Cameras},
	booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications},
	volume = {8200},
	number = {3-24},
	year = {2013},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-44964-2_1},
	author = {Lefloch, D. and Nair, R. and Frank Lenzen and Sch{\"a}fer, H. and Streeter, L. and Michael J. Cree},
	editor = {Reinhard Koch and Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Andreas Kolb and Reinhard Koch}
}
@incollection {Lefloch2013foundations,
	title = {Technical Foundation and Calibration Methods for Time-of-Flight Cameras},
	volume = {8200},
	year = {2013},
	pages = {3-24},
	publisher = {Springer},
	author = {Damien Lefloch and Rahul Nair and Frank Lenzen and Henrik Sch{\"a}fer and Lee Streeter and Michael J. Cree and Reinhard Koch and Andreas Kolb},
	editor = {Grzegorzek, Marcin and Theobalt, Christian and Koch, Reinhard and Kolb, Andreas}
}
@article {GSC13:vml,
	title = {Tight convex relaxations for vector-valued labeling},
	journal = {SIAM Journal on Imaging Sciences},
	year = {2013},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@conference {Kappes-2013,
	title = {Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization},
	booktitle = {CVPR},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Speth, Markus and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@conference {Kappes-2013,
	title = {Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization},
	booktitle = {CVPR},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Markus Speth and Gerhard Reinelt and Christoph Schn{\"o}rr}
}
@conference {LNCS80810321,
	title = {Variational Image Segmentation and Cosegmentation with the Wasserstein Distance},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition},
	volume = {8081},
	year = {2013},
	pages = {321--334},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-40394-1},
	author = {Swoboda, Paul and Christoph Schn{\"o}rr},
	editor = {Heyden, Anders and Kahl, Fredrik and Oskarsson, Magnus and Tai, Xue-Cheng and Olsson, Carl}
}
@conference {LNCS80810321,
	title = {Variational Image Segmentation and Cosegmentation with the Wasserstein Distance},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition},
	series = {Lecture Notes in Computer Science},
	volume = {8081},
	year = {2013},
	pages = {321{\textendash}334},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-40394-1},
	author = {Paul Swoboda and Christoph Schn{\"o}rr},
	editor = {Anders Heyden and Fredrik Kahl and Carl Olsson and Magnus Oskarsson and Xue-Cheng Tai}
}
@article {becker_13_variational,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and
Camera Motion from Monocular High Speed Traffic Sequences},
	journal = {International Journal of Computer Vision},
	volume = {105 (3)},
	year = {2013},
	note = {1},
	pages = {269-297},
	doi = {10.1007/s11263-013-0639-7},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@article {Becker-et-al-13a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	journal = {International Journal of Computer Vision},
	volume = {105},
	year = {2013},
	pages = {269--297},
	publisher = {Springer US},
	issn = {0920-5691},
	doi = {10.1007/s11263-013-0639-7},
	url = {http://dx.doi.org/10.1007/s11263-013-0639-7},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@article {Becker-et-al-13a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	journal = {International Journal of Computer Vision},
	volume = {105},
	year = {2013},
	pages = {269{\textendash}297},
	publisher = {Springer US},
	keywords = {Dense depth map, Recursive formulation, Structure from motion, Variational approach},
	issn = {0920-5691},
	doi = {10.1007/s11263-013-0639-7},
	url = {http://dx.doi.org/10.1007/s11263-013-0639-7},
	author = {Florian Becker and Lenzen, Frank and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@conference {straehle_13_weakly,
	title = {Weakly supervised learning of image partitioning using decision trees with structured split criteria},
	booktitle = {ICCV 2013. Proceedings},
	year = {2013},
	note = {1},
	pages = {1849-1856},
	doi = {10.1109/ICCV.2013.232},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {voss2012exp,
	title = {Bichromatic Particle Streak Velocimetry bPSV -- Interfacial, v3C3D velocimetry using a single camera},
	journal = {Exp. Fluids},
	year = {2012},
	note = {Submitted},
	author = {Bj{\"o}rn Voss and Julian Stapf and A. Berthe and Christoph S. Garbe}
}
@conference {kappes_12_bundle,
	title = {A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation},
	booktitle = {CVPR. Proceedings},
	year = {2012},
	note = {1},
	pages = {1688-1695},
	doi = {10.1109/CVPR.2012.6247863},
	author = {J{\"o}rg H. Kappes and Savchynskyy, B. and Christoph Schn{\"o}rr}
}
@conference {Kappes2012,
	title = {A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation},
	booktitle = {CVPR},
	year = {2012},
	note = {in press},
	author = {J{\"o}rg H. Kappes and Savchynskyy, Bogdan and Christoph Schn{\"o}rr}
}
@booklet {Petra-Schnoerr-12b,
	title = {Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics},
	year = {2012},
	month = {September 19},
	url = {http://arxiv.org/abs/1209.4316},
	author = {Petra, S. and Schn{\"o}rr, C. and Schr{\"o}der, A.}
}
@conference {Shekhovtsov2012,
	title = {Curvature prior for MRF-based segmentation and shape inpainting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7476 LNCS},
	year = {2012},
	pages = {41{\textendash}51},
	abstract = {Most image labeling problems such as segmentation and image reconstruction are fundamentally ill-posed and suffer from ambiguities and noise. Higher-order image priors encode high-level structural dependencies between pixels and are key to overcoming these problems. However, in general these priors lead to computationally intractable models. This paper addresses the problem of discovering compact representations of higher-order priors which allow efficient inference. We propose a framework for solving this problem that uses a recently proposed representation of higher-order functions which are encoded as lower envelopes of linear functions. Maximum a Posterior inference on our learned models reduces to minimizing a pairwise function of discrete variables. We show that our framework can learn a compact representation that approximates a low curvature shape prior and demonstrate its effectiveness in solving shape inpainting and image segmentation problems. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642327162},
	issn = {03029743},
	doi = {10.1007/978-3-642-32717-9_5},
	author = {Shekhovtsov, Alexander and Kohli, Pushmeet and Carsten Rother}
}
@conference {Shekhovtsov2012a,
	title = {Curvature prior for MRF-based segmentation and shape inpainting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7476 LNCS},
	year = {2012},
	pages = {41{\textendash}51},
	abstract = {Most image labeling problems such as segmentation and image reconstruction are fundamentally ill-posed and suffer from ambiguities and noise. Higher-order image priors encode high-level structural dependencies between pixels and are key to overcoming these problems. However, in general these priors lead to computationally intractable models. This paper addresses the problem of discovering compact representations of higher-order priors which allow efficient inference. We propose a framework for solving this problem that uses a recently proposed representation of higher-order functions which are encoded as lower envelopes of linear functions. Maximum a Posterior inference on our learned models reduces to minimizing a pairwise function of discrete variables. We show that our framework can learn a compact representation that approximates a low curvature shape prior and demonstrate its effectiveness in solving shape inpainting and image segmentation problems. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642327162},
	issn = {03029743},
	doi = {10.1007/978-3-642-32717-9_5},
	url = {www.research.microsoft.com/vision/cambridge http://www.cs.ucl.ac.uk/staff/V.Kolmogorov/papers/StereoSegmentation_PAMI06.pdf\%5Cnpapers3://publication/uuid/F008E9F4-510D-4478-A3C0-1BFB22F6AEA0},
	author = {Shekhovtsov, Alexander and Kohli, Pushmeet and Carsten Rother}
}
@conference {Shekhovtsov2012b,
	title = {Curvature prior for MRF-based segmentation and shape inpainting},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {7476 LNCS},
	year = {2012},
	month = {sep},
	pages = {41{\textendash}51},
	abstract = {Most image labeling problems such as segmentation and image reconstruction are fundamentally ill-posed and suffer from ambiguities and noise. Higher-order image priors encode high-level structural dependencies between pixels and are key to overcoming these problems. However, in general these priors lead to computationally intractable models. This paper addresses the problem of discovering compact representations of higher-order priors which allow efficient inference. We propose a framework for solving this problem that uses a recently proposed representation of higher-order functions which are encoded as lower envelopes of linear functions. Maximum a Posterior inference on our learned models reduces to minimizing a pairwise function of discrete variables. We show that our framework can learn a compact representation that approximates a low curvature shape prior and demonstrate its effectiveness in solving shape inpainting and image segmentation problems. {\textcopyright} 2012 Springer-Verlag.},
	isbn = {9783642327162},
	issn = {03029743},
	doi = {10.1007/978-3-642-32717-9_5},
	url = {http://arxiv.org/abs/1109.1480},
	author = {Shekhovtsov, Alexander and Kohli, Pushmeet and Carsten Rother}
}
@conference {kausler_12_discrete,
	title = {A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness},
	booktitle = {ECCV 2012. Proceedings},
	volume = {7574},
	year = {2012},
	note = {1},
	pages = {144-157},
	doi = {10.1007/978-3-642-33712-3_11},
	author = {Bernhard X. Kausler and Schiegg, M. and Bj{\"o}rn Andres and Lindner, M. and Ullrich K{\"o}the and Leitte, H. and Wittbrodt, J. and Hufnagel, L. and Fred A. Hamprecht}
}
@conference {schaefer_12_edge,
	title = {Edge Detection in Time-of-Flight Images},
	booktitle = {submitted to ECCV, 2nd Workshop on Consumer Depth Cameras for Computer
Vision},
	year = {2012},
	note = {1},
	author = {Sch{\"a}fer, H. and Frank Lenzen and Stephan Meister and Christoph S. Garbe}
}
@article {savchynskyy_12_efficient,
	title = {Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing},
	journal = {UAI. Proceedings},
	year = {2012},
	note = {1},
	pages = {746-755},
	author = {Savchynskyy, B. and Schmidt, S. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {SavchynskyyUAI2012,
	title = {Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing},
	booktitle = {UAI 2012},
	year = {2012},
	note = {in press},
	author = {Savchynskyy, Bogdan and Schmidt, Stefan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@article {savchynskyy_12_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	journal = {arXiv:1210.4081},
	year = {2012},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {nair_12_high,
	title = {High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates},
	booktitle = {submitted to ECCV 2012},
	volume = {7584},
	year = {2012},
	note = {1},
	pages = {1-11},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-33868-7_1},
	author = {Nair, R. and Frank Lenzen and Sch{\"a}fer, H. and Stephan Meister and Christoph S. Garbe and Daniel Kondermann}
}
@conference {Nair2012highaccuracy,
	title = {High accuracy TOF and stereo sensor fusion at interactive rates},
	booktitle = {Computer Vision--ECCV 2012. Workshops and Demonstrations},
	year = {2012},
	pages = {1--11},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	author = {Nair, Rahul and Frank Lenzen and Stephan Meister and Sch{\"a}fer, Henrik and Christoph S. Garbe and Daniel Kondermann}
}
@conference {Nair2012highaccuracy,
	title = {High accuracy TOF and stereo sensor fusion at interactive rates},
	booktitle = {Computer Vision{\textendash}ECCV 2012. Workshops and Demonstrations},
	year = {2012},
	pages = {1{\textendash}11},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	author = {Nair, Rahul and Lenzen, Frank and Meister, Stephan and Sch{\"a}fer, Henrik and Garbe, Christoph S. and Kondermann, Daniel}
}
@article {diego_12_joint,
	title = {Joint SpatioTemporal Alignment of Sequences},
	journal = {IEEE Transactions on Multimedia (TMM)},
	volume = {PP (99)},
	year = {2012},
	note = {1},
	pages = {1},
	doi = {10.1109/TMM.2013.2247390},
	author = {Ferran Diego and Serrat, J. and López, A. M.}
}
@article {sommer_12_learning-based,
	title = {Learning-based Mitotic Cell Detection in Histopathological Images},
	journal = {ICPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {2306-2309},
	author = {Christoph Sommer and Fiaschi, L. and Fred A. Hamprecht and Gerlich, D.}
}
@article {goldluecke_12_natural,
	title = {The Natural Vectorial Total Variation which Arises from Geometric
Measure Theory},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {5},
	year = {2012},
	note = {1},
	pages = {537-563},
	doi = {10.1137/110823766},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@article {GSC12:vtv,
	title = {The natural vectorial total variation which arises from geometric measure theory},
	journal = {SIAM Journal on Imaging Sciences},
	year = {2012},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@article {Lellmann-et-al-12,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47},
	number = {3},
	year = {2012},
	pages = {239-257},
	publisher = {Springer},
	issn = {0924-9907},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr}
}
@article {Lellmann-et-al-12,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {47},
	number = {3},
	year = {2012},
	pages = {239-257},
	publisher = {Springer},
	issn = {0924-9907},
	doi = {10.1007/s10851-012-0390-7},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@article {renard_12_overcoming,
	title = {Overcoming species boundaries in peptide identification with BICEPS},
	journal = {Molecular and Cellular Proteomics},
	volume = {11},
	year = {2012},
	doi = {10.1074/mcp.M111.014167},
	author = {B. Y. Renard and Xu, B. and Kirchner, M. and Zickmann, F. and Winter, D. and Korten, S. and Brattig, N. and Tzur, A. and Fred A. Hamprecht and Steen, H.}
}
@incollection {garbe2012,
	title = {Plenoptic Particle Streak Velocimetry (pPSV): 3D3C fluid flow measurement from light fields with a single plenoptic camera},
	year = {2012},
	pages = {1-12},
	publisher = {Instituto Superior T{\'e}cnico},
	author = {Christoph S. Garbe and Bj{\"o}rn Voss and Julian Stapf}
}
@conference {Jancsary2012c,
	title = {Regression Tree Fields An efficient, non-parametric approach to image labeling problems},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2012},
	pages = {2376{\textendash}2383},
	abstract = {We introduce Regression Tree Fields (RTFs), a fully conditional random field model for image labeling problems. RTFs gain their expressive power from the use of non-parametric regression trees that specify a tractable Gaussian random field, thereby ensuring globally consistent predictions. Our approach improves on the recently introduced decision tree field (DTF) model [14] in three key ways: (i) RTFs have tractable test-time inference, making efficient optimal predictions feasible and orders of magnitude faster than for DTFs, (ii) RTFs can be applied to both discrete and continuous vector-valued labeling tasks, and (Hi) the entire model, including the structure of the regression trees and energy function parameters, can be efficiently and jointly learned from training data. We demonstrate the expressive power and flexibility of the RTF model on a wide variety of tasks, including inpainting, colorization, denoising, and joint detection and registration. We achieve excellent predictive performance which is on par with, or even surpassing, DTFs on all tasks where a comparison is possible. {\textcopyright} 2012 IEEE.},
	isbn = {9781467312264},
	issn = {10636919},
	doi = {10.1109/CVPR.2012.6247950},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Sharp, Toby and Carsten Rother}
}
@conference {Jancsary2012d,
	title = {Regression Tree Fields An efficient, non-parametric approach to image labeling problems},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2012},
	pages = {2376{\textendash}2383},
	abstract = {We introduce Regression Tree Fields (RTFs), a fully conditional random field model for image labeling problems. RTFs gain their expressive power from the use of non-parametric regression trees that specify a tractable Gaussian random field, thereby ensuring globally consistent predictions. Our approach improves on the recently introduced decision tree field (DTF) model [14] in three key ways: (i) RTFs have tractable test-time inference, making efficient optimal predictions feasible and orders of magnitude faster than for DTFs, (ii) RTFs can be applied to both discrete and continuous vector-valued labeling tasks, and (Hi) the entire model, including the structure of the regression trees and energy function parameters, can be efficiently and jointly learned from training data. We demonstrate the expressive power and flexibility of the RTF model on a wide variety of tasks, including inpainting, colorization, denoising, and joint detection and registration. We achieve excellent predictive performance which is on par with, or even surpassing, DTFs on all tasks where a comparison is possible. {\textcopyright} 2012 IEEE.},
	isbn = {9781467312264},
	issn = {10636919},
	doi = {10.1109/CVPR.2012.6247950},
	author = {Jancsary, Jeremy and Nowozin, Sebastian and Sharp, Toby and Carsten Rother}
}
@conference {straehle_12_seeded,
	title = {Seeded watershed cut uncertainty estimators for guided interactive segmentation},
	booktitle = {CVPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {765 - 772},
	doi = {10.1109/CVPR.2012.6247747},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Briggman, K. and Denk, W. and Fred A. Hamprecht}
}
@article {Becker-et-al-11b,
	title = {Variational Adaptive Correlation Method for Flow Estimation},
	journal = {IEEE Transactions on Image Processing},
	volume = {21},
	number = {6},
	year = {2012},
	pages = {3053 -- 3065},
	doi = {10.1109/TIP.2011.2181524},
	author = {Florian Becker and Wieneke, Bernhard and Stefania Petra and Schr{\"o}der, Andreas and Christoph Schn{\"o}rr}
}
@article {Becker-et-al-11b,
	title = {Variational Adaptive Correlation Method for Flow Estimation},
	journal = {IEEE Transactions on Image Processing},
	volume = {21},
	number = {6},
	year = {2012},
	month = {June},
	pages = {3053 {\textendash} 3065},
	doi = {10.1109/TIP.2011.2181524},
	author = {Florian Becker and Wieneke, Bernhard and Petra, Stefania and Schr{\"o}der, Andreas and Christoph Schn{\"o}rr}
}
@conference {Lenzen-et-al-11,
	title = {Variational Image Denoising with Adaptive Constraint Sets},
	booktitle = {LNCS},
	year = {2012},
	pages = {206-217},
	publisher = {Springer},
	organization = {Springer},
	author = {Frank Lenzen and Florian Becker and Lellmann, Jan and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {Lenzen-et-al-11,
	title = {Variational Image Denoising with Adaptive Constraint Sets},
	booktitle = {Proceedings of the 3rd International Conference on Scale Space and Variational Methods in Computer Vision 2011},
	year = {2012},
	pages = {206-217},
	publisher = {Springer},
	organization = {Springer},
	author = {Lenzen, Frank and Florian Becker and Lellmann, Jan and Petra, Stefania and Christoph Schn{\"o}rr}
}
@conference {kiefhaber2012,
	title = {Water Surface Topography Measurements with the Reflective Stereo Slope Gauge},
	booktitle = {AGU Ocean Science Meeting 2012, Salt Lake City},
	year = {2012},
	doi = {10.5281/zenodo.12333},
	author = {Daniel Kiefhaber and Julia Schaper and Roland Rocholz and Christopher J. Zappa and William E. Asher and Jessup, A.T. and Bernd J{\"a}hne}
}
@conference {SchmitzerSchnoerr-SSVM2011,
	title = {Weakly Convex Coupling Continuous Cuts and Shape Priors},
	booktitle = {Scale Space and Variational Methods (SSVM 2011)},
	year = {2012},
	pages = {423-434},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@conference {schimpf2011b,
	title = {The 2009 SOPRAN active thermography pilot experiment in the Baltic Sea},
	booktitle = {Gas Transfer at Water Surfaces 2010},
	year = {2011},
	pages = {358--367},
	doi = {10.5281/zenodo.14956},
	url = {http://hdl.handle.net/2433/156156},
	author = {Uwe Schimpf and Leila Nagel and Bernd J{\"a}hne},
	editor = {S. Komori and W. R. McGilles and R. Kurose}
}
@phdthesis {schmidt2011,
	title = {Analysis, Modeling and Dynamic Optimization of 3D Time-of-Flight Imaging Systems},
	volume = {Dissertation},
	year = {2011},
	note = {started 01.07.2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	abstract = {(Kurzfassung) Die vorliegende Arbeit befasst sich mit der Optimierung von 3D-Laufzeitkamerasystemen. Diese neuartigen Kameras erfassen Entfernungsbilder, indem sie die beobachtete Szene aktiv beleuchten und die Laufzeit (Time-of-Flight, ToF) des r{\"u}ckgestreuten Lichtes bestimmen. Dabei werden Tiefenbilder aus mehreren Rohbildern konstruiert, wobei typischerweise zwei dieser Bilder simultan mit Hilfe spezieller korrelierender Sensoren aufgenommen werden. Der wissenschaftliche Beitrag dieser Arbeit setzt sich aus vier Entwicklungen zusammen: Pr{\"a}sentiert wird ein physikalisches Sensor-Modell, welches eine Analyse und Optimierung des Prozesses der Rohbildaufnahme erm{\"o}glicht. Hierauf gest{\"u}tzt wird ein auf einer logarithmischen Kennlinie beruhendes ToF Sensor-Design vorgeschlagen. Aufgrund von Asymmetrien der beiden parallelen Auslesestufen des Sensors ist gegenw{\"a}rtig eine mehrfache Akquisition der Rohbilder notwendig. Dies erm{\"o}glicht eine Korrektur systematischer Fehler. Die vorliegende Arbeit pr{\"a}sentiert eine Methode zur dynamischen Kalibrierung und Kompensation dieser Asymmetrien. Sie erlaubt die Erzeugung von zwei Tiefenkarten aus den urspr{\"u}nglichen Rohdaten (eines Tiefenbildes), und bewirkt so eine Verdopplung der Bildwiederholrate. Da mehrere zu unterschiedlichen Zeiten aufgenommene Rohbilder zu einem einzigen Tiefenbild kombiniert werden, treten bei der Abbildung dynamischer Szenerien Bewegungsartefakte auf. Diese Arbeit stellt eine neue, einfache und robuste Methode zur Detektion und Korrektur solcher Artefakte vor. Die in dieser Arbeit pr{\"a}sentierten Algorithmen besitzen eine Berechnungskomplexit{\"a}t, die auch auf Systemen mit limitierten Ressourcen (z.B.~eingebetteten Systemen) eine Ausf{\"u}hrung in Echtzeit erlaubt. Die Algorithmen werden unter Nutzung eines kommerziellen ToF Systems demonstriert. (Abstract) The present thesis is concerned with the optimization of 3D Time-of-Flight (ToF) imaging systems. These novel cameras determine range images by actively illuminating a scene and measuring the time until the backscattered light is detected. Depth maps are constructed from multiple raw images. Usually two of such raw images are acquired simultaneously using special correlating sensors. This thesis covers four main contributions: A physical sensor model is presented which enables the analysis and optimization of the process of raw image acquisition. This model supports the proposal of a new ToF sensor design which employs a logarithmic photo response. Due to asymmetries of the two read-out paths current systems need to acquire the raw images in multiple instances. This allows the correction of systematic errors. The present thesis proposes a method for dynamic calibration and compensation of these asymmetries. It facilitates the computation of two depth maps from a single set of raw images and thus increases the frame rate by a factor of two. Since not all required raw images are captured simultaneously motion artifacts can occur. The present thesis proposes a robust method for detection and correction of such artifacts. All proposed algorithms have a computational complexity which allows real-time execution even on systems with limited resources (e.g.~embedded systems). The algorithms are demonstrated by use of a commercial ToF camera.},
	url = {http://www.ub.uni-heidelberg.de/archiv/12297},
	author = {Schmidt, Mirko}
}
@article {kreshuk_11_automated2,
	title = {Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images},
	journal = {PLoS ONE},
	volume = {6 (10)},
	year = {2011},
	doi = {10.1371/journal.pone.0024899},
	author = {Anna Kreshuk and Christoph N. Straehle and Christoph Sommer and Ullrich K{\"o}the and Cantoni, M. and G. W. Knott and Fred A. Hamprecht}
}
@conference {kreshuk_11_automated,
	title = {Automated Segmentation of Synapses in 3D EM Data},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).
Proceedings},
	year = {2011},
	note = {1},
	pages = {220-223},
	doi = {10.1109/ISBI.2011.5872392},
	author = {Anna Kreshuk and Christoph N. Straehle and Christoph Sommer and Ullrich K{\"o}the and G. W. Knott and Fred A. Hamprecht}
}
@conference {straehle_11_carving,
	title = {Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images},
	booktitle = {MICCAI 2011, Proceedings.},
	volume = {6891},
	year = {2011},
	note = {1},
	pages = {653-660},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23623-5_82},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and G. W. Knott and Fred A. Hamprecht}
}
@conference {rocholz2011a,
	title = {Combined visualization of wind waves and water surface temperature},
	booktitle = {Gas Transfer at Water Surfaces 2010},
	year = {2011},
	pages = {496--506},
	doi = {10.5281/zenodo.14957},
	url = {http://hdl.handle.net/2433/156156},
	author = {Roland Rocholz and Sven Wanner and Uwe Schimpf and Bernd J{\"a}hne},
	editor = {S. Komori and W. R. McGilles and R. Kurose}
}
@article {Lellmann-Schnoerr-SIIMS-11,
	title = {Continuous Multiclass Labeling Approaches and Algorithms},
	journal = {SIAM J.~Imag.~Sci.},
	volume = {4},
	number = {4},
	year = {2011},
	pages = {1049-1096},
	author = {Lellmann, J. and Christoph Schn{\"o}rr}
}
@article {Lellmann2011corr,
	title = {Continuous Multiclass Labeling Approaches and Algorithms},
	journal = {CoRR},
	volume = {abs/1102.5448},
	year = {2011},
	url = {http://arxiv.org/abs/1102.5448},
	author = {Lellmann, J. and Schn{\"o}rr, C.}
}
@conference {schlecht:BMVC:2011,
	title = {Contour-based Object Detection},
	booktitle = {BMVC},
	year = {2011},
	pages = {1--9},
	author = {Schlecht, J. and Bj{\"o}rn Ommer}
}
@conference {Nowozin2011a,
	title = {Decision tree fields},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2011},
	pages = {1668{\textendash}1675},
	abstract = {This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fields (CRF) which have been widely used in computer vision. In a typical CRF model the unary potentials are derived from sophisticated random forest or boosting based classifiers, however, the pairwise potentials are assumed to (1) have a simple parametric form with a pre-specified and fixed dependence on the image data, and (2) to be defined on the basis of a small and fixed neighborhood. In contrast, in DTF, local interactions between multiple variables are determined by means of decision trees evaluated on the image data, allowing the interactions to be adapted to the image content. This results in powerful graphical models which are able to represent complex label structure. Our key technical contribution is to show that the DTF model can be trained efficiently and jointly using a convex approximate likelihood function, enabling us to learn over a million free model parameters. We show experimentally that for applications which have a rich and complex label structure, our model achieves excellent results. {\textcopyright} 2011 IEEE.},
	isbn = {9781457711015},
	doi = {10.1109/ICCV.2011.6126429},
	author = {Nowozin, Sebastian and Carsten Rother and Bagon, Shai and Sharp, Toby and Yao, Bangpeng and Kohli, Pushmeet}
}
@conference {lenzen_11_denoising,
	title = {Denoising Time-Of-Flight Data with Adaptive Total Variation},
	booktitle = {Proceedings ISVC},
	year = {2011},
	note = {1},
	pages = {337-346},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-24028-7_31},
	author = {Frank Lenzen and Sch{\"a}fer, H. and Christoph S. Garbe}
}
@conference {schlecht:ICIP:2011,
	title = {Detecting Gestures in Medieval Images},
	booktitle = {Proceedings of the International Conference on Image Processing},
	year = {2011},
	pages = {1309--1312},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Schlecht, J. and Bernd Carque and Bj{\"o}rn Ommer}
}
@conference {schmidt2011b,
	title = {Efficient and robust reduction of motion artifacts for 3D time-of-flight cameras},
	booktitle = {International Conference on 3D Imaging 2011, Li{\`e}ge, Belgium},
	year = {2011},
	doi = {10.1109/IC3D.2011.6584391},
	author = {Schmidt, Mirco and Bernd J{\"a}hne}
}
@conference {schmidt_11_evaluation,
	title = {Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy
Minimization},
	booktitle = {EMMCVPR 2011},
	volume = {6819},
	year = {2011},
	note = {1},
	pages = {89-103},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23094-3_7},
	author = {Schmidt, S. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Schmidt11,
	title = {Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization},
	booktitle = {EMMCVPR},
	volume = {6819},
	year = {2011},
	pages = {89-103},
	publisher = {Springer},
	organization = {Springer},
	author = {Schmidt, Stefan and Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Schmidt11,
	title = {Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization},
	booktitle = {EMMCVPR},
	series = {LNCS},
	volume = {6819},
	year = {2011},
	pages = {89-103},
	publisher = {Springer},
	organization = {Springer},
	author = {Stefan Schmidt and Bogdan Savchynskyy and J{\"o}rg Hendrik Kappes and Christoph Schn{\"o}rr}
}
@conference {wanner_11_framework,
	title = {A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	note = {1},
	pages = {199-206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Eisert, P. and Joachim Hornegger and Konrad Polthier}
}
@conference {wanner2011,
	title = {A framework for interactive visualization and classification of dynamical processes at the water surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	pages = {199--206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Jung, M. and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier}
}
@article {Nicola-et-al-2011,
	title = {A general extending and constraining procedure for linear iterative methods},
	journal = {Int.~J.~Comp.~Math.},
	year = {2011},
	note = {in press},
	url = {http://dx.doi.org/10.1080/00207160.2011.634002},
	author = {Nicola, A. and Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@article {Nicola-et-al-2011,
	title = {A general extending and constraining procedure for linear iterative methods},
	journal = {Int. J. Comp. Math.},
	year = {2011},
	note = {in press},
	url = {http://dx.doi.org/10.1080/00207160.2011.634002},
	author = {Nicola, A. and Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@conference {He2011,
	title = {A global sampling method for alpha matting},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {2049{\textendash}2056},
	abstract = {Alpha matting refers to the problem of softly extracting the foreground from an image. Given a trimap (specifying known foreground/background and unknown pixels), a straightforward way to compute the alpha value is to sample some known foreground and background colors for each unknown pixel. Existing sampling-based matting methods often collect samples near the unknown pixels only. They fail if good samples cannot be found nearby. In this paper, we propose a global sampling method that uses all samples available in the image. Our global sample set avoids missing good samples. A simple but effective cost function is defined to tackle the ambiguity in the sample selection process. To handle the computational complexity introduced by the large number of samples, we pose the sampling task as a correspondence problem. The correspondence search is efficiently achieved by generalizing a randomized algorithm previously designed for patch matching[3]. A variety of experiments show that our global sampling method produces both visually and quantitatively high-quality matting results. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995495},
	author = {He, Kaiming and Rhemann, Christoph and Carsten Rother and Tang, Xiaoou and Sun, Jian}
}
@conference {kappes_11_globally,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	note = {1},
	pages = {31-44},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23094-3_3},
	author = {J{\"o}rg H. Kappes and Speth, M. and Bj{\"o}rn Andres and Reinelt, G. and Christoph Schn{\"o}rr}
}
@conference {Kappes11,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg H. Kappes and Speth, Markus and Bj{\"o}rn Andres and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@conference {Kappes11,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg Hendrik Kappes and Markus Speth and Bj{\"o}rn Andres and Gerhard Reinelt and Christoph Schn{\"o}rr}
}
@conference {schmidt2011a,
	title = {High frame rate for 3D time-of-flight cameras by dynamic sensor calibration},
	booktitle = {Proceedings IEEE International Conference on Computational Photography (ICCP)},
	year = {2011},
	pages = {1--8},
	abstract = {3D Time-of-Flight cameras are able to deliver robust depth maps of dynamic scenes. The frame rate, however, is limited because today{\textquoteright}s systems utilizing two-tap sensors need to acquire the required raw images in multiple instances in order to compute one depth map. These multiple raw images allow canceling out systematic errors introduced by asymmetries in the two taps, which otherwise would distort the reconstructed depth map. This work presents a method to implicitly calibrate these asymmetries of multi-tap 3D Time-of-Flight sensors. The calibration data are gathered from arbitrary live acquisitions possibly in real-time. The proposed correction of raw data supersedes the commonly used averaging technique. Thus it is possible to compute multiple depth maps from a single set of raw images. This increases the frame rate by at least a factor of two. The method is verified using real camera data and is evaluated quantitatively.},
	doi = {10.1109/ICCPHOT.2011.5753121},
	author = {Schmidt, Mirko and Klaus Zimmermann and Bernd J{\"a}hne}
}
@conference {sommer_11_ilastik,
	title = {ilastik: Interactive Learning and Segmentation Toolkit},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings},
	year = {2011},
	note = {1},
	pages = {230-233},
	doi = {10.1109/ISBI.2011.5872394},
	author = {Christoph Sommer and Christoph N. Straehle and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@mastersthesis {schleicher_11_image,
	title = {Image Processing for Super-Resolution Localization Microscopy Utilizing an FPGA Accelerator},
	year = {2011},
	school = {University of Heidelberg},
	author = {Schleicher, J.}
}
@mastersthesis {schapowalow_11_implementierung,
	title = {Implementierung der "Focus-Sweep" Technik mit Hilfe von Scheimpflugoptik
und TDI-Technik},
	year = {2011},
	note = {1},
	school = {University of Heidelberg},
	author = {Schapowalow, Alexander}
}
@mastersthesis {schapowalow2011,
	title = {Implementierung der Focus-Sweep Technik mit Hilfe von Scheimpflugoptik und TDI-Technik},
	year = {2011},
	school = {Fakult{\"a}t f{\"u}r Mathematik und Informatik, Ruprecht-Karls-Universit{\"a}t Heidelberg, Germany},
	author = {Schapowalow, Alexander}
}
@mastersthesis {straehle_11_interactive,
	title = {Interactive Segmentation of Neural Electron Microscopy Data},
	year = {2011},
	school = {University of Heidelberg},
	author = {Christoph N. Straehle}
}
@mastersthesis {Schnieders2011,
	title = {Investigation of Momentum Transfer across the Air-Sea Interface by Means of Active and Passive Thermography},
	year = {2011},
	school = {Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg},
	author = {Schnieders, Jana}
}
@conference {schimpf2011,
	title = {Lock-in thermography at the ocean surface: a local and fast method to investigate heat and gas exchange between ocean and atmosphere},
	booktitle = {DPG Fr{\"u}hjahrstagung Dresden, Fachverband Umweltphysik},
	year = {2011},
	abstract = {Heat is used as a proxy tracer for gases to study the transport processes across the sea-surface interface to obtain a detailed insight into the diffusive and turbulent processes controlling the transport. A carbon dioxide laser forces a periodically varying heat flux density onto the water surface and the amplitude damping and phase shift of the sea surface temperature is measured from infrared image sequences. The transport process can be treated by linear system theory and the relation between the input signal (periodically varying surface flux density) and the output (surface temperature) is estimated. Within the framework of the SOPRAN initiative three field experiments in the Baltic Sea were conducted. The locally derived heat transfer rates are scaled to gas transfer rates, which are in good agreement with empirical gas transfer wind speed relationships for moderate winds speeds. At high wind speed, the transfer rates are lower, which is explained by the fact that heat transport is insensitive to bubble-mediated gas transfer, i.e. it measures only a part of the transfer process directly at the water surface. Together with eddy covariance measurements a significant improvement of the parameterization of heat and gas transfer velocities can be expected.},
	url = {http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/1/contribution/28},
	author = {Uwe Schimpf and Leila Nagel and Bernd J{\"a}hne}
}
@conference {kiefhaber2011a,
	title = {Mean square slope measurements in the field with the reflective stereo slope gauge},
	booktitle = {EGU General Assembly, Vienna},
	year = {2011},
	abstract = {An optical instrument for the measurement of surface ocean small-scale wave statistics has been developed. This reflective stereo slope gauge (RSSG) is capable of simultaneous measurements of height and slope statistics of the water surface in the field. The instrument is a significant technical improvement of the early work by Waas and J{\"a}hne (1992) and comprises a stereo camera setup, artificial light sources and a wind following system. The measurement principle is similar to Cox \& Munk{\textquoteright}s derivation of slope statistics from photographs of Sun glitter (Cox and Munk, 1954). However, the RSSG uses artificial light sources instead of relying on natural illumination and can thus be used independent of daytime or cloud cover. The probability distribution of the occurrence of specular reflections at given image coordinates can be related to the probability distribution of the surface slope, if the position of the instrument relative to the water surface is known. The slope probability distribution is measured for small slopes up to 0.15. From this partial probability distribution, estimates of the mean square slope (mss) and other statistical parameters can be extracted. The distance from of the instrument to the water surface is obtained from stereo triangulation, while an inclination sensor measures its tilt. Stereo triangulation at the specular reflecting water surface requires the use of two light sources in complementary positions to ensure that both cameras detect reflections coming from the same surface patches. Furthermore, to guarantee that each camera can only sees the corresponding light source, the stereo images are acquired sequentially and the LED light sources are pulsed. The water surface does not change significantly in between the image acquisitions, since the exposure time (and thus the minimum delay of the second image acquisition) is limited to 0.2 ms. The instrument can measure the along-wind and cross-wind mean square slope components, even under varying wind conditions. A wind following system was implemented that is able to rotate the stereo base to keep it aligned in an along-wind or cross-wind direction. Even though the instrument cannot record slope time series and only makes statistic measurements, it has significant advantages over other techniques that are commonly used. Measurements are non-invasive (no instrument parts suspended into or submersed in water) and mostly independent of natural illumination (light source peak wavelength is 940 nm, IR filters suppress skylight, only direct sun glitter may cause complications), not influenced by upwelling light (strong absorption of light at 940 nm by water) and have a spatial resolution that allows the measurement of slope statistics also for capillary waves. At the same time, the (gravity) wave amplitudes can be inferred from the stereo information. The RSSG was characterized and tested in the laboratory and deployed to the Baltic Sea in July and September 2010 to perform local wave statistics measurements at the footprint of heat exchange experiments with the active controlled flux technique (Schimpf et al., 2010). First results from these experiments that demonstrate the capability of the RSSG to measure wave slope statistics in a variety of conditions are presented.},
	doi = {10.5281/zenodo.12331},
	author = {Daniel Kiefhaber and Roland Rocholz and Julia Schaper and G{\"u}nther Balschbach and Bernd J{\"a}hne}
}
@conference {kiefhaber2011,
	title = {Measurement of ocean wave statistics with the reflective stereo slope gauge},
	booktitle = {DPG Fr{\"u}hjahrstagung Dresden, Fachverband Umweltphysik},
	year = {2011},
	abstract = {An optical instrument for the measurement of surface ocean small-scale wave statistics has been developed. This reflective stereo slope gauge (RSSG) is a significant technical improvement of the early work by Waas and J{\"a}hne (1992) and capable of simultaneous measurements of height and slope statistics of the water surface in the field. It comprises a stereo camera setup to measure wave heights by stereo triangulation. The slope measurement is based on Cox \& Munk{\textquoteright}s derivation of slope statistics from photographs of sun glitter (1954) but uses artificial light sources to be independent of natural illumination. The probability distribution of the occurrence of specular reflections in the images can be related to the probability distribution of the surface slope. Although the instrument only makes statistical measurements, it has significant advantages over other common techniques. Measurements are non-invasive (no instrument parts suspended into or submersed in water) and mostly independent of natural illumination (IR light source with},
	url = {http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/1/contribution/30},
	author = {Daniel Kiefhaber and Roland Rocholz and G{\"u}nther Balschbach and Julia Schaper and Bernd J{\"a}hne}
}
@article {Breitenreicher-Schnoerr-IJCV2011,
	title = {Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data},
	journal = {Int.~J.~Comp.~Vision},
	volume = {92},
	year = {2011},
	pages = {32--52},
	doi = {10.1007/s11263-010-0401-3},
	url = {http://www.springerlink.com/content/v266873267180602/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@article {Breitenreicher-Schnoerr-IJCV2011,
	title = {Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data},
	journal = {Int. J. Comp. Vision},
	volume = {92},
	year = {2011},
	pages = {32{\textendash}52},
	doi = {10.1007/s11263-010-0401-3},
	url = {http://www.springerlink.com/content/v266873267180602/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@conference {Bleyer2011,
	title = {Object stereo Joint stereo matching and object segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {3081{\textendash}3088},
	abstract = {This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially coherent objects. Each object is characterized by three different aspects: a color model, a 3D plane that approximates the object{\textquoteright}s disparity distribution, and a novel 3D connectivity property. Inspired by Markov Random Field models of image segmentation, we employ object-level color models as a soft constraint, which can aid depth estimation in powerful ways. In particular, our method is able to recover the depth of regions that are fully occluded in one input view, which to our knowledge is new for stereo matching. Our model is formulated as an energy function that is optimized via fusion moves. We show high-quality disparity and object segmentation results on challenging image pairs as well as standard benchmarks. We believe our work not only demonstrates a novel synergy between the areas of image segmentation and stereo matching, but may also inspire new work in the domain of automatic and interactive object-level scene manipulation. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995581},
	author = {Bleyer, Michael and Carsten Rother and Kohli, Pushmeet and Scharstein, Daniel and Sinha, Sudipta}
}
@conference {menze_11_on,
	title = {On oblique random forests},
	booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings.},
	year = {2011},
	note = {1},
	pages = {453-469},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23783-6_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Splitthoff, N. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {lellmann_11_optimality,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning
Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	year = {2011},
	note = {1},
	pages = {132-146},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1234/12345678},
	author = {Lellmann, J. and Frank Lenzen and Christoph Schn{\"o}rr}
}
@conference {Lellmann2011,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	volume = {6819},
	year = {2011},
	pages = {132--146},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, Jan and Frank Lenzen and Christoph Schn{\"o}rr},
	editor = {Boykov, Y. and Kahl, F. and Schmidt, F. R. and Lempitsky, V. F.}
}
@conference {Lellmann2011,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	booktitle = {Energy Min. Meth. Comp. Vis. Patt. Recogn.},
	series = {LNCS},
	volume = {6819},
	year = {2011},
	pages = {132{\textendash}146},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr},
	editor = {Boykov, Y. and Kahl, F. and Lempitsky, V. F. and Schmidt, F. R.}
}
@techreport {Lellmann2011b,
	title = {Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem},
	year = {2011},
	month = {Dec},
	institution = {IPA group, Heidelberg University},
	url = {http://arxiv.org/abs/1112.0974},
	author = {Lellmann, Jan and Lenzen, Frank and Christoph Schn{\"o}rr}
}
@conference {rathke_11_order,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer
Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI 2011, Proceedings},
	volume = {6893},
	year = {2011},
	note = {1},
	pages = {370-377},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23626-6_46},
	author = {Rathke, F. and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {Rathke11,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI},
	volume = {6893},
	year = {2011},
	pages = {370--377},
	publisher = {Springer},
	organization = {Springer},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr},
	editor = {Fichtinger, Gabor and Martel, Anne L. and Peters, Terry M.}
}
@incollection {rathke2011b,
	title = {Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography},
	volume = {6893},
	year = {2011},
	pages = {370{\textendash}377},
	publisher = {Springer},
	author = {Rathke, Fabian and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@conference {Rathke11,
	title = {Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography},
	booktitle = {MICCAI},
	series = {Lecture Notes in Computer Science},
	volume = {6893},
	year = {2011},
	pages = {370{\textendash}377},
	publisher = {Springer},
	organization = {Springer},
	author = {Fabian Rathke and Stefan Schmidt and Christoph Schn{\"o}rr},
	editor = {Fichtinger, Gabor and Martel, Anne L. and Peters, Terry M.}
}
@conference {Gehler2011,
	title = {Recovering intrinsic images with a global sparsity prior on reflectance},
	booktitle = {Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011},
	year = {2011},
	abstract = {We address the challenging task of decoupling material properties from lighting properties given a single image. In the last two decades virtually all works have concentrated on exploiting edge information to address this problem. We take a different route by introducing a new prior on reflectance, that models reflectance values as being drawn from a sparse set of basis colors. This results in a Random Field model with global, latent variables (basis colors) and pixel-accurate output reflectance values. We show that without edge information high-quality results can be achieved, that are on par with methods exploiting this source of information. Finally, we are able to improve on state-of-the-art results by integrating edge information into our model. We believe that our new approach is an excellent starting point for future developments in this field.},
	isbn = {9781618395993},
	author = {Gehler, Peter Vincent and Carsten Rother and Kiefel, Martin and Zhang, Lumin and Sch{\"o}lkopf, Bernhard}
}
@article {Lellmann2011csc,
	title = {Regularizers for Vector-Valued Data and Labeling Problems in Image Processing},
	journal = {Control Systems and Computers},
	volume = {2},
	year = {2011},
	pages = {43{\textendash}54},
	author = {Lellmann, J. and Schn{\"o}rr, C.}
}
@article {Breitenreicher-Lellmann-Schnoerr2011,
	title = {Sparse Template-Based Variational Image Segmentation},
	journal = {Advances in Adaptive Data Analysis},
	volume = {3},
	year = {2011},
	pages = {149-166},
	author = {Breitenreicher, Dirk and Lellmann, Jan and Christoph Schn{\"o}rr}
}
@article {Breitenreicher-Lellmann-Schnoerr2011,
	title = {Sparse Template-Based Variational Image Segmentation},
	journal = {Advances in Adaptive Data Analysis},
	volume = {3},
	year = {2011},
	pages = {149-166},
	author = {Breitenreicher, Dirk and Lellmann, Jan and Christoph Schn{\"o}rr}
}
@conference {lou_11_structured,
	title = {Structured Learning for Cell Tracking},
	booktitle = {NIPS 2011. Proceedings},
	year = {2011},
	note = {1},
	pages = {1296-1304},
	author = {Lou, X. and Fred A. Hamprecht},
	editor = {Shawe-Taylor, J. and Zemel, R.S. and Pereira, F.C.N. and Weinberger, K.Q. and Bartlett, P.}
}
@article {savchynskyy_11_study_supplement,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP
Labeling},
	journal = {IEEE International Conference on Computer Vision and Pattern Recognition
(CVPR), accepted as oral presentation},
	year = {2011},
	note = {1},
	pages = {1817 - 1823},
	doi = {10.1109/CVPR.2011.5995652},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {Savchynskyy-CVPR2011,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP Labeling},
	booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2011},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {Savchynskyy-CVPR2011,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP Labeling},
	booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2011},
	author = {Savchynskyy, B. and Kappes, J. H. and Schmidt, S. and Schn{\"o}rr, C.}
}
@article {Nowozin2011,
	title = {Supplementary Material : Decision Tree Fields},
	journal = {Iccv},
	year = {2011},
	author = {Nowozin, Sebastian and Sharp, Toby}
}
@conference {maier-hein2011,
	title = {Towards mobile augmented reality for on-patient visualization of medical images},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin (2011)},
	year = {2011},
	pages = {389--393},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Despite considerable technical and algorithmic developments related to the fields of medical image acquisition and processing in the past decade, the devices used for visualization of medical images have undergone rather minor changes. As anatomical information is typically shown on monitors provided by a radiological work station, the physician has to mentally transfer internal structures shown on the screen to the patient. In this work, we present a new approach to on-patient visualization of 3D medical images, which combines the concept of augmented reality (AR) with an intuitive interaction scheme. The method requires mounting a Time-of-Flight (ToF) camera to a portable display (e.g., a tablet PC). During the visualization process, the pose of the camera and thus the viewing direction of the user is continuously determined with a surface matching algorithm. By moving the device along the body of the patient, the physician gets the impression of being able to look directly into the human body. The concept can be used for intervention planning, anatomy teaching and various other applications that require intuitive visualization of 3D data.},
	doi = {10.1007/978-3-642-19335-4_80},
	author = {Lena Maier-Hein and A. M. Franz and M. Fangerau and Schmidt, Mirko and Alexander Seitel and Sven Mersmann and T. Kilgus and A. Groch and K. Yung and Thiago R. dos Santos and Hans-Peter Meinzer},
	editor = {H. Handels and J. Ehrhardt and Hans-Peter Meinzer and T. Tolxdorff and T. M. Deserno}
}
@article {becker_11_variational2,
	title = {Variational Adaptive Correlation Method for Flow Estimation},
	journal = {IEEE Transactions on Image Processing},
	volume = {21, 6},
	year = {2011},
	note = {1},
	pages = {3053 - 3065},
	doi = {10.1109/TIP.2011.2181524},
	author = {Florian Becker and Wieneke, B. and Stefania Petra and Schr{\"o}der, A. and Christoph Schn{\"o}rr}
}
@conference {lenzen_11_variational,
	title = {Variational Image Denoising with Adaptive Constraint Sets},
	booktitle = {Proceedings of the 3nd International Conference on Scale Space and
Variational Methods in Computer Vision 2011, in press},
	volume = {6667},
	year = {2011},
	note = {1},
	pages = {206-217},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-24785-9_18},
	author = {Frank Lenzen and Florian Becker and Lellmann, J. and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {becker_11_variational,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and
Camera Motion from Monocular High Speed Traffic Sequences},
	booktitle = {2011 IEEE International Conference on Computer Vision ICCV},
	year = {2011},
	note = {1},
	pages = {1692-1699},
	doi = {10.1109/ICCV.2011.6126432},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr},
	editor = {Metaxas, D. N. and Quan, L. and Van Gool, L. J. and Sanfeliu, A.}
}
@conference {Becker-et-al-11a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	booktitle = {2011 IEEE International Conference on Computer Vision (ICCV)},
	year = {2011},
	pages = {1692 -- 1699},
	doi = {10.1109/ICCV.2011.6126432},
	author = {Florian Becker and Frank Lenzen and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-11a,
	title = {Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences},
	booktitle = {2011 IEEE International Conference on Computer Vision (ICCV)},
	year = {2011},
	pages = {1692 {\textendash} 1699},
	doi = {10.1109/ICCV.2011.6126432},
	author = {Florian Becker and Lenzen, Frank and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@article {pfannmoeller_11_visualizing,
	title = {Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy},
	journal = {Nano Letters},
	volume = {11},
	year = {2011},
	pages = {3099-3107},
	doi = {10.1021/nl201078t},
	author = {Pfannm{\"o}ller, M. and Fl{\"u}gge, H. and Benner, G. and Wacker, I. and Christoph Sommer and Hanselmann, M. and Schmale, S. and Schmidt, H. and Fred A. Hamprecht and Rabe, T. and Kowalsky, W. and Schr{\"o}der, R.}
}
@mastersthesis {schaper2011,
	title = {Wave Height Estimation with Stereo Images of the Reflective Stereo Slope Gauge (RSSG)},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Julia Schaper}
}
@conference {maier-hein2010a,
	title = {Accounting for an-iso-tro-pic noise in fine registration of time-of-flight range data with high-resolution surface data},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010)},
	volume = {6361},
	year = {2010},
	pages = {251--258},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Time-of-Flight (ToF) sensors have become a considerable alternative to conventional surface acquisition techniques such as laser range scanning and stereo vision. Application of ToF cameras for the purpose of intra-operative registration requires matching of the noisy surfaces generated from ToF range data onto pre-interventionally acquired high-resolution surfaces. The contribution of this paper is two-fold: Firstly, we present a novel method for fine rigid registration of noisy ToF data with high-resolution surface meshes taking into account both, the noise characteristics of ToF cameras and the resolution of the target mesh. Secondly, we introduce an evaluation framework for assessing the performance of ToF registration methods based on physically realistic ToF range data generated from a virtual scence. According to experiments within the presented evaluation framework, the proposed method outperforms the standard ICP algorithm with respect to correspondence search and transformation computation, leading to a decrease in the target registration error (TRE) of more than 70\%.},
	doi = {10.1007/978-3-642-15705-9_31},
	author = {Lena Maier-Hein and Schmidt, Mirko and A. M. Franz and Thiago R. dos Santos and Alexander Seitel and Bernd J{\"a}hne and J. M. Fitzpatrick and Hans-Peter Meinzer}
}
@article {kreshuk_10_automated,
	title = {Automated detection and analysis of bimodal isotope peak distribution in H/D exchange mass spectrometry using HeXicon},
	journal = {International Journal of Mass Spectrometry},
	volume = {302},
	year = {2010},
	note = {1},
	pages = {125-131},
	doi = {10.1016/j.ijms.2010.08.025},
	author = {Anna Kreshuk and Stankiewicz, M. and Lou, X. and Kirchner, M. and Fred A. Hamprecht and Mayer, M. P.}
}
@mastersthesis {scheelen_10_automated,
	title = {Automated Quality Control in the Life Sciences},
	year = {2010},
	school = {University of Heidelberg},
	author = {Scheelen, C.}
}
@mastersthesis {stapf2010,
	title = {Bestimmung der dynamischen Oberfl{\"a}chenspannung mit Hilfe der Blasendruckmethode},
	year = {2010},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/17777},
	author = {Julian Stapf}
}
@article {kirchner_10_computational,
	title = {Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments},
	journal = {Bioinformatics},
	volume = {26 (1)},
	year = {2010},
	note = {1},
	pages = {77-83},
	doi = {10.1093/bioinformatics/btp607},
	author = {Kirchner, M. and B. Y. Renard and Ullrich K{\"o}the and Pappin, D. J. and Fred A. Hamprecht and Judith A. J. Steen and Steen, H.}
}
@techreport {Lellmann2010,
	title = {Continuous Multiclass Labeling Approaches and Algorithms},
	year = {2010},
	month = {Feb.},
	institution = {Univ. of Heidelberg},
	type = {Tech. Rep.},
	url = {http://www.ub.uni-heidelberg.de/archiv/10460/},
	author = {Lellmann, J. and Schn{\"o}rr, C.}
}
@article {lou_10_deuteration,
	title = {Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments},
	journal = {Bioinformatics},
	volume = {26(12)},
	year = {2010},
	note = {1},
	pages = {1535-1541},
	doi = {10.1093/bioinformatics/btq165},
	author = {Lou, X. and Kirchner, M. and B. Y. Renard and Ullrich K{\"o}the and Graf, C. and Lee, C. and Judith A. J. Steen and Steen, H. and Mayer, M. P. and Fred A. Hamprecht}
}
@conference {andres_10_empirical,
	title = {An Empirical Comparison of Inference Algorithms for Graphical Models
with Higher Order Factors Using OpenGM},
	booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
	number = {6376},
	year = {2010},
	note = {1},
	pages = {353-362},
	doi = {10.1007/978-3-642-15986-2_36},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@conference {Kappes-DAGM2010,
	title = {An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM},
	booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
	year = {2010},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@article {renard_10_estimating,
	title = {Estimating the Confidence of Peptide Identifications without Decoy Databases},
	journal = {Analytical Chemistry},
	year = {2010},
	note = {1},
	pages = {4314-4318},
	doi = {10.1021/ac902892j},
	author = {B. Y. Renard and Timm, W. and Kirchner, M. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {schmidt2010,
	title = {Exact modelling of time-of-flight cameras for optimal depth maps},
	booktitle = {International Conference on Computational Photography (ICCP) 2010},
	year = {2010},
	note = {Poster},
	author = {Schmidt, Mirko and Michael Erz and Klaus Zimmermann and Bernd J{\"a}hne}
}
@conference {Lellmann2010a,
	title = {Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6312},
	year = {2010},
	pages = {494--505},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Lellmann, J. and Breitenreicher, D. and Christoph Schn{\"o}rr},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {Lellmann2010a,
	title = {Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision},
	booktitle = {European Conference on Computer Vision (ECCV)},
	series = {LNCS},
	volume = {6312},
	year = {2010},
	pages = {494{\textendash}505},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Lellmann, J. and Breitenreicher, D. and Schn{\"o}rr, C.},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@article {boerner_10_from,
	title = {From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication},
	journal = {Biotechnology Journal},
	volume = {5},
	year = {2010},
	note = {1},
	pages = {39-49},
	doi = {10.1002/biot.200900226},
	author = {B{\"o}rner, K. and Hermle, J. and Christoph Sommer and Brown, N. P. and Knapp, B. and Glass, B. and Torralba, G. and Reymann, J. and Beil, N. and Beneke, J. and Pepperkok, R. and Schneider, R. and Ludwig, T.}
}
@conference {koethe_10_geometric,
	title = {Geometric Analysis of 3D Electron Microscopy Data},
	booktitle = {Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM)},
	year = {2010},
	note = {1},
	pages = {22-26},
	author = {Ullrich K{\"o}the and Bj{\"o}rn Andres and Thorben Kr{\"o}ger and Fred A. Hamprecht},
	editor = {Ullrich K{\"o}the and Montanvert, A. and Soille, P.}
}
@phdthesis {sommer_10_interactive,
	title = {Interactive Learning for the Analysis of Biomedical and Industrial Imagery},
	year = {2010},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Christoph Sommer}
}
@conference {jehle_10_learning,
	title = {Learning of Optimal Illumination for Material Classification},
	booktitle = {Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany},
	number = {6376/2010},
	year = {2010},
	note = {1},
	pages = {563-572},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-15986-2_57},
	author = {Markus Jehle and Christoph Sommer and Bernd J{\"a}hne},
	editor = {Goesele, M. and Roth, S. and Schiele, B. and Schindler, K. and Kuijper, A.}
}
@conference {jehle2010,
	title = {Learning of optimal illumination for material classification},
	booktitle = {Pattern Recognition},
	volume = {6376},
	year = {2010},
	pages = {563--572},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environments covering nearly the whole space of the upper hemisphere. The individual images of the illumination series span a high-dimensional feature space. Using a random forest classifier different materials, which vary in appearance (which itself depends on the patterns of incoming illumination), can be distinguished reliably. The associated Gini feature importance allows for determining the features which are most relevant for the classification result. By linking the features to illumination patterns a proposition about optimal lighting for defect detection can be made, which yields valuable information for the selection and placement of light sources.},
	doi = {10.1007/978-3-642-15986-2_57},
	author = {Markus Jehle and Christoph Sommer and Bernd J{\"a}hne},
	editor = {Goesele, Michael and Roth, Stefan and Schiele, Bernt and Schindler, Konrad and Kuijper, Arjan}
}
@article {kirchner_10_mgfp,
	title = {MGFp: An Open Mascot Generic Format Parser Library Implementation},
	journal = {Journal of Proteome Research},
	volume = {9 (5)},
	year = {2010},
	pages = {27622763},
	doi = {10.1021/pr100118f},
	author = {Kirchner, M. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {kappes_10_mrf,
	title = {MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6313},
	year = {2010},
	note = {1},
	pages = {735--747},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-15558-1_53},
	author = {J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {Kappes-ECCV2010,
	title = {MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6313},
	year = {2010},
	pages = {735--747},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {Kappes-ECCV2010,
	title = {MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {6313},
	year = {2010},
	pages = {735{\textendash}747},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	author = {Kappes, J. H. and Schmidt, S. and Schn{\"o}rr, C.},
	editor = {Daniilidis, K. and Maragos, P. and Paragios, N.}
}
@conference {lin2010,
	title = {Multi-frequency multi-sampling fluorescence lifetime imaging using a high-speed line-scan camera},
	booktitle = {Optics, Photonics, and Digital Technologies for Multimedia Applications, 12--15 April 2010, Brussels},
	volume = {7723},
	year = {2010},
	pages = {77231S},
	doi = {10.1117/12.854763},
	author = {Zhuang Lin and Michael Erz and Bernd J{\"a}hne},
	editor = {P. Schelkens and T. Ebrahimi and F. Truchetet and P. Saarikko and G. Cristobal}
}
@conference {Singaraju2010,
	title = {New appearance models for natural image matting},
	year = {2010},
	pages = {659{\textendash}666},
	abstract = {Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene{\textquoteright}s appearance is necessary. Existing methods that provide a closed form solution to this problem, assume that the colors of the foreground and background layers are locally linear. In this paper, we show that such models can be an overfit when the colors of the two layers are locally constant. We derive new closed form expressions in such cases, and show that our models are more compact than existing ones. In particular, the null space of our cost function is a subset of the null space constructed by existing approaches. We discuss the bias towards specific solutions for each formulation. Experiments on synthetic and real data confirm that our compact models estimate alpha mattes more accurately than existing techniques, without the need of additional user interaction.},
	doi = {10.1109/cvpr.2009.5206491},
	author = {Singaraju, Dheeraj and Carsten Rother and Rhemann, Christoph}
}
@article {lellmann_10_optimality,
	title = {Optimality Bounds for Variational Relaxations of Optimal Partition
Problems},
	year = {2010},
	note = {1},
	author = {Lellmann, J. and Frank Lenzen and Christoph Schn{\"o}rr}
}
@article {Vlasenko-Schnoerr-10,
	title = {Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates},
	journal = {IEEE Trans.~Image Proc.},
	volume = {19},
	number = {3},
	year = {2010},
	pages = {586-595},
	author = {Vlasenko, A. and Christoph Schn{\"o}rr}
}
@article {Vlasenko-Schnoerr-10,
	title = {Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates},
	journal = {IEEE Trans. Image Proc.},
	volume = {19},
	number = {3},
	year = {2010},
	pages = {586-595},
	author = {Vlasenko, A. and Schn{\"o}rr, C.}
}
@article {Breitenreicher-Schnoerr10,
	title = {Robust 3D object registration without explicit correspondence using geometric integration},
	journal = {Machine Vision and Applications},
	volume = {21},
	number = {5},
	year = {2010},
	pages = {601-611},
	doi = {10.1007/s00138-009-0227-6},
	url = {http://www.springerlink.com/content/g20710062l014241/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@article {Breitenreicher-Schnoerr10,
	title = {Robust 3D object registration without explicit correspondence using geometric integration},
	journal = {Machine Vision and Applications},
	volume = {21},
	number = {5},
	year = {2010},
	pages = {601-611},
	doi = {10.1007/s00138-009-0227-6},
	url = {http://www.springerlink.com/content/g20710062l014241/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr}
}
@article {Bergtholdt-et-al-IJCV-2010,
	title = {A Study of Parts-Based Object Class Detection Using Complete Graphs},
	journal = {Int.~J.~Comp.~Vision},
	volume = {87},
	number = {1-2},
	year = {2010},
	pages = {93-117},
	doi = {10.1007/s11263-009-0209-1},
	url = {http://www.springerlink.com/openurl.asp?genre=article\&id=doi:10.1007/s11263-009-0209-1},
	author = {Bergtholdt, Martin and J{\"o}rg H. Kappes and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@article {Bergtholdt-et-al-IJCV-2010,
	title = {A Study of Parts-Based Object Class Detection Using Complete Graphs},
	journal = {Int. J. Comp. Vision},
	volume = {87},
	number = {1-2},
	year = {2010},
	pages = {93-117},
	doi = {10.1007/s11263-009-0209-1},
	url = {http://www.springerlink.com/openurl.asp?genre=article\&id=doi:10.1007/s11263-009-0209-1},
	author = {Bergtholdt, Martin and Kappes, J{\"o}rg H. and Schmidt, Stefan and Christoph Schn{\"o}rr}
}
@article {Heitz-et-al-09,
	title = {Variational fluid flow measurements from image sequences: synopsis and perspectives},
	journal = {Exp.~Fluids},
	volume = {48},
	number = {3},
	year = {2010},
	note = {DOI 10.1007/s00348-009-0778-3},
	pages = {369-393},
	author = {Heitz, D. and M{\'e}min, E. and Christoph Schn{\"o}rr}
}
@article {Heitz-et-al-09,
	title = {Variational fluid flow measurements from image sequences: synopsis and perspectives},
	journal = {Exp. Fluids},
	volume = {48},
	number = {3},
	year = {2010},
	note = {DOI 10.1007/s00348-009-0778-3},
	pages = {369-393},
	author = {Heitz, D. and M{\'e}min, E. and Schn{\"o}rr, C.}
}
@incollection {beushausen2009,
	title = {2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications},
	volume = {106},
	year = {2009},
	pages = {155--164},
	publisher = {Springer},
	abstract = {Two-dimensional Molecular-Tagging-Velocimetry (2D-MTV) has been used to investigate velocity fields of liquid flow in a micro mixer. Optical tagging was realized by using caged dye. For the first time patterns were generated by structured laser illumination using optical masks. This allows the generation of nearly any imaginable pattern. The flow induced deformation of the optically written pattern is tracked by imaging of laser induced fluorescence. Quantitative analysis of raw image series is carried out by novel optical flow based techniques. A comparison to the standard technique of uPIV has also been conducted. Additionally Planar Spontaneous Raman Scattering (PSRS) was applied in order to determine concentration fields for mixtures of ethanol and water.},
	doi = {10.1007/978-3-642-01106-1_16},
	author = {Volker Beushausen and Karsten Roetmann and Waldemar Schmunk and Mike Wellhausen and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {W. Nitsche and C. Dobriloff}
}
@incollection {Petra-et-al-09a,
	title = {3D Tomography from Few Projections in Experimental Fluid Mechanics},
	volume = {106},
	year = {2009},
	pages = {63-72},
	publisher = {Springer},
	author = {Stefania Petra and Schr{\"o}der, A. and Christoph Schn{\"o}rr},
	editor = {W. Nitsche and C. Dobriloff}
}
@conference {Shesh2009,
	title = {3D-aware image editing for out of bounds photography},
	booktitle = {Proceedings - Graphics Interface},
	year = {2009},
	pages = {47{\textendash}54},
	abstract = {In this paper, we propose algorithms to manipulate 2D images in a way that is consistent with the 3D geometry of the scene that they capture. We present these algorithms in the context of creating "Out of Bounds" (OOB) images - compelling, depth-rich images generated from single, conventional 2D photographs (fig. 1). Starting from a single image our tool enables rapid OOB prototyping; i.e. the ability to quickly create and experiment with many different variants of the OOB effect before deciding which one best expresses the users{\textquoteright} artistic intentions. We achieve this with a flexible work-flow driven by an intuitive user interface. The rich 3D perception of the final composition is achieved by exploiting two strong cues - occlusions and shadows. A realistic-looking 3D frame is interactively inserted in the scene between segmented foreground objects and the background to generate novel occlusions and enhance the scene{\textquoteright}s perception of depth. This perception is further enhanced by adding new, realistic cast shadows. The key contributions of this paper are: (i) new algorithms for inserting simple 3D objects like frames in 2D images requiring minimal camera calibration, and (ii) new techniques for the realistic synthesis of cast shadows, even for complex 3D objects. These algorithms, although presented for OOB photography, may be directly used in general image composition tasks. With our tool, untrained users can turn ordinary photos into compelling OOB images in seconds. In contrast with existing workflows, at any time the artist can modify any aspect of the composition while avoiding time-consuming pixel painting operations. Such a tool has important commercial applications, and is much more suitable for OOB prototyping than existing image editors.},
	isbn = {9781568814704},
	issn = {07135424},
	url = {http://www.flickr.com/groups/oob/},
	author = {Shesh, Amit and Criminisi, Antonio and Carsten Rother and Smyth, Gavin}
}
@techreport {petra09b,
	title = {Accelerating Constrained SIRT with Applications in Tomographic Particle Image Reconstruction},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9477},
	author = {Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@incollection {jaehne2009,
	title = {Air-sea gas exchange},
	year = {2009},
	note = {invited},
	pages = {147-156},
	publisher = {Elsevier},
	abstract = {The exchange of inert and sparingly soluble gases, including carbon dioxide, methane, and oxygen, between the atmosphere and oceans is controlled by a 20-200 um-thick boundary layer at the top of the ocean. The hydrodynamics in this layer is significantly different from boundary layers at rigid walls since the orbital motion of the waves is of the same order as the velocities in the viscous boundary layer. Laboratory and field measurements show that wind waves and surfactants significantly influence the gas-transfer process. Because of limited experimental techniques, the details of the mechanisms and the structure of the turbulence in the boundary layer at a wavy water surface are still not known. A number of new imaging techniques are described which give direct insight into the transfer processes and promise to trigger substantial theoretical progress in the near future.},
	doi = {10.1016/B978-012374473-9.00642-1},
	author = {Bernd J{\"a}hne},
	editor = {John H. Steele and Karl K. Turekian and Steve A. Thorpe}
}
@article {goerlitz_09_allocation,
	title = {Allocation of particles to development processes},
	journal = {Patent},
	year = {2009},
	author = {G{\"o}rlitz, L. and Fred A. Hamprecht and Staudacher, M.}
}
@article {hansen2009bias,
	title = {Bias-correction of regression models: a case study on hERG inhibition},
	journal = {J. Chem. Inf. Model.},
	volume = {49},
	year = {2009},
	pages = {1486{\textendash}1496},
	doi = {http://dx.doi.org/10.1021/ci9000794},
	author = {Hansen, Katja and Rathke, Fabian and Schroeter, Timon and Rast, Georg and Fox, Thomas and Kriegl, Jan M and Mika, Sebastian}
}
@article {ozlu_09_binding,
	title = {Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition},
	journal = {Molecular \& Cellular Proteomics},
	year = {2009},
	note = {1},
	doi = {10.1074/mcp.M900308-MCP200},
	author = {Ozlu, N. and Monigatti, F. and B. Y. Renard and Field, C. M. and Steen, H. and Mitchison, T. J. and Judith Jebanthirajah Steen}
}
@conference {hoernlein2009,
	title = {Boosting shift-invariant features},
	booktitle = {Pattern Recognition},
	volume = {5748},
	year = {2009},
	pages = {121--130},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This work presents a novel method for training shift-invariant features using a Boosting framework. Features performing local convolutions followed by subsampling are used to achieve shift-invariance. Other systems using this type of features, e.g. Convolutional Neural Networks, use complex feed-forward networks with multiple layers. In contrast, the proposed system adds features one at a time using smoothing spline base classifiers. Feature training optimizes base classifier costs. Boosting sample-reweighting ensures features to be both descriptive and independent. Our system has a lower number of design parameters as comparable systems, so adapting the system to new problems is simple. Also, the stage-wise training makes it very scalable. Experimental results show the competitiveness of our approach.},
	doi = {10.1007/978-3-642-03798-6_13},
	author = {Thomas H{\"o}rnlein and Bernd J{\"a}hne and Herbert S{\"u}{\ss}e},
	editor = {Joachim Denzler and Gunther Notni}
}
@conference {kaster_09_classification,
	title = {Classification of Spectroscopic Images in the DIROlab Environment},
	booktitle = {World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany},
	volume = {25/V},
	number = {25050252},
	year = {2009},
	pages = {252--255},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03904-1_70},
	author = {F. O. Kaster and B. Michael Kelm and C. M. Zechmann and M.-A. Weber and Fred A. Hamprecht and Nix, O.},
	editor = {D{\"o}ssel, Olaf and Schlegel, Wolfgang C.}
}
@article {Yuan-et-al-JMIV-09,
	title = {Convex Hodge Decomposition and Regularization of Image Flows},
	journal = {J.~Math.~Imag.~Vision},
	volume = {33},
	number = {2},
	year = {2009},
	pages = {169-177},
	author = {Yuan, Jing and Christoph Schn{\"o}rr and Steidl, Gabriele}
}
@conference {lellmann_09_convex2,
	title = {Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	volume = {5567},
	year = {2009},
	note = {1},
	pages = {150-162},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-02256-2_13},
	author = {Lellmann, J. and J{\"o}rg H. Kappes and Yuan, J. and Florian Becker and Christoph Schn{\"o}rr and M{\'o}rken, K. and Lysaker, M.},
	editor = {Tai, X.-C. and Lie, K.-A.}
}
@conference {Lellmann-et-al-09a,
	title = {Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	volume = {5567},
	year = {2009},
	pages = {150-162},
	publisher = {Springer},
	organization = {Springer},
	author = {Lellmann, J. and J{\"o}rg H. Kappes and Yuan, J. and Florian Becker and Christoph Schn{\"o}rr},
	editor = {Tai, X.-C. and M{\'o}rken, K. and Lie, K.-A. and Lysaker, M.}
}
@conference {lellmann_09_convex,
	title = {Convex Optimization for Multi-Class Image Labeling with a Novel Family
of Total Variation Based Regularizers},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan},
	year = {2009},
	note = {1},
	pages = {646-653},
	doi = {10.1109/ICCV.2009.5459176},
	author = {Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@conference {Lellmann2009a,
	title = {Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers},
	booktitle = {IEEE International Conference on Computer Vision (ICCV)},
	year = {2009},
	pages = {646 -- 653},
	author = {Lellmann, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@conference {baehnisch_09_fast,
	title = {Fast and Accurate 3D Edge Detection for Surface Reconstruction},
	booktitle = {Pattern Recognition},
	volume = {5748},
	year = {2009},
	pages = {111-120},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03798-6},
	author = {B{\"a}hnisch, C. and Stelldinger, P. and Ullrich K{\"o}the}
}
@conference {nagel2009a,
	title = {First results from the 2009 SOPRAN active thermography pilot experiment in the Baltic Sea},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {To improve the parametrization of the transfer velocities a novel active thermography system was developed. At the end of SOPRAN 1 it has been deployed in a pilot experiment at the bow of the research vessel FS Alkor in the Baltic sea. A periodically varying heat flux is applied by a CO2-laser. The transfer velocity is estimated by the amplitude damping and phase shift of the temperature signal in the Fourier domain, gained from the infrared images of the water surface. First results are shown. The system will be used in the second phase of the SOPRAN project on a regular base. Together with eddy covariance measurements deployed from FINO 2, a significant improvement of the parametrization of the heat an gas transfer velocities can be expected.},
	author = {Leila Nagel and Uwe Schimpf and Bernd J{\"a}hne}
}
@article {thieke_09_framework,
	title = {A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy},
	journal = {Strahlentherapie und Onkologie},
	volume = {185},
	number = {Suppl. 1},
	year = {2009},
	pages = {81},
	author = {Thieke, C. and Nix, O. and Koehn, A. and Floca, R. and van Straaten, D. and Hahn, H. and Strauss, L. G. and Siems, U. and Graf, M. and Pruem, H. and Klein, J. and Laue, H. and F. O. Kaster}
}
@techreport {popa09,
	title = {On a general extending and constraining procedure for linear iterative methods},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9761},
	author = {Nicola, A. and Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@techreport {popa09,
	title = {On a general extending and constraining procedure for linear iterative methods},
	year = {2009},
	month = {August},
	institution = {IWR, University of Heidelberg},
	type = {Technical Report},
	url = {http://www.ub.uni-heidelberg.de/archiv/9761},
	author = {Nicola, A. and Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@conference {Lempitsky2009,
	title = {Image segmentation with a bounding box prior},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2009},
	pages = {277{\textendash}284},
	abstract = {User-provided object bounding box is a simple and popular interaction paradigm considered by many existing interactive image segmentation frameworks. However, these frameworks tend to exploit the provided bounding box merely to exclude its exterior from consideration and sometimes to initialize the energy minimization. In this paper, we discuss how the bounding box can be further used to impose a powerful topological prior, which prevents the solution from excessive shrinking and ensures that the user-provided box bounds the segmentation in a sufficiently tight way. The prior is expressed using hard constraints incorporated into the global energy minimization framework leading to an NP-hard integer program. We then investigate the possible optimization strategies including linear relaxation as well as a new graph cut algorithm called pinpointing. The latter can be used either as a rounding method for the fractional LP solution, which is provably better than thresholding-based rounding, or as a fast standalone heuristic. We evaluate the proposed algorithms on a publicly available dataset, and demonstrate the practical benefits of the new prior both qualitatively and quantitatively. {\textcopyright}2009 IEEE.},
	isbn = {9781424444205},
	doi = {10.1109/ICCV.2009.5459262},
	author = {Lempitsky, Victor and Kohli, Pushmeet and Carsten Rother and Sharp, Toby}
}
@conference {Breitenreicher-Schnoerr09a,
	title = {Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009)},
	volume = {5681},
	year = {2009},
	pages = {274-287},
	publisher = {Springer},
	organization = {Springer},
	url = {http://www.springerlink.com/content/1470n7577713069q/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr},
	editor = {Daniel Cremers and Boykov, Y. and Schmidt, F. R. and Blake, A.}
}
@conference {Breitenreicher-Schnoerr09a,
	title = {Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009)},
	series = {LNCS},
	volume = {5681},
	year = {2009},
	pages = {274-287},
	publisher = {Springer},
	organization = {Springer},
	url = {http://www.springerlink.com/content/1470n7577713069q/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr},
	editor = {Daniel Cremers and Boykov, Y. and Blake, A. and Schmidt, F. R.}
}
@conference {Singaraju2009,
	title = {New appearance models for natural image matting},
	booktitle = {2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009},
	volume = {2009 IEEE},
	year = {2009},
	pages = {659{\textendash}666},
	abstract = {Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene{\textquoteright}s appearance is necessary. Existing methods that provide a closed form solution to this problem, assume that the colors of the foreground and background layers are locally linear. In this paper, we show that such models can be an overfit when the colors of the two layers are locally constant. We derive new closed form expressions in such cases, and show that our models are more compact than existing ones. In particular, the null space of our cost function is a subset of the null space constructed by existing approaches. We discuss the bias towards specific solutions for each formulation. Experiments on synthetic and real data confirm that our compact models estimate alpha mattes more accurately than existing techniques, without the need of additional user interaction. {\textcopyright} 2009 IEEE.},
	isbn = {9781424439935},
	doi = {10.1109/CVPRW.2009.5206491},
	author = {Singaraju, Dheeraj and Carsten Rother and Rhemann, Christoph}
}
@conference {schmidt2009,
	title = {A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light},
	booktitle = {3rd Workshop on Dynamic 3-D Imaging},
	volume = {5742},
	year = {2009},
	pages = {1--15},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We have developed a physical model of continuous-wave Time-of-Flight cameras, which focuses on a realistic reproduction of the sensor data. The derived simulation gives the ability to simulate data acquired by a ToF system with low computational effort. The model is able to use an arbitrary optical excitation and to simulate the sampling of a target response by a two-tap sensor, which can use any switching function. Nonlinear photo response and pixel saturation, as well as spatial variations from pixel to pixel like photo response non-uniformity (PRNU) and dark signal non-uniformity (DSNU) can be modeled. Also the influence of interfering background light and on-sensor suppression of ambient light can be simulated. The model was verified by analyzing two scenarios: The cameras response to an increasing, homogeneous irradiation as well as the systematic phase deviation caused by higher harmonics of the optical excitation. In both scenarios the model gave a precise reproduction of the observed data.},
	doi = {10.1007/978-3-642-03778-8_1},
	author = {Schmidt, Mirko and Bernd J{\"a}hne},
	editor = {Reinhard Koch and Andreas Kolb}
}
@conference {meine_09_pixel,
	title = {Pixel Approximation Errors in Common Watershed Algorithms},
	booktitle = {Discrete Geometry for Computer Imagery},
	volume = {5810},
	year = {2009},
	note = {1},
	pages = {193-202},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-04397-0},
	author = {Meine, H. and Ullrich K{\"o}the and Stelldinger, P.}
}
@conference {meine_09_topological,
	title = {Pixel Approximation Errors in Common Watershed Algorithms},
	booktitle = {Discrete Geometry for Computer Imagery},
	volume = {5810},
	year = {2009},
	pages = {193-202},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-04397-0},
	author = {Meine, H. and Ullrich K{\"o}the and Stelldinger, P.}
}
@article {staudacher_09_selbstadaptivitaet,
	title = {Self Adjustment of Scanning Electron Microscopes / Selbstadaptivit{\"a}t von Rasterelektronenmikroskopen},
	journal = {Patent, Patent Number  WO2009062781A1},
	year = {2009},
	author = {Staudacher, M. and Fred A. Hamprecht and G{\"o}rlitz, L.}
}
@conference {lauer_09_spectral,
	title = {Spectral Clustering of Linear Subspaces for Motion Segmentation},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, in press},
	year = {2009},
	note = {1},
	pages = {678-685},
	doi = {10.1109/ICCV.2009.5459173},
	author = {Lauer, F. and Christoph Schn{\"o}rr}
}
@conference {Lauer-Schnoerr-09a,
	title = {Spectral Clustering of Linear Subspaces for Motion Segmentation},
	booktitle = {Proc.~IEEE Int.~Conf.~Computer Vision (ICCV{\textquoteright}09)},
	year = {2009},
	note = {accepted},
	author = {Lauer, F. and Christoph Schn{\"o}rr}
}
@conference {Lauer-Schnoerr-09a,
	title = {Spectral Clustering of Linear Subspaces for Motion Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Computer Vision (ICCV{\textquoteright}09)},
	year = {2009},
	note = {accepted},
	month = {Sept. 29-Oct. 2},
	address = {Kyoto, Japan},
	author = {Lauer, F. and Schn{\"o}rr, C.}
}
@techreport {Singaraju,
	title = {Supplementary material for New Appearance Models for Image Matting},
	year = {2009},
	author = {Singaraju, D and Carsten Rother and Rhemann, C}
}
@article {Shotton2009,
	title = {TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context},
	journal = {International Journal of Computer Vision},
	volume = {81},
	number = {1},
	year = {2009},
	pages = {2{\textendash}23},
	abstract = {This paper details a new approach for learning a discriminative model of object classes, incorporating texture, layout, and context information efficiently. The learned model is used for automatic visual understanding and semantic segmentation of photographs. Our discriminative model exploits texture-layout filters, novel features based on textons, which jointly model patterns of texture and their spatial layout. Unary classification and feature selection is achieved using shared boosting to give an efficient classifier which can be applied to a large number of classes. Accurate image segmentation is achieved by incorporating the unary classifier in a conditional random field, which (i) captures the spatial interactions between class labels of neighboring pixels, and (ii) improves the segmentation of specific object instances. Efficient training of the model on large datasets is achieved by exploiting both random feature selection and piecewise training methods. High classification and segmentation accuracy is demonstrated on four varied databases: (i) the MSRC 21-class database containing photographs of real objects viewed under general lighting conditions, poses and viewpoints, (ii) the 7-class Corel subset and (iii) the 7-class Sowerby database used in He et al. (Proceeding of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 695-702, June 2004), and (iv) a set of video sequences of television shows. The proposed algorithm gives competitive and visually pleasing results for objects that are highly textured (grass, trees, etc.), highly structured (cars, faces, bicycles, airplanes, etc.), and even articulated (body, cow, etc.). {\textcopyright} 2007 Springer Science+Business Media, LLC.},
	keywords = {Boosting, Conditional random field, Context, image understanding, Layout, Object recognition, Piecewise training, Segmentation, Semantic image segmentation, Textons, Texture},
	issn = {09205691},
	doi = {10.1007/s11263-007-0109-1},
	url = {http://jamie.shotton.org/work/code.html},
	author = {Shotton, Jamie and Winn, John and Carsten Rother and Criminisi, Antonio}
}
@techreport {petra09c,
	title = {TomoPIV meets Compressed Sensing},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9760},
	author = {Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Petra-Schnoerr-PUMA-10,
	title = {TomoPIV meets Compressed Sensing},
	journal = {Pure Math.~Appl.},
	volume = {20},
	number = {1-2},
	year = {2009},
	pages = {49 -- 76},
	url = {http://www.mat.unisi.it/newsito/puma/public_html/contents.php},
	author = {Stefania Petra and Christoph Schn{\"o}rr}
}
@techreport {petra09c,
	title = {TomoPIV meets Compressed Sensing},
	year = {2009},
	month = {August},
	institution = {IWR, University of Heidelberg},
	type = {Technical Report},
	url = {http://www.ub.uni-heidelberg.de/archiv/9760},
	author = {Petra, S. and Schn{\"o}rr, C.}
}
@article {Petra-Schnoerr-PUMA-10,
	title = {TomoPIV meets Compressed Sensing},
	journal = {Pure Math. Appl.},
	volume = {20},
	number = {1-2},
	year = {2009},
	pages = {49 {\textendash} 76},
	url = {http://www.mat.unisi.it/newsito/puma/public_html/contents.php},
	author = {Petra, S. and Schn{\"o}rr, C.}
}
@conference {gianniotis_09_topographic,
	title = {Topographic Mapping of Astronomical Light Curves via a Physically
Inspired Probabilistic Model},
	booktitle = {Proceedings of ICANN 2009},
	year = {2009},
	note = {1},
	pages = {567-576},
	doi = {10.1007/978-3-642-04274-4_59},
	author = {Gianniotis, N. and Ti\&ntilde;o, P. and Spreckley, S. and Raychaudhury, S.}
}
@conference {Yuan-et-al-09a,
	title = {Total-Variation Based Piecewise Affine Regularization},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	volume = {5567},
	year = {2009},
	pages = {552-564},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, Jing. and Christoph Schn{\"o}rr and Steidl, Gabriele},
	editor = {Tai, X.-C. and M{\'o}rken, K. and Lie, K.-A. and Lysaker, M.}
}
@conference {Yuan-et-al-09a,
	title = {Total-Variation Based Piecewise Affine Regularization},
	booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM 2009)},
	series = {LNCS},
	volume = {5567},
	year = {2009},
	pages = {552-564},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, Jing. and Christoph Schn{\"o}rr and Steidl, Gabriele},
	editor = {Tai, X.-C. and M{\'o}rken, K. and Lysaker, M. and Lie, K.-A.}
}
@booklet {jaehne2009b,
	title = {Transparency for Industrial Cameras and Sensors},
	year = {2009},
	url = {http://www.gitverlag.com/de/print/4/18/issues/2009/3381.html},
	author = {Bernd J{\"a}hne and Schwarzkopf, Patrick}
}
@conference {garbe2009a,
	title = {Transport of dust across the Sahara from satellite image sequence analysis},
	booktitle = {Eos Transactions},
	volume = {90},
	year = {2009},
	note = {Fall Meet. Suppl.},
	pages = {EP21A-0565},
	author = {Christoph S. Garbe and Flatow, F. and Klinger, M. and Schepanski, K. and Tegen, I. and Rannacher, R.}
}
@conference {garbe2009c,
	title = {Transport of Sahara dust into the Atlantic Ocean from satellite image sequence analysis},
	booktitle = {SOLAS Open Science Conference},
	year = {2009},
	pages = {27},
	abstract = {In this contribution, image processing techniques in conjunction with efficient numerical solvers will be used for measuring the transport of atmospheric dust originating in the Sahara to the Atlantic Ocean. Mineral dust aerosols are an important component of the Earth{\textquoteright}s climate system through a number of direct and indirect influences, and have a strong effect on terrestrial and oceanic biogeochemical cycles. We use Meteosat Second Generation (MSG) infra-red (IR) difference dust index images for visualizing dust plumes in the atmosphere. For every 15-minute scan the dust index is computed basing on the difference of the brightness temperatures measured by the Spinning enhanced Visible and Infra-Red Imager (SEVIRI) at the wavelengths centred at 8.7 m, 10.8 m and 12.0 m. Sinks and sources of the plumes are detected and trajectories computed. Newly developed techniques for computing optical flows and transport parameters are employed. Through the estimation of these transport parameters, dust deposition in the ocean can be quantified. We will present results for a wide range of events, highlighting the capabilities of our approach.},
	author = {Christoph S. Garbe and Flatow, F. and Klinger, M. and Schepanski, K. and Tegen, I. and Rannacher, R.}
}
@incollection {Vlasenko-Schnoerr-09a,
	title = {Variational Approaches for Model-Based PIV and Visual Fluid Analysis},
	volume = {106},
	year = {2009},
	pages = {247-256},
	publisher = {Springer},
	author = {Vlasenko, A. and Christoph Schn{\"o}rr},
	editor = {W. Nitsche and C. Dobriloff}
}
@incollection {Vlasenko-Schnoerr-09a,
	title = {Variational Approaches for Model-Based PIV and Visual Fluid Analysis},
	volume = {106},
	year = {2009},
	pages = {247-256},
	publisher = {Springer},
	author = {Vlasenko, A. and Schn{\"o}rr, C.},
	editor = {Nitsche, W. and C. Dobriloff}
}
@article {renard_09_when,
	title = {When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing},
	journal = {Proteomics},
	volume = {9},
	year = {2009},
	note = {1},
	pages = {4978-4984},
	doi = {10.1002/pmic.200900326},
	author = {B. Y. Renard and Kirchner, M. and Monigatti, F. and Ivanov, A. R. and Rappsilber, J. and Winter, D. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@article {banerjee2008,
	title = {An active thermographic technique for highly resolved heat transport measurements in paper drying},
	journal = {APPITA Journal},
	volume = {61},
	number = {3},
	year = {2008},
	pages = {244--249},
	abstract = {A novel measurement technique, based on infrared thermography, has been applied for characterizing the thermal properties of paper with high spatial resolution. The technique is referred to as {\textquoteright}active thermography{\textquoteright} since the temperature response of a paper sheet is observed and analysed with respect to an external periodic heating. Through the analysis of the temperature response of the paper surface in the Fourier domain for different modulation frequencies of incident heat flux, heat transfer velocities across the solid-gas interface can be estimated. This in turn results in estimation of the heat capacity of paper by solving the heat balance equations of the system. The thermal heating is applied spatially homogeneously. Therefore all these calculations are performed for all pixels in the image sequence. The spatial distribution and temporal development of all these parameters were visualized. The technique shows high potential for non-invasive dynamic measurements in paper drying.},
	url = {http://search.informit.com.au/documentSummary;dn=113990239180698;res=IELHSS},
	author = {D. Banerjee and Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne and S. Schabel}
}
@conference {Gehler2008,
	title = {Bayesian color constancy revisited},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {Computational color constancy is the task of estimating the true reflectances of visible surfaces in an image. In this paper we follow a line of research that assumes uniform illumination of a scene, and that the principal step in estimating reflectances is the estimation of the scene illuminant. We review recent approaches to illuminant estimation, firstly those based on formulae for normalisation of the reflectance distribution in an image - so-called grey-world algorithms, and those based on a Bayesian formulation of image formation. In evaluating these previous approaches we introduce a new tool in the form of a database of 568 high-quality, indoor and outdoor images, accurately labelled with illuminant, and preserved in their raw form, free of correction or normalisation. This has enabled us to establish several properties experimentally. Firstly automatic selection of grey-world algorithms according to image properties is not nearly so effective as has been thought. Secondly, it is shown that Bayesian illuminant estimation is significantly improved by the improved accuracy of priors for illuminant and reflectance that are obtained from the new dataset. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587765},
	author = {Gehler, Peter Vincent and Carsten Rother and Blake, Andrew and Minka, Tom and Sharp, Toby}
}
@article {Szeliski2008,
	title = {A comparative study of energy minimization methods for Markov random fields with smoothness-based priors},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {30},
	number = {6},
	year = {2008},
	pages = {1068{\textendash}1080},
	publisher = {Springer-Verlag},
	abstract = {Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation. It has been known for decades that such problems can be elegantly expressed as Markov random fields, yet the resulting energy minimization problems have been widely viewed as intractable. Recently, algorithms such as graph cuts and loopy belief propagation (LBP) have proven to be very powerful: for example, such methods form the basis for almost all the top-performing stereo methods. However, the tradeoffs among different energy minimization algorithms are still not well understood. In this paper we describe a set of energy minimization benchmarks and use them to compare the solution quality and running time of several common energy minimization algorithms. We investigate three promising recent methods graph cuts, LBP, and tree-reweighted message passing in addition to the well-known older iterated conditional modes (ICM) algorithm. Our benchmark problems are drawn from published energy functions used for stereo, image stitching, interactive segmentation, and denoising. We also provide a general-purpose software interface that allows vision researchers to easily switch between optimization methods. Benchmarks, code, images, and results are available at http://vision.middlebury.edu/ MRF/. {\textcopyright} 2008 IEEE.},
	keywords = {Belief propagation, Global optimization, Graph Cuts, Markov random fields, Performance evaluation},
	issn = {01628828},
	doi = {10.1109/TPAMI.2007.70844},
	url = {http://vision.middlebury.edu/MRF.},
	author = {Szeliski, Richard and Zabih, Ramin and Scharstein, Daniel and Veksler, Olga and Kolmogorov, Vladimir and Agarwala, Aseem and Tappen, Marshall and Carsten Rother}
}
@article {Szeliski2008a,
	title = {A comparative study of energy minimization methods for Markov random fields with smoothness-based priors},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {30},
	number = {6},
	year = {2008},
	month = {jun},
	pages = {1068{\textendash}1080},
	abstract = {Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation. It has been known for decades that such problems can be elegantly expressed as Markov random fields, yet the resulting energy minimization problems have been widely viewed as intractable. Recently, algorithms such as graph cuts and loopy belief propagation (LBP) have proven to be very powerful: for example, such methods form the basis for almost all the top-performing stereo methods. However, the tradeoffs among different energy minimization algorithms are still not well understood. In this paper we describe a set of energy minimization benchmarks and use them to compare the solution quality and running time of several common energy minimization algorithms. We investigate three promising recent methods graph cuts, LBP, and tree-reweighted message passing in addition to the well-known older iterated conditional modes (ICM) algorithm. Our benchmark problems are drawn from published energy functions used for stereo, image stitching, interactive segmentation, and denoising. We also provide a general-purpose software interface that allows vision researchers to easily switch between optimization methods. Benchmarks, code, images, and results are available at http://vision.middlebury.edu/ MRF/. {\textcopyright} 2008 IEEE.},
	keywords = {Belief propagation, Global optimization, Graph Cuts, Markov random fields, Performance evaluation},
	issn = {01628828},
	doi = {10.1109/TPAMI.2007.70844},
	author = {Szeliski, Richard and Zabih, Ramin and Scharstein, Daniel and Veksler, Olga and Kolmogorov, Vladimir and Agarwala, Aseem and Tappen, Marshall and Carsten Rother}
}
@conference {Fundana-Heyden-Gosch-Schnoerr-2008,
	title = {Continuous Graph Cuts for Prior-Based Object Segmentation},
	booktitle = {19th Int.~Conf.~Patt.~Recog.~(ICPR)},
	year = {2008},
	pages = {1--4},
	author = {Fundana, Ketut and Heyden, Anders and Gosch, Christian and Christoph Schn{\"o}rr}
}
@conference {Yuan-et-al-2008b,
	title = {Convex Hodge Decomposition of Image Flows},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {416--425},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Yuan, Jing and Steidl, Gabriele and Christoph Schn{\"o}rr}
}
@techreport {Lellmann2008,
	title = {Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation},
	year = {2008},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/8759/},
	author = {Lellmann, J. and J{\"o}rg H. Kappes and Yuan, J. and Florian Becker and Christoph Schn{\"o}rr}
}
@conference {becker_08_decomposition,
	title = {Decomposition of Quadratric Variational Problems},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	note = {1},
	pages = {325--334},
	author = {Florian Becker and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08a,
	title = {Decomposition of Quadratric Variational Problems},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {325--334},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Florian Becker and Christoph Schn{\"o}rr}
}
@article {steen_08_different,
	title = {Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis},
	journal = {Proceedings of the National Academy of Sciences},
	volume = {105},
	number = {16},
	year = {2008},
	note = {1},
	pages = {6069-6074},
	doi = {10.1073/pnas.0709807104},
	author = {Judith A. J. Steen and Steen, H. and Georgi, A. and Kenneth C. Parker and Springer, M. and Kirchner, M. and Fred A. Hamprecht and Kirschner, M. W.}
}
@article {scholz2008,
	title = {Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation},
	journal = {Exp. Fluids},
	volume = {45},
	number = {4},
	year = {2008},
	pages = {583--593},
	abstract = {A concept for dynamic mixture formation investigations of fuel/air mixtures is presented which can equally be applied to several other laser induced fluorescence (LIF) applications. Double-pulse LIF imaging was used to gain insight into dynamic mixture formation processes. The setup consists of a modified standard PIV setup. The "fuel/air ratio measurement by laser induced fluorescence (FARLIF)" approach is used for a quantification of the LIF images in order to obtain pairs of 2D fuel/air ratio maps. Two different evaluation concepts for LIF double pulse images are discussed. The first is based on the calculation of the temporal derivative field of the fuel/air ratio distribution. The result gives insight into the dynamic mixing process, showing where and how the mixture is changing locally. The second concept uses optical flow methods in order to estimate the motion of fluorescence (i.e., mixture) structures to gain insight into the dynamics, showing the distortion and the motion of the inhomogeneous mixture field. For this "fluorescence motion analysis" (FMA) two different evaluation approaches the "variational gradient based approach" and the "variational cross correlation based approach" are presented. For the validation of both, synthetic LIF image pairs with predefined motion fields were generated. Both methods were applied and the results compared with the known original motion field. This validation shows that FMA yields reliable results even for image pairs with low signal/noise ratio. Here, the "variational gradient based approach" turned out to be the better choice so far. Finally, the experimental combination of double-pulse FARLIF imaging with FMA and simultaneous PIV measurement is demonstrated. The comparison of the FMA motion field and the flow velocity field captured by PIV shows that both results basically reflect complementary information of the flow field. It is shown that the motion field of the fluorescence structures does not (necessarily) need to represent the actual flow velocity and that the flow velocity field alone can not illustrate the structure motion in any case. Therefore, the simultaneous measurement of both gives the deepest insight into the dynamic mixture formation process. The examined concepts and evaluation approaches of this paper can easily be adapted to various other planar LIF methods (with the LIF signal representing, e.g., species concentration, temperature, density etc.) broadening the insight for a wide range of different dynamic processes.},
	doi = {10.1007/s00348-008-0537-x},
	author = {J. Scholz and T. Wiersbinski and Paul Ruhnau and Daniel Kondermann and Christoph S. Garbe and R. Hain and Volker Beushausen}
}
@conference {petra-wmm08,
	title = {Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods},
	booktitle = {Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08)},
	year = {2008},
	month = {Oct. 22-Oct. 25},
	publisher = {Ed Acad Romane, Bucuresti},
	organization = {Ed Acad Romane, Bucuresti},
	address = {Constanta, Romania},
	author = {Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@conference {Petra-et-al-08b,
	title = {Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods},
	booktitle = {Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08)},
	series = {Ed Acad Romane},
	year = {2008},
	address = {Bucharest, Romania},
	author = {Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@techreport {Petra-et-al08b,
	title = {Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction},
	year = {2008},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/8798/},
	author = {Stefania Petra and Popa, Constantin and Christoph Schn{\"o}rr}
}
@techreport {Petra-et-al08b,
	title = {Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction},
	year = {2008},
	month = {November},
	institution = {IWR, University of Heidelberg},
	type = {Technical Report},
	url = {http://www.ub.uni-heidelberg.de/archiv/8798/},
	author = {Stefania Petra and Constantin Popa and Christoph Schn{\"o}rr}
}
@conference {Rhemann2008a,
	title = {High resolution matting via interactive trimap segmentation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {We present a new approach to the matting problem which splits the task into two steps: interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain considerably in terms of speed and quality and are able to deal with high resolution images. This paper has three contributions: (i) a new trimap segmentation method using parametric max-flow; (ii) an alpha matting technique for high resolution images with a new gradient preserving prior on alpha; (iii) a database of 27 ground truth alpha mattes of still objects, which is considerably larger than previous databases and also of higher quality. The database is used to train our system and to validate that both our trimap extraction and our matting method improve on state-of-the-art techniques. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587441},
	author = {Rhemann, Christoph and Carsten Rother and Rav-Acha, Alex and Sharp, Toby}
}
@conference {Rhemann2008b,
	title = {High resolution matting via interactive trimap segmentation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {We present a new approach to the matting problem which splits the task into two steps: interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain considerably in terms of speed and quality and are able to deal with high resolution images. This paper has three contributions: (i) a new trimap segmentation method using parametric max-flow; (ii) an alpha matting technique for high resolution images with a new gradient preserving prior on alpha; (iii) a database of 27 ground truth alpha mattes of still objects, which is considerably larger than previous databases and also of higher quality. The database is used to train our system and to validate that both our trimap extraction and our matting method improve on state-of-the-art techniques. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587441},
	author = {Rhemann, Christoph and Carsten Rother and Rav-Acha, Alex and Sharp, Toby}
}
@conference {Rhemann2008c,
	title = {High resolution matting via interactive trimap segmentation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {We present a new approach to the matting problem which splits the task into two steps: interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain considerably in terms of speed and quality and are able to deal with high resolution images. This paper has three contributions: (i) a new trimap segmentation method using parametric max-flow; (ii) an alpha matting technique for high resolution images with a new gradient preserving prior on alpha; (iii) a database of 27 ground truth alpha mattes of still objects, which is considerably larger than previous databases and also of higher quality. The database is used to train our system and to validate that both our trimap extraction and our matting method improve on state-of-the-art techniques. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587441},
	author = {Rhemann, Christoph and Carsten Rother and Rav-Acha, Alex and Sharp, Toby}
}
@booklet {schmidtm2008,
	title = {How to perform camera measurements according to the EMVA 1288 Standard.},
	year = {2008},
	author = {Schmidt, M.}
}
@conference {Kappes-et-al-08,
	title = {MAP-Inference for Highly-Connected Graphs with DC-Programming},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {1--10},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Kappes-et-al-08,
	title = {MAP-Inference for Highly-Connected Graphs with DC-Programming},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {1{\textendash}10},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Kappes, J. H. and Schn{\"o}rr, C.}
}
@conference {garbe2008c,
	title = {Measuring momentum transport directly at the air water interface from active infrared thermography},
	booktitle = {Geophysical Research Abstracts},
	year = {2008},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne}
}
@article {staudacher_08_method,
	title = {Method for processing an intensity image of a microscope},
	journal = {Patent, Patent Number: WO2008034721A1},
	year = {2008},
	author = {Staudacher, M. and Fred A. Hamprecht and G{\"o}rlitz, L.}
}
@article {roetmann2007,
	title = {Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering},
	journal = {Exp. Fluids},
	volume = {44},
	year = {2008},
	pages = {419--430},
	abstract = {The two dimensional Molecular Tagging Velocimetry (2D-MTV) was used to measure velocity fields of the flow in a micro mixer. Instead of commonly used micro particles an optical tagging of the flow was performed by using a caged dye. The flow induces a deformation of the optically written pattern that can be tracked by laser induced fluorescence. The series of raw images gained this way were analyzed quantitatively with a novel optical flow based technique. Reference measurements have been carried out allowing to draw conclusions about the accuracy of this procedure. A comparison to the standard technique of uPIV was also conducted. Apart from measuring flow velocities in microfluidic mixing processes, the spatial distribution of concentration fields for different species were also measured. To this end, a new technique has been developed that allows spatial measurements from Planar Spontaneous Raman Scattering (PSRS). The Raman stray light of the relevant species was spectrally selected by a narrow bandpass filter and thus detected unaffectedly by the Raman stray light of other species. The successful operation of this measurement procedure in micro flows will be demonstrated exemplary for a mixing process of water and ethanol.},
	doi = {10.1007/s00348-007-0420-1},
	author = {Karsten Roetmann and Waldemar Schmunk and Christoph S. Garbe and Volker Beushausen}
}
@article {renard_08_nitpick,
	title = {NITPICK: Peak Identification for Mass Spectrometry Data},
	journal = {BMC Bioinformatics},
	volume = {9},
	year = {2008},
	pages = {355},
	doi = {10.1186/1471-2105-9-355},
	author = {B. Y. Renard and Kirchner, M. and Steen, H. and Judith A. J. Steen and Fred A. Hamprecht}
}
@incollection {garbe_08_nonlinear,
	title = {Nonlinear Analysis of Multi-Dimensional Signals},
	year = {2008},
	note = {1},
	pages = {231-288},
	publisher = {Springer},
	doi = {10.1007/978-3-540-75632-3_7},
	author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Schuchert, T. and Hanno Scharr and Til Aach and Erhardt Barth},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@incollection {garbe2008,
	title = {Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns},
	year = {2008},
	pages = {231-288},
	publisher = {Springer},
	abstract = {We consider the general task of accurately detecting and quantifying orientations in n-dimensional signals s. The main emphasis will be placed on the estimation of motion, which can be thought of as orientation in spatiotemporal signals. Associated problems such as the optimization of matched kernels for deriving isotropic and highly accurate gradients from the signals, optimal integration of local models, and local model selection will also be addressed.},
	doi = {10.1007/978-3-540-75632-3_7},
	author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Tobias Schucher and Hanno Scharr and Til Aach and Erhardt Barth},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@mastersthesis {schmidt2008b,
	title = {Optische Methoden zur Form- und Positionserkennung von K{\"o}rpern in Werkzeugmaschinen},
	year = {2008},
	school = {Fried-rich-Schil-ler-Uni-ver-si-t{\"a}t Je-na},
	author = {Schmidt, Mirko}
}
@conference {Kohli2008,
	title = {On partial optimality in multi-label MRFs},
	booktitle = {Proceedings of the 25th International Conference on Machine Learning},
	year = {2008},
	pages = {480{\textendash}487},
	abstract = {We consider the problem of optimizing multilabel MRFs, which is in general NP-hard and ubiquitous in low-level computer vision. One approach for its solution is to formulate it as an integer linear programming and relax the integrality constraints. The approach we consider in this paper is to first convert the multi-label MRF into an equivalent binary-label MRF and then to relax it. The resulting relaxation can be efficiently solved using a maximum flow algorithm. Its solution provides us with a partially optimal labelling of the binary variables. This partial labelling is then easily transferred to the multi-label problem. We study the theoretical properties of the new relaxation and compare it with the standard one. Specifically, we compare tightness, and characterize a subclass of problems where the two relaxations coincide. We propose several combined algorithms based on the technique and demonstrate their performance on challenging computer vision problems. Copyright 2008 by the author(s)/owner(s).},
	isbn = {9781605582054},
	doi = {10.1145/1390156.1390217},
	author = {Kohli, Pushmeet and Shekhovtsov, Alexander and Carsten Rother and Kolmogorov, Vladimir and Torr, Philip}
}
@mastersthesis {sauer_08_pattern,
	title = {Pattern Recognition on Statistically Textured Surfaces},
	year = {2008},
	school = {University of Heidelberg},
	author = {Sauer, P.}
}
@article {Munder-et-al-08,
	title = {Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models},
	journal = {IEEE Trans. Intell. Transp. Systems},
	volume = {9},
	year = {2008},
	pages = {333-343},
	author = {Munder, S. and Schn{\"o}rr, C. and Gavrila, D. M.}
}
@conference {Vlasenko-et-al-08a,
	title = {Physically Consistent Variational Denoising of Image Fluid Flow Estimates},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {406--415},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Vlasenko, A. and Christoph Schn{\"o}rr}
}
@conference {Vlasenko-et-al-08a,
	title = {Physically Consistent Variational Denoising of Image Fluid Flow Estimates},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {406{\textendash}415},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Vlasenko, A. and Schn{\"o}rr, C.}
}
@article {schmidt2008a,
	title = {Range flow estimation based on photonic mixing device data},
	journal = {Int. J. Intelligent Systems Technologies and Applications},
	volume = {5},
	year = {2008},
	pages = {380--392},
	abstract = {We present techniques for computing 3D velocity fields from range data acquired with cameras working on the principles of modulation based Time-Of-Flight measurement. We derive a new variant of the range flow constraint equation that directly incorporates the transformation from sensor to world coordinate system. The presented techniques are applied to a number of range sequences with ground truth and the acquired motion estimation results are discussed.},
	doi = {10.1504/IJISTA.2008.021301},
	author = {Schmidt, Martin and Markus Jehle and Bernd J{\"a}hne}
}
@article {koenig_08_robust,
	title = {Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics},
	journal = {Journal of Proteome Research},
	volume = {7},
	number = {9},
	year = {2008},
	note = {1},
	pages = {3708-3717},
	doi = {10.1021/pr700859x},
	author = {K{\"o}nig, T. and Bjoern H. Menze and Kirchner, M. and Monigatti, F. and Kenneth C. Parker and Patterson, T. and Judith Jebanthirajah Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {Petra-et-al-08,
	title = {On Sparsity Maximization in Tomographic Particle Image Reconstruction},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {294--303},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Stefania Petra and Schr{\"o}der, A. and Wieneke, B. and Christoph Schn{\"o}rr}
}
@conference {Petra-et-al-08,
	title = {On Sparsity Maximization in Tomographic Particle Image Reconstruction},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {294{\textendash}303},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Petra, S. and Schr{\"o}der, A. and Wieneke, B. and Schn{\"o}rr, C.}
}
@phdthesis {schmidt2008,
	title = {Spatiotemporal Analysis of Range Imagery},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, University of Heidelberg},
	abstract = {The present thesis handles the topic of how to determine the three dimensional motion field from a corresponding sequence of range images. We investigate signals given by range cameras that are based on the time-of-flight principle for which they employ the novel optoelectronic photonic-mixer-device (PMD). Its signal comprises information about the range, the mean radiant flux and its modulation amplitude. We discuss how to take advantage of this wealth of information. The estimation of a motion field from image sequences is an ill-posed inverse problem which can not be solved in general. Moreover, the spatiotemporal signal of a PMD-camera is corrupted by several kind of, partially rather specific, errors of systematic and statistical nature depending explicitly on time and space (motion-artifacts). We analyze those errors and develop a method to correct for systematic errors in the range signal. By means of a novel two-state-channel-smoothing we improve range images corrupted by noise and outliers. We use and extend the structure tensor approach to come for the first time to an improved motion estimate that exploits the PMD-signal and provides an inherent measure for its confidence. The presented algorithms were developed under the premise to be of a computational complexity that not forbids their application within an embedded system. They are tested on synthetic and real images and image sequences.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8879/},
	author = {Schmidt, Martin}
}
@article {meine_08_topological,
	title = {A Topological Sampling Theorem for Robust Boundary Reconstruction
and Image Segmentation},
	journal = {Discrete Applied Mathematics},
	volume = {157},
	number = {3},
	year = {2008},
	pages = {524-541},
	doi = {10.1016/j.dam.2008.05.031},
	author = {Meine, H. and Ullrich K{\"o}the and Stelldinger, P.}
}
@conference {becker_08_variational,
	title = {A Variational Approach to Adaptive Correlation for Motion Estimation
in Particle Image Velocimetry"},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	note = {1},
	pages = {335-344},
	author = {Florian Becker and Wieneke, B. and Yuan, J. and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08b,
	title = {A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry},
	booktitle = {Pattern Recognition -- 30th DAGM Symposium},
	volume = {5096},
	year = {2008},
	pages = {335--344},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08b,
	title = {A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry},
	booktitle = {Pattern Recognition {\textendash} 30th DAGM Symposium},
	series = {lncs},
	volume = {5096},
	year = {2008},
	pages = {335{\textendash}344},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {becker_08_variational2,
	title = {Variational Correlation Approach to Flow Measurement with Window
Adaption},
	booktitle = {14th International Symposium on Applications of Laser Techniques
to Fluid Mechanics},
	year = {2008},
	note = {1},
	pages = {1.1.8},
	author = {Florian Becker and Wieneke, B. and Yuan, J. and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08c,
	title = {Variational Correlation Approach to Flow Measurement with Window Adaption},
	booktitle = {14th International Symposium on Applications of Laser Techniques to Fluid Mechanics},
	year = {2008},
	pages = {1.1.3},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {Becker-et-al-08c,
	title = {Variational Correlation Approach to Flow Measurement with Window Adaption},
	booktitle = {14th International Symposium on Applications of Laser Techniques to Fluid Mechanics},
	year = {2008},
	pages = {1.1.3},
	author = {Florian Becker and Wieneke, Bernhard and Yuan, Jing and Christoph Schn{\"o}rr}
}
@conference {Gosch-Fundana-Heyden-Schnoerr-2008,
	title = {View Point Tracking of Rigid Object Based on Shape Sub-Manifolds},
	booktitle = {Computer Vision -- ECCV 2008},
	volume = {5302},
	year = {2008},
	pages = {251--263},
	publisher = {Springer},
	organization = {Springer},
	author = {Gosch, Christian and Fundana, Ketut and Heyden, Anders and Christoph Schn{\"o}rr}
}
@conference {Gosch-Fundana-Heyden-Schnoerr-2008,
	title = {View Point Tracking of Rigid Object Based on Shape Sub-Manifolds},
	booktitle = {Computer Vision {\textendash} ECCV 2008},
	series = {lncs},
	volume = {5302},
	year = {2008},
	pages = {251{\textendash}263},
	publisher = {Springer},
	organization = {Springer},
	author = {Gosch, Christian and Fundana, Ketut and Heyden, Anders and Christoph Schn{\"o}rr}
}
@conference {banerjee2007b,
	title = {An active thermographic technique for highly resolved heat transport measurements in paper drying},
	booktitle = {61st Appita Annual Conference Proceedings},
	year = {2007},
	pages = {161-167},
	publisher = {APPITA},
	organization = {APPITA},
	author = {D. Banerjee and Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne and S. Schabel}
}
@conference {kondermann2007,
	title = {An adaptive confidence measure for optical flows based on linear subspace projections},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	volume = {4713},
	year = {2007},
	pages = {132--141},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used confidence measures, which have been found of at best intermediate quality. Hence, we propose a new confidence measure based on linear subspace projections. The results are compared to the best previously proposed confidence measures with respect to an optimal confidence. Using the proposed measure we are able to improve previous results by up to 31\%.},
	doi = {10.1007/978-3-540-74936-3_14},
	author = {Claudia Kondermann and Daniel Kondermann and Bernd J{\"a}hne and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@conference {garbe2007b,
	title = {Aktive Thermografie f{\"u}r die Untersuchung von Transportprozessen},
	booktitle = {Thermografie-Kolloquium},
	year = {2007},
	pages = {1--8},
	publisher = {Deutsche Gesellschaft f{\"u}r Zerst{\"o}rungsfreie Pr{\"u}fung e.V.},
	organization = {Deutsche Gesellschaft f{\"u}r Zerst{\"o}rungsfreie Pr{\"u}fung e.V.},
	author = {Christoph S. Garbe and D. Banerjee and Uwe Schimpf and Bernd J{\"a}hne}
}
@article {kirchner_07_amsrpm,
	title = {amsrpm: Robust Point Matching in Retention Time Alignment of LC/MS Data with R},
	journal = {Journal of Statistical Software},
	volume = {18},
	number = {4},
	year = {2007},
	note = {1},
	pages = {1-12},
	url = {http://www.jstatsoft.org/v18/i04/paper},
	author = {Kirchner, M. and Saussen, B. and Steen, H. and Judith A. J. Steen and Fred A. Hamprecht}
}
@book {jaehne2007a,
	title = {Complex Motion, Proceedings of the 1st Workshop, G{\"u}nzburg, October 2004},
	volume = {3417},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-69866-1},
	author = {Bernd J{\"a}hne},
	editor = {Mester, R. and Hanno Scharr and Erhardt Barth}
}
@article {Yuan-et-al-jmiv-06,
	title = {Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation},
	journal = {J.~Math.~Imag.~Vision},
	volume = {28},
	year = {2007},
	pages = {67-80},
	author = {Yuan, J. and Christoph Schn{\"o}rr and M{\'e}min, E.}
}
@conference {Sellen2007,
	title = {Do life-logging technologies support memory for the past? An experimental study using sensecam},
	booktitle = {Conference on Human Factors in Computing Systems - Proceedings},
	year = {2007},
	pages = {81{\textendash}90},
	abstract = {We report on the results of a study using SenseCam, a "life- logging" technology in the form of a wearable camera, which aims to capture data about everyday life in order to support people{\textquoteright}s memory for past, personal events. We find evidence that SenseCam images do facilitate people{\textquoteright}s ability to connect to their past, but that images do this in different ways. We make a distinction between "remembering" the past, and "knowing" about it, and provide evidence that SenseCam images work differently over time in these capacities. We also compare the efficacy of user-captured images with automatically captured images and discuss the implications of these findings and others for how we conceive of and make claims about life-logging technologies. {\textcopyright} Copyright 2007 ACM.},
	keywords = {Capture, Episodic or autobiographical memory, Images, Life-logging, Personal digital archives, SenseCam},
	isbn = {1595935932},
	doi = {10.1145/1240624.1240636},
	author = {Sellen, Abigail and Fogg, Andrew and Aitken, Mike and Hodges, Steve and Carsten Rother and Wood, Ken}
}
@conference {scholz2007,
	title = {Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation},
	booktitle = {7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept.},
	year = {2007},
	author = {J. Scholz and T. Wiersbinski and Paul Ruhnau and Daniel Kondermann and Christoph S. Garbe and R. Hain and Volker Beushausen}
}
@article {Criminisi2007,
	title = {Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming},
	journal = {International Journal of Computer Vision},
	volume = {71},
	number = {1},
	year = {2007},
	pages = {89{\textendash}110},
	publisher = {Kluwer Academic Publishers},
	abstract = {A new algorithm is proposed for efficient stereo and novel view synthesis. Given the video streams acquired by two synchronized cameras the proposed algorithm synthesises images from a virtual camera in arbitrary position near the physical cameras. The new technique is based on an improved, dynamic-programming, stereo algorithm for efficient novel view generation. The two main contributions of this paper are: (i) a new four state matching graph for dense stereo dynamic programming, that supports accurate occlusion labelling; (ii) a compact geometric derivation for novel view synthesis by direct projection of the minimum cost surface. Furthermore, the paper presents an algorithm for the temporal maintenance of a background model to enhance the rendering of occlusions and reduce temporal artefacts (flicker); and a cost aggregation algorithm that acts directly in the three-dimensional matching cost space. The proposed algorithm has been designed to work with input images with large disparity range, a common practical situation. The enhanced occlusion handling capabilities of the new dynamic programming algorithm are evaluated against those of the most powerful state-of-the-art dynamic programming and graph-cut techniques. Four-state DP is also evaluated against the disparity-based Middlebury error metrics and its performance found to be amongst the best of the efficient algorithms. A number of examples demonstrate the robustness of four-state DP to artefacts in stereo video streams. This includes demonstrations of cyclopean view synthesis in extended conversational sequences, synthesis from a freely translating virtual camera and, finally, basic 3D scene editing. {\textcopyright} 2006 Springer Science + Business Media, LLC.},
	keywords = {Dense stereo, Gaze correction, Image-based rendering, Video-conferencing},
	issn = {09205691},
	doi = {10.1007/s11263-006-8525-1},
	author = {Criminisi, A and Blake, A and Carsten Rother and Shotton, J and Torr, P. H.S.}
}
@incollection {hara2007,
	title = {Estimation of air-sea gas and heat fluxes from infrared imagery based on near surface turbulence models},
	year = {2007},
	publisher = {Springer-Verlag},
	abstract = {Water surface infrared images were obtained during the GASEX2001 experiment in the South Equatorial Pacific waters and during the laboratory experiment in the AEOLOTRON wind wave tank at University of Heidelberg in October 2004. The infrared imagery during these experiments reveals coexistence of roller type turbulence and intermittent breaking events. Previous interpretations of the infrared images relied on the surface renewal model, in which the water surface is assumed to be occasionally renewed by bursts of turbulent eddies reaching the water surface. A new complementary model (eddy renewal model) based on stationary and spatially periodic turbulent eddies is developed to reinterpret the infrared images of near surface turbulence. The model predicts warm elongated patches bounded by cold streaks aligned with mean wind, being consistent with field and laboratory infrared images. The model yields bulk temperature estimates and mean heat flux estimates that are very close to those based on the surface renewal model.},
	doi = {10.1007/978-3-540-36906-6_17},
	author = {T. Hara and VanInwegen, E. and J. Wendelbo and Uwe Schimpf and Bernd J{\"a}hne and Nelson M. Frew and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Christoph S. Garbe and Handler, R. A.}
}
@article {Schellewald-et-al-07,
	title = {Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views},
	journal = {Image Vision Comp.},
	volume = {25},
	year = {2007},
	pages = {1301--1314},
	author = {Schellewald, C. and Roth, S. and Christoph Schn{\"o}rr}
}
@article {Schellewald-et-al-07,
	title = {Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views},
	journal = {Image Vision Comp.},
	volume = {25},
	year = {2007},
	pages = {1301{\textendash}1314},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.}
}
@conference {garbe2007,
	title = {Fluid flow estimation through integration of physical flow configurations},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {92--101},
	publisher = {Springer},
	organization = {Springer},
	abstract = {The measurement of fluid flows is an emerging field for optical flow computation. In a number of such applications, a tracer is visualized with modern digital cameras. Due to the projective nature of the imaging process, the tracer is integrated across a velocity profile. In this contribution, a novel technique is presented that explicitly models brightness changes due to this integration. Only through this modeling is an accurate estimation of the flow velocities feasible. Apart from an accurate measurement of the fluid flow, also the underlying velocity profile can be reconstructed. Applications from shear flow, microfluidics and a biological applications are presented.},
	doi = {10.1007/978-3-540-74936-3_10},
	author = {Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@article {schmaehling_07_generalizing,
	title = {Generalizing the Abbott-Firestone curve by two new surface descriptors},
	journal = {Wear},
	volume = {262},
	year = {2007},
	note = {1},
	pages = {1360-1371},
	doi = {10.1016/j.wear.2007.01.025},
	author = {Schm{\"a}hling, J. and Fred A. Hamprecht}
}
@conference {Karim-et-al-07,
	title = {Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification},
	booktitle = {Pattern Recognition -- 29th DAGM Symposium},
	volume = {4713},
	year = {2007},
	pages = {395-404},
	publisher = {Springer},
	organization = {Springer},
	author = {Karim, R. and Bergtholdt, M. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Karim-et-al-07,
	title = {Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification},
	booktitle = {Pattern Recognition {\textendash} 29th DAGM Symposium},
	series = {LCNS},
	volume = {4713},
	year = {2007},
	pages = {395-404},
	publisher = {Springer},
	organization = {Springer},
	author = {Karim, R. and Bergtholdt, M. and Kappes, J. H. and Schn{\"o}rr, C.}
}
@incollection {jaehne2007f,
	title = {The influence of intermittency on air/water gas transfer measurements},
	year = {2007},
	publisher = {Springer-Verlag},
	abstract = {This paper theoretically investigates the influence of intermittency on determining average transfer velocities using different measuring techniques. It is shown that all measuring techniques can significantly be biased by intermittency. Mass balance and eddy correlation measurements are only biased when the concentration difference between the air and the water is spatially or temporally inhomogeneous over the measurement interval. Mean transfer velocities calculated either from mean boundary layer thicknesses or from thermographic techniques, which compute the mean transfer velocity either from concentration differences of from time constants, are biased toward lower values. The effects can be large and a simple stochastic bimodal model is used to estimate the effect.},
	doi = {10.1007/978-3-540-36906-6_18},
	author = {Bernd J{\"a}hne and Christopher Popp and Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Handler, R. A.}
}
@article {Gall-et-al-07,
	title = {Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications},
	journal = {J.~Math.~Imag.~Vision},
	volume = {28},
	year = {2007},
	pages = {1--18},
	author = {Gall, J{\"u}rgen and Potthoff, J{\"u}rgen and Christoph Schn{\"o}rr and Rosenhahn, Bodo and Hans-Peter Seidel}
}
@article {Gall-et-al-07,
	title = {Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications},
	journal = {J. Math. Imag. Vision},
	volume = {28},
	year = {2007},
	pages = {1{\textendash}18},
	author = {Gall, J{\"u}rgen and Potthoff, J{\"u}rgen and Christoph Schn{\"o}rr and Rosenhahn, Bodo and Seidel, Hans-Peter}
}
@article {Welk-et-al-07,
	title = {Median and related local filters for tensor-valued images},
	journal = {Signal Processing},
	volume = {87},
	year = {2007},
	pages = {291-308},
	author = {Welk, M. and Weickert, J. and Florian Becker and Christoph Schn{\"o}rr and Feddern, C. and Burgeth, B.}
}
@article {Welk-et-al-07,
	title = {Median and related local filters for tensor-valued images},
	journal = {Signal Processing},
	volume = {87},
	year = {2007},
	pages = {291-308},
	author = {Welk, M. and Weickert, J. and Florian Becker and Schn{\"o}rr, C. and Feddern, C. and Burgeth, B.}
}
@conference {sigg:MLSP:2007,
	title = {Nonnegative CCA for Audiovisual Source Separation},
	booktitle = {International Workshop on Machine Learning for Signal Processing},
	year = {2007},
	pages = {253--258},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Sigg, C. and B. Fischer and Bj{\"o}rn Ommer and Roth, V. and J. M. Buhmann}
}
@article {Ruhnau-Schnoerr-EiF07,
	title = {Optical Stokes Flow Estimation: An Imaging-Based Control Approach},
	journal = {Exp.~in Fluids},
	volume = {42},
	year = {2007},
	pages = {61--78},
	author = {Paul Ruhnau and Christoph Schn{\"o}rr}
}
@article {Ruhnau-Schnoerr-EiF07,
	title = {Optical Stokes Flow Estimation: An Imaging-Based Control Approach},
	journal = {Exp. in Fluids},
	volume = {42},
	year = {2007},
	pages = {61{\textendash}78},
	author = {Ruhnau, P. and Schn{\"o}rr, C.}
}
@conference {Rother2007a,
	title = {Optimizing binary MRFs via extended roof duality},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2007},
	abstract = {Many computer vision applications rely on the efficient optimization of challenging, so-called non-submodular, binary pairwise MRFs. A promising graph cut based approach for optimizing such MRFs known as "roof duality" was recently introduced into computer vision. We study two methods which extend this approach. First, we discuss an efficient implementation of the "probing" technique introduced recently by Boros et al. [5]. It simplifies the MRF while preserving the global optimum. Our code is 400-700 faster on some graphs than the implementation of [5]. Second, we present a new technique which takes an arbitrary input labeling and tries to improve its energy. We give theoretical characterizations of local minima of this procedure. We applied both techniques to many applications, including image segmentation, new view synthesis, superresolution, diagram recognition, parameter learning, texture restoration, and image deconvolution. For several applications we see that we are able to find the global minimum very efficiently, and considerably outperform the original roof duality approach. In comparison to existing techniques, such as graph cut, TRW, BP, ICM, and simulated annealing, we nearly always find a lower energy. {\textcopyright} 2007 IEEE.},
	isbn = {1424411807},
	issn = {10636919},
	doi = {10.1109/CVPR.2007.383203},
	author = {Carsten Rother and Kolmogorov, Vladimir and Lempitsky, Victor and Szummer, Martin}
}
@article {Rother2007,
	title = {Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46},
	journal = {Computing},
	year = {2007},
	abstract = {Many computer vision applications rely on the efficient optimization of challenging, so-called non-submodular, binary pairwise MRFs. A promising graph cut based approach for optimizing such MRFs known as "roof duality" was recently introduced into computer vision. We study two methods which extend this approach. First, we discuss an efficient implementation of the "probing" technique introduced recently by Boros et al. [8]. It simplifies the MRF while preserving the global optimum. Our code is 400-700 faster on some graphs than the implementation of [8]. Second , we present a new technique which takes an arbitrary input labeling and tries to improve its energy. We give theoretical characterizations of local minima of this procedure. We applied both techniques to many applications, including image segmentation, new view synthesis, super-resolution, diagram recognition, parameter learning, texture restoration, and image deconvolution. For several applications we see that we are able to find the global minimum very efficiently, and considerably outperform the original roof duality approach. In comparison to existing techniques , such as graph cut, TRW, BP, ICM, and simulated annealing, we nearly always find a lower energy.},
	url = {http://research.microsoft.com/vision/cambridge/},
	author = {Carsten Rother and Kolmogorov, Vladimir and Lempitsky, Victor and Szummer, Martin}
}
@proceedings {DAGM07,
	title = {Pattern Recognition {\textendash} 29th DAGM Symposium},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	editor = {Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@book {hamprecht_07_pattern,
	title = {Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3},
	editor = {Fred A. Hamprecht and Bernd J{\"a}hne and Christoph Schn{\"o}rr}
}
@proceedings {hamprecht2007,
	title = {Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	doi = {10.1007/978-3-540-74936-3},
	author = {Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@conference {schmidt2007,
	title = {Range flow estimation based on photonic mixing device data},
	booktitle = {Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007},
	year = {2007},
	publisher = {ZESS, Univ.\ Siegen},
	organization = {ZESS, Univ.\ Siegen},
	author = {Schmidt, Martin and Markus Jehle and Bernd J{\"a}hne}
}
@mastersthesis {saussen_07_retention,
	title = {Retention Time Domain Registration of Liquid Chromatography/Mass Spectrometry Data},
	year = {2007},
	school = {University of Heidelberg},
	author = {Saussen, B.}
}
@booklet {goerlitz_07_schnelle,
	title = {Schnelle 3D-Vermessung von Partikeln in Rasterelektronenmiskroskopen mit Hilfe eines R{\"u}cksteuerdetektors},
	year = {2007},
	author = {G{\"o}rlitz, L. and Singh, M. and Sch{\"u}tzbach, P.}
}
@conference {andres_07_selection,
	title = {Selection of Local Optical Flow Models by Means of Residual Analysis},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {72-81},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph S. Garbe},
	editor = {Christoph Schn{\"o}rr and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@conference {andres2007,
	title = {Selection of local optical flow models by means of residual analysis},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {72--81},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric models of local optical flow. These models give rise to parameter estimation problems with highly correlated errors in variables (EIV). Regression is hence performed by equilibrated total least squares. The authors suggest to adaptively select motion models by testing local empirical regression residuals to be in accordance with the probability distribution that is theoretically predicted by the EIV model. Motion estimation with residual-based model selection is examined on artificial sequences designed to test specifically for the properties of the model selection process. These simulations indicate a good performance in the exclusion of inappropriate models and yield promising results in model complexity control.},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht}
}
@conference {goerlitz_07_semi,
	title = {Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {224-233},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_23},
	author = {G{\"o}rlitz, L. and Bjoern H. Menze and M.-A. Weber and B. Michael Kelm},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@article {Schnoerr-Computing-07,
	title = {Signal and Image Approximation with Level-Set Constraints},
	journal = {Computing},
	volume = {81},
	year = {2007},
	pages = {137-160},
	author = {Christoph Schn{\"o}rr}
}
@article {Schnoerr-Computing-07,
	title = {Signal and Image Approximation with Level-Set Constraints},
	journal = {Computing},
	volume = {81},
	year = {2007},
	pages = {137-160},
	author = {Schn{\"o}rr, C.}
}
@article {Yuan-et-al-SIAM07,
	title = {Simultaneous Optical Flow Estimation and Decomposition},
	journal = {SIAM J. Scientific Computing},
	volume = {29},
	number = {6},
	year = {2007},
	pages = {2283-2304},
	author = {Yuan, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@article {Yuan-et-al-SIAM07,
	title = {Simultaneous Optical Flow Estimation and Decomposition},
	journal = {SIAM J.~Scientific Computing},
	volume = {29},
	number = {6},
	year = {2007},
	pages = {2283-2304},
	author = {Yuan, J. and Christoph Schn{\"o}rr and Steidl, G.}
}
@conference {Schmidt-et-al-07,
	title = {Spine Detection and Labeling Using a Parts-Based Graphical Model},
	booktitle = {Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007)},
	volume = {4584},
	year = {2007},
	pages = {122-133},
	publisher = {Springer},
	organization = {Springer},
	author = {Schmidt, S. and J{\"o}rg H. Kappes and Bergtholdt, M. and Pekar, V. and Dries, S. and Bystrov, D. and Christoph Schn{\"o}rr}
}
@conference {Schmidt-et-al-07,
	title = {Spine Detection and Labeling Using a Parts-Based Graphical Model},
	booktitle = {Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007)},
	series = {LCNS},
	volume = {4584},
	year = {2007},
	pages = {122-133},
	publisher = {Springer},
	organization = {Springer},
	author = {Schmidt, S. and Kappes, J. H. and Bergtholdt, M. and Pekar, V. and Dries, S. and Bystrov, D. and Schn{\"o}rr, C.}
}
@conference {petra-wmm07,
	title = {Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems},
	booktitle = {Proc. 6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 07)},
	year = {2007},
	month = {Sept. 5-Sept. 9},
	publisher = {Ed Acad Romane, Bucuresti},
	organization = {Ed Acad Romane, Bucuresti},
	address = {Constanta, Romania},
	author = {Petra, S. and Schn{\"o}rr, C. and A. Schr{\"o}der and B. Wieneke}
}
@article {Ruhnau-et-al-MST07,
	title = {Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	journal = {Measurement Science and Technology},
	volume = {18},
	year = {2007},
	pages = {755-763},
	author = {Paul Ruhnau and Stahl, A. and Christoph Schn{\"o}rr}
}
@article {Ruhnau-et-al-MST07,
	title = {Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	journal = {Measurement Science and Technology},
	volume = {18},
	year = {2007},
	pages = {755-763},
	author = {Ruhnau, P. and Stahl, A. and Schn{\"o}rr, C.}
}
@incollection {Schnoerr-et-al-06a,
	title = {Variational Reconstruction with DC-Programming},
	year = {2007},
	publisher = {Birkh{\"a}user},
	address = {Boston},
	author = {Schn{\"o}rr, C. and Sch{\"u}le, T. and Weber, S.},
	editor = {Herman, G. and Kuba, A.}
}
@conference {menze_07_virtual,
	title = {Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing},
	booktitle = {Broadening Horizons: Multidisciplinary Approaches to Landscape Study},
	year = {2007},
	note = {1},
	pages = {5-29},
	publisher = {Cambridge Scholars Publishing},
	organization = {Cambridge Scholars Publishing},
	author = {Bjoern H. Menze and Muehl, S. and Sherratt, A. G.},
	editor = {Ooghe, B. et al.}
}
@conference {schimpf2006,
	title = {Active thermography: a local and fast method to investigate heat and gas exchange between ocean and atmosphere},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Uwe Schimpf and Christopher Popp and Bernd J{\"a}hne}
}
@conference {roetmann2006,
	title = {Analyse Mikrofluidischer Str{\"o}mungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung},
	booktitle = {Tagungsband Lasermethoden in der Str{\"o}mungsmesstechnik},
	year = {2006},
	author = {Karsten Roetmann and Waldemar Schmunk and Christoph S. Garbe and Volker Beushausen}
}
@conference {kelm_06_bayesian,
	title = {Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM},
	booktitle = {Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis)},
	year = {2006},
	note = {1},
	pages = {96-103},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	doi = {10.1109/CVPRW.2006.41},
	author = {B. Michael Kelm and M{\"u}ller, N. and Bjoern H. Menze and Fred A. Hamprecht},
	editor = {Schmid, C. and Soatto, S. and Tomasi, C.}
}
@conference {Weber-et-al-06b,
	title = {A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography},
	booktitle = {Discrete Geometry for Computer Imagery (DGCI 2006)},
	volume = {4245},
	year = {2006},
	pages = {146-156},
	publisher = {Springer},
	organization = {Springer},
	author = {Weber, S. and Nagy, A. and Sch{\"u}le, T. and Christoph Schn{\"o}rr and Kuba, A.}
}
@conference {Weber-et-al-06a,
	title = {Binary Tomography with Deblurring},
	booktitle = {Combinatorial Image Analysis},
	volume = {4040},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Weber, S. and Sch{\"u}le, T. and Christoph Schn{\"o}rr and Kuba, A.}
}
@conference {Heiler-Schnoerr-06a,
	title = {Controlling Sparseness in Non-negative Tensor Factorization},
	booktitle = {Computer Vision -- ECCV 2006},
	volume = {3951},
	year = {2006},
	pages = {56-67},
	publisher = {Springer},
	organization = {Springer},
	author = {Heiler, M. and Christoph Schn{\"o}rr}
}
@article {menze_06_detection,
	title = {Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model},
	journal = {Photgrammetric Engineering \& Remote Sensing},
	volume = {3},
	year = {2006},
	note = {1},
	pages = {321-327},
	author = {Bjoern H. Menze and Ur, J. A. and Sherratt, A. G.}
}
@conference {StaRuhChr06,
	title = {A Distributed Parameter Approach to Dynamic Image Motion},
	booktitle = {ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision},
	year = {2006},
	publisher = {LNCS, Springer},
	organization = {LNCS, Springer},
	author = {Stahl, A. and Paul Ruhnau and Christoph Schn{\"o}rr}
}
@article {lichy_06_einsatz,
	title = {Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker f{\"u}r die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren},
	journal = {Zeitung f{\"u}r R{\"o}ntgenforschung},
	volume = {178},
	year = {2006},
	pages = {627-633},
	doi = {10.1055/s-2006-926744},
	author = {M. P. Lichy and Bachert, P. and Fred A. Hamprecht and M.-A. Weber and Debus, J. and Schulz-Ertner, D. and Kauczor, H.-U. and Schlemmer, H.-P.}
}
@incollection {schimpf2006a,
	title = {Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer},
	year = {2006},
	pages = {239--252},
	publisher = {Springer},
	abstract = {The influence of surface films on air-sea gas exchange at low and moderate wind speeds is investigated. Observations were made in the small Heidelberg circular wind-wave facility and in coastal and offshore waters south of Cape Cod, New England. The passive controlled flux technique was used to investigate the micro turbulence very near the water surface, which controls the rate of transfer of momentum, heat, and mass across the air-sea interface. The analysis of infrared image sequences allows the estimation of the net heat flux at the water surface, the skin-bulk temperature difference across the thermal sublayer and thus the heat transfer velocity. Using Schmidt number scaling, estimates of the gas transfer velocity are obtained. Experimental evidence shows that increased surface film concentrations suppress near surface turbulence and thus decrease the gas exchange compared to a slick-free ocean interface. If a surfactant is present, turbulent mixing is dampened and direct renewal of the surface is inhibited. A surface slick changes the hydrodynamic boundary conditions in that the length scales of near surface turbulence controlling air sea gas exchange are modified. The micro-scale temperature fluctuations at the water surface indicate that at low wind speeds the transport process is dominated by large-scale turbulence, whereas at higher wind speeds the smallest observed scales dominate the transport.},
	doi = {10.1007/3-540-33271-5_21},
	author = {Uwe Schimpf and Nelson M. Frew and Bernd J{\"a}hne and Heinrich H{\"u}hnerfuss},
	editor = {Martin Gade and Gerald M. Korenowski}
}
@conference {Bergtholdt-et-al-06b,
	title = {Learning of Graphical Models and Efficient Inference for Object Class Recognition},
	booktitle = {Proc. DAGM 2006},
	series = {LCNS},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Bergtholdt, Martin and Kappes, J{\"o}rg H. and Christoph Schn{\"o}rr}
}
@article {Heiler-Schnoerr-06b,
	title = {Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming},
	journal = {J. Mach. Learning Res.},
	volume = {7},
	year = {2006},
	month = {July},
	pages = {1385{\textendash}1407},
	url = {http://www.cvgpr.uni-mannheim.de/Publications},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@conference {ommer:CVPR:2006,
	title = {Learning Top-Down Grouping of Compositional Hierarchies for Recognition},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision},
	year = {2006},
	pages = {194--194},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Bj{\"o}rn Ommer and Sauter, M. and M., Buhmann J.}
}
@conference {roetmann2006a,
	title = {Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering},
	booktitle = {Proc.\ of 12th International Symposium on Flow Visualization},
	year = {2006},
	author = {Karsten Roetmann and Christoph S. Garbe and Waldemar Schmunk and Volker Beushausen}
}
@article {Bruhn-et-al-06,
	title = {A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods},
	journal = {Int.~J.~Computer Vision},
	volume = {70},
	number = {3},
	year = {2006},
	pages = {257-277},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Bruhn-et-al-06,
	title = {A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods},
	journal = {Int. J. Computer Vision},
	volume = {70},
	number = {3},
	year = {2006},
	pages = {257-277},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Cremers-et-al-06,
	title = {Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation},
	journal = {ijcv},
	volume = {66},
	number = {1},
	year = {2006},
	pages = {67-81},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr}
}
@conference {Ruhnau-et-al-06a,
	title = {On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	booktitle = {Proc.~DAGM 2006},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Paul Ruhnau and Stahl, A. and Christoph Schn{\"o}rr}
}
@conference {Ruhnau-et-al-06a,
	title = {On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization},
	booktitle = {Proc. DAGM 2006},
	series = {LNCS},
	volume = {375-388},
	year = {2006},
	pages = {375-388},
	publisher = {Springer},
	organization = {Springer},
	author = {Ruhnau, P. and Stahl, A. and Schn{\"o}rr, C.}
}
@article {menze_06_optimal,
	title = {Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor},
	journal = {NMR in Biomedicine},
	volume = {19},
	number = {5},
	year = {2006},
	note = {1},
	pages = {599-609},
	doi = {10.1002/nbm.1041},
	author = {Bjoern H. Menze and M. P. Lichy and Bachert, P. and B. Michael Kelm and Schlemmer, H. P. and Fred A. Hamprecht}
}
@article {sieg_06_qcar,
	title = {A QCAR-approach to materials modelling},
	journal = {Journal of Molecular Modeling},
	volume = {12},
	year = {2006},
	note = {1},
	pages = {611-619},
	doi = {10.1007/s00894-005-0068-9},
	author = {Sieg, S. and Stutz, B. and Schmidt, T. and Fred A. Hamprecht and Maier, W. F.}
}
@phdthesis {schmaehling_06_statistical,
	title = {Statistical characterization of technical surface microstructure},
	year = {2006},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Schm{\"a}hling, J.}
}
@conference {Shotton2006,
	title = {TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {3951 LNCS},
	year = {2006},
	pages = {1{\textendash}15},
	abstract = {This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned model is used for automatic visual recognition and semantic segmentation of photographs. Our discriminative model exploits novel features, based on textons, which jointly model shape and texture. Unary classification and feature selection is achieved using shared boosting to give an efficient classifier which can be applied to a large number of classes. Accurate image segmentation is achieved by incorporating these classifiers in a conditional random field. Efficient training of the model on very large datasets is achieved by exploiting both random feature selection and piecewise training methods. High classification and segmentation accuracy are demonstrated on three different databases: i) our own 21-object class database of photographs of real objects viewed under general lighting conditions, poses and viewpoints, ii) the 7-class Corel subset and iii) the 7-class Sowerby database used in [1]. The proposed algorithm gives competitive results both for highly textured (e.g. grass, trees), highly structured (e.g. cars, faces, bikes, aeroplanes) and articulated objects (e.g. body, cow). {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.},
	keywords = {aeroplanes) and articulated objects (eg body, bikes, cow), faces, g grass, highly structured (eg cars, trees)},
	isbn = {3540338322},
	issn = {16113349},
	doi = {10.1007/11744023_1},
	url = {http://research.microsoft.com/vision/cambridge/recognition/.},
	author = {Shotton, Jamie and Winn, John and Carsten Rother and Criminisi, Antonio}
}
@article {schmaehling_06_threedimensional,
	title = {A three-dimensional measure of surface roughness based on mathematical morphology},
	journal = {International Journal of Machine Tools and Manufacture},
	volume = {46 (14)},
	year = {2006},
	note = {1},
	pages = {1764-1769},
	doi = {10.1016/j.ijmachtools.2005.12.003},
	author = {Schm{\"a}hling, J. and Fred A. Hamprecht and Hoffmann, D. M. P.}
}
@conference {Kirk2006,
	title = {Understanding photowork},
	booktitle = {Conference on Human Factors in Computing Systems - Proceedings},
	volume = {2},
	year = {2006},
	pages = {761{\textendash}770},
	abstract = {In this paper we introduce the notion of "photowork" as the activities people perform with their digital photos after capture but prior to end use such as sharing. Surprisingly, these processes of reviewing, downloading, organizing, editing, sorting and filing have received little attention in the literature yet they form the context for a large amount of the {\textquoteright}search{\textquoteright} and {\textquoteright}browse{\textquoteright} activities so commonly referred to in studies of digital photo software. Through a deeper understanding of photowork using field observation and interviews, we seek to highlight its significance as an interaction practice. At the same time, we discover how "search" as it is usually defined may have much less relevance than new ways of browsing for the design of new digital photo tools, in particular, browsing in support of the photowork activities we describe. Copyright 2006 ACM.},
	keywords = {Browsing, Content-based image retrieval, Digital photo albums, Photowork, Searching, Use of images},
	isbn = {1595931783},
	doi = {10.1145/1124772.1124885},
	author = {Kirk, David S and Sellen, Abigail J and Carsten Rother and Wood, Kenneth R}
}
@article {Schuele-et-al-05a,
	title = {Adaptive Reconstruction of Discrete-Valued Objects from few Projections},
	journal = {Electr. Notes in Discr. Math.},
	volume = {20},
	year = {2005},
	pages = {365-384},
	author = {Sch{\"u}le, T. and Weber, S. and Schn{\"o}rr, C.}
}
@conference {jaehne2005,
	title = {Air-Sea Gas Transfer; Schmidt Number dependency and intermittency},
	booktitle = {Presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces},
	year = {2005},
	author = {Bernd J{\"a}hne and Nielsen, R. and Christopher Popp and Uwe Schimpf and Christoph S. Garbe}
}
@incollection {Weber-et-al-05b,
	title = {Binary Tomography by Iterating Linear Programs},
	year = {2005},
	note = {(13 pages)},
	publisher = {Springer},
	author = {Weber, S. and Schn{\"o}rr, C. and Sch{\"u}le, T. and Hornegger, J.},
	editor = {Klette, R. and Kozera, R. and Noakes, L. and Weickert, J.}
}
@article {jaehne2005a,
	title = {Combined optical slope/height measurements of short wind waves: principles and calibration},
	journal = {Meas. Sci. Technol.},
	volume = {16},
	number = {10},
	year = {2005},
	pages = {1937--1944},
	abstract = {A novel short wave imaging technique is described. For the first time, it is capable of measuring the wave height and wave slope simultaneously with unprecedented accuracy. A telecentric optical system is used to image the waves so that the image magnification does not change with the wave height and the slope calibration is much less dependent on the position of the image. A telecentric illumination system contains an area-extended LED light source that is placed in the focal plane of a second lens below the water channel. In this way, the wave slope can be coded by the position-dependent intensity of the light source. LEDs with two different wavelengths in the red and near infrared part of the spectrum are used. Because the water column absorbs the two wavelengths differently, the difference in the observed intensities gives the wave height. The paper details the principle of the technique and the calibration procedures.},
	issn = {0957-0233},
	doi = {10.1088/0957-0233/16/10/008},
	author = {Bernd J{\"a}hne and Schmidt, M. and Roland Rocholz}
}
@article {Neumann-et-al-ML,
	title = {Combined SVM-based Feature Selection and Classification},
	journal = {Machine Learning},
	volume = {61},
	year = {2005},
	pages = {129-150},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@booklet {goerlitz_05_detektion,
	title = {Detektion von Partikeln in Intensit{\"a}tsbildern mit Hilfe eines morphologischen Skalenraumes},
	year = {2005},
	publisher = {Robert-Bosch GmbH, University of Heidelberg},
	author = {G{\"o}rlitz, L. and Fred A. Hamprecht and Staudacher, M.}
}
@mastersthesis {schwarz2005,
	title = {Development of a depth resolving boundary layer visualiziation f{\"u}r gas exchange at free water surfaces},
	year = {2005},
	school = {University of Heidelberg},
	abstract = {In this thesis, a measurement setup is introduced which makes it possible to directly measure two-dimensional, vertical concentration of gases in the water sided boundary layer using Laser-Induced Fluorescence (LIF). While it is impossible to gain knowledge of the physical processes involved in gas exchange using measurements of transfer rates and mass balances, the introduced method makes it possible to directly visualize the physical processes of matter transport in the boundary layer. The measurement method is based on two basic principles: First a fluorescence indicator is used, whose fluorescence intensity is proportional to the local pH-value, thus allowing a spatial resolved measurement of the concentrations of dissolved alkaline or acidic gases can directly be visualized. Second, to create a depth resolution, a second, absorbing dye is added, whose absoprtion maximum lies inside the fluorescence spectrum, so that spectra from different depths show changes in their spectral shape due to the different light path lengths through the absorber. Thus the measured spectrum is the superposition of all depth spectra, which provide the basis of a linear inverse problem. Models for the reconstruction of the depth information will be introduced in the course of this thesis, and the solvability will be analyzed. As the stability of the solution of the inverse problem is almost exclusively determined by the invertibility of the basis function matrix, a confocal microscope was constructed, which allowed the direct measurement of depth spectra. Through this it was made possible to numerically analyze and evaluate the conditioning of the matrix invertibility.},
	author = {Schwarz, T. S.}
}
@conference {Bruhn-et-al-05a,
	title = {Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time},
	booktitle = {Scale-Space 2005},
	series = {lncs},
	volume = {3459},
	year = {2005},
	pages = {279{\textendash}290},
	publisher = {Springer},
	organization = {Springer},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@conference {Yuan-et-al-05a,
	title = {Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation},
	booktitle = {Scale-Space 2005},
	series = {lncs},
	volume = {3459},
	year = {2005},
	pages = {267{\textendash}278},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, J. and Ruhnau, P. and M{\'e}min, E. and Schn{\"o}rr, C.}
}
@article {Schuele-et-al-04a,
	title = {Discrete Tomography By Convex-Concave Regularization and D.C. Programming},
	journal = {Discr. Appl. Math.},
	volume = {151},
	year = {2005},
	month = {Oct},
	pages = {229-243},
	author = {Sch{\"u}le, T. and Schn{\"o}rr, C. and Weber, S. and Hornegger, J.}
}
@article {Kohlberger-et-al-04b,
	title = {Domain decomposition for variational optical flow computation},
	journal = {IEEE Trans. Image Proc.},
	volume = {14},
	number = {8},
	year = {2005},
	pages = {1125-1137},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.}
}
@article {Neumann-et-al-PR,
	title = {Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers},
	journal = {Pattern Recognition},
	volume = {38},
	number = {11},
	year = {2005},
	pages = {1815-1830},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@conference {hara2005,
	title = {Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements},
	booktitle = {Presented at: International Li{\`e}ge Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces},
	year = {2005},
	author = {T. Hara and J. Wendelbo and Christoph S. Garbe and Uwe Schimpf and Nelson M. Frew}
}
@conference {jaehne2005f,
	title = {The Heidelberg Aeolotron: new perspectives for laboratory investigations of small-scale air-sea interaction},
	booktitle = {Poster presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces},
	year = {2005},
	doi = {10.5281/zenodo.15417},
	author = {Bernd J{\"a}hne and Uwe Schimpf and Christoph S. Garbe and Kai Degreif}
}
@incollection {banerjee2005,
	title = {High resolution optical measurement techniques in paper drying},
	volume = {4},
	year = {2005},
	pages = {16--22},
	author = {D. Banerjee and S. Schabel and Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne and Spiegel, W. von}
}
@inbook {schimpf2005,
	title = {Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer},
	year = {2005},
	pages = {239-252},
	publisher = {Springer},
	organization = {Springer},
	chapter = {3},
	doi = {10.1007/3-540-33271-5_21},
	author = {Uwe Schimpf and Nelson M. Frew and Bernd J{\"a}hne and Heinrich H{\"u}hnerfuss},
	editor = {Martin Gade and Gerald M. Korenowski}
}
@conference {Heiler-Schnoerr-05a,
	title = {Learning Sparse Image Codes by Convex Programming},
	booktitle = {Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV{\textquoteright}05)},
	year = {2005},
	month = {Oct. 15-21},
	pages = {1667-1674},
	address = {Beijing, China},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@article {Weickert-et-al-03a,
	title = {Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods},
	volume = {61},
	number = {3},
	year = {2005},
	pages = {211-231},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Christoph Schn{\"o}rr}
}
@conference {Welk-et-al-05a,
	title = {Matrix-Valued Filters as Convex Programs},
	booktitle = {Scale-Space 2005},
	series = {lncs},
	volume = {3459},
	year = {2005},
	pages = {204{\textendash}216},
	publisher = {Springer},
	organization = {Springer},
	author = {Welk, Martin and Florian Becker and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@article {Heiler-Schnoerr-04a,
	title = {Natural Image Statistics for Natural Image Segmentation},
	journal = {Int. J. Comp. Vision},
	volume = {63},
	number = {1},
	year = {2005},
	pages = {5{\textendash}19},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@article {Weber-et-al-05a,
	title = {Prior Learning and Convex-Concave Regularization of Binary Tomography},
	journal = {Electr. Notes in Discr. Math.},
	volume = {20},
	year = {2005},
	pages = {313-327},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C.}
}
@conference {Schellewald-Schnoerr-05a,
	title = {Probabilistic Subgraph Matching Based on Convex Relaxation},
	booktitle = {Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR{\textquoteright}05)},
	series = {lncs},
	volume = {3757},
	year = {2005},
	pages = {171-186},
	publisher = {Springer},
	organization = {Springer},
	author = {Schellewald, C. and Schn{\"o}rr, C.}
}
@conference {Heiler-Schnoerr-05b,
	title = {Reverse-Convex Programming for Sparse Image Codes},
	booktitle = {Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR{\textquoteright}05)},
	series = {LNCS},
	volume = {3757},
	year = {2005},
	pages = {600-616},
	publisher = {Springer},
	organization = {Springer},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@incollection {Heiler-et-al-05,
	title = {Semidefinite Clustering for Image Segmentation with A-priori Knowledge},
	volume = {3663},
	year = {2005},
	pages = {309{\textendash}317},
	publisher = {Springer},
	author = {Heiler, M. and Keuchel, J. and Schn{\"o}rr, C.}
}
@incollection {Bergtholdt-Schnoerr-05,
	title = {Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes},
	volume = {3663},
	year = {2005},
	pages = {342{\textendash}350},
	publisher = {Springer},
	author = {Bergtholdt, Martin and Christoph Schn{\"o}rr}
}
@conference {Yuan-et-al-05b,
	title = {A Study of Non-Smooth Convex Flow Decomposition},
	booktitle = {Proc. Variational, Geometric and Level Set Methods in Computer Vision},
	series = {lncs},
	volume = {3752},
	year = {2005},
	pages = {1{\textendash}12},
	publisher = {Springer},
	organization = {Springer},
	author = {Yuan, Jing and Christoph Schn{\"o}rr and Steidl, Gabriele and Florian Becker}
}
@conference {menze_05_tell,
	title = {Tell Spotting - Surveying Near Eastern Settlement Mounds from Space},
	booktitle = {Proceedings of the XXth CIPA International Symposium 2005, Torino, Italy},
	year = {2005},
	note = {1},
	pages = {217-223},
	author = {Bjoern H. Menze and Ur, J. A. and Sherratt, A. G.}
}
@article {Ruhnau-et-al-05b,
	title = {A variational approach for particle tracking velocimetry},
	journal = {Meas. Science and Techn.},
	volume = {16},
	year = {2005},
	pages = {1449-1458},
	author = {Ruhnau, P. and G{\"u}tter, C. and Putze, T. and Schn{\"o}rr, C.}
}
@proceedings {Paragios-et-al-05,
	title = {Variational, Geometric and Level Sets in Computer Vision (VLSM{\textquoteright}05)},
	volume = {3752},
	year = {2005},
	month = {Oct. 16},
	publisher = {Springer},
	address = {Beijing, China},
	editor = {Paragios, N. and Faugeras, O. and Chan, T. and Schn{\"o}rr, C.}
}
@article {Bruhn-et-al-4b,
	title = {Variational optic flow computation in real-time},
	journal = {IEEE Trans. Image Proc.},
	volume = {14},
	number = {5},
	year = {2005},
	pages = {608{\textendash}615},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Feddern, Christian and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Ruhnau-et-al-05,
	title = {Variational Optical Flow Estimation for Particle Image Velocimetry},
	journal = {Experiments in Fluids},
	volume = {38},
	year = {2005},
	pages = {21--32},
	author = {Paul Ruhnau and Kohlberger, T. and Nobach, H. and Christoph Schn{\"o}rr}
}
@article {Ruhnau-et-al-05,
	title = {Variational Optical Flow Estimation for Particle Image Velocimetry},
	journal = {Experiments in Fluids},
	volume = {38},
	year = {2005},
	pages = {21{\textendash}32},
	author = {Ruhnau, P. and Kohlberger, T. and Nobach, H. and Schn{\"o}rr, C.}
}
@incollection {Bergtholdt-et-al-05,
	title = {Variational Segmentation with Shape Priors},
	year = {2005},
	pages = {147-160},
	publisher = {Springer},
	chapter = {9},
	author = {Bergtholdt, Martin and Daniel Cremers and Christoph Schn{\"o}rr},
	editor = {Paragios, N. and Chen, Y. and Faugeras, O.}
}
@booklet {strobel_05_verfahren,
	title = {Verfahren und Pr{\"u}fk{\"o}rper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild},
	year = {2005},
	author = {Strobel, J. and G{\"o}rlitz, L. and Staudacher, M.}
}
@article {frew2004,
	title = {Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films},
	journal = {J. Geophys. Res.},
	volume = {109},
	year = {2004},
	pages = {C08S17},
	doi = {10.1029/2003JC002131},
	author = {Nelson M. Frew and E. J. Bock and Uwe Schimpf and T. Hara and Horst Hau{\ss}ecker and J. B. Edson and W. R. McGilles and R. K. Nelson and S. P. McKenna and B. M. Uz and Bernd J{\"a}hne}
}
@conference {Giebel-et-al-04,
	title = {A Bayesian Framework for Multi-cue 3D Object Tracking},
	booktitle = {Computer Vision {\textendash} ECCV 2004},
	series = {lncs},
	volume = {3024},
	year = {2004},
	pages = {241-252},
	publisher = {Springer},
	organization = {Springer},
	author = {Giebel, J. and Gavrila, D. M. and Schn{\"o}rr, C.},
	editor = {Pajdla, T. and Matas, J.}
}
@conference {wshs-04,
	title = {Binary Tomography by Iterating Linear Programs from Noisy Projections},
	booktitle = {Combinatorial Image Analysis, Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}04)},
	series = {LNCS},
	volume = {3322},
	year = {2004},
	pages = {38{\textendash}51},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Weber, S. and Sch{\"u}le, T. and Hornegger, J. and Schn{\"o}rr, C.},
	editor = {Klette, R. and {\v Z}uni{\'c}, J.}
}
@conference {menze_04_classification,
	title = {Classification of in vivo magnetic resonance spectra},
	booktitle = {Classification in ubiquitous challenge: Proceedings of the GfKl 2004},
	year = {2004},
	pages = {362-369},
	publisher = {Springer},
	organization = {Springer},
	author = {Bjoern H. Menze and Wormit, M. and Bachert, P. and M. P. Lichy and Schlemmer, H.-P. and Fred A. Hamprecht}
}
@conference {Yuan-et-al-04b,
	title = {Convex Set-Based Estimation of Image Flows},
	booktitle = {ICPR 2004 {\textendash} 17th Int. Conf. on Pattern Recognition},
	volume = {1},
	year = {2004},
	month = {Aug. 23-26},
	pages = {124-127},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cambridge, UK},
	author = {Yuan, J. and Schn{\"o}rr, C. and Kohlberger, T. and Ruhnau, P.}
}
@phdthesis {senet2004,
	title = {Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences},
	year = {2004},
	publisher = {Universit{\"a}t Hamburg, FB Informatik},
	author = {Senet, Christian M.}
}
@article {Criminisi2004,
	title = {Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing},
	year = {2004},
	abstract = {A new algorithm is proposed for novel-view synthesis, with particular application to teleconferencing. Given the video streams acquired by two cameras placed on either side of a computer monitor, the proposed algorithm synthesises images from a virtual camera in arbitrary position (typically located within the monitor area) to facilitate eye contact. The new technique is based on an improved, dynamic-programming, stereo algorithm for efficient novel-view generation. The two main contributions of this paper are: i) a new four-layer matching graph for dense-stereo dynamic-programming, that supports accurate occlusion labeling; ii) a compact geometric derivation for novel-view synthesis by direct projection of the minimum-cost surface. Furthermore, the paper presents an algorithm for the temporal maintenance of a background model to enhance the rendering of occlusions and reduce temporal artefacts (flicker); and a cost aggregation algorithm that acts directly in three-dimensional matching cost space. The proposed algorithm has been designed to work with input images with large disparity range, a common situation in one-to-one video-conferencing. The enhanced oc-clusion-handling capabilities of the new DP algorithm are evaluated against those of the most powerful state-of-the-art dynamic-programming and graph-cut techniques. A number of examples demonstrate the robustness of the algorithm to artefacts in stereo video streams. This includes demonstrations of cyclopean view synthesis in extended conversational sequences, synthesis from a freely translating virtual camera and, finally, basic 3D scene editing.},
	url = {http://www.research.microsoft.comi http://jamie.shotton.org/work/publications/TechRep2003-59.pdf},
	author = {Criminisi, A and Shotton, J and Blake, A and Torr, P}
}
@conference {jaehne2004e,
	title = {Exchange processes at the ocean surface: their role in coupling atmosphere and ocean, a contribution to the SOLAS project},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Munich, 22.-26.03.2004},
	year = {2004},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	abstract = {Der Stoffaustausch zwischen Atmosph{\"a}re und Ozean ist trotz seiner Bedeutung f{\"u}r die globalen Stoffkreisl{\"a}ufe immer noch wenig verstanden und experimentell schwer zug{\"a}nglich. In den letzten Jahre wurde eine neue Technik entwickelt, die es mittels aktiver Thermographie erlaubt, die Antwortfunktion des Transports durch die wasserseitige viskose Grenzschicht sowohl im Labor als auch im Feld zu messen. Damit ist es nicht nur m{\"o}glich, innerhalb weniger Minuten die Transfergeschwindigkeit f{\"u}r Gase zu messen, sondern auch verschiedene Modelle zu unterscheiden und die Schmidtzahlabh{\"a}ngigkeit zu bestimmen. Dies bedeutet f{\"u}r zuk{\"u}nftige Messungen im Feld, dass Messungen der Konzentrationen von beliebigen Tracern im Wasser und der Atmosph{\"a}re ausreichend sind, um Flussraten relevanter Tracer zwischen Atmosph{\"a}re und Ozean zu bestimmen. Es sind keine aufwendigen und unsicheren direkten Flussraten (z.B. durch Eddykorrelations- oder -akkumulationsmessungen) mehr notwendig. Die neue Technik soll ein wesentliches Bindeglied zwischen den atmosph{\"a}rischen und ozeanographischen Untersuchungen des internationalen SOLAS-Projekt werden.},
	url = {http://old.dpg-tagungen.de/archive/2004/up_1.html},
	author = {Bernd J{\"a}hne and Uwe Schimpf and Christopher Popp and Christoph S. Garbe}
}
@conference {Keuchel-et-al-04a,
	title = {Hierarchical Image Segmentation based on Semidefinite Programming},
	booktitle = {Pattern Recognition, Proc. 26th DAGM Symposium},
	series = {lncs},
	volume = {3175},
	year = {2004},
	pages = {120-128},
	publisher = {Springer},
	organization = {Springer},
	author = {Keuchel, J. and Heiler, M. and Schn{\"o}rr, C.}
}
@article {Bruhn-et-al-04a,
	title = {High performance cluster computing with 3-D nonlinear diffusion filters},
	journal = {Real-Time Imaging},
	volume = {10},
	number = {1},
	year = {2004},
	pages = {41{\textendash}51},
	author = {Bruhn, Andr{\'e}s and Jakob, Tobias and Fischer, Markus and Weickert, Joachim and Br{\"u}ning, Ulrich and Christoph Schn{\"o}rr}
}
@article {schimpf2004,
	title = {Investigation of transport processes across the sea surface microlayer by infrared imagery},
	journal = {J. Geophys. Res.},
	volume = {109},
	number = {C8},
	year = {2004},
	pages = {C08S13},
	abstract = {Heat is used as a proxy tracer for gases to study the transport processes across the sea surface microlayer. Infrared imaging techniques permit fast measurements of heat transfer velocities and give an insight into the transport mechanisms across the thermal sublayer. The observed fluctuations of the sea surface temperature suggest that surface renewal is the major turbulent transport mechanism at medium and high wind speeds. The scale space analysis of the temperature patterns at the sea surface with respect to their contribution to the skin-bulk temperature difference shows the turbulent nature of the transport process. Large-scale turbulence dominates the transport at low friction velocities, whereas small-scale turbulence is more dominant at higher wind friction. The skin-bulk temperature difference is estimated by fitting the measured sea surface temperature distribution with a PDF function based on a surface renewal model. Periodic heat flux switching in the wind-wave flume delivers independent estimates of surface and bulk temperature and verifies the statistical approach, whereas at very low wind speeds and film-covered surfaces the statistical method underestimates the skin-bulk temperature difference across the thermal sublayer. The large scatter of the transfer velocities when plotted versus wind speed indicates that not only the wind shear but also other processes such as the wave field and surfactants influences near-surface turbulence and thus air-water gas transfer.},
	issn = {0148-0227},
	doi = {10.1029/2003JC001803},
	author = {Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne}
}
@article {Weber-et-al-04a,
	title = {A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections},
	journal = {Methods of Information in Medicine},
	volume = {43},
	number = {4},
	year = {2004},
	pages = {320{\textendash}326},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C. and Hornegger, J.}
}
@mastersthesis {schlosser2004,
	title = {Messung von Diffusionskonstanten},
	year = {2004},
	school = {Univ.\ Heidelberg},
	author = {Schlosser, C.}
}
@conference {Cremers-et-al-04,
	title = {Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation},
	booktitle = {Computer Vision {\textendash} ECCV 2004},
	series = {lncs},
	volume = {3024},
	year = {2004},
	pages = {74-86},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Pajdla, T. and Matas, J.}
}
@conference {Kohlberger-et-al-04a,
	title = {Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing},
	booktitle = {Computer Vision {\textendash} ECCV 2004},
	series = {lncs},
	volume = {3024},
	year = {2004},
	pages = {205-216},
	publisher = {Springer},
	organization = {Springer},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.},
	editor = {Pajdla, T. and Matas, J.}
}
@conference {strzodka2004,
	title = {Real-time motion estimation and visualization on graphics cards},
	booktitle = {Proceedings IEEE Visualization 2004},
	year = {2004},
	pages = {545--552},
	abstract = {We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatio-temporal structure tensor at every pixel location. This approach is computationally demanding but allows reliable velocity estimates as well as quality indicators for the obtained results. We use a 2D color map and a region of interest selector for the visualization of the velocities. On the selected velocities we apply a hierarchical smoothing scheme which allows the choice of the desired scale of the motion field. We demonstrate several examples of test sequences in which some persons are moving with different velocities than others. These persons are visually marked in the real-time display of the image sequence. The tool is also applied to angiography sequences to emphasize the blood flow and its distribution. An efficient processing of the data streams is achieved by mapping the operations onto the stream architecture of standard graphics cards. The card receives the images and performs both the motion estimation and visualization, taking advantage of the parallelism in the graphics processor and the superior memory bandwidth. The integration of data processing and visualization also saves on unnecessary data transfers and thus allows the real-time analysis of 320{\texttimes}240 images. We expect that on the newest generation of graphics hardware our tool could run in real time for the standard VGA format.},
	doi = {10.1109/VISUAL.2004.88},
	author = {Strzodka, R. and Christoph S. Garbe}
}
@article {garbe2004a,
	title = {A surface renewal model to analyze infrared image sequences of the ocean surface for the study of air-sea heat and gas exchange},
	journal = {J. Geophys. Res.},
	volume = {109},
	number = {C8},
	year = {2004},
	pages = {1-18},
	abstract = {Thermographic techniques are presented that directly measure the temperature difference across the thermal boundary layer at the sea surface, the probability density function of surface renewal, the net heat flux, and the heat transfer velocity during nighttime. The techniques are based on a model of surface renewal. Through the use of digital image processing techniques, temporally and spatially highly resolved measurements are feasible, limited only by the thermal imager. We present laboratory measurements from the Heidelberg Aeolotron and field measurements from the GasExII cruise taken at a spatial resolution of 3 mm and temporal resolution of 10 ms. The net heat flux estimates of the thermographic techniques and micrometeorological methods agree with an error less than 5\% for conditions in which the surface renewal model is applicable. Experimental evidence is presented for the probability density function of surface renewal to be best described by a logarithmic normal distribution. At moderate and high wind speeds when the influence of surface films is not significant, surface renewal seems to be an adequate model for air-water heat exchange.},
	issn = {0148-0227},
	doi = {10.1029/2003JC001802},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne}
}
@conference {Neumann-et-al-04a,
	title = {SVM-based Feature Selection by Direct Objective Minimisation},
	booktitle = {Pattern Recognition, Proc. 26th DAGM Symposium},
	series = {lncs},
	volume = {3175},
	year = {2004},
	pages = {212-219},
	publisher = {Springer},
	organization = {Springer},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@incollection {Ruhnau-et-al-04,
	title = {Variational Optical Flow Estimation for Particle Image Velocimetry},
	year = {2004},
	month = {Sept},
	publisher = {Deutsche Gesellschaft f{\"u}r Laser-Anemometrie GALA e.V.},
	chapter = {30},
	address = {Karlsruhe},
	author = {Ruhnau, P. and Kohlberger, T. and Nobach, H. and Schn{\"o}rr, C.},
	editor = {Ruck, B. and Leder, A. and Dopheide}
}
@phdthesis {stoehr2003,
	title = {Analysis of Flow and Transport in Refractive Index Matched Porous Media},
	year = {2003},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In the present work a novel method for the measurement of flow and transport in porous media has been developped. Through the employment of particularly applicative solids, liquids and fluorescent dyes and the application of a method for the highly precise matching of refractive indices, the dynamics of the dye distribution inside a threedimensional porous medium could be determined with a high temporal and spatial resolution using planar laser-induced fluorescence. For the data analysis specifically adapted algorithms for image preprocessing have been developed and a method for local parameter estimation has been adapted and significantly enhanced for the present application. The performed measurements represent the first simultaneous estimation of the longitudinal and both transversal hydrodynamic dispersion coefficients. Whereas for the longitudinal dispersion a previously known power-law could be confirmed, the significantly different behavior of the transversal dispersion in vertical and horizontal direction has been observed for the first time. Furthermore the measurements provide the first direct evidence for the existence of stagnant zones in the liquid phase, which have an important effect on the dispersion and are a potential explanation for the power-law behavior. Finally the described technique was used for the first highly resolved visualization of the flow of two immiscible liquids in a threedimensional porous medium.},
	url = {http://www.ub.uni-heidelberg.de/archiv/3733},
	author = {M. St{\"o}hr}
}
@phdthesis {smolyar2003,
	title = {Bildgebende Spektroskopie an Pflanzenbl{\"a}ttern},
	year = {2003},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this work, new methods of image spectroscopy were developed that were used for studying spectral characteristics and spatial distribution of water and chlorophyll in plant leaves. Two image spectrometers for VIS and NIR areas using CCD cameras were built: a prismatic CCD spectrometer for receiving imagespectra with spectral and spatial coordinate; a multispectral CCD image spectrometer for investigation of spectral images for discrete wavelengths using a set of bandpass filters. In comparison with serial spectrometers, the developed image spectrometer has better characteristics. A innovative method for the processing of the spectral images was developed, allowing the analysis of a spectral images sequence and spectra of separate structural elements of inhomogeneous objects. The influence of multiple light scattering on optical characteristics of plant leaves was investigated. A method to determine the true value of absorption was developed considering the interaction of multiple light scattering and absorption. Separated spectra for plant leaves tissue and vein were investigated. A spectral technique to find detailed distribution of water and chlorophyll in leaves were developed. For the first time a profile images of water distribution on plant leaves were obtained. Four water states during physiological processes was shown and analyzed. The developed methods of image spectroscopy have a general character and can be used for studying non-uniform mirco- and macroobjects.},
	url = {http://www.ub.uni-heidelberg.de/archiv/4268/},
	author = {Smolyar, N.}
}
@article {Keuchel-et-al-02a,
	title = {Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming},
	volume = {25},
	number = {11},
	year = {2003},
	pages = {1364{\textendash}1379},
	author = {Keuchel, J. and Schn{\"o}rr, C. and Schellewald, C. and Daniel Cremers}
}
@incollection {scholes2003,
	title = {Biosphere-Atmosphere Interactions},
	year = {2003},
	pages = {19--71},
	publisher = {Springer},
	chapter = {2},
	doi = {10.1007/978-3-642-18984-5_2},
	author = {Mary C. Scholes and Patricia A. Matrai and Meinrat O. Andreae and Keith A. Smith and Martin R. Manning and Paulo Artaxo and Leonard A. Barrie and Timothy S. Bates and James H. Butler and Paolo Ciccioli and Stanislaw A. Cieslik and Robert J. Delmas and Frank J. Dentener},
	editor = {Guy P. Brasseur and Ronald G. Prinn and Alexander A. P. Pszenny}
}
@techreport {Schuele-et-al-03,
	title = {Discrete Tomography By Convex-Concave Regularization and D.C. Programming},
	number = {15},
	year = {2003},
	note = {\em Discr. Appl. Math.\/, accepted for publication},
	month = {December},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Sch{\"u}le, T. and Schn{\"o}rr, C. and Weber, S. and Hornegger, J.}
}
@conference {Kohlberger-et-al-03c,
	title = {Domain Decomposition for Parallel Variational Optical Flow Computation},
	booktitle = {Pattern Recognition, Proc. 25th DAGM Symposium},
	series = {LNCS},
	volume = {2781},
	year = {2003},
	pages = {196{\textendash}203},
	publisher = {Springer},
	organization = {Springer},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.},
	editor = {Michaelis, B. and Krell, G.}
}
@techreport {Kohlberger-et-al-03a,
	title = {Domain Decomposition for Variational Optical Flow Computation},
	number = {07/2003},
	year = {2003},
	note = {\em IEEE Trans. Image Processing\/, revised and resubmitted},
	month = {May},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Kohlberger, T. and Schn{\"o}rr, C. and Bruhn, A. and Weickert, J.}
}
@techreport {Neumann-et-al-04b,
	title = {Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification},
	number = {5},
	year = {2003},
	note = {\emphPattern Recognition, revised and resubmitted},
	month = {March},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@incollection {hader_03_efficient,
	title = {Efficient Density Clustering},
	year = {2003},
	pages = {39-48},
	publisher = {Springer},
	doi = {10.1007/b13634},
	author = {S. Hader and Fred A. Hamprecht},
	editor = {Schader, M. and Gaul, W. and Vichi, M.}
}
@article {garbe2003c,
	title = {Estimation of complex motion from thermographic image sequences},
	journal = {SPIE Proc.},
	volume = {5073},
	year = {2003},
	pages = {303--317},
	abstract = {In this contribution a novel technique for computing complexmotion involving heat transport processes will be presented. Theproposed technique is a local gradient based approach, combiningtransport models with motion analysis. It allows for thesimultaneous estimation of both motion and parameter of anunderlying transport model. Since the analysis is based on thermalimage sequences, estimates are computed to a high temporal andspatial resolution, limited only by the resolution and frame rateof the employed IR camera. This novel technique was utilized onexchange processes at the atmosphere/ocean boundary, wheresignificant parameters of heat transfer could be measured and atransport model verified. Using the presented algorithms, surfaceflows as well as convergences and divergences on air-waterinterfaces can be measured accurately. Apart from applications inoceanography and botany, relevant benefits of the proposedtechnique to NDT will be presented. It is possible to compensatefor motion to reach accuracies much better than 1/10th of a pixel.Through the direct estimation of locally resolved diffusivities inmaterials, insights can be gained about defects present. Byestimating not only isotropic diffusion but also the whole matrixof anisotropic diffusion, the technique is highly relevant tomeasurements of composite materials.},
	doi = {10.1117/12.501121},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@article {garbe2003b,
	title = {Estimation of surface flow and net heat flux from infrared image sequences},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {19},
	number = {3},
	year = {2003},
	pages = {159--174},
	abstract = {The study of dynamical processes at the sea surface interface using infrared image sequence analysis has gained tremendous popularity in recent years. Heat is transferred by similar transport mechanisms as gases relevant to global climatic changes. These similarities lead to the use of infrared cameras to remotely visualize and quantitatively estimate parameters of the underlying processes. Relevant parameters that provide important evidence about the models of air-sea gas transfer are the temperature difference across the thermal sub layer, the probability density function of surface renewal and the flow field at the surface. Being a driving force in air sea interactions, it is of equal importance to measure heat fluxes. In this paper we will present algorithms to measure the above parameters of air-sea gas transfer during night-time and show how to combine physical modeling and quantitative digital image processing algorithms to identify transport models. The image processing routines rely on an extension of optical flow computations to incorporate brightness changes in a total least squares (TLS) framework. Statistical methods are employed to support a model of gas transfer and estimate its parameters. Measurements in a laboratory environment were conducted and results verified with ground truth data gained from traditional measurement techniques.},
	doi = {10.1023/A:1026233919766},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@conference {Neumann-et-al-03a,
	title = {Feasible Adaption Criteria for Hybrid Wavelet {\textendash} Large Margin Classifiers},
	booktitle = {Proc. Computer Analysis of Images and Patterns (CAIP{\textquoteright}03)},
	series = {LNCS},
	volume = {2756},
	year = {2003},
	pages = {588{\textendash}595},
	publisher = {Springer},
	organization = {Springer},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.},
	editor = {Petkov, N. and Westenberg, M.A.}
}
@article {wenig2003,
	title = {Intercontinental transport of nitrogen oxide pollution plumes},
	journal = {Atmos. Chem. Phys.},
	volume = {3},
	year = {2003},
	pages = {387--393},
	doi = {10.5194/acp-3-387-2003},
	author = {Mark Wenig and N. Spichtinger and A. Stohl and G. Held and S. Beirle and T. Wagner and Bernd J{\"a}hne and Ulrich Platt}
}
@conference {Weber-et-al-03b,
	title = {A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2003},
	year = {2003},
	pages = {41{\textendash}45},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C. and Hornegger, J.}
}
@conference {Weber-et-al-03a,
	title = {A Linear Programming Relaxation for Binary Tomography with Smoothness Priors},
	booktitle = {Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}03)},
	year = {2003},
	month = {May 14-16},
	address = {Palermo, Italy},
	author = {Weber, S. and Schn{\"o}rr, C. and Hornegger, J.}
}
@article {stoehr2003a,
	title = {Measurement of 3D pore-scale flow in index-matched porous media},
	journal = {Exp. Fluids},
	volume = {35},
	number = {2},
	year = {2003},
	pages = {159--166},
	abstract = {We present the experimental analysis of fluid flow at the pore-scale of a transparent porous medium with matched refractive indices of the solid and liquid phases. The planar laser-induced fluorescence (PLIF) technique described is the first to simultaneously visualize the 3D pore-scale flow of two immiscible liquid phases in porous media. Through the application of a highly precise index matching method and the employment of up-to-date CCD imaging hardware, the system features a high spatial resolution and sampling rate. The method was used to study the dispersion of a tracer dye in single-phase flow and the displacement of oil by water in an imbibition process.},
	issn = {0723-4864},
	doi = {10.1007/s00348-003-0641-x},
	author = {M. St{\"o}hr and Roth, K. and Bernd J{\"a}hne}
}
@conference {Heiler-Schnoerr-03a,
	title = {Natural Statistics for Natural Image Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Computer Vision (ICCV 2003)},
	year = {2003},
	month = {Oct. 13-16},
	pages = {1259-1266},
	address = {Nice, France},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@conference {schimpf2003a,
	title = {Observational studies of parameters influencing air--sea gas exchange},
	booktitle = {Geophysical Research Abstracts},
	volume = {5},
	year = {2003},
	pages = {09328},
	author = {Uwe Schimpf and Nelson M. Frew and Kalkenings, R. and Christoph S. Garbe and Bernd J{\"a}hne}
}
@conference {Bruhn-et-al-03a,
	title = {Real-Time Optic Flow Computation with Variational Methods},
	booktitle = {Proc. Computer Analysis of Images and Patterns (CAIP{\textquoteright}03)},
	series = {LNCS},
	volume = {2756},
	year = {2003},
	pages = {222-229},
	publisher = {Springer},
	organization = {Springer},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Feddern, Christian and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Petkov, N. and Westenberg, M.A.}
}
@article {Cremers-et-al-02c,
	title = {Shape Statistics in Kernel Space for Variational Image Segmentation},
	journal = {Pattern Recognition},
	volume = {36},
	number = {9},
	year = {2003},
	pages = {1929--1943},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Cremers-et-al-02c,
	title = {Shape Statistics in Kernel Space for Variational Image Segmentation},
	journal = {Pattern Recognition},
	volume = {36},
	number = {9},
	year = {2003},
	pages = {1929{\textendash}1943},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {uttenweiler2003a,
	title = {Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences.},
	journal = {J Biomed Opt},
	volume = {8},
	number = {1},
	year = {2003},
	pages = {40--47},
	publisher = {Ruprecht-Karls-Universit{\"a}t Heidelberg, Institut f{\"u}r Physiologie und Pathophysiologie Medical Biophysics, Im Neuenheimer Feld 326, 69120 Heidelberg, Germany. dietmar.uttenweiler@urz.uni-heidelberg.de},
	abstract = {We present an approach for significantly improving the quantitative analysis of motion in noisy fluorescence microscopic image sequences. The new partial differential equation based method is a general extension of a 2-D nonlinear anisotropic diffusion filtering scheme to a specially adapted 3D nonlinear anisotropic diffusion filtering scheme, with two spatial image dimensions and the time t in the image sequence as the third dimension. Motion in image sequences is considered as oriented, line-like structures in the spatiotemporal x,y,t domain, which are determined by the structure tensor method. Image enhancement is achieved by a structure adopted smoothing kernel in three dimensions, thereby using the full 3D information inherent in spatiotemporal image sequences. As an example for low signal-to-noise ratio (SNR) microscopic image sequences we have applied this method to noisy in vitro motility assay data, where fluorescently labeled actin filaments move over a surface of immobilized myosin. With the 3D anisotropic diffusion filtering the SNR is significantly improved (by a factor of 3.8) and closed object structures are reliably restored, which were originally degraded by noise. Generally, this approach is very valuable for all applications where motion has to be measured quantitatively in low light level fluorescence microscopic image sequences of cellular, subcellular, and molecular processes.},
	doi = {10.1117/1.1527627},
	url = {http://dx.doi.org/10.1117/1.1527627},
	author = {D. Uttenweiler and C. Weber and Bernd J{\"a}hne and Rainer H. A. Fink and Schaar, H.}
}
@article {Cremers-Schnoerr-02d,
	title = {Statistical Shape Knowledge in Variational Motion Segmentation},
	journal = {Image and Vision Comp.},
	volume = {21},
	number = {1},
	year = {2003},
	pages = {77-86},
	author = {Daniel Cremers and Christoph Schn{\"o}rr}
}
@conference {Schellewald-Schnoerr-03a,
	title = {Subgraph Matching with Semidefinite Programming},
	booktitle = {Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}03)},
	year = {2003},
	month = {May 14-16},
	address = {Palermo, Italy},
	author = {Schellewald, C. and Schn{\"o}rr, C.}
}
@conference {garbe2003a,
	title = {A surface renewal model to analyze infrared image sequences for the study of air-sea heat and gas exchange},
	booktitle = {Geophysical Research Abstracts},
	year = {2003},
	pages = {11893},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne}
}
@conference {Cremers-Sochen-Schnoerr-03a,
	title = {Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling},
	booktitle = {Scale Space Methods in Computer Vision},
	volume = {2695},
	year = {2003},
	pages = {388--400},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@conference {Cremers-Sochen-Schnoerr-03a,
	title = {Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling},
	booktitle = {Scale Space Methods in Computer Vision},
	series = {LNCS},
	volume = {2695},
	year = {2003},
	pages = {388{\textendash}400},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@conference {Kohlberger-et-al-03b,
	title = {Variational Dense Motion Estimation Using the Helmholtz Decomposition},
	booktitle = {Scale Space Methods in Computer Vision},
	series = {LNCS},
	volume = {2695},
	year = {2003},
	pages = {432{\textendash}448},
	publisher = {Springer},
	organization = {Springer},
	author = {Kohlberger, T. and M{\'e}min, E. and Schn{\"o}rr, C.},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@techreport {Bruhn-et-al-03b,
	title = {Variational Optic Flow Computation in Real-Time},
	number = {89},
	year = {2003},
	note = {\em IEEE Trans. Image Processing\/, revised and resubmitted},
	month = {May},
	institution = {Dept. Math. and Comp. Science},
	type = {Fachrichtung 6.1 {\textendash} Mathematik, Technical Report},
	address = {Saarland University, Germany},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Feddern, Christian and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@incollection {spies2002f,
	title = {3D-Blattbewegung und Wachstum},
	year = {2002},
	pages = {267--270},
	publisher = {Wichmann},
	url = {http://d-nb.info/96618503X},
	author = {Hagen Spies and Bernd J{\"a}hne},
	editor = {Thomas Luhmann}
}
@incollection {klar2002,
	title = {3D-Str{\"o}mungsmessung in Kiesporen},
	year = {2002},
	pages = {247--250},
	publisher = {Wichmann},
	url = {http://d-nb.info/96618503X},
	author = {Michael Klar and P. Stybalkowski and Hagen Spies and Bernd J{\"a}hne},
	editor = {Thomas Luhmann}
}
@article {Hinterberger-et-al-02,
	title = {Analysis of Optical Flow Models in the Framework of Calculus of Variations},
	journal = {Numer. Funct. Anal. Optimiz.},
	volume = {23},
	number = {1/2},
	year = {2002},
	pages = {69{\textendash}89},
	author = {Hinterberger, Walter and Scherzer, Otmar and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@article {Keuchel-et-al-03a,
	title = {Automatic Land Cover Analysis for Tenerife by Supervised Classification using Remotely Sensed Data},
	journal = {Remote Sensing of Environment},
	year = {2002},
	note = {Subitted},
	author = {Keuchel, J. and Naumann, S. and Heiler, M. and Siegmund, A.}
}
@conference {long2002,
	title = {A closer look at short waves generated by wave interactions with adverse currents},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {121--128},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	author = {S. R. Long and J. Klinke},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {Bruhn-et-al-02b,
	title = {Combining the Advantages of Local and Global Optic Flow Methods},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {454{\textendash}462},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Bruhn, Andr{\'e}s and Weickert, Joachim and Christoph Schn{\"o}rr},
	editor = {van Gool, L.}
}
@conference {spies2002b,
	title = {Dense parameter fields from total least squares},
	booktitle = {Proceedings of the 24th DAGM Symposium on Pattern Recognition},
	volume = {LNCS 2449},
	year = {2002},
	pages = {379--386},
	publisher = {Springer},
	organization = {Springer},
	abstract = {A method for the interpolation of parameter fields estimated by total least squares is presented. This is applied to the study of dynamic processes where the motion and further values such as divergence or brightness changes are parameterised in a partial differential equation. For the regularisation we introduce a constraint that restricts the solution only in the subspace determined by the total least squares procedure. The performance is illustrated on both synthetic and real test data.},
	doi = {10.1007/3-540-45783-6_46},
	author = {Hagen Spies and Christoph S. Garbe},
	editor = {Luc Van Gool}
}
@conference {Bruhn-et-al-02a,
	title = {Designing 3{\textendash}D Nonlinear Diffusion Filters for High Performance Cluster Computing},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {290{\textendash}297},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Bruhn, Andr{\'e}s and Jakob, Tobias and Fischer, Markus and Kohlberger, Timo and Weickert, Joachim and Br{\"u}ning, Ulrich and Christoph Schn{\"o}rr},
	editor = {van Gool, L.}
}
@article {Cremers-et-al-02b,
	title = {Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford{\textendash}Shah functional},
	journal = {Int. J. Computer Vision},
	volume = {50},
	number = {3},
	year = {2002},
	pages = {295{\textendash}313},
	author = {Daniel Cremers and Tischh{\"a}user, Florian and Weickert, Joachim and Christoph Schn{\"o}rr}
}
@conference {zappa2002,
	title = {Effect of microscale wave breaking on air-water gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {23--29},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0023},
	author = {Christopher J. Zappa and William E. Asher and Jessup, A. T. and J. Klinke and S. R. Long},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {spies2002e,
	title = {Estimating expansion rates from range data sequences},
	booktitle = {15th International Conference on Vision Interface},
	year = {2002},
	pages = {339 - 346},
	author = {Hagen Spies and John L. Barron}
}
@conference {spies2002,
	title = {Evaluating the range flow motion constraint.},
	booktitle = {ICPR},
	year = {2002},
	pages = {517--},
	author = {Hagen Spies and John L. Barron}
}
@article {wenig2002,
	title = {Intercontinental transport of nitrogen oxide pollution plumes},
	journal = {acpd},
	volume = {3},
	year = {2002},
	pages = {2151--2165},
	doi = {10.5194/acpd-2-2151-2002},
	author = {Mark Wenig and N. Spichtinger and A. Stohl and G. Held and S. Beirle and T. Wagner and Bernd J{\"a}hne and Ulrich Platt}
}
@conference {schimpf2002a,
	title = {On the investigations of statistical properties of the micro turbulence at the ocean surface},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {51--57},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0051},
	author = {Uwe Schimpf and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {scharr2002,
	title = {A linear model for simultaneous estimation of 3D motion and depth},
	booktitle = {Proceedins of IEEE Workshop on Motion and Video Computing 2002, Orlando},
	year = {2002},
	doi = {10.1109/MOTION.2002.1182240},
	author = {Hanno Scharr and K{\"u}sters, R.}
}
@conference {spies2002a,
	title = {Local models for dynamic processes in image sequences},
	booktitle = {Dynamic Perception},
	year = {2002},
	pages = {59--64},
	publisher = {Aka GmbH},
	organization = {Aka GmbH},
	author = {Hagen Spies and Tobias Dierig and Christoph S. Garbe and W{\"u}rtz, R. P.},
	editor = {Lappe, M.}
}
@conference {garbe2002b,
	title = {Measuring important parameters for air-sea heat exchange},
	booktitle = {ThermoSense},
	volume = {4710},
	year = {2002},
	pages = {171--182},
	publisher = {SPIE},
	organization = {SPIE},
	doi = {10.1117/12.459564},
	author = {Christoph S. Garbe and Uwe Schimpf and Bernd J{\"a}hne},
	editor = {Maldague, X. P. and Rozlosnik, A. E.}
}
@conference {garbe2002a,
	title = {Measuring the sea surface heat flux and probability distribution of surface renewal events},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {109-114},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0109},
	author = {Christoph S. Garbe and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {klar2002a,
	title = {A miniaturized 3-D particle-tracking velocimetry system to measure the pore flow within a gravel layer},
	booktitle = {Proc. 11th Int. Symp. Applications of Laser Techniques to Fluid Mechanics},
	year = {2002},
	pages = {2.3},
	url = {http://in3.dem.ist.utl.pt/lxlaser2002/papers.asp},
	author = {Michael Klar and P. Stybalkowski and Hagen Spies and Bernd J{\"a}hne}
}
@conference {garbe2002e,
	title = {Mixed OLS-TLS for the estimation of dynamic processes with a linear source term},
	booktitle = {Proceedings of the 24th DAGM Symposium on Pattern Recognition},
	volume = {2449},
	year = {2002},
	pages = {463--471},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	abstract = {We present a novel technique to eliminate strong biases in parameter estimation were part of the data matrix is not corrupted by errors. Problems of this type occur in the simultaneous estimation of optical flow and the parameter of linear brightness change as well as in range flow estimation. For attaining highly accurate optical flow estimations under real world situations as required by a number of scientific applications, the standard brightness change constraint equation is violated. Very often the brightness change has to be modelled by a linear source term. In this problem as well as in range flow estimation, part of the data term consists of an exactly known constant. Total least squares (TLS) assumes the error in the data terms to be identically distributed, thus leading to strong biases in the equations at hand. The approach presented in this paper is based on a mixture of ordinary least squares (OLS) and total least squares, thus resolving the bias encountered in TLS alone. Apart from a thorough performance analysis of the novel estimator, a number of applications are presented.},
	doi = {10.1007/3-540-45783-6_56},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne},
	editor = {Luc Van Gool}
}
@article {gee_02_molecular,
	title = {A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution},
	journal = {Helv. Chim. Acta},
	volume = {85},
	year = {2002},
	pages = {618-632},
	author = {Gee, P. J. and Fred A. Hamprecht and Schuler, L. D. and van Gunsteren, W. F. and Duchardt, E. and Schwalbe, H. and Albert, M. and Seebach, D.}
}
@conference {Cremers-Schnoerr-02,
	title = {Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {472{\textendash}480},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Daniel Cremers and Christoph Schn{\"o}rr},
	editor = {van Gool, L.}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision -- ECCV 2002)},
	volume = {2351},
	year = {2002},
	pages = {93--108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Johansen, P. and Nielsen, M.}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision {\textendash} ECCV 2002)},
	series = {lncs},
	volume = {2351},
	year = {2002},
	pages = {93{\textendash}108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Nielsen, M. and Johansen, P.}
}
@conference {schimpf2002,
	title = {Novel insights into heat transfer across the aqueous boundary layer by infrared imagery and its application to air-sea exchange processes},
	booktitle = {Proceedings of Eurotherm 71 on Visualization, Imaging and Data Analysis In Convective Heat and Mass Transfer},
	year = {2002},
	author = {Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne}
}
@conference {bock2002,
	title = {Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {39--44},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0039},
	author = {E. J. Bock and J. B. Edson and Nelson M. Frew and T. Hara and Horst Hau{\ss}ecker and Bernd J{\"a}hne and W. R. McGilles and S. P. McKenna and R. K. Nelson and Uwe Schimpf and B. M. Uz},
	editor = {M. A. Donelan and W. M. Drennan and R. Wanninkhof and E. S. Saltzman}
}
@techreport {Schellewald-et-al-02a,
	title = {Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views},
	number = {02/2002},
	year = {2002},
	note = {\em Image and Vision Comp.\/, submitted},
	month = {Feb.},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.}
}
@conference {haussecker2002,
	title = {Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	note = {invited},
	pages = {103--108},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0103},
	author = {Horst Hau{\ss}ecker and Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@article {spies2002d,
	title = {Range flow estimation.},
	journal = {Computer Vision and Image Understanding},
	volume = {85},
	number = {3},
	year = {2002},
	pages = {209--231},
	abstract = {We discuss the computation of the instantaneous 3D displacement vector fields of deformable surfaces from sequences of range data. We give a novel version of the basic motion constraint equation that can be evaluated directly on the sensor grid. The various forms of the aperture problem encountered are investigated and the derived constraint solutions are solved in a total least squares (TLS) framework. We propose a regularization scheme to compute dense full flow fields from the sparse TLS solutions. The performance of the algorithm is analyzed quantitatively for both synthetic and real data. Finally we apply the method to compute the 3D motion field of living plant leaves.},
	doi = {10.1006/cviu.2002.0970},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron}
}
@conference {hara2002a,
	title = {Surface wave observations during CoOP experiments and their relations to air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {45--49},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	author = {T. Hara and B. M. Uz and H. Wei and J. B. Edson and Nelson M. Frew and W. R. McGilles and S. P. McKenna and E. J. Bock and Horst Hau{\ss}ecker and Uwe Schimpf},
	editor = {M. A. Donelan and W. M. Drennan and R. Wanninkhof and E. S. Saltzman}
}
@conference {garbe2002c,
	title = {Thermographic measurements in environmental and bio sciences},
	booktitle = {Quantitative Infrared Thermography},
	volume = {6},
	year = {2002},
	pages = {253--259},
	url = {http://qirt.gel.ulaval.ca/archives/qirt2002/papers/033.pdf},
	author = {Christoph S. Garbe and Uwe Schimpf and Ulrich Schurr and Bernd J{\"a}hne}
}
@conference {garbe2002d,
	title = {Thermographic measurements on plant leaves},
	booktitle = {ThermoSense},
	volume = {4710},
	year = {2002},
	pages = {407--416},
	publisher = {SPIE},
	organization = {SPIE},
	abstract = {An important process of plant physiology is the transpiration of plant leaves. It is actively controlled by pores (stomata) in the leaf and the governing feature for vital factors such as gas exchange and water transport affixed to which is the nutrient transport from the root to the shoot. Because of its importance, the transpiration and water transport in leaves have been extensively studied. However, current measurement techniques provide poor spatial and temporal resolution. With the use of one single low-NETD infrared camera important parameter of plant physiology such as transpiration rates, heat capacity per unit area of the leaf and the water flow velocity can be measured to high temporal and special resolution by techniques presented in this paper. The latent heat flux of a plant, which is directly proportional to the transpiration rate, can be measured with passive thermography. Here use is made of the linear relationship between the temperature difference between a non transpiring reference body and the transpiring leaf and the latent heat flux. From active thermography the heat capacity per unit area of the leaf can be measured. This method is termed active, because the response of the leaf temperature to an imposed energy flux is measured. Through the use of digital image processing techniques simultaneous measurements of the velocity field and temporal change of heated water parcels traveling through the leaf can be estimated from thermal image sequences.},
	doi = {10.1117/12.459590},
	author = {Christoph S. Garbe and Ulrich Schurr and Bernd J{\"a}hne},
	editor = {Maldague, X. P. and Rozlosnik, A. E.}
}
@conference {Keuchel-et-al-02b,
	title = {Unsupervised Image Partitioning with Semidefinite Programming},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {141{\textendash}149},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Keuchel, J. and Schn{\"o}rr, C. and Schellewald, C. and Daniel Cremers},
	editor = {van Gool, L.}
}
@conference {raisch2002,
	title = {Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences},
	booktitle = {Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing},
	year = {2002},
	pages = {645--650},
	abstract = {We present a new approach for determining particle fea tures such as length, curvature and hence flexibility in addition to the velocity of moving single actin filaments in noisy fluorescence image sequences. The reliable deter mination of these features is essential for the analysis of the elementary force generation process of single motor molecules including heart and skeletal muscle myosins. First, the image sequence is preprocessed with the 3D structure tensor - where the third dimension is the time t in the image sequence - in order to eliminate noise and to obtain a measure for extracting coherently moving par ticles. Secondly, we determine the contour of the actin filaments with subpixel accuracy using active contours. Thereafter, we readjust a local coordinate system to elim inate inner movements of the active contour. In the fourth step, we estimate the initial position of the active contour in the next frame from the displacement vector field cal culated by the 3D structure tensor. The accuracy of the method is verified on synthetic test data, a prerequisite for the quantitative use of this method on experimentally obtained data. Finally this is demonstrated for fluorescence image sequences of actin filament movement in the in vitro motility assay.},
	author = {Florian Raisch and Hanno Scharr and Norbert Kirchge{\ss}ner and Bernd J{\"a}hne and Rainer H. A. Fink and D. Uttenweiler}
}
@article {Wiehler-et-al-01,
	title = {A 1D analog VLSI implementation for non-linear real-time signal preprocessing},
	journal = {Real{\textendash}Time Imaging},
	volume = {7},
	number = {1},
	year = {2001},
	pages = {127{\textendash}142},
	author = {Wiehler, K. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S. and Grigat, R.{\textendash}R.}
}
@conference {spies2001d,
	title = {Accurate optical flow in noisy image sequences},
	booktitle = {ICCV},
	year = {2001},
	pages = {587--592},
	doi = {10.1109/ICCV.2001.937571},
	author = {Hagen Spies and Hanno Scharr}
}
@incollection {jaehne2001a,
	title = {Air-sea interaction: gas exchange},
	year = {2001},
	pages = {122 - 131},
	publisher = {Academic Press},
	doi = {10.1006/rwos.2001.0060},
	author = {Bernd J{\"a}hne},
	editor = {John H. Steele and Steve A. Thorpe and Karl K. Turekian}
}
@phdthesis {spies2001,
	title = {Analysing Dynamic Processes in Range Data Sequences},
	year = {2001},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis a technique to estimate dynamic processes in range data sequences is developed. This includes the instantaneous velocity field (range flow) of a deformable surface and local expansion rates. For the velocity estimation novel differential constraint equations for the depth and intensity data are introduced. These constraint equations are then combined in a general total least squares parameter estimation framework. It turns out that this method can be used for a much broader class of problems where the parameters describing dynamic changes in multi-dimensional data are to be estimated. In addition to a confidence measure does the algorithm yield type measures indicating whether and to what degree there are linear dependencies in the data. Due to these dependencies the full parameter (range flow) set can usually not be computed at all observed data points. To overcome this a special regularisation scheme is developed that makes use of the determined local data structure. Surface expansion rates can then be computed locally from such regularised range flow fields. After an accuracy analysis of the presented algorithms they are applied to study living castor bean leaves. It is shown that this method can be used to investigate the movement and growth of such leaves with high spatial and temporal resolution.},
	url = {http://www.ub.uni-heidelberg.de/archiv/1665},
	author = {Hagen Spies}
}
@techreport {Schellewald-et-al-01b,
	title = {Application of convex optimization techniques to the relational matching of object views},
	year = {2001},
	note = {in preparation},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.}
}
@phdthesis {saracoglu2001,
	title = {Bildanalyse von M-FISH},
	year = {2001},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Multiplex-FISH is a combinatorial staining technique that allows the simultaneous detection and discrimination of all human chromosomes. Using at least five fluorochromes all chromosomes can be uniquely labeled in a combinatorial way and identified by their specific spectral signature. Within this thesis I developed a novel approach for the automated analysis of M-FISH images, yielding robust classification results and allowing the analysis of M-FISH images of different experiments. The method combines spectral information with spatial information to tesselate the image into regions of similar color. Subsequently a cluster analysis in color space and a final classification step are performed to identify the biological targets. This approach is applicable to images of different M-FISH experiments, allowing the analysis of interchromosomal as well as intrachromosomal abnormalities in the genome. It also allows the 3D analysis of M-FISH labeled chromosomes in interphase nuclei.},
	url = {http://www.ub.uni-heidelberg.de/archiv/1805/},
	author = {Saracoglu, K.}
}
@conference {Keuchel-et-al-01a,
	title = {Convex Relaxations for Binary Image Partitioning and Perceptual Grouping},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {353{\textendash}360},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Keuchel, J. and Schellewald, C. and Daniel Cremers and Schn{\"o}rr, C.},
	editor = {Radig, B. and Florczyk, S.}
}
@conference {Cremers-et-al-01a,
	title = {Diffusion{\textendash}Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework},
	booktitle = {IEEE First Workshop on Variational and Level Set Methods in Computer Vision},
	year = {2001},
	pages = {237{\textendash}244},
	publisher = {IEEE Comp. Soc.},
	organization = {IEEE Comp. Soc.},
	address = {Vancouver, Canada},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@techreport {Heiler-et-al-02,
	title = {Efficient Feature Subset Selection for Support Vector Machines},
	number = {21/2001},
	year = {2001},
	note = {submitted},
	month = {Oct.},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Heiler, M. and Daniel Cremers and Schn{\"o}rr, C.}
}
@conference {Schellewald-et-al-01c,
	title = {Evaluation of Convex Optimization Techniques for the Weighted Graph{\textendash}Matching Problem in Computer Vision},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {361{\textendash}368},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.},
	editor = {Radig, B. and Florczyk, S.}
}
@article {Weickert-et-al-01a,
	title = {Fast parallel algorithms for a broad class of nonlinear variational diffusion approaches},
	journal = {Real{\textendash}Time Imaging},
	volume = {7},
	number = {1},
	year = {2001},
	pages = {31{\textendash}45},
	author = {Weickert, J. and Heers, J. and Schn{\"o}rr, C. and Zuiderveld, K.{\textendash}J. and Scherzer, O. and Stiehl, H.{\textendash}S.}
}
@article {hamprecht_01_fibrillation,
	title = {Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation},
	journal = {Resuscitation},
	volume = {50},
	year = {2001},
	pages = {287-296},
	author = {Fred A. Hamprecht and Achleitner, U. and Krismer, A. C. and Lindner, K. H. and Wenzel, V. and Strohmenger, H.-U. and Thiel, W. and van Gunsteren, W. F.}
}
@incollection {barron2001,
	title = {The fusion of image and range flow},
	year = {2001},
	pages = {174--192},
	publisher = {Springer},
	doi = {10.1007/3-540-45134-X_13},
	author = {John L. Barron and Hagen Spies},
	editor = {R. Klette and Huang, T. and Gimel{\textquoteright}farb, G.}
}
@conference {spies2001b,
	title = {A general framework for image sequence processing},
	booktitle = {Fachtagung Informationstechnik},
	year = {2001},
	pages = {125--132},
	author = {Hagen Spies and Bernd J{\"a}hne}
}
@article {Heers-et-al-01,
	title = {Globally{\textendash}Convergent Iterative Numerical Schemes for Non{\textendash}Linear Variational Image Smoothing and Segmentation on a Multi{\textendash}Processor Machine},
	journal = {IEEE Trans. Image Proc.},
	volume = {10},
	number = {6},
	year = {2001},
	pages = {852{\textendash}864},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@conference {Schellewald-et-al-01a,
	title = {Image labeling and grouping by minimizing linear functionals over cones},
	booktitle = {Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR{\textquoteright}01)},
	series = {Lect. Notes Comp. Science},
	volume = {2134},
	year = {2001},
	month = {Sept. 3{\textendash}5},
	pages = {267{\textendash}282},
	publisher = {Springer},
	organization = {Springer},
	address = {INRIA, Sophia Antipolis, France},
	author = {Schellewald, C. and Keuchel, J. and Schn{\"o}rr, C.},
	editor = {Figueiredo, M. and Zerubia, J. and Jain, A.K.}
}
@conference {Cremers-et-al-01b,
	title = {Nonlinear Shape Statistics via Kernel Spaces},
	booktitle = {Mustererkennung 2001},
	volume = {2191},
	year = {2001},
	pages = {269--276},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {B. Radig and S. Florczyk}
}
@conference {Cremers-et-al-01b,
	title = {Nonlinear Shape Statistics via Kernel Spaces},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {269{\textendash}276},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Radig, B. and Florczyk, S.}
}
@mastersthesis {schulzke2001,
	title = {Numerische Simulation von elementaren Kalziumfreisetzungsereignissen und photolytische Ca^2+-Freisetzung aus K{\"a}figmolek{\"u}len mittels Picosekundenlaser},
	year = {2001},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Schulzke, Erich}
}
@incollection {huang2001,
	title = {Ocean wave spectra and integral properties},
	year = {2001},
	pages = {82--123},
	publisher = {Cambridge University Press},
	doi = {10.1017/CBO9780511552076.005},
	author = {N. E. Huang and Y. Toba and Z. Shen and J. Klinke and Bernd J{\"a}hne and M. L. Banner},
	editor = {I. S. F. Jones and Y Toba}
}
@conference {kirchgessner2001,
	title = {Root Growth Analysis in Physiological Coordinates},
	booktitle = {International Conference on Image Analysis and Processing (ICIAP{\textquoteright}01)},
	year = {2001},
	author = {Norbert Kirchge{\ss}ner and Hagen Spies and Hanno Scharr and Ulrich Schurr}
}
@conference {kirchgessner2001a,
	title = {Root Growth Measurements in Object Coordinates},
	booktitle = {Proceedings of the 23th DAGM Symposium on Pattern Recognition},
	year = {2001},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/3-540-45404-7_31},
	author = {Norbert Kirchge{\ss}ner and Hagen Spies and Hanno Scharr and Ulrich Schurr}
}
@booklet {Schnoerr-ME,
	title = {Statistische Mustererkennung},
	year = {2001},
	note = {Unterlagen zur Vorlesung},
	author = {C. Schn{\"o}rr}
}
@mastersthesis {stybalkowski2001,
	title = {Str{\"o}mungsmessung in Sedimentporen mittel 3D Particle Tracking Velocimetry},
	year = {2001},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {P. Stybalkowski}
}
@conference {spies2001c,
	title = {Surface expansion from range data sequences},
	booktitle = {Proceedings of the 23th DAGM Symposium on Pattern Recognition},
	year = {2001},
	pages = {163--169},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We compute the range flow field, i.e. the 3D velocity field, of a moving deformable surface from a sequence of range data. This is done in a differential framework for which we derive a new constraint equation that can be evaluated directly on the sensor data grid. It is shown how 3D structure and intensity information can be used together in the estimation process. We then introduce a method to compute surface expansion rates from the now available velocity field. The accuracy of the proposed scheme is assessed on a synthetic data set. Finally we apply the algorithm to study 3D leaf motion and growth on a real range sequence.},
	doi = {10.1007/3-540-45404-7_22},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron}
}
@article {Weickert-Schnoerr-01b,
	title = {A Theoretical Framework for Convex Regularizers in PDE{\textendash}Based Computation of Image Motion},
	journal = {Int. J. Computer Vision},
	volume = {45},
	number = {3},
	year = {2001},
	pages = {245{\textendash}264},
	author = {Weickert, J. and Schn{\"o}rr, C.}
}
@incollection {jaehne2001b,
	title = {Thermographie in den Umwelt- und Biowissenschaften},
	year = {2001},
	publisher = {Deutsche Gesellschaft f{\"u}r zerst{\"o}rungsfreie Pr{\"u}fung e.V.},
	author = {Bernd J{\"a}hne and Christoph S. Garbe and Uwe Schimpf and Ulrich Schurr}
}
@article {Weickert-Schnoerr-01a,
	title = {Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint},
	journal = {J. Math. Imaging and Vision},
	volume = {14},
	number = {3},
	year = {2001},
	pages = {245{\textendash}255},
	author = {Weickert, J. and Schn{\"o}rr, C.}
}
@conference {kirchgessner2000,
	title = {3D-Modellierung von Pflan-zen-bl{\"a}t-tern mittels eines Depth-from-Motion Verfahrens},
	booktitle = {Proceedings of the 22th DAGM Symposium on Pattern Recognition},
	year = {2000},
	pages = {381--388},
	doi = {10.1007/978-3-642-59802-9_48},
	author = {Norbert Kirchge{\ss}ner and Hanno Scharr and Ulrich Schurr}
}
@incollection {spies2000e,
	title = {Analyzing particle movements at soil interfaces},
	year = {2000},
	pages = {648--649},
	publisher = {Academic Press},
	chapter = {A20},
	author = {Hagen Spies and Hermann Gr{\"o}ning and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@conference {scharr2000a,
	title = {An anisotropic diffusion algorithm with optimized rotation invariance},
	booktitle = {Proceedings of the 22th DAGM Symposium on Pattern Recognition},
	year = {2000},
	pages = {460--467},
	doi = {10.1007/978-3-642-59802-9_58},
	author = {Hanno Scharr and Weickert, J.}
}
@article {marxen2000,
	title = {Comparison of Gaussian particle center estimators and the achievable measurement density for particle tracking velocimetry},
	journal = {Exp. Fluids},
	volume = {29},
	year = {2000},
	pages = {145-153},
	abstract = {A series of numerical simulations were conducted to investigate the performance of two particle center estimation algorithms for Particle Tracking Velocimetry: a simple three-point Gaussian estimator and a least-square Gaussian. The smallest position error for images with reasonable noise levels was found to be approximately 0.03 pixels for both estimators using particles with diameters of 4 pixels. As both estimators performed equally well, use of the simple three-point Gaussian algorithm is recommended because it executes 100 times faster than the least-square algorithm. The maximum achievable measurement density and accuracy for the three-point Gaussian estimator were determined with a numerical simulation of an Oseen vortex. Uncertainty measures have been introduced to filter out unreliable displacement measurements. It was found that 4 to 5 velocity vectors could be obtained within a 32{\texttimes}32 pixel area with an average displacement error of 0.1 pixels. This doubles the spatial resolution of conventional cross-correlation based Particle Image Velocimetry at comparable accuracy.},
	doi = {10.1007/s003489900085},
	author = {Michael Marxen and Sullivan, P. E. and Loewen, M. R. and Bernd J{\"a}hne}
}
@conference {Wulf-et-al-00,
	title = {On the computational r{\^o}le of the primate retina},
	booktitle = {Proc. 2nd ICSC Symposium on Neural Computation (NC 2000)},
	year = {2000},
	month = {May, 23{\textendash}26},
	address = {Berlin, Germany},
	author = {Wulf, M. and Stiehl, H.S. and Schn{\"o}rr, C.},
	editor = {Bothe, H. and Rojas, R.}
}
@conference {spies2000b,
	title = {Dense range flow from depth and intensity data},
	booktitle = {ICPR},
	year = {2000},
	pages = {131--134},
	doi = {10.1109/ICPR.2000.905290},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron}
}
@conference {spies2000c,
	title = {Dense structure estimation via regularised optical flow},
	booktitle = {VMV 2000},
	year = {2000},
	pages = {57--64},
	publisher = {Aka GmbH, Berlin},
	organization = {Aka GmbH, Berlin},
	author = {Hagen Spies and Norbert Kirchge{\ss}ner and Hanno Scharr and Bernd J{\"a}hne},
	editor = {Girod, G. and Greiner, G. and Hans-Peter Seidel and H. Niemann}
}
@conference {Cremers-et-al-00a,
	title = {Diffusion Snakes Using Statistical Shape Knowledge},
	booktitle = {Proc. Algebraic Frames for the Perception-Action Cycle},
	series = {lncs},
	volume = {1888},
	year = {2000},
	month = {Sept. 10-11},
	pages = {164{\textendash}174},
	publisher = {Springer},
	organization = {Springer},
	address = {Kiel},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim and Schellewald, Christian},
	editor = {Sommer, G. and Zeevi, Y.}
}
@conference {scharr2000c,
	title = {Flame front analysis in turbulent combustion},
	booktitle = {Mustererkennung 2000},
	year = {2000},
	pages = {325--332},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-59802-9_41},
	author = {Hanno Scharr and Bernd J{\"a}hne and S. B{\"o}ckle and J. Kazenwadel and T. Kunzelmann and C. Schulz and N. Kr{\"u}ger},
	editor = {G. Sommer and Ch. Perwasser}
}
@conference {schimpf2000a,
	title = {On the investigations of micro turbulence at the water surface using infrared imaging},
	booktitle = {IARGSS 2000},
	year = {2000},
	doi = {10.1109/IGARSS.2000.858091},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@proceedings {Schnoerr-00,
	title = {K{\"u}nstliche Intelligenz: Special Issue on Medical Computer Vision},
	volume = {3},
	year = {2000},
	month = {July},
	editor = {Schn{\"o}rr, C.}
}
@conference {Cremers-et-al-00b,
	title = {Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes},
	booktitle = {3rd Workshop on Dynamic Perception},
	series = {Proc. in Artificial Intelligence},
	volume = {9},
	year = {2000},
	pages = {117{\textendash}122},
	publisher = {Akad. Verlagsges.},
	organization = {Akad. Verlagsges.},
	address = {Berlin, Germany},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim and Schellewald, Christian},
	editor = {Baratoff, G. and Neumann, H.}
}
@conference {spies2000,
	title = {Material transport and structure changes at soil-water interfaces},
	booktitle = {Filters and Drainage in Geotechnical and Environmental Engineering},
	year = {2000},
	pages = {91--97},
	author = {Hagen Spies and Horst Hau{\ss}ecker and H.-J. K{\"o}hler}
}
@incollection {geissler2000a,
	title = {Monitoring living biomass with in situ microscopy},
	year = {2000},
	pages = {632--633},
	publisher = {Academic Press},
	chapter = {A12},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {haussecker2000c,
	title = {Motion},
	year = {2000},
	pages = {347--395},
	publisher = {Academic Press},
	chapter = {10},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@article {uttenweiler2000,
	title = {Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.},
	journal = {Biophys J},
	volume = {78},
	number = {5},
	year = {2000},
	pages = {2709--2715},
	publisher = {Institut f{\"u}r Physiologie und Pathophysiologie, Ruprecht-Karls-Universit{\"a}t Heidelberg, 69120 Heidelberg, Germany. uttenweiler@urz.uni-heidelberg.de},
	abstract = {We present a novel approach of automatically measuring motion in series of microscopic fluorescence images. As a differential method, the three-dimensional structure tensor technique is used to calculate the displacement vector field for every image of the sequence, from which the velocities are subsequently derived. We have used this method for the analysis of the movement of single actin filaments in the in vitro motility assay, where fluorescently labeled actin filaments move over a myosin decorated surface. With its fast implementation and subpixel accuracy, this approach is, in general, very valuable for analyzing dynamic processes by image sequence analysis.},
	doi = {10.1016/S0006-3495(00)76815-9},
	author = {D. Uttenweiler and C. Veigel and R. Steubing and Carlo G{\"o}tz and Sven Mann and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Rainer H. A. Fink}
}
@conference {barron2000,
	title = {Optical and range flow to measure 3D plant growth and motion},
	booktitle = {Image Vision Computing New Zealand},
	year = {2000},
	pages = {68--77},
	author = {John L. Barron and Liptay, A. and Hagen Spies}
}
@incollection {schmundt2000,
	title = {Optical leaf growth analysis},
	year = {2000},
	pages = {640-641},
	publisher = {Academic Press},
	chapter = {A16},
	author = {Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@techreport {scharr2000b,
	title = {Optimal separable interpolation of color images with bayer array format},
	year = {2000},
	institution = {DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany},
	url = {http://www.ub.uni-heidelberg.de/archiv/12680/},
	author = {Hanno Scharr}
}
@phdthesis {scharr2000,
	title = {Optimale Operatoren in der Digitalen Bildverarbeitung},
	year = {2000},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {A novel method for optimal choice of filter operators is presented. Single filters as well as filter families with linear or nonlinear optimal criteria can be addressed by different weighted norms in wave number domain. Coefficients of filters with arbitrary support can be optimized in floating point or fixed point accuracy. Numerous examples are presented to illustrate optimization of filters e.g by isotropy, rotation invariance or accuracy of absolute value, and each is followed by discussions of results. Errors are decreased by up to 3 orders of magnitude compared to standard parameter choices. In an investigation of displacements calculated by the well known structure tensor approach with optimal filters the results are improved in two respects. Firstly, estimation errors are decreased by approximately two orders of magnitude and secondly, they are more robust with respect to noise. The greatly improved performance is demonstrated by a tracking application. A novel explicit discretization for anisotropic diffusion filtering using optimal filters is introduced. Numerical errors of this scheme obtained by comparison with a novel analytical solution are about 1.5 to 2.5 orders of magnitude smaller than the errors introduced by the best comparable standard method. The new method clearly outperforms the latter in a reconstruction test. Due to the higher stability with respect to larger time steps, the new method is 3 to 4 times faster than other explicit schemes.},
	url = {http://www.ub.uni-heidelberg.de/archiv/962},
	author = {Hanno Scharr}
}
@incollection {engelmann2000b,
	title = {Particle-tracking velocimetry},
	year = {2000},
	pages = {646-647},
	publisher = {Academic Press},
	chapter = {A19},
	author = {D. Engelmann and M. St{\"o}hr and Christoph S. Garbe and Frank Hering and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@article {Weickert-Schnoerr-00a,
	title = {PDE{\textendash}Based Preprocessing of Medical Images},
	journal = {K{\"u}nstliche Intelligenz},
	volume = {3},
	year = {2000},
	month = {July},
	pages = {5{\textendash}10},
	author = {Weickert, J. and Schn{\"o}rr, C.}
}
@incollection {jaehne2000a,
	title = {Performance characteristics of low-level motion estimation in spatiotemporal images},
	year = {2000},
	note = {invited, Workshop Schloss Dagstuhl, March 16-20, 1998},
	pages = {pp. 139-152},
	publisher = {Kluwer, Dordrecht},
	doi = {10.1007/978-94-015-9538-4_12},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {R. Klette and H. S. Stiehl and K. Vincken and M. Viergever}
}
@conference {barron2000a,
	title = {Quantitative regularized range flow},
	booktitle = {Vision Interface},
	year = {2000},
	pages = {203--210},
	author = {John L. Barron and Hagen Spies}
}
@conference {spies2000a,
	title = {Regularised range flow},
	booktitle = {European Conference on Computer Vision (ECCV)},
	volume = {2},
	year = {2000},
	pages = {785--799},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how this algorithm can be used to detect motion discontinuities. This can can be used to segment the data into independently moving regions. The different types of aperture problem encountered are discussed. Our regularisation scheme then takes the various types of flow vectors and combines them into a smooth flow field within the previously segmented regions. A quantitative performance analysis is presented on both synthetic and real data. The proposed algorithm is also applied to range data from castor oil plants obtained with the Biris laser range sensor to study the 3-D motion of plant leaves.},
	doi = {10.1007/3-540-45053-X_50},
	author = {Hagen Spies and Bernd J{\"a}hne and John L. Barron},
	editor = {Vernon, D.}
}
@incollection {schimpf2000b,
	title = {Small-scale air-sea interaction with thermography},
	year = {2000},
	pages = {638--639},
	publisher = {Academic Press},
	chapter = {A15},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {kuemmerlen2000,
	title = {Thermography to measure water relations of plant leaves},
	year = {2000},
	pages = {636--637},
	publisher = {Academic Press},
	chapter = {A14},
	author = {Bernd K{\"u}mmerlen and Stefan Dauwe and Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@phdthesis {schimpf2000,
	title = {Untersuchung des Gasaustausches und der Mikroturbulenz an der Meeresoberfl{\"a}che mittels Thermographie},
	year = {2000},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/545},
	author = {Uwe Schimpf}
}
@conference {Schnoerr-handbook-99b,
	title = {Variational Adaptive Smoothing and Segmentation},
	booktitle = {Computer Vision and Applications: A Guide for Students and Practitioners},
	year = {2000},
	pages = {459{\textendash}482},
	publisher = {Academic Press},
	organization = {Academic Press},
	address = {San Diego},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Hau{\ss}ecker, H.}
}
@conference {Schnoerr-Weickert-00,
	title = {Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives},
	booktitle = {Mustererkennung 2000},
	series = {Informatik aktuell},
	year = {2000},
	note = {(invited paper)},
	month = {Sept., 13{\textendash}15},
	publisher = {Springer},
	organization = {Springer},
	address = {Kiel, Germany},
	author = {Schn{\"o}rr, C. and Weickert, J.},
	editor = {Sommer, G.}
}
@inbook {stoehr1999,
	title = {4D particle tracking velocimetry applied to gas-liquid reactors},
	booktitle = {In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control.},
	year = {1999},
	pages = {270--279},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {M. St{\"o}hr and Christoph S. Garbe and D. Engelmann and Peter Gei{\ss}ler and Gomes, S. and Frank Hering and Bernd J{\"a}hne and F. Keil and W. Mackens and H. Vo{\ss} and Wagner, H.-G..},
	editor = {J. Werther}
}
@conference {schimpf1999b,
	title = {Air--sea gas transfer and micro turbulence at the ocean surface using infrared image processing},
	booktitle = {Geoscience and Remote Sensing Symposium, 1999. IGARSS apos;99 Proceedings. IEEE 1999 International},
	volume = {1},
	year = {1999},
	pages = {11--13},
	abstract = {To obtain an insight into the transfer process at the air-water interface new techniques for the quantitative investigation of the gas exchange have been developed. The controlled flux technique, CFT (Jahne et al. 1989) uses heat as a proxy tracer for gases to measure the air-sea gas transfer velocity with a high spatial and temporal resolution. The results of a field cruise and a laboratory study are discussed and compared with a model (Schimpf et al.) predicting the sea surface temperature distribution based on surface renewal (Danckwerts 1970). The sea surface temperature fluctuations associated with the interplay of diffusive and turbulent transport give direct insight into the mechanisms of gas transfer. Using infrared image processing the spatial structure of the micro turbulence at the ocean surface is analyzed.},
	doi = {10.1109/IGARSS.1999.773384},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@incollection {spies1999,
	title = {Analyzing particle movements at soil interfaces},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {699-718},
	publisher = {Academic Press},
	chapter = {32},
	author = {Hagen Spies and Oliver Beringer and Hermann Gr{\"o}ning and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {geissler1999a,
	title = {Depth-from-focus for the measurement of size distributions of small particles},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {623-646},
	publisher = {Academic Press},
	chapter = {29},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@phdthesis {schmundt1999,
	title = {Development of an Optical Flow Based System for the Precise Measurement of Plant Growth},
	year = {1999},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Dominik Schmund}
}
@conference {spies1999a,
	title = {Differential range flow estimation},
	booktitle = {Proceedings of the 21th DAGM Symposium on Pattern Recognition},
	year = {1999},
	note = {DAGM award},
	pages = {309--316},
	doi = {10.1007/978-3-642-60243-6_36},
	author = {Hagen Spies and Horst Hau{\ss}ecker and Bernd J{\"a}hne and John L. Barron}
}
@conference {koehler1999,
	title = {Fluidisation and deformation of submerged soil due to fluctuating water level},
	booktitle = {XII Europ. Conference on Soil Mechanics and Geotechnical Engineering},
	year = {1999},
	pages = {1109--1115},
	author = {H.-J. K{\"o}hler and Hagen Spies and Oliver Beringer and Horst Hau{\ss}ecker}
}
@conference {jaehne1999r,
	title = {The Heidelberg Aelotron --- a new facility for laboratory investigations of small-scale air-sea interaction},
	booktitle = {The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	note = {Poster},
	doi = {10.5281/zenodo.14857},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Uwe Schimpf and G{\"u}nther Balschbach},
	editor = {M. L. Banner}
}
@conference {jaehne1999m,
	title = {The Heidelberg Aeolotron - a new facility for laboratory investigations of small scale air-sea interaction},
	booktitle = {Poster presented at: The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	abstract = {The study of small-scale air sea interaction still lacks suitable facilities. No facilities are available with large fetches and correspondingly high wave ages. Furthermore almost no large facility is suitable for measurements with sea water, is clean enough for controllable experiments with surface films or sufficiently gas tight for gas exchange measurements. Currently a new large annular wind/wave facility with quasi unlimited fetch is under construction at the Institute for Environmental Physics of Heidelberg University. An annular facility is not a new idea. A 40 m diameter facility ({\textquoteleft}{\textquoteleft}storm basin{\textquoteright}{\textquoteright}) was already built shortly after World War II in Sevastopol for wind/wave interaction studies. Various small circular facilities for air-sea gas exchange studies have been used since the late seventies at Heidelberg University and later at Woods Hole Oceanographic Institution for air-sea gas exchange studies. The new facility builds on the experience with these facilities but now reaches a critical size. It has an outer diameter of 10 m, the channel is 0.65 m wide and 2.4 m high and can be filled with water up to a height of 1.2 m. It is thus a rather deep facility. Only the wind/wave flume of the Hydraulic facility at Scripps Institution of Oceanography is deeper with a depth of 1.5 m. Since the maximum phase speed of the waves is 3.4 m/s, high wave age conditions can be reached at least for low and medium wind speeds. The facility is designed for a maximum wind speed of 15 m/s. Water currents can be generated separately by a set of thrusters. The air space is gas tight and the materials that come into contact with the water and air make experiments possible with de-ionized water, artificial seawater, surfactants, and reactive gases. Water temperatures and heat fluxes across the interface range from 5o to 35oC and from -0.5 to 1 kW/m2, respectively. We plan to focus in the next decade on measurements revealing the mechanism of air-sea gas transfer including the effects of surfactants and waves. The new facility will be open for guest scientists. The experimental possibilities of the facility are detailed to show the opportunities for international cooperation.},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Uwe Schimpf and G{\"u}nther Balschbach}
}
@techreport {Heers-et-al-98b,
	title = {Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation},
	number = {283/99},
	year = {1999},
	month = {Jan.},
	institution = {Comp. Sci. Dept., AB KOGS},
	type = {Technical report},
	address = {University of Hamburg, Germany},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@conference {Wulf-et-al-99a,
	title = {A model of spatiotemporal receptive fields in the primate retina},
	booktitle = {Proc. 1st G{\"o}ttingen Conf. German Neurosci. Soc.},
	volume = {II},
	year = {1999},
	author = {Wulf, M. and Stiehl, H.S. and Schn{\"o}rr, C.},
	editor = {Elsner, N. and Eysel, U.}
}
@conference {Wulf-et-al-99b,
	title = {Modeling spatiotemporal receptive fields in the primate retina},
	booktitle = {Proc. Cognitive Neurosci. Conf.},
	year = {1999},
	month = {Oct. 31 {\textendash} Nov. 3},
	publisher = {Hanse{\textendash}Wissenschaftskolleg},
	organization = {Hanse{\textendash}Wissenschaftskolleg},
	address = {Bremen, Germany},
	author = {Wulf, M. and Stiehl, H.S. and Schn{\"o}rr, C.}
}
@incollection {haussecker1999c,
	title = {Motion},
	volume = {2: Signal Processing and Pattern Recognition},
	year = {1999},
	pages = {309--396},
	publisher = {Academic Press},
	chapter = {13},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@article {Peckar-et-al-99,
	title = {Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements},
	journal = {J. Math. Imaging and Vision},
	volume = {10},
	number = {2},
	year = {1999},
	pages = {143{\textendash}162},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.{\textendash}S.}
}
@incollection {engelmann1999a,
	title = {Particle-tracking velocimetry},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {663-697},
	publisher = {Academic Press},
	chapter = {31},
	author = {D. Engelmann and M. St{\"o}hr and Christoph S. Garbe and Frank Hering and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {schmundt1999a,
	title = {Plant-leaf growth studied by image sequence analysis},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {719-735},
	publisher = {Academic Press},
	chapter = {33},
	author = {Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {jaehne1999k,
	title = {Principles of Filter Design},
	volume = {2},
	year = {1999},
	pages = {125--151},
	publisher = {Academic Press},
	author = {Bernd J{\"a}hne and Hanno Scharr and K{\"o}rkel, S. and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@conference {blom1999,
	title = {Quality classification and process control of micro-spot laser welding},
	booktitle = {Proceedings of the Ninth International FAIM Conference - Flexible Automation and Intelligent Manufacturing, Tilburg},
	year = {1999},
	pages = {929--941},
	publisher = {Begell House},
	organization = {Begell House},
	author = {Blom, A. H. M and Brassel, Jan-Oliver and Brocke, Martin von and Mittler, M.},
	editor = {Ashayeri, Jalal and Sullivan, William and Ahmad, Munir}
}
@conference {Weickert-Schnoerr-99b,
	title = {R{\"a}umlich{\textendash}zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabh{\"a}ngigen Glattheitstermen},
	booktitle = {Mustererkennung 1999},
	series = {Informatik aktuell},
	year = {1999},
	pages = {317{\textendash}324},
	publisher = {Springer},
	organization = {Springer},
	author = {Weickert, J. and Schn{\"o}rr, C.},
	editor = {F{\"o}rstner, W. and Buhmann, J.M. and Faber, A. and Faber, P.}
}
@conference {schimpf1999,
	title = {Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	note = {Poster},
	doi = {10.5281/zenodo.14567},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {M. L. Banner}
}
@incollection {schimpf1999a,
	title = {Studies of small-scale air-sea interaction with active and passive thermography},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {751-762},
	publisher = {Academic Press},
	chapter = {35},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {kuemmerlen1999,
	title = {Thermography to measure water relations of plant leaves},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {763-781},
	publisher = {Academic Press},
	chapter = {36},
	author = {Bernd K{\"u}mmerlen and Stefan Dauwe and Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {engelmann1999,
	title = {Three dimensional flow dynamics beneath the air-water interface},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	pages = {181--184},
	doi = {10.5281/zenodo.14910},
	author = {D. Engelmann and Christoph S. Garbe and M. St{\"o}hr and Bernd J{\"a}hne}
}
@conference {haussecker1999a,
	title = {A total least squares framework for low-level analysis of dynamic scenes and processes},
	booktitle = {Proceedings of the 21th DAGM Symposium on Pattern Recognition},
	year = {1999},
	note = {DAGM award},
	pages = {240--249},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-60243-6_28},
	author = {Horst Hau{\ss}ecker and Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@conference {Schnoerr-handbook-99a,
	title = {Variational Methods for Adaptive Image Smoothing and Segmentation},
	booktitle = {Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition},
	volume = {2},
	year = {1999},
	pages = {451{\textendash}484},
	publisher = {Academic Press},
	organization = {Academic Press},
	address = {San Diego},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Hau{\ss}ecker, H. and Gei{\ss}ler, P.}
}
@mastersthesis {scholze1998,
	title = {Analyse der visuellen Stratigraphie alpiner Eisbohrkerne mittels digitaler Bildverarbeitung},
	year = {1998},
	school = {Fakult{\"a}t f{\"u}r Physik und Astronomie Universit{\"a}t Heidelberg},
	author = {Scholze, Marko}
}
@mastersthesis {spies1998,
	title = {Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen und Porenstr{\"o}mungen},
	year = {1998},
	school = {University of Heidelberg},
	author = {Hagen Spies}
}
@conference {Heers-et-al-98a,
	title = {A class of parallel algorithms for nonlinear variational image segmentation},
	booktitle = {Proc. Noblesse Workshop on Non{\textendash}Linear Model Based Image Analysis (NMBIA{\textquoteright}98)},
	year = {1998},
	month = {July, 1{\textendash}3},
	address = {Glasgow, Scotland},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@conference {Wiehler-et-al-98,
	title = {Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi{\textendash}Dimensional Signals},
	booktitle = {Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications},
	year = {1998},
	month = {April, 14{\textendash}17},
	address = {London},
	author = {Wiehler, K. and Grigat, R.{\textendash}R. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@mastersthesis {stoehr1998,
	title = {Entwicklung dreidimensionaler Particle Tracking Velocimetry zur Messung der Zweiphasenstr{\"o}mung in Gas-Fl{\"u}ssig-Reaktoren},
	year = {1998},
	school = {University of Heidelberg},
	author = {M. St{\"o}hr}
}
@conference {Heers-et-al-98c,
	title = {Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Image Proc.},
	year = {1998},
	month = {Oct. 4{\textendash}7},
	address = {Chicago},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@article {Peckar-et-al-98,
	title = {Linear and Incremental Estimation of Elastic Deformations in Medical Registration Using Prescribed Displacements},
	journal = {Machine Graphics \& Vision},
	volume = {7},
	number = {4},
	year = {1998},
	pages = {807{\textendash}829},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.{\textendash}S. and Spetzger, U.}
}
@conference {schimpf1998,
	title = {Measurements of air--sea gas transfer using active and passive thermography},
	booktitle = {Eurochem 387 "Remote Sensing of Slicks and Air--Sea Interactions"},
	year = {1998},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {haussecker1998,
	title = {Measurements of the air-sea gas transfer and its mechanisms by active and passive thermography},
	booktitle = {Proc. IEEE International Geoscience and Remote Sensing Symposium IGARSS {\textquoteright}98},
	volume = {1},
	year = {1998},
	pages = {484--486 vol.1},
	abstract = {In order to reliably measure air-sea gas transfer velocities in the field with a high spatial and temporal resolution a new technique has been developed called the controlled flux technique, CFT. The current implementation splits up into two independent techniques using active and passive thermography, respectively. The CFT field instrument has been successfully used during two research cruises along the California Pacific coast (MBL/CoOP, 1995) and on the North Atlantic (CoOP, 1997). In addition to in-situ gas transfer rates, thermography of the ocean surface gives direct insight into the mechanisms of gas transfer. It has been shown that surface renewal dominates the transfer processes even at low wind speeds.},
	doi = {10.1109/IGARSS.1998.702947},
	author = {Horst Hau{\ss}ecker and Uwe Schimpf and Bernd J{\"a}hne}
}
@conference {Peckar-et-al-98a,
	title = {Non-Rigid Image Registration Using a Parameter-Free Elastic Model},
	booktitle = {9th British Machine Vision Conference (BMVC{\textquoteleft}98)},
	year = {1998},
	month = {Sept. 14{\textendash}17},
	pages = {134{\textendash}143},
	address = {Southampton/UK},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.S.},
	editor = {Carter, J.N. and Nixon, M.S.}
}
@conference {Heers-et-al-dagm98,
	title = {Parallele und global konvergente iterative Minimierung nichtlinearer Variationsans{\"a}tze zur adaptiven Gl{\"a}ttung und Segmentation von Bildern},
	booktitle = {Mustererkennung 1998},
	series = {Informatik aktuell},
	year = {1998},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@article {schmundt1998,
	title = {Quantitative analysis of the local rates of growth of dicot leaves at a high temporal and spatial resolution, using image sequence analysis},
	journal = {Plant Journal},
	volume = {16},
	year = {1998},
	pages = {505--514},
	abstract = {A new technique is presented for quantitative mapping of dicot leaf growth at high spatial and temporal resolution, at a speed making online-mapping feasible. Time lapse video sequences of growing leaves are captured by a personal computer (PC) with a frame-grabber board and a standard CCD camera, and evaluated using algorithms that have been recently developed to analyse motion in dynamic image sequences. Growth can be detected at under 1\% per hour, with a time resolution of minutes and a spatial resolution of a few millimeters. The new technique has been verified by comparing it with classical approaches to map integrated growth. Diurnal courses of leaf growth of Ricinus communis and tobacco are presented to demonstrate the localised character of growth in leaves. Expansion growth is restricted to the base of the leaf and is restricted to a few hours at the end of the night and the start of the day. The high resolution of the method is illustrated by mapping the responses to step-changes in leaf turgor. A 3 bar turgor jump led to a rapid transient expansion over the entire length of the leaf that was partially reversed when the turgor was relaxed.},
	doi = {10.1046/j.1365-313x.1998.00314.x},
	author = {Dominik Schmund and Mark Stitt and Bernd J{\"a}hne and Ulrich Schurr}
}
@conference {Wiehler-et-al-98b,
	title = {Real{\textendash}Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology},
	booktitle = {Mustererkennung 1998},
	series = {Informatik aktuell},
	year = {1998},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Wiehler, K. and Grigat, R.{\textendash}R. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@conference {engelmann1998,
	title = {Stereo particle tracking},
	booktitle = {Proc. of the 8th International Symposium on Flow Visualization},
	year = {1998},
	pages = {240--249},
	doi = {10.5281/zenodo.14906},
	author = {D. Engelmann and Christoph S. Garbe and M. St{\"o}hr and Peter Gei{\ss}ler and Frank Hering and Bernd J{\"a}hne}
}
@article {Schnoerr-jmiv-98,
	title = {A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction},
	journal = {J. of Math. Imag. and Vision},
	volume = {8},
	number = {3},
	year = {1998},
	pages = {271{\textendash}292},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1998b,
	title = {Study of dynamical processes with tensor-based spatiotemporal image processing techniques},
	booktitle = {ECCV 1998},
	volume = {1407},
	year = {1998},
	pages = {322--336},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These applications require high accuracy for the estimation of the motion field since the most interesting parameters of the dynamical processes studied are contained in first-order derivatives of the motion field or in dynamical changes of the moving objects. Therefore the performance and optimization of low-level motion estimators is discussed. A tensor method tuned with carefully optimized derivative filters yields reliable and dense displacement vector fields (DVF) with an accuracy of up to a few hundredth pixels/frame for real-world images. The accuracy of the tensor method is verified with computer-generated sequences and a calibrated image sequence. With the improvements in accuracy the motion estimation is now rather limited by imperfections in the CCD sensors, especially the spatial nonuniformity in the responsivity. With a simple two-point calibration, these effects can efficiently be suppressed. The application of the techniques to the analysis of plant growth, to ocean surface microturbulence in IR image sequences, and to sediment transport is demonstrated.},
	doi = {10.1007/BFb0054750},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Hanno Scharr and Hagen Spies and Dominik Schmund and Ulrich Schurr}
}
@conference {haussecker1998a,
	title = {Tensor-based image sequence processing techniques for the study of dynamical processes},
	booktitle = {Proc. Intern. Symp. On Real-time Imaging and Dynamic Analysis},
	year = {1998},
	pages = {704--711},
	publisher = {International Society of Photogrammetry and Remote Sensing, ISPRS, Commision V},
	organization = {International Society of Photogrammetry and Remote Sensing, ISPRS, Commision V},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne}
}
@phdthesis {Schnoerr-habil-98,
	title = {Variational approaches to Image Segmentation and Feature Extraction},
	year = {1998},
	note = {in German},
	publisher = {University of Hamburg, Comp. Sci. Dept.},
	type = {phdHabilitation thesis},
	address = {Hamburg, Germany},
	author = {Schn{\"o}rr, C.}
}
@conference {Fornland-Schnoerr-97,
	title = {Determining the Dominant Plane from Uncalibrated Stereo Vision by a Robust and Convergent Iterative Approach without Correspondence},
	booktitle = {Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR{\textquoteright}97)},
	year = {1997},
	month = {June 17-19},
	address = {San Juan, Puerto Rico},
	author = {Fornland, P{\"a}r and Christoph Schn{\"o}rr}
}
@article {hamprecht_97_generation,
	title = {Generation of pseudo-native protein structures for threading},
	journal = {Proteins},
	volume = {28},
	year = {1997},
	pages = {522-529},
	author = {Fred A. Hamprecht and Scott, W. R. P. and van Gunsteren, W. F.}
}
@mastersthesis {schultz1997,
	title = {Geometrische Kalibrierung von CCD-Kameras},
	year = {1997},
	school = {University of Heidelberg},
	author = {Michael Schultz}
}
@mastersthesis {stolz1997,
	title = {Infrarot-Absorptionsspektroskopie zur Bestimmung der Luftkonzentration von Spurengasen},
	year = {1997},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Stolz, Andreas}
}
@conference {scharr1997,
	title = {Numerische Isotropieoptimierung von FIR-Filtern mittels Quergl{\"a}ttung},
	booktitle = {Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig},
	year = {1997},
	pages = {199--208},
	doi = {10.1007/978-3-642-60893-3_39},
	author = {Hanno Scharr and K{\"o}rkel, S. and Bernd J{\"a}hne},
	editor = {E. Paulus and F. M. Wahl}
}
@incollection {liss1997,
	title = {Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases},
	year = {1997},
	pages = {1--33},
	publisher = {Cambridge University Press},
	doi = {10.1017/CBO9780511525025.002},
	author = {Peter S. Liss and A. J. Watson and E. J. Bock and Bernd J{\"a}hne and William E. Asher and Nelson M. Frew and L. Hasse and Gerald M. Korenowski and L. Merlivat and L. F. Phillips and P. Schl{\"u}ssel and D. K. Woolf},
	editor = {Peter S. Liss and Robert A. Duce}
}
@conference {jaehne1997j,
	title = {The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes},
	booktitle = {Proc.\ 3D Image Analysis and Synthesis{\textquoteright}97, Erlangen (Germany), November 17--18, 1997},
	year = {1997},
	pages = {107--114},
	publisher = {infix},
	organization = {infix},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Ulrich Platt and Ulrich Schurr and Mark Stitt},
	editor = {Hans-Peter Seidel and B. Girod and H. Niemann}
}
@conference {Gerloff-et-al-97,
	title = {Semi{\textendash}Automated Analysis of SXM Images},
	booktitle = {Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM{\textquoteright}97)},
	year = {1997},
	month = {July, 20{\textendash}25},
	address = {Hamburg, Germany},
	author = {Gerloff, S. and Hagemann, A. and Schn{\"o}rr, C. and Tieck, S. and Stiehl, H.S. and Dombrowski, R. and Dreyer, M. and Wiesendanger, R.}
}
@conference {Peckar-et-al-97a,
	title = {Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements},
	booktitle = {Proc. 9th Int. Conf. on Image Analysis and Processing (ICIAP{\textquoteright}97)},
	year = {1997},
	month = {Sept. 17{\textendash}19},
	address = {Florence, Italy},
	author = {Peckar, W. and Schn{\"o}rr, C. and Rohr, K. and Stiehl, H.S.}
}
@conference {Schnoerr-icaos-96,
	title = {Convex Variational Segmentation of Multi-Channel Images},
	booktitle = {Proc. 12th Int. Conf. on Analysis and Optimization of Systems: Images, Wavelets and PDE{\textquoteright}s},
	series = {Lect. Notes in Control and Information Sciences},
	volume = {219},
	year = {1996},
	month = {June 26-28},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Paris},
	author = {Schn{\"o}rr, C.}
}
@mastersthesis {scharr1996,
	title = {Digitale Bildverarbeitung und Papier Texturanalyse mittels Pyramiden und Grauwertstatistiken am Beispiel der Papierformation},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Bei der Beurteilung der Qualit{\"a}t von Papier ist die G{\"u}te der Formation ein wichtiges Kriterium. Definitionsgem{\"a}{\ss}, nach ISO-Norm 4046-1978, versteht man unter Formation die Art und Weise, wie Fasern verteilt, angeordnet und vermischt sind, um ein Papier zu bilden [Praast und G{\"o}ttsching, 1991]. F{\"u}r Papiermacher und -verarbeiter ist die Formation die Verteilung von hellen und dunklen Flecken, Wolken bzw. Flocken die man sieht, wenn man ein unbedrucktes Blatt Papier gegen das Licht h{\"a}lt (siehe auch [Bolam, 1961]). Die beiden ausschlaggebenden Merkmale sind die mittlere Flockengr{\"o}{\ss}e und ihr Kontrast gegen den Hintergrund. Visuell ist die G{\"u}te der Massenverteilung auch f{\"u}r den Laien z.B. mittels paarweisem Vergleich (PV) der Proben einfach und zuverl{\"a}ssig durchzuf{\"u}hren (siehe [Hradezky, 1977]). Bisher k{\"o}nnen industrielle Formationsme{\ss}ger{\"a}te den Kontrast sehr gut, aber die Flockengr{\"o}{\ss}e nur relativ unzuverl{\"a}ssig bestimmen. Zudem sind die zuverl{\"a}ssigsten Methoden sehr rechenintensiv.},
	author = {Hanno Scharr}
}
@conference {spedding1996,
	title = {Estimating $\omega(k)$ in an unsteady, wind-generated surface wave field from the 2D complex wavelet transform of the surface slope},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {373--382},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14564},
	author = {G. R. Spedding and J. Klinke and S. R. Long},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@mastersthesis {schimpf1996,
	title = {Fourieranalyse mikroskaliger Temperaturfluktuationen der Wasseroberfl{\"a}che},
	year = {1996},
	school = {University of Heidelberg},
	author = {Uwe Schimpf}
}
@conference {Schnoerr-et-al-96,
	title = {On Globally Asymptotically Stable Continuous-Time CNNs for Adaptive Smoothing of Multidimensional Signals},
	booktitle = {Proc. 4th IEEE Int. Workshop on Cellular Neural Networks and their Applications},
	year = {1996},
	month = {June 24-26},
	address = {Seville, Spain},
	author = {Schn{\"o}rr, C. and Stiehl, H.-S. and Grigat, R.-R.}
}
@conference {scholz1996,
	title = {In-situ determination of cell concentration in bioreactors with a new depth-from-focus technique},
	booktitle = {Proc.\ Optical 3-D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997},
	year = {1996},
	pages = {392--399},
	author = {Thomas Scholz and Bernd J{\"a}hne and H. Suhr and G. Wehnert and P. Geissler and K. Schneider}
}
@mastersthesis {spoerl1996,
	title = {Integration von Fuzzy-Methoden in ein System zur Auswertung von Sensordaten},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Sp{\"o}rl, Andreas}
}
@conference {Schnoerr-dagm-96,
	title = {Repr{\"a}sentation von Bilddaten mit einem konvexen Variationsansatz},
	booktitle = {Mustererkennung 1996},
	series = {Informatik aktuell},
	year = {1996},
	pages = {21{\textendash}28},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin, Heidelberg},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Gei{\ss}ler, P. and Hau{\ss}ecker, H. and Hering, I.}
}
@techreport {Schnoerr-96,
	title = {Representation of Images by a Convex Variational Diffusion Approach},
	number = {FBI-HH-M-256/96},
	year = {1996},
	month = {Feb.},
	institution = {FB Informatik},
	address = {Universit{\"a}t Hamburg},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1996a,
	title = {The role of active vision in exploring growth, transport, and exchange processes},
	booktitle = {Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996},
	volume = {4},
	year = {1996},
	pages = {194--202},
	publisher = {infix},
	organization = {infix},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Frank Hering and G{\"u}nther Balschbach and J. Klinke and Martin Lell and Dominik Schmund and Michael Schultz and Ulrich Schurr and Mark Stitt and Ulrich Platt},
	editor = {B Mertsching}
}
@article {schurr1996,
	title = {Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis},
	journal = {Botanica Acta},
	volume = {109},
	year = {1996},
	pages = {405--412},
	doi = {10.1111/j.1438-8677.1996.tb00590.x},
	author = {Ulrich Schurr and B. Schuberth and R. Aloni and K. S. Pradel and Dominik Schmund and Bernd J{\"a}hne and C. I. Ullrich}
}
@conference {haussecker1996a,
	title = {A tensor approach for local structure analysis in multi-dimensional images},
	booktitle = {3D Image Analysis and Synthesis},
	year = {1996},
	pages = {171--178},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Girod, G. and H. Niemann and Hans-Peter Seidel}
}
@article {Schnoerr-et-al-computing-96,
	title = {A Variational Approach to the Design of Early Vision Algorithms},
	journal = {Computing Suppl.},
	volume = {11},
	year = {1996},
	pages = {149-165},
	author = {Schn{\"o}rr, C. and Sprengel, R. and Neumann, B.}
}
@conference {janssen1996,
	title = {The VIERS scatterometer algorithm},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {749--754},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13994},
	author = {J. A. M. Janssen and C. J. Calkoen and van Halsema, D. and Bernd J{\"a}hne and P. A. E. M. Janssen and W. A. Oost and P. Snoeij and J. Vogelzang and H. Wallbrink},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {schmundt1995a,
	title = {The circular wind wave facilities at the University of Heidelberg},
	booktitle = {Air-Water Gas Transfer - Selected papers from the Third International Symposium on Air-Water Gas Transfer},
	year = {1995},
	pages = {505--516},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10404},
	author = {Dominik Schmund and Thomas M{\"u}nsterer and Lauer, H. and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {geissler1995b,
	title = {Depth-from-Focus Verfahren zur absoluten Gr{\"o}{\ss}en- und Konzentrationsbestimmung kleiner Teilchen},
	booktitle = {Bildverarbeitung{\textquoteright}95 - Forschen, Entwickeln, Anwenden},
	year = {1995},
	pages = {365--380},
	publisher = {Technische Akademie Esslingen},
	organization = {Technische Akademie Esslingen},
	doi = {10.5281/zenodo.14710},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Schmidt, C. and H. Suhr and G. Wehnert},
	editor = {Ahlers, R. -J.}
}
@phdthesis {scholz1995,
	title = {Ein Depth from Focus-Verfahren zur On Line-Bestimmung der Zell-kon-zentration bei Fermentationsprozessen},
	year = {1995},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Thomas Scholz}
}
@conference {haussecker1995c,
	title = {Horizontal and vertical spatial structures of turbulence beneath short wind waves},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {384},
	abstract = {A poorly understood aspect of surface-wave physics is wave dissipation. Wave breaking may lead to enhanced turbulence levels and consequently enhanced viscous dissipation at the smallest scales. Recent laboratory, field and modelling studies have provided preliminary evidence that wave breaking may lead to dissipation levels one to two orders of magnitude greater than those in the classical logarithmic layer. However, the experimental techniques to study these phenomena are not well developed, and consequently the turbulence structure near the water surface is poorly understood. A method is described to simultaneously investigate the horizontal and vertical structure of the turbulent flow and wave fields at the water surface and in an intersecting two-dimensional vertical plane. The technique combines an active infrared technique (CFT) in the horizontal plane with digital particle imaging velocimetry (DPIV) in the vertical plane. The DPIV uses a CCD camera in an underwater housing to track submerged particles moving through a pulsed vertical laser light sheet aligned in the wind direction. The CFT uses infrared radiators to heat up the upper 20 micrometres of the water column and observes the resulting heat patterns with an infrared camera. Both instruments use digital image processing techniques to compute the flow variables and images of the turbulent structures. These initial experiments were conducted in the large wind-wave channel at Delft Hydraulics, The Netherlands, in September/October, 1994. The images show a dramatic transition from laminar to turbulent flow with the onset of significant wave activity coincident with vorticity transport from the surface to deeper layers.},
	author = {Horst Hau{\ss}ecker and R. Shear and W. K. Melville and Bernd J{\"a}hne}
}
@conference {scholz1995a,
	title = {In situ determination of cell concentration in bioreactors with a new depth from focus technique},
	booktitle = {Computer Analysis of Images and Patterns},
	volume = {970},
	year = {1995},
	pages = {392--399},
	publisher = {Springer},
	organization = {Springer},
	abstract = {A new depth-from-focus technique is introduced that requires only a single image to determine the distance of simple shaped objects from the focal plane. The technique has been applied to evaluate the concentration of cells in a bioreactor during a fermentation process. Since the low-intensity fluorescent light gathered by a light-amplifying camera results in images of low signal-to-noise ratio, an adaptive smoothing filter is used. A sharpness criterion derived from bandpass decomposition of the image in a Laplacian pyramid is used to define a virtual measuring volume. In this volume, process parameters such as cell concentration, cell size and intensity of cell fluorescence are evaluated. The technique is also suitable for other types of simple objects.},
	doi = {10.1007/3-540-60268-2_321},
	author = {Thomas Scholz and Bernd J{\"a}hne and H. Suhr and G. Wehnert and P. Geissler and K. Schneider}
}
@article {suhr1995a,
	title = {In-situ microscopy for on-line characterization of cell-populations in bioreactors, including concentration measurements by depth from focus},
	journal = {Biotechnology and Bioengineering},
	volume = {47},
	year = {1995},
	pages = {106--116},
	abstract = {A new technique is presented which allows the use of a front-end sensor head for in situ and on-line characterization of cell concentration and cell size during fermentation. An epifluorescence microscope is mounted in a port of a bioreactor viewing directly into the agitated broth. Still images from cells are generated using pulsed illumination. They are directly visualized on a monitor and used for automatic image analysis. The cell concentration and morphological information are determined by counting and evaluating the cell images with respect to their depth from focus characteristic. An in situ microscope was successfully tested during yeast fermentations and yielded results which correlated well with results from a hemocytometer.},
	doi = {10.1002/bit.260470113},
	author = {H. Suhr and G. Wehnert and K. Schneider and C. Bittner and Thomas Scholz and Peter Gei{\ss}ler and Bernd J{\"a}hne and T. Scheper}
}
@conference {Schnoerr-Peckar-95,
	title = {Motion-Based Identification of Deformable Templates},
	booktitle = {Proc. 6th Int. Conf. on Computer Analysis of Images and Patterns (CAIP {\textquoteright}95)},
	series = {Lect. Notes in Comp. Sci.},
	volume = {970},
	year = {1995},
	month = {Sept. 6-8},
	pages = {122-129},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	address = {Prague, Czech Republic},
	author = {Schn{\"o}rr, C. and Peckar, W.},
	editor = {V. Hlav{\'a}{\v c}, R. {\v S}{\'a}ra}
}
@conference {scheuermann1995,
	title = {Oberfl{\"a}chenkonturvermessung mikroskopischer Objekte durch Projektion statistischer Rauschmuster},
	booktitle = {Proc. 17. DAGM-Symposium Mustererkennung, Bielefeld, 13.-15. September 1995},
	year = {1995},
	pages = {319--326},
	author = {Scheuermann, T. and Pfundt, G. and Eyerer, P. and Bernd J{\"a}hne}
}
@book {jaehne1996,
	title = {Technische Bildverarbeitung - Maschinelles Sehen},
	year = {1995},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-61403-3},
	url = {http://d-nb.info/94569895X},
	author = {Bernd J{\"a}hne and R. Massen and B. Nickolay and H. Scharfenberg}
}
@mastersthesis {schmundt1995,
	title = {Voruntersuchung der Einsatzm{\"o}glichkeiten digitaler Bildverarbeitung zur Analyse von Transportvorg{\"a}ngen und Wachstumsprozessen in Pflanzen},
	year = {1995},
	note = {IUP D-422},
	school = {University of Heidelberg},
	author = {Dominik Schmund}
}
@conference {Schnoerr-dagm-94,
	title = {Bewegungssegmentation von Bildfolgen durch die Minimierung konvexer nicht-quadratischer Funktionale},
	booktitle = {Mustererkennung 1994},
	series = {Informatik Xpress},
	volume = {5},
	year = {1994},
	month = {September},
	pages = {178{\textendash}185},
	publisher = {Technische Universit{\"a}t Wien},
	organization = {Technische Universit{\"a}t Wien},
	author = {Schn{\"o}rr, C.},
	editor = {Kropatsch, W.G. and Bischof, H.}
}
@conference {Heikkonen-icpr-94,
	title = {Building Trajectories via Selforganization from Spatiotemporal Features},
	booktitle = {12th Int. Conf. on Pattern Recognition},
	year = {1994},
	month = {Oct 9-13},
	address = {Jerusalem, Israel},
	author = {Heikkonen, J. and Koikkalainen, P. and Schn{\"o}rr, C.}
}
@conference {Sprengel-Schnoerr-dagm-94,
	title = {Detection of Visual Data Transitions in Nonlinear Parameter Space},
	booktitle = {Mustererkennung 1994},
	series = {Informatik Xpress},
	volume = {5},
	year = {1994},
	month = {September},
	pages = {315{\textendash}323},
	publisher = {Technische Universit{\"a}t Wien},
	organization = {Technische Universit{\"a}t Wien},
	author = {Sprengel, R. and Schn{\"o}rr, C. and Neumann, B.},
	editor = {Kropatsch, W.G. and Bischof, H.}
}
@conference {scholz1994,
	title = {A new depth from focus technique for in situ determination of cell concentration in bioreactors},
	booktitle = {Proc. 16. DAGM-Symposium Mustererkennung},
	year = {1994},
	pages = {145--150},
	doi = {10.5281/zenodo.14888},
	author = {Thomas Scholz and Bernd J{\"a}hne and H. Suhr and G. Wehnert and Peter Gei{\ss}ler and K. Schneider}
}
@article {Schnoerr-Sprengel-bcyb-94,
	title = {A Nonlinear Regularization Approach to Early Vision},
	journal = {Biol. Cybernetics},
	volume = {72},
	year = {1994},
	pages = {141{\textendash}149},
	author = {Schn{\"o}rr, C. and Sprengel, R.}
}
@conference {Schnoerr-icpr-94,
	title = {Segmentation of Visual Motion by Minimizing Convex Non-Quadratic Functionals},
	booktitle = {12th Int. Conf. on Pattern Recognition},
	year = {1994},
	month = {Oct 9-13},
	address = {Jerusalem, Israel},
	author = {Schn{\"o}rr, C.}
}
@article {Schnoerr-jmiv-94,
	title = {Unique Reconstruction of Piecewise Smooth Images by Minimizing Strictly Convex Non-Quadratic Functionals},
	volume = {4},
	year = {1994},
	pages = {189{\textendash}198},
	author = {Schn{\"o}rr, C.}
}
@conference {Schnoerr-et-al-93,
	title = {Architekturkonzepte zur Bildauswertung},
	booktitle = {Grundlagen und Anwendungen der K{\"u}nstlichen Intelligenz, 17. Fachtagung f{\"u}r K{\"u}nstliche Intelligenz},
	year = {1993},
	pages = {268{\textendash}274},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin},
	author = {Schn{\"o}rr, C. and Niemann, H. and Kopecz, J.},
	editor = {Herzog, O. and Christaller, T. and Sch{\"u}tt, D.}
}
@article {Rohr-Schnoerr-ivc-93,
	title = {An Efficient Approach to the Identification of Characteristic Intensity Variations},
	volume = {11},
	number = {5},
	year = {1993},
	pages = {273{\textendash}277},
	author = {Rohr, Karl and Christoph Schn{\"o}rr}
}
@article {Schnoerr-pami-93,
	title = {On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow},
	journal = {pami},
	volume = {15},
	number = {10},
	year = {1993},
	pages = {1074{\textendash}1079},
	author = {Schn{\"o}rr, C.}
}
@conference {jaehne1993,
	title = {Image sequence analysis of ocean wind waves},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {257--268},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne and J. Klinke and Peter Gei{\ss}ler and Frank Hering},
	editor = {S. Sideman and K. Hijikata}
}
@conference {jaehne1993a,
	title = {Imaging of gas transfer across gas/liquid interfaces},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {247--256},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne},
	editor = {S. Sideman and K. Hijikata}
}
@conference {Sprengel-Schnoerr-dagm-93,
	title = {Nichtlineare Diffusion zur Integration visueller Daten - Anwendung auf Kernspintomogramme},
	booktitle = {Mustererkennung 1993, 15. DAGM-Symposium},
	year = {1993},
	pages = {134{\textendash}141},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Sprengel, R. and Schn{\"o}rr, C.},
	editor = {P{\"o}ppl, S.J. and Handels, H.}
}
@conference {wierzimok1993,
	title = {Quantitative imaging of transport in fluids with digital particle tracking velocimetry},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {297--308},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Dietmar Wierzimok and Frank Hering},
	editor = {S. Sideman and K. Hijikata}
}
@conference {jaehne1993d,
	title = {Shape from shading techniques for short ocean wind waves},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {269--281},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne and Stefan Waas and J. Klinke},
	editor = {S. Sideman and K. Hijikata}
}
@mastersthesis {schaum1993,
	title = {Subpixelgenaue Positionsbestimmungen in digitalen Bildern},
	year = {1993},
	note = {IUP D-376},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Schaum, M.}
}
@conference {janssen1993,
	title = {The VIERS scatterometer algorithm},
	booktitle = {Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1993},
	pages = {749--754},
	publisher = {University of Miami},
	organization = {University of Miami},
	doi = {10.5281/zenodo.13994},
	author = {J. A. M. Janssen and C. J. Calkoen and van Halsema, D. and Bernd J{\"a}hne and P. A. E. M. Janssen and W. A. Oost and P. Snoeij and J. Vogelzang and H. Wallbrink},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {jaehne1992a,
	title = {Calibration and accuracy of optical slope measurements for short wind waves},
	booktitle = {Optics of the Air-Sea Interface: Theory and Measurements},
	volume = {1749},
	year = {1992},
	pages = {222--233},
	doi = {10.1117/12.138851},
	author = {Bernd J{\"a}hne and H. Schultz},
	editor = {L. Estep}
}
@conference {halsema1992,
	title = {Comparisons of backscattering calculations with measurements made in a large wind/wave flume},
	booktitle = {Proc. IGARSS{\textquoteright}92},
	volume = {2},
	year = {1992},
	pages = {1451--1453},
	doi = {10.1109/IGARSS.1992.578480},
	author = {van Halsema, D. and C. J. Calkoen and W. A. Oost and P. Snoeij and J. Vogelzang and Bernd J{\"a}hne}
}
@article {Schnoerr-ijcv-92,
	title = {Computation of Discontinuous Optical Flow by Domain Decomposition and Shape Optimization},
	journal = {ijcv},
	volume = {8},
	number = {2},
	year = {1992},
	pages = {153{\textendash}165},
	author = {Schn{\"o}rr, C.}
}
@conference {Schnoerr-Neumann-dagm-92,
	title = {Ein Ansatz zur effizienten und eindeutigen Rekonstruktion st{\"u}ckweise glatter Funktionen},
	booktitle = {Mustererkennung 1992, 14. DAGM-Symposium},
	year = {1992},
	month = {sep},
	pages = {411{\textendash}416},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Dresden},
	author = {Schn{\"o}rr, C. and Neumann, B.},
	editor = {Fuchs, S. and Hoffmann, R.}
}
@conference {snoeij1992,
	title = {Microwave backscatter measurements made from the Dutch Ocean Research Tower {\textquoteright}Noordwijk{\textquoteright} compared with model predictions},
	booktitle = {Proc. IGARSS{\textquoteright}92},
	year = {1992},
	doi = {10.1109/IGARSS.1992.576808},
	author = {P. Snoeij and van Halsema, D. and W. A. Oost and C. J. Calkoen and Bernd J{\"a}hne and J. Vogelzang}
}
@conference {riemer1991a,
	title = {Bildfolgenanalyse im Orts-Wellenzahl-Raum},
	booktitle = {Proc. 13. DAGM-Symposium zur Mustererkennung 1991, M{\"u}nchen},
	year = {1991},
	note = {DAGM main award},
	doi = {10.1007/978-3-662-08896-8_28},
	author = {Riemer, K. and Thomas Scholz and Bernd J{\"a}hne}
}
@mastersthesis {scholz1991,
	title = {Bildfolgenanalyse von Wasseroberfl{\"a}chenwellen auf dem Transputer},
	year = {1991},
	note = {IUP D-342},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Thomas Scholz}
}
@conference {snoeij1991,
	title = {Comparison of microwave backscatter measurements and small-scale surface wave measurements made from the Dutch ocean research tower {\textquoteright}Noordwijk{\textquoteright}},
	booktitle = {Proceedings IGARSS {\textquoteright}91},
	volume = {3},
	year = {1991},
	pages = {1289--1292},
	doi = {10.1109/IGARSS.1991.579315},
	author = {P. Snoeij and van Halsema, D. and W. A. Oost and C. J. Calkoen and J. Vogelzang and Bernd J{\"a}hne}
}
@article {Schnoerr-ijcv-91,
	title = {Determining Optical Flow for Irregular Domains by Minimizing Quadratic Functionals of a Certain Class},
	journal = {ijcv},
	volume = {6},
	number = {1},
	year = {1991},
	pages = {25{\textendash}38},
	author = {Schn{\"o}rr, C.}
}
@conference {halsema1991,
	title = {Dual-polarized scatterometer measurements of wind and mechanically generated waves in a very large wind/wave flume, the VIERS-1 project},
	booktitle = {Proc.\ 5th Int. Coll. Physical Measurements and Signatures in Remote Sensing, Courchevel, France},
	volume = {ESA SP-319},
	year = {1991},
	pages = {247--252},
	author = {van Halsema, D. and C. J. Calkoen and W. A. Oost and P. Snoeij and J. Vogelzang and Bernd J{\"a}hne}
}
@conference {calkoen1991a,
	title = {Evaluation of a two-scale model using extensive radar backscatter and wave measurements in a large wind-wave flume},
	booktitle = {Proceedings IGARSS {\textquoteright}91},
	volume = {2},
	year = {1991},
	pages = {885--888},
	doi = {10.1109/IGARSS.1991.580259},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {C. J. Calkoen and P. Snoeij and van Halsema, D. and J. Vogelzang and W. A. Oost and C. J. Calkoen and P. Snoeij and J. Vogelzang and W. A. Oost and van Halsema, D.}
}
@phdthesis {Schnoerr-diss,
	title = {Funktionalanalytische Methoden zur Bestimmung von Bewegungsinformation aus TV-Bildfolgen},
	year = {1991},
	publisher = {Fakult{\"a}t f{\"u}r Informatik, Universit{\"a}t Karlsruhe (TH)},
	type = {phd},
	author = {Schn{\"o}rr, C.}
}
@conference {halsema1991a,
	title = {Modulation of the microwave backscatter by long gravity waves as measured in a very large wind/wave flume},
	booktitle = {Proc. IGARSS {\textquoteright}91},
	volume = {3},
	year = {1991},
	pages = {1293--1296},
	doi = {10.1109/IGARSS.1991.579316},
	author = {van Halsema, D. and P. Snoeij and C. J. Calkoen and W. A. Oost and J. Vogelzang and Bernd J{\"a}hne}
}
@conference {Bister-et-al-dagm-90,
	title = {Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Grauwertbildfolge},
	booktitle = {Mustererkennung 1990, 12. DAGM-Symposium},
	series = {Informatik-Fachberichte},
	volume = {254},
	year = {1990},
	pages = {44{\textendash}51},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Oberkochen-Aalen},
	author = {Bister, D. and Rohr, K. and Schn{\"o}rr, C.},
	editor = {Gro{\ss}kopf, R.E.}
}
@conference {Schnoerr-bmvc-90,
	title = {Computation of Discontinuous Optical Flow by Domain Decomposition and Shape Optimization},
	booktitle = {Proc. British Machine Vision Conference},
	year = {1990},
	month = {sep},
	pages = {109{\textendash}114},
	address = {Oxford/UK},
	author = {Schn{\"o}rr, C.}
}
@conference {snoeij1990a,
	title = {Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank},
	booktitle = {Proc. IGARSS{\textquoteright}90},
	year = {1990},
	pages = {2157--2160},
	doi = {10.1109/IGARSS.1990.688958},
	author = {P. Snoeij and C. J. Calkoen and W. A. Oost and van Halsema, D. and J. Vogelzang and Bernd J{\"a}hne}
}
@conference {snoeij1990,
	title = {A high resolution scatterometer for radar backscatter measurements of wind generated waves in wind/wave tanks},
	booktitle = {European Micro Wave Conference 1990},
	year = {1990},
	abstract = {In February 1988, combined measurements of microwave backscatter, wind, waves and gas exchange have been carried out in the large Delft Hydraulics wind/wave tank, with wind generated waves. In March 1989 a second exaperiment took place in the huge outdoor wave tank, the Delta tank, with wind generated waves and mechanically generated waves. These experiments were perfonned in the framework of the VIERS-1 project. In this project a number of Dutch and German institutes cooperate. Main objective is to increase the knowledge about the physics involved in the interaction of microwaves and the ocean surface and, from that point, to an improvement of the algorithms used for determination of wind speed and direction from satelliteborne microwave scatterometers. A second objective is to study the relation between the gas exchange at the water surface and the microwave backscatter. To achieve these objectives two wind/wave tank experiments and one ocean based platform experiment are scheduled. In this paper, the VIERS-l program will be outlined. The features of a specially designed high resolution scatterometer will be described and some results of both tank expermnents will be shown.},
	doi = {10.1109/EUMA.1990.336154},
	author = {P. Snoeij and J. Vogelzang and C. J. Calkoen and W. A. Oost and van Halsema, D. and Bernd J{\"a}hne}
}
@conference {halsema1989b,
	title = {Comparisons of X-band Radar Backscatter Measurements with Area extended wave slop measurements made in a large Wind/Wave Tank},
	booktitle = {Proc. IGARSS{\textquoteright}89},
	volume = {5},
	year = {1989},
	pages = {2997--3001},
	doi = {10.1109/IGARSS.1989.575986},
	author = {van Halsema, D. and C. J. Calkoen and W. A. Oost and P. Snoeij and Bernd J{\"a}hne}
}
@inbook {halsema1989a,
	title = {First results of the VIERS-1 experiment},
	booktitle = {Radar Scattering from Modulated Wind Waves},
	year = {1989},
	pages = {49--57},
	publisher = {Kluwer Academic Publishers},
	organization = {Kluwer Academic Publishers},
	doi = {10.1007/978-94-009-2309-6_5},
	author = {Halsema, D. and Bernd J{\"a}hne and C. J. Calkoen and P. Snoeij},
	editor = {W. A. Oost and Komen, G. J. and W. A. Oost}
}
@conference {Schnoerr-dagm-89,
	title = {Zur Sch{\"a}tzung von Geschwindigkeitsvektorfeldern in Bildfolgen mit einer richtungsabh{\"a}ngigen Glattheitsforderung},
	booktitle = {Mustererkennung 1989, 11. DAGM-Symposium},
	series = {Informatik-Fachberichte},
	volume = {219},
	year = {1989},
	pages = {294{\textendash}301},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Hamburg},
	author = {Schn{\"o}rr, C.},
	editor = {Burkhardt, H. and H{\"o}hne, K.H. and Neumann, B.}
}
@mastersthesis {schoder1984,
	title = {Messung der Transfergeschwindigkeit des Gasaustausches durch Blasenoberfl{\"a}chen},
	year = {1984},
	note = {IUP D-188},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Schoder, Martin}
}
@incollection {jaehne1980a,
	title = {The influence of surface tension on gas exchange: measurements of gas exchange with alcohol/water mixtures in a circular wind-water tunnel},
	number = {17},
	year = {1980},
	pages = {103--108},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10262},
	author = {Bernd J{\"a}hne and U. Siegenthaler},
	editor = {H. C. Broecker and L. Hasse}
}
@article {jaehne1979,
	title = {Measurements of gas exchange and momentum transfer in a circular wind-water tunnel},
	journal = {Tellus},
	volume = {31},
	year = {1979},
	pages = {321--329},
	doi = {10.1111/j.2153-3490.1979.tb00911.x},
	author = {Bernd J{\"a}hne and K. O. M{\"u}nnich and U. Siegenthaler}
}
