@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}
}
@proceedings {7060,
	title = {Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes},
	volume = {PMLR 130},
	year = {2021},
	pages = {478-486},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Look, A and Rakitsch, B and Kandemir, M}
}
@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@unpublished {7088,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 {7072,
	title = {Transforming Information Into Knowledge: How Computational Methods Reshape Art History},
	journal = {Digital Humanities Quaterly (DHQ)},
	volume = {15},
	year = {2021},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {7076,
	title = {Transforming Information Into Knowledge: How Computational Methods Reshape Art History},
	journal = {Digital Humanities Quaterly (DHQ)},
	volume = {15},
	year = {2021},
	url = {http://digitalhumanities.org/dhq/vol/15/3/000560/000560.html},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@unpublished {7062,
	title = {Understanding Event-Generation Networks via Uncertainties},
	year = {2021},
	publisher = {arXiv preprint},
	url = {https://arxiv.org/abs/2104.04543v1},
	author = {Bellagente, M and Hau{\ss}mann, M and Luchmann, M and Plehn, T}
}
@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}
}
@proceedings {7038,
	title = {Das Objekt jenseits der Digitalisierung},
	volume = {7},
	year = {2020},
	abstract = {Der technische Fortschritt der letzten Jahrzehnte hat disruptive Ver{\"a}nderungen f{\"u}r Gesellschaft, Wirtschaft und Wissenschaft gebracht: Die Digitalisierung ist ein Resultat dessen und beeinflusst, wie wir auf Daten zugreifen, diese verarbeiten, analysieren und Ergebnisse verbreiten. Obwohl dadurch bereits ein Wandel eingeleitet worden ist, kann das Digitalisieren von Textdokumenten oder Bildern nicht das endg{\"u}ltige Ziel sein. Der Fokus aktueller Bestrebungen sollte vielmehr auf der M{\"o}glichkeit der Weiterverarbeitung von Digitalisaten liegen {\textendash} dies schlie{\ss}t eine intelligente Informationsverarbeitung ein. Der Wert der Digitalisierung besteht nicht in der blo{\ss}en Anh{\"a}ufung digitaler Sammlun- gen, sondern in der Tatsache, dass sie weitaus mehr erm{\"o}glicht als das Analoge und daf{\"u}r die notwendigen Grundvoraussetzungen schafft.
Die Problematik besteht nun darin, dass die meisten Verarbeitungs- und Analyse- methoden f{\"u}r digitale Daten noch analog oder diesen nachempfunden sind: So werden digitale Sammlungen und darin enthaltene Bilder h{\"a}ufig noch mit den eigenen Augen, in traditionell komparativer Weise betrachtet und evaluiert. Dass dies aufgrund der F{\"u}lle an Daten nicht effizient ist, muss an dieser Stelle nicht betont werden. Obwohl das ana- loge und das digitale Bild den gleichen Inhalt zeigen k{\"o}nnen, haben beide doch ganz unterschiedliche Substrate. Ein Unterschied besteht zum Beispiel darin, dass digitale Bilder im Gegensatz zu analogen einfach manipuliert und dupliziert werden k{\"o}nnen. Das Digitale ist nicht das Analoge in neuer Form, und so bedarf es genuin digitaler Methoden f{\"u}r die Verarbeitung digitaler Daten. Durch die Entwicklung computerge- st{\"u}tzter Verfahren entstehen neue M{\"o}glichkeiten, Inhalte zu erschlie{\ss}en: Dazu geh{\"o}ren Ans{\"a}tze zur Objektsuche oder das Gruppieren und Sortieren der Daten entsprechend benutzerdefinierter Dimensionen; dies schlie{\ss}t {\"u}bergeordnete Kategorien wie Stil oder Genre, aber auch nuancierte Begriffe wie Alter oder Gewichtung der Bildkomposition ein. Doch das Digitale und entsprechende Verfahren k{\"o}nnen noch weitaus mehr leisten: Generative Verfahren, wie die Bildsynthese und Stilisierung eines Bildes, erm{\"o}glichen eine Blick{\"a}nderung auf das Artefakt und schlie{\ss}lich die Modifizierung des Objekts selbst. Wie h{\"a}tte ein K{\"u}nstler eine uns sichtbare Szene gemalt und dargestellt? Und wie sieht ein Mensch in der Pose eines anderen aus? Dies sind Fragen, die durch die Anwendung com- putergest{\"u}tzter Methoden beantwortet werden k{\"o}nnen. F{\"u}r das Museum haben diese Ans{\"a}tze eine besondere Relevanz, da sie neue Arten des Betrachtens und Vermittelns von Kunstwerken oder zum Beispiel die Rekonstruktion verlorener Artefakte erlauben. In Zusammenarbeit von Mensch und Maschine entstehen so neue effektive Verfahren, die Inhalte erschlie{\ss}en, Verbindungen etablieren und neues Wissen generieren.},
	isbn = {978-3-948808-00-6},
	url = {http://www.deutsches-museum.de/fileadmin/Content/010_DM/060_Verlag/studies-7.pdf},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {6319,
	title = {Deep-Learning Jets with Uncertainties and More},
	journal = {SciPost Phys},
	volume = {8},
	year = {2020},
	doi = {10.21468/SciPostPhys.8.1.006 },
	url = {https://scipost.org/10.21468/SciPostPhys.8.1.006},
	author = {Bollweg, S and Manuel Hau{\ss}mann and Kasieczka, G and Luchmann, M and Plehn, T and Thompson, J}
}
@proceedings {7064,
	title = {Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting},
	year = {2020},
	month = {08-2020},
	abstract = {The search for specific objects or motifs is essential to art history as both assist in decoding the meaning of artworks. Digitization has produced large art collections, but manual methods prove to be insufficient to analyze them. In the following, we introduce an algorithm that allows users to search for image regions containing specific motifs or objects and find similar regions in an extensive dataset, helping art historians to analyze large digitized art collections. Computer vision has presented efficient methods for visual instance retrieval across photographs. However, applied to art collections, they reveal severe deficiencies because of diverse motifs and massive domain shifts induced by differences in techniques, materials, and styles. In this paper, we present a multi-style feature fusion approach that successfully reduces the domain gap and improves retrieval results without labelled data or curated image collections. Our region-based voting with GPU-accelerated approximate nearest-neighbour search allows us to find and localize even small motifs within an extensive dataset in a few seconds. We obtain state-of-the-art results on the Brueghel dataset and demonstrate its generalization to inhomogeneous collections with a large number of distractors.},
	doi = {https://doi.org/10.1007/978-3-030-66096-3_12},
	author = {Nikolai Ufer and Sabine Lang and Bj{\"o}rn Ommer}
}
@conference {Cvpr2020,
	title = {Self-Supervised Viewpoint Learning From Image Collections},
	booktitle = {CONSAC},
	year = {2020},
	abstract = {Training deep neural networks to estimate the viewpoint of objects requires large labeled training datasets. However, manually labeling viewpoints is notoriously hard, error-prone, and time-consuming. On the other hand, it is relatively easy to mine many unlabelled images of an object category from the internet, e.g., of cars or faces. We seek to answer the research question of whether such un-labeled collections of in-the-wild images can be successfully utilized to train viewpoint estimation networks for general object categories purely via self-supervision. Self-supervision here refers to the fact that the only true supervisory signal that the network has is the input image itself. We propose a novel learning framework which incorporates an analysis-by-synthesis paradigm to reconstruct images in a viewpoint aware manner with a generative network, along with symmetry and adversarial constraints to successfully supervise our viewpoint estimation network. We show that our approach performs competitively to fully-supervised approaches for several object categories like human faces, cars, buses, and trains. Our work opens up further research in self-supervised viewpoint learning and serves as a robust baseline for it. We open-source our code at https://github.com/NVlabs/SSV .},
	url = {https://github.com/NVlabs/SSV},
	author = {S.K. Mustikovela and V. Jampani and S. De Mello and S. Liu and U. Iqbal and C. Rother and J. Kautz}
}
@proceedings {6990,
	title = {The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation},
	year = {2020},
	pages = {208-224},
	doi = {doi.org/10.1007/978-3-030-58539-6_13},
	author = {Wolf, S and Li, Y and Pape, C and Bailoni, A and Kreshuk, A and Hamprecht, F A}
}
@conference {Mackowiak2019,
	title = {CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation},
	booktitle = {British Machine Vision Conference 2018, BMVC 2018},
	year = {2019},
	abstract = {State of the art methods for semantic image segmentation are trained in a supervised fashion using a large corpus of fully labeled training images. However, gathering such a corpus is expensive, due to human annotation effort, in contrast to gathering unlabeled data. We propose an active learning-based strategy, called CEREALS, in which a human only has to hand-label a few, automatically selected, regions within an unlabeled image corpus. This minimizes human annotation effort while maximizing the performance of a semantic image segmentation method. The automatic selection procedure is achieved by: a) using a suitable information measure combined with an estimate about human annotation effort, which is inferred from a learned cost model, and b) exploiting the spatial coherency of an image. The performance of CEREALS is demonstrated on Cityscapes, where we are able to reduce the annotation effort to 17\%, while keeping 95\% of the mean Intersection over Union (mIoU) of a model that was trained with the fully annotated training set of Cityscapes.},
	author = {Mackowiak, Radek and Lenz, Philip and Ghori, Omair and Ferran Diego and Lange, Oliver and Carsten Rother}
}
@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 {lu2019,
	title = {Decomposing infrared images of wind waves for quantitative separation into characteristic flow processes},
	journal = {IEEE Transactions on Geoscience and Remote Sensing},
	volume = {57},
	year = {2019},
	pages = {8304{\textendash}8316},
	doi = {10.1109/TGRS.2019.2920280},
	author = {Guan-hung Lu and Wu-ting Tsai and Bernd J{\"a}hne}
}
@conference {Li2019,
	title = {Deep Object Co-segmentation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11363 LNCS},
	year = {2019},
	pages = {638{\textendash}653},
	abstract = {This work presents a deep object co-segmentation (DOCS) approach for segmenting common objects of the same class within a pair of images. This means that the method learns to ignore common, or uncommon, background stuff and focuses on common objects. If multiple object classes are presented in the image pair, they are jointly extracted as foreground. To address this task, we propose a CNN-based Siamese encoder-decoder architecture. The encoder extracts high-level semantic features of the foreground objects, a mutual correlation layer detects the common objects, and finally, the decoder generates the output foreground masks for each image. To train our model, we compile a large object co-segmentation dataset consisting of image pairs from the PASCAL dataset with common objects masks. We evaluate our approach on commonly used datasets for co-segmentation tasks and observe that our approach consistently outperforms competing methods, for both seen and unseen object classes.},
	isbn = {9783030208929},
	issn = {16113349},
	doi = {10.1007/978-3-030-20893-6_40},
	author = {Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@article {Ardizzone2019a,
	title = {Guided Image Generation with Conditional Invertible Neural Networks},
	year = {2019},
	abstract = {In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). The cINN combines the purely generative INN model with an unconstrained feed-forward network, which efficiently preprocesses the conditioning input into useful features. All parameters of the cINN are jointly optimized with a stable, maximum likelihood-based training procedure. By construction, the cINN does not experience mode collapse and generates diverse samples, in contrast to e.g. cGANs. At the same time our model produces sharp images since no reconstruction loss is required, in contrast to e.g. VAEs. We demonstrate these properties for the tasks of MNIST digit generation and image colorization. Furthermore, we take advantage of our bi-directional cINN architecture to explore and manipulate emergent properties of the latent space, such as changing the image style in an intuitive way.},
	url = {http://arxiv.org/abs/1907.02392},
	author = {Lynton Ardizzone and Carsten L{\"u}th and Kruse, Jakob and Carsten Rother and Ullrich K{\"o}the}
}
@article {Ardizzone2019,
	title = {Guided Image Generation with Conditional Invertible Neural Networks},
	year = {2019},
	abstract = {In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). The cINN combines the purely generative INN model with an unconstrained feed-forward network, which efficiently preprocesses the conditioning input into useful features. All parameters of the cINN are jointly optimized with a stable, maximum likelihood-based training procedure. By construction, the cINN does not experience mode collapse and generates diverse samples, in contrast to e.g. cGANs. At the same time our model produces sharp images since no reconstruction loss is required, in contrast to e.g. VAEs. We demonstrate these properties for the tasks of MNIST digit generation and image colorization. Furthermore, we take advantage of our bi-directional cINN architecture to explore and manipulate emergent properties of the latent space, such as changing the image style in an intuitive way.},
	url = {http://arxiv.org/abs/1907.02392},
	author = {Lynton Ardizzone and Carsten L{\"u}th and Kruse, Jakob and Carsten Rother and Ullrich K{\"o}the}
}
@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}
}
@techreport {Li,
	title = {Localizing Common Objects Using Common Component Activation Map},
	year = {2019},
	abstract = {In this work, we propose an approach to localize common objects from novel object categories in a set of images. We solve this problem using a new common component activation map (CCAM) in which we treat the class-specific activation maps (CAM) as components to discover the common components in the image set. We show that our approach can generalize on novel object categories in our experiments .},
	author = {Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@article {6315,
	title = {A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms},
	journal = {arXiv preprint arXiv:1901.10912},
	year = {2019},
	author = {Bengio, Y and Deleu, T and Rahaman, N and Ke, R and Lachapelle, S and Bilaniuk, O and Goyal, A and Pal, C}
}
@mastersthesis {6307,
	title = {Robust Single Object Tracking via Fully Convolutional Siamese Networks},
	year = {2019},
	school = {Heidelberg University},
	type = {Master Thesis},
	author = {Li, J}
}
@mastersthesis {6308,
	title = {Semantic Instance Segmentation with the Multiway Mutex Watershed},
	year = {2019},
	school = {Heidelberg University},
	author = {Li, Y}
}
@conference {6301,
	title = {Unsupervised Part-Based Disentangling of Object Shape and Appearance},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral + Best paper finalist: top 45 / 5160 submissions)},
	year = {2019},
	author = {Dominik Lorenz and Leonard Bereska and Timo Milbich and Bj{\"o}rn Ommer}
}
@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 {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}
}
@article {6247,
	title = {Attesting Similarity: Supporting the Organization and Study of Art Image Collections with Computer Vision},
	journal = {Digital Scholarship in the Humanities, Oxford University Press},
	volume = {33},
	year = {2018},
	pages = {845-856},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {6283,
	title = {Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods},
	journal = {Arts, Computational Aesthetics},
	volume = {7, 64},
	year = {2018},
	month = {10/2018},
	chapter = {1-21},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@proceedings {6284,
	title = {Reflecting on How Artworks Are Processed and Analyzed by Computer Vision},
	year = {2018},
	publisher = {Springer},
	author = {Sabine Lang and Bj{\"o}rn Ommer}
}
@article {6314,
	title = {On the spectral bias of deep neural networks},
	journal = {arXiv preprint arXiv:1806.08734},
	year = {2018},
	author = {Rahaman, N and Arpit, D and Baratin, A and Draxler, F and Lin, M and Fred A. Hamprecht and Bengio, Y and Courville, A}
}
@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}
}
@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}
}
@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 {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.}
}
@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}
}
@article {6213,
	title = {Solving Large Multicut Problems for Connectomics via Domain Decomposition},
	year = {2017},
	pages = {1-10},
	doi = { 10.1109/ICCVW.2017.7},
	author = {Pape, C and Thorsten Beier and Li, P and Jain, V and Brock, D. D. and Kreshuk, A.}
}
@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}
}
@conference {Honauer-etal-2017-ICCV,
	title = {A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields},
	booktitle = {Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	address = {Cham},
	abstract = {In computer vision communities such as stereo, optical flow, or visual tracking, commonly accepted and widely used benchmarks have enabled objective comparison and boosted scientific progress. In  the  emergent  light  field  community,  a  comparable  benchmark  and evaluation methodology is still missing. The performance of newly proposed methods is often demonstrated qualitatively on a handful of images, making quantitative comparison and targeted progress very difficult. To overcome these difficulties, we propose a novel light field benchmark. We provide 24 carefully designed synthetic, densely sampled 4D light fields with highly accurate disparity ground truth. We thoroughly evaluate four state-of-the-art light field algorithms and one multi-view stereo algorithm using existing and novel error measures. This consolidated state-of-the art  may serve as a baseline to stimulate and guide further scientific progress. We publish the benchmark website http://www.lightfield-analysis.net , an evaluation toolkit, and our rendering setup to encourage submissions of both algorithms and further datasets.},
	isbn = {978-3-319-54186-0},
	doi = {10.1007/978-3-319-54187-7_2},
	author = {Katrin Honauer and Ole Johannsen and Daniel Kondermann and Bastian Goldl{\"u}cke},
	editor = {Lai, Shang-Hong}
}
@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.}
}
@phdthesis {lenor2016,
	title = {Model-Based Estimation of Meteorological Visibility in the Context of Automotive Camera Systems},
	volume = {Dissertation},
	year = {2016},
	publisher = {IWR, Univ. Heidelberg},
	type = {phd},
	doi = {10.11588/heidok.00020855},
	author = {Stephan Lenor}
}
@conference {visapp16vonSchmude,
	title = {Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry},
	booktitle = {Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications},
	year = {2016},
	abstract = {This paper tackles the problem of relative pose estimation between two monocular camera images in textureless scenes. Due to a lack of point matches, point-based approaches such as the 5-point algorithm often fail when used in these scenarios. Therefore we investigate relative pose estimation from line observations. We propose a new approach in which the relative pose estimation from lines is extended by a 3D line direction estimation step. The estimated line directions serve to improve the robustness and the efficiency of all processing phases: they enable us to guide the matching of line features and allow an efficient calculation of the relative pose. First, we describe in detail the novel 3D line direction estimation from a single image by clustering of parallel lines in the world. Secondly, we propose an innovative guided matching in which only clusters of lines with corresponding 3D line directions are considered. Thirdly, we introduce the new relative pose estimation based on 3 D line directions. Finally, we combine all steps to a visual odometry system. We evaluate the different steps on synthetic and real sequences and demonstrate that in the targeted scenarios we outperform the state-of-the-art in both accuracy and computation time.},
	isbn = {978-989-758-175-5},
	doi = {10.5220/0005661404210431},
	author = {Naja von Schmude and Pierre Lothe and Bernd J{\"a}hne}
}
@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}
}
@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}
}
@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 {LenzenBerger2015,
	title = {Solution-Driven Adaptive Total Variation Regularization},
	booktitle = {LNCS},
	year = {2015},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {We consider solution-driven adaptive variants of Total Variation, in which the adaptivity is introduced as a fixed point problem. We provide existence theory for such fixed points in the continuous domain. For the applications of image denoising, deblurring and inpainting, we provide experiments which demonstrate that our approach in most cases outperforms state-of-the-art regularization approaches.},
	doi = {10.1007/978-3-319-18461-6_17},
	url = {http://dx.doi.org/10.1007/978-3-319-18461-6_17},
	author = {Frank Lenzen and Johannes Berger}
}
@conference {LenzenBerger2015,
	title = {Solution-Driven Adaptive Total Variation Regularization},
	booktitle = {LNCS},
	year = {2015},
	note = {in press},
	author = {Lenzen, Frank and Johannes Berger}
}
@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.}
}
@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}
}
@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}
}
@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.}
}
@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.}
}
@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}
}
@incollection {lou_14_structured,
	title = {Structured Learning from Cheap Data},
	year = {2014},
	note = {1},
	publisher = {The MIT Press},
	author = {Lou, X. and Kloft, M. and R{\"a}tsch, G. and Fred A. Hamprecht},
	editor = {Nowozin, S. et al}
}
@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 {lenzen_13_adaptive,
	title = {Adaptive Second-Order Total Variation: An Approach Aware of Slope
Discontinuities},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM},
	volume = {7893},
	year = {2013},
	note = {1},
	pages = {61-73},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-38267-3_6},
	author = {Frank Lenzen and Florian Becker and Lellmann, J.}
}
@conference {Lenzen-2013-ssvm,
	title = {Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013},
	volume = {54},
	year = {2013},
	pages = {371--398},
	publisher = {Springer},
	organization = {Springer},
	author = {Frank Lenzen and Florian Becker and Lellmann, Jan}
}
@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 {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 {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}
}
@conference {jaehne2013a,
	title = {Der Standard EMVA 1288 zur Charakterisierung von Kameras und Bildsensoren: von 2D- zu 3D-Kameras},
	booktitle = {Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beitr{\"a}ge der Oldenburger 3D-Tage 2013},
	year = {2013},
	pages = {388--399},
	publisher = {Wichmann},
	organization = {Wichmann},
	url = {http://www.ub.uni-heidelberg.de/archiv/17699},
	author = {Bernd J{\"a}hne},
	editor = {Thomas Luhmann and M{\"u}ller, Christina}
}
@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}
}
@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 {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 {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 {jaehne2013,
	title = {Von optischer 3D-Messtechnik zu lichtfeldbasierter Bildakquisition und -verarbeitung},
	booktitle = {Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beitr{\"a}ge der Oldenburger 3D-Tage 2013},
	year = {2013},
	note = {eingeladener Er{\"o}ffnungsvortrag},
	pages = {1--8},
	publisher = {Wichmann},
	organization = {Wichmann},
	url = {http://www.ub.uni-heidelberg.de/archiv/17698},
	author = {Bernd J{\"a}hne},
	editor = {Thomas Luhmann and M{\"u}ller, Christina}
}
@article {Lempitsky2012,
	title = {Branch-and-mincut: Global optimization for image segmentation with high-level priors},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {44},
	number = {3},
	year = {2012},
	pages = {315{\textendash}329},
	abstract = {Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from low-level cues. However, introducing a high-level prior such as a shape prior or a color-distribution prior into the segmentation process typically results in an energy that is much harder to optimize. The main contribution of the paper is a new global optimization framework for a wide class of such energies. The framework is built upon two powerful techniques: graph cut and branch-and-bound. These techniques are unified through the derivation of lower bounds on the energies. Being computable via graph cut, these bounds are used to prune branches within a branchand-bound search. We demonstrate that the new framework can compute globally optimal segmentations for a variety of segmentation scenarios in a reasonable time on a modern CPU. These scenarios include unsupervised segmentation of an object undergoing 3D pose change, category-specific shape segmentation, and the segmentation under intensity/color priors defined by Chan-Vese and GrabCut functionals. {\textcopyright} Springer Science+Business Media, LLC 2011.},
	keywords = {Branch-and-bound, Global optimization, Graph Cuts, Image segmentation, Shape priors},
	issn = {09249907},
	doi = {10.1007/s10851-012-0328-0},
	author = {Lempitsky, Victor and Blake, Andrew 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}
}
@conference {erz2012a,
	title = {Erweiterte Sch{\"a}rfentiefe mittels Scheimpflug-Bildaufnahme und Bildfusion},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {1--12},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Michael Erz and Wolfgang Mischler and Trein, Johannes and Zhuang Lin and Lay, Ralf and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@phdthesis {lin2012,
	title = {Fluorescence Lifetime Imaging Camera: Image Analysis, Optimization and Enhancement},
	volume = {Dissertation},
	year = {2012},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/13546},
	author = {Zhuang Lin}
}
@incollection {nair2012,
	title = {Ground truth for evaluating time of flight imaging},
	volume = {8200},
	year = {2012},
	pages = {52--74},
	publisher = {Springer},
	doi = {10.1007/978-3-642-44964-2_4},
	author = {Nair, Rahul and Stephan Meister and Lambers, Martin and Balda, Michael and Hofmann, Hannes and Andreas Kolb and Daniel Kondermann and Bernd J{\"a}hne}
}
@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 {lou_12_learning,
	title = {Learning to Segment Dense Cell Nuclei with Shape Prior},
	journal = {CVPR 2012. Proceedings},
	number = {0213},
	year = {2012},
	note = {1},
	pages = {1012-1018},
	doi = {10.1109/CVPR.2012.6247778},
	author = {Lou, X. and Fred A. Hamprecht}
}
@conference {atif2012,
	title = {Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {23--34},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Atif, Muhammad and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {erz2012,
	title = {Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {35--46},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@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 {lou_12_quality,
	title = {Quality Classification of Microscopic Imagery with Weakly Supervised Learning},
	journal = {MICCAI-MLMI. Proceedings},
	year = {2012},
	note = {1},
	pages = {176-183},
	doi = {10.1007/978-3-642-35428-1_22},
	author = {Lou, X. and Fiaschi, L. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {alvarez_12_road,
	title = {Road Geometry Classification by Adaptive Shape Models},
	journal = {IEEE Transactions on Intelligent Transportation Systems (ITS)},
	volume = {99},
	year = {2012},
	pages = {1-10},
	doi = {10.1109/TITS.2012.2221088},
	author = {Álvarez, J. M. and Gevers, T. and Ferran Diego and López, A. M.}
}
@conference {geese2012a,
	title = {Scene based maximum likelihood PRNU and DSNU non uniformity correction},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {71--82},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Geese, Marc and Paul Ruhnau and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@techreport {lin2012a,
	title = {Structure Tensor Calculation Using FPGA},
	year = {2012},
	institution = {HCI Heidelberg},
	author = {Zhuang Lin}
}
@article {lou_12_structured,
	title = {Structured Learning from Partial Annotations},
	journal = {ICML 2012. Proceedings},
	year = {2012},
	note = {1},
	url = {http://icml.cc/discuss/2012/753.html},
	author = {Lou, X. and Fred A. Hamprecht}
}
@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}
}
@phdthesis {lou_11_biomedical,
	title = {Biomedical Data Analysis with Prior Knowledge: Modeling and Learning},
	year = {2011},
	publisher = {University of Heidelberg},
	author = {Lou, X.}
}
@conference {kaster_11_comparative,
	title = {Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations},
	booktitle = {LNCS},
	volume = {LNCS 6533},
	year = {2011},
	note = {1},
	pages = {74-85},
	publisher = {Springer, Heidelberg},
	organization = {Springer, Heidelberg},
	doi = {10.1007/978-3-642-18421-5_8},
	author = {F. O. Kaster and M.-A. Weber and Fred A. Hamprecht},
	editor = {Bjoern H. Menze and Bjoern H. Menze and Langs, G. and Criminisi, A. and Tu, Z.}
}
@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 {lou_11_deltr,
	title = {DELTR: Digital Embryo Lineage Tree Reconstructor},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings},
	year = {2011},
	note = {1},
	pages = {1557-1560},
	doi = {10.1109/ISBI.2011.5872698},
	author = {Lou, X. and F. O. Kaster and Lindner, M. and Bernhard X. Kausler and Ullrich K{\"o}the and H{\"o}ckendorf, B. and Wittbrodt, J. and J{\"a}nicke, H. and Fred A. Hamprecht}
}
@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}
}
@mastersthesis {lindner_11_machine,
	title = {A Machine Learning Approach to Improve Digital Embryo Analysis},
	year = {2011},
	note = {1},
	school = {University of Heidelberg},
	author = {Lindner, M.}
}
@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}
}
@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 {hanselmann_11_sima,
	title = {SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists},
	journal = {Bioinformatics},
	volume = {27 (7)},
	year = {2011},
	note = {1},
	pages = {987-993},
	doi = {10.1093/bioinformatics/btr051},
	author = {Hanselmann, M. and Bj{\"o}rn Voss and B. Y. Renard and Lindner, M. and Ullrich K{\"o}the and Kirchner, M. and Fred A. Hamprecht}
}
@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.}
}
@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}
}
@conference {haug2010a,
	title = {6 DoF appearance-based object localization with local covariant features},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {13--24},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Florian Haug and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@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.}
}
@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 {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.}
}
@article {Lempitsky2010,
	title = {Fusion moves for markov random field optimization},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {32},
	number = {8},
	year = {2010},
	pages = {1392{\textendash}1405},
	abstract = {The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one possible way of achieving this by using graph cuts to combine pairs of suboptimal labelings or solutions. We call this combination process the fusion move. By employing recently developed graph-cut-based algorithms (so-called QPBO-graph cut), the fusion move can efficiently combine two proposal labelings in a theoretically sound way, which is in practice often globally optimal. We demonstrate that fusion moves generalize many previous graph-cut approaches, which allows them to be used as building blocks within a broader variety of optimization schemes than were considered before. In particular, we propose new optimization schemes for computer vision MRFs with applications to image restoration, stereo, and optical flow, among others. Within these schemes the fusion moves are used 1) for the parallelization of MRF optimization into several threads, 2) for fast MRF optimization by combining cheap-to-compute solutions, and 3) for the optimization of highly nonconvex continuous-labeled MRFs with 2D labels. Our final example is a nonvision MRF concerned with cartographic label placement, where fusion moves can be used to improve the performance of a standard inference method (loopy belief propagation). {\textcopyright} 2006 IEEE.},
	keywords = {Combinatorial algorithms, Computer vision, Graph algorithms, Image restoration., Markov random fields, Motion, Stereo},
	issn = {01628828},
	doi = {10.1109/TPAMI.2009.143},
	author = {Lempitsky, Victor and Carsten Rother and Roth, Stefan and Blake, Andrew}
}
@article {Lempitsky2010a,
	title = {Fusion moves for markov random field optimization},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {32},
	number = {8},
	year = {2010},
	pages = {1392{\textendash}1405},
	abstract = {The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one possible way of achieving this by using graph cuts to combine pairs of suboptimal labelings or solutions. We call this combination process the fusion move. By employing recently developed graph-cut-based algorithms (so-called QPBO-graph cut), the fusion move can efficiently combine two proposal labelings in a theoretically sound way, which is in practice often globally optimal. We demonstrate that fusion moves generalize many previous graph-cut approaches, which allows them to be used as building blocks within a broader variety of optimization schemes than were considered before. In particular, we propose new optimization schemes for computer vision MRFs with applications to image restoration, stereo, and optical flow, among others. Within these schemes the fusion moves are used 1) for the parallelization of MRF optimization into several threads, 2) for fast MRF optimization by combining cheap-to-compute solutions, and 3) for the optimization of highly nonconvex continuous-labeled MRFs with 2D labels. Our final example is a nonvision MRF concerned with cartographic label placement, where fusion moves can be used to improve the performance of a standard inference method (loopy belief propagation). {\textcopyright} 2006 IEEE.},
	keywords = {Combinatorial algorithms, Computer vision, Graph algorithms, Image restoration., Markov random fields, Motion, Stereo},
	issn = {01628828},
	doi = {10.1109/TPAMI.2009.143},
	author = {Lempitsky, Victor and Carsten Rother and Roth, Stefan and Blake, Andrew}
}
@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 {jehle_10_optimal,
	title = {Optimal Lighting for Defect Detection: Illumination Systems, Machine
Learning, and Practical Verification},
	booktitle = {Forum Bildverarbeitung, Regensburg, 02.-03.12.2010},
	year = {2010},
	note = {1},
	pages = {301-312},
	publisher = {KIT SCientific Publishing},
	organization = {KIT SCientific Publishing},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and Heinzmann, M.}
}
@conference {jehle2010a,
	title = {Optimal lighting for defect detection: illumination systems, machine learning, and practical verification},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {241--252},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@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}
}
@conference {erz2010,
	title = {Optimierte Kameraauswahl f{\"u}r maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {155--166},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {lauer_09_continuous,
	title = {A Continuous Optimization Framework for Hybrid System Identification},
	booktitle = {submitted to Automatica},
	year = {2009},
	author = {Lauer, F. and Bloch, G. and Vidal, R.}
}
@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}
}
@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}
}
@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 {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.}
}
@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.}
}
@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 {Lempitsky2008,
	title = {FusionFlow: Discrete-continuous optimization for optical flow estimation},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely on continuous optimization algorithms. The modeling accuracy of the energy in this case is often traded for its tractability. This is in contrast to the related problem of narrow-baseline stereo matching, where the top-performing methods employ powerful discrete optimization algorithms such as graph cuts and message-passing to optimize highly non-convex energies. In this paper, we demonstrate how similar non-convex energies can be formulated and optimized discretely in the context of optical flow estimation. Starting with a set of candidate solutions that are produced by fast continuous flow estimation algorithms, the proposed method iteratively fuses these candidate solutions by the computation of minimum cuts on graphs. The obtained continuous-valued fusion result is then further improved using local gradient descent. Experimentally, we demonstrate that the proposed energy is an accurate model and that the proposed discrete-continuous optimization scheme not only finds lower energy solutions than traditional discrete or continuous optimization techniques, but also leads to flow estimates that outperform the current state-of-the-art. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587751},
	author = {Lempitsky, Victor and Roth, Stefan and Carsten Rother}
}
@conference {Lempitsky2008a,
	title = {Image segmentation by branch-and-mincut},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5305 LNCS},
	number = {PART 4},
	year = {2008},
	pages = {15{\textendash}29},
	abstract = {Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from low-level cues. However, introducing a high-level prior such as a shape prior or a color-distribution prior into the segmentation process typically results in an energy that is much harder to optimize. The main contribution of the paper is a new global optimization framework for a wide class of such energies. The framework is built upon two powerful techniques: graph cut and branch-and-bound. These techniques are unified through the derivation of lower bounds on the energies. Being computable via graph cut, these bounds are used to prune branches within a branch-and-bound search. We demonstrate that the new framework can compute globally optimal segmentations for a variety of segmentation scenarios in a reasonable time on a modern CPU. These scenarios include unsupervised segmentation of an object undergoing 3D pose change, category-specific shape segmentation, and the segmentation under intensity/color priors defined by Chan-Vese and GrabCut functionals. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886923},
	issn = {03029743},
	doi = {10.1007/978-3-540-88693-8-2},
	author = {Lempitsky, Victor and Blake, Andrew and Carsten Rother}
}
@conference {Lempitsky2008b,
	title = {Image segmentation by branch-and-mincut},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5305 LNCS},
	number = {PART 4},
	year = {2008},
	pages = {15{\textendash}29},
	abstract = {Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from low-level cues. However, introducing a high-level prior such as a shape prior or a color-distribution prior into the segmentation process typically results in an energy that is much harder to optimize. The main contribution of the paper is a new global optimization framework for a wide class of such energies. The framework is built upon two powerful techniques: graph cut and branch-and-bound. These techniques are unified through the derivation of lower bounds on the energies. Being computable via graph cut, these bounds are used to prune branches within a branch-and-bound search. We demonstrate that the new framework can compute globally optimal segmentations for a variety of segmentation scenarios in a reasonable time on a modern CPU. These scenarios include unsupervised segmentation of an object undergoing 3D pose change, category-specific shape segmentation, and the segmentation under intensity/color priors defined by Chan-Vese and GrabCut functionals. {\textcopyright} 2008 Springer Berlin Heidelberg.},
	isbn = {3540886923},
	issn = {03029743},
	doi = {10.1007/978-3-540-88693-8-2},
	author = {Lempitsky, Victor and Blake, Andrew and Carsten Rother}
}
@conference {menze_07_from,
	title = {From eigenspots to fisherspots -- latent spaces in the nonlinear detection of spot patterns in a highly variable background},
	booktitle = {Advances in data analysis},
	volume = {33},
	year = {2007},
	note = {1},
	pages = {255-262},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-70981-7_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht},
	editor = {Lenz, H.-J. and Decker, R.}
}
@conference {Lempitsky2007,
	title = {LogCut - Efficient graph cut optimization for markov random fields},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	year = {2007},
	abstract = {Markov Random Fields (MRFs) are ubiquitous in low-level computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to α-expansion it is based on iterative application of binary graph cut. However, the number of binary graph cuts required to compute a labelling grows only logarithmically with the size of label space, instead of linearly. We demonstrate that for applications such as optical flow, image restoration, and high resolution stereo, this gives an order of magnitude speed-up, for comparable energies. Iterations are performed by "fusion" of solutions, done with QPBO which is related to graph cut but can deal with non-submodularity. At convergence, the method achieves optima on a par with the best competitors, and sometimes even exceeds them. {\textcopyright}2007 IEEE.},
	doi = {10.1109/ICCV.2007.4408907},
	author = {Lempitsky, Victor and Carsten Rother and Blake, Andrew}
}
@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}
}
@conference {Lalonde2007,
	title = {Photo clip art},
	booktitle = {Proceedings of the ACM SIGGRAPH Conference on Computer Graphics},
	year = {2007},
	abstract = {We present a system for inserting new objects into existing photographs by querying a vast image-based object library, pre-computed using a publicly available Internet object database. The central goal is to shield the user from all of the arduous tasks typically involved in image compositing. The user is only asked to do two simple things: 1) pick a 3D location in the scene to place a new object; 2) select an object to insert using a hierarchical menu. We pose the problem of object insertion as a data-driven, 3D-based, context-sensitive object retrieval task. Instead of trying to manipulate the object to change its orientation, color distribution, etc. to fit the new image, we simply retrieve an object of a specified class that has all the required properties (camera pose, lighting, resolution, etc) from our large object library. We present new automatic algorithms for improving object segmentation and blending, estimating true 3D object size and orientation, and estimating scene lighting conditions. We also present an intuitive user interface that makes object insertion fast and simple even for the artistically challenged. {\textcopyright} 2007 ACM.},
	keywords = {3D scene reasoning, Blending and compositing, Computational photography, Image databases, Object insertion},
	doi = {10.1145/1275808.1276381},
	url = {http://graphics.cs.cmu.edu/projects/photoclipart/},
	author = {Lalonde, Jean Fran{\c c}ois and Hoiem, Derek and Efros, Alexei A and Carsten Rother and Winn, John and Criminisi, Antonio}
}
@inbook {carlsohn_06_spectral,
	title = {Color image processing},
	volume = {7(17)},
	year = {2006},
	pages = {393-419},
	publisher = {CRC Press},
	organization = {CRC Press},
	chapter = {Spectral Imaging and Applications},
	author = {Carlsohn, M. F. and Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht and Kercek, A. and Leitner, R. and Polder, G.},
	editor = {Lukac, R. and Plataniotis, K.N.}
}
@mastersthesis {lerch_06_discontinuity,
	title = {Discontinuity Preserving Filtering of Spectral Images},
	year = {2006},
	school = {University of Heidelberg},
	author = {Lerch, K.}
}
@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.}
}
@conference {menze_06_machine-based,
	title = {Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin},
	year = {2006},
	note = {1},
	pages = {31-36},
	doi = {10.1007/3-540-32137-3_7},
	author = {Bjoern H. Menze and B. Michael Kelm and Heck, D. and M. P. Lichy and Fred A. Hamprecht},
	editor = {H. Handels and G. Bebis and et al.}
}
@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}
}
@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}
}
@article {zappa2004,
	title = {Microbreaking and the enhancement of air-water transfer velocity},
	journal = {J. Geophys. Res.},
	volume = {109},
	year = {2004},
	pages = {C08S16},
	abstract = {The role of microscale wave breaking in controlling the air-water transfer of heat and gas is investigated in a laboratory wind-wave tank. The local heat transfer velocity, k_H , is measured using an active infrared technique and the tank-averaged gas transfer velocity, k_G , is measured using conservative mass balances. Simultaneous, colocated infrared and wave slope imagery show that wave-related areas of thermal boundary layer disruption and renewal are the turbulent wakes of microscale breaking waves, or microbreakers. The fractional area coverage of microbreakers, A _B , is found to be 0.1-0.4 in the wind speed range 4.2-9.3 m s-1 for cleaned and surfactant-influenced surfaces, and k_H and k_G are correlated with A _B . The correlation of k_H with A_B is independent of fetch and the presence of surfactants, while that for k_G with A_B depends on surfactants. Additionally, A_B is correlated with the mean square wave slope, <S 2>, which has shown promise as a correlate for k_G in previous studies. The ratio of k_H measured inside and outside the microbreaker wakes is 3.4, demonstrating that at these wind speeds, up to 75\% of the transfer is the direct result of microbreaking. These results provide quantitative evidence that microbreaking is the dominant mechanism contributing to air-water heat and gas transfer at low to moderate wind speeds.},
	doi = {10.1029/2003JC001897},
	author = {Christopher J. Zappa and William E. Asher and Jessup, A. T. and J. Klinke and S. R. Long}
}
@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}
}
@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.}
}
@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}
}
@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 {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 {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.}
}
@incollection {jaehne2002f,
	title = {Wellenbewegte Wasseroberfl{\"a}che},
	year = {2002},
	pages = {259--262},
	publisher = {Wichmann},
	url = {http://d-nb.info/96618503X},
	author = {Bernd J{\"a}hne and G{\"u}nther Balschbach and D. Fu{\ss}},
	editor = {Thomas Luhmann}
}
@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.}
}
@conference {wenig2001a,
	title = {Image sequence analysis of satellite NO$_2$ concnetration maps},
	booktitle = {Pattern Recognition, 23rd DAGM Symposium Munich},
	volume = {2191},
	year = {2001},
	pages = {223--230},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Here we describe a new method for the quantification of a global NOx budget from image sequences of the GOME instrument on the ERS-2. The focus of this paper is on image processing techniques to separate tropospheric and stratospheric NO2-colums using normalized convolution with infinite impulse response filters (IIR) to interpolate gaps in the data and average the cloud coverage of the earth, the estimation the NO2 life time and the determination of regional NOx source strengths.},
	doi = {10.1007/3-540-45404-7_30},
	author = {Mark Wenig and Carsten Leue and S. Kraus and T. Wagner and Ulrich Platt and Bernd J{\"a}hne},
	editor = {B. Radig and S. Florczyk}
}
@article {wagner2001a,
	title = {Monitoring of the stratospheric chlorine activation by Global Ozone Monitoring Experiment (GOME) OClO measurements in the austral and boreal winters 1995 through 1999},
	journal = {J. Geophys. Res.},
	volume = {106},
	number = {D6},
	year = {2001},
	pages = {4971-4986},
	abstract = {Measurements of OClO total column amounts by means of the Global Ozone Monitoring Experiment (GOME) instrument conducted in the austral and boreal winter stratospheres from 1995 through 1999 are presented, GOME is a four-channel UV/visible spectrometer (240-790 nm) deployed on the polar orbiting European ERS-2 satellite since April 1995. Previous studies have shown that the observations of OClO, the symmetric chlorine dioxide formed in a side channel of the reaction of BrO + ClO, can serve as an indicator for a stratospheric chlorine activation. GOME{\textquoteright}s 3-day coverage of the global atmosphere allows us to infer the first global data set of OClO, and to study continuous time series of its occurrence in both winter stratospheres. It is found that, while OClO regularly occurs over Antarctica in similar amounts and seasonal timing during the different winters, its occurrence is much more variable in the Arctic winter stratosphere, primarily because of the larger dynamic activity that result in warmer temperatures there. About 40\% higher OClO column amounts are found in the Antarctic polar stratosphere than in its northern counterpart, a further indication for a significantly more efficient chlorine activation in the Antarctic than the Arctic late winter and spring stratosphere.},
	doi = {10.1029/2000JD900458},
	author = {T. Wagner and Carsten Leue and Klaus Pfeilsticker and Ulrich Platt}
}
@article {leue2001,
	title = {Quantitative analysis of NO$_x$ emissions from Global Ozone Monitoring Experiment satellite image sequences},
	journal = {J. Geophys. Res.},
	volume = {106},
	number = {D6},
	year = {2001},
	pages = {5493--5505},
	abstract = {Nitric oxides (NOx) play a very important role among the anthropogenic trace gases. They affect human health and have an impact on ozone chemistry and climatic change. Here we describe a new method for the quantification of the global NOx budget from image sequences of the Global Ozone Monitoring Experiment (GOME) spectrometer on board the ERS 2 satellite. In contrast to measurements using ground-based or balloon- or aircraft-borne sensors, this instrument provides, for the first time, the possibility of observing global maps of NO2 column densities. As part of this work, algorithms were developed to analyze GOME spectra numerically and to extract physically relevant parameters from the resulting maps using image-processing techniques. Column densities of NO x were determined using differential optical absorption spectroscopy (DOAS) [Platt, 1994]. By the combined use of an efficient B-spline interpolation and an inversion algorithm based on Householder transformations, the numerical algorithms accelerate the retrievals by a factor of 26 with respect to previous methods. Moreover, techniques are presented for separating tropospheric and stratospheric NO2 colums and estimating the lifetime of NO2 in the troposphere. This allows determination of regional NOx source strengths. Independent of traditional methods, a global source strength of (43 {\textpm} 20) Tg N yr-1 is estimated. The accuracy of this method is comparable to that of established statistical approaches.},
	doi = {10.1029/2000JD900572},
	author = {Carsten Leue and Mark Wenig and T. Wagner and Klimm, O. and Ulrich Platt and Bernd J{\"a}hne}
}
@article {wagner2001,
	title = {Spatial and temporal distribution of enhanced boundary layer BrO concentrations measured by the GOME instrument aboard ERS-2},
	journal = {J. Geophys. Res.},
	volume = {106},
	number = {D6},
	year = {2001},
	pages = {24225--24235},
	abstract = {The temporal and spatial distribution of enhanced boundary layer BrO concentrations in both hemispheres during 1997 is presented using observations of the Global Ozone Monitoring Experiment (GOME) on board the European research satellite ERS-2. BrO concentrations (up to 50 ppt) are the major cause for catalytic boundary layer ozone destruction typically observed during polar spring in both hemispheres. While autocatalytic mechanisms are most probably responsible for the release of the observed high concentrations of reactive bromine compounds, uncertainties still remain with respect to the primary release mechanisms and whether the autocatalytic reactions are taking place on sea-salt aerosol or the surface of sea ice. We find that enhanced boundary layer BrO concentrations correlate very well with ozone depletion events. Enhanced BrO concentrations are always found over or near to areas of frozen salt water (above sea ice or also above the frozen surface of the Caspian Sea) consistent with the assumption that such conditions are a prerequisite for the autocatalytic release of high BrO concentrations to the troposphere.},
	doi = {10.1029/2000JD000201},
	author = {T. Wagner and Carsten Leue and Mark Wenig and Klaus Pfeilsticker and Ulrich Platt}
}
@incollection {wenig2000,
	title = {Cloud classification analyzing image sequences},
	year = {2000},
	pages = {652--653},
	publisher = {Academic Press},
	chapter = {A22},
	author = {Mark Wenig and Carsten Leue and Ulrich Platt and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@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}
}
@incollection {eichkorn2000,
	title = {Fluorescence imaging of air-water gas exchange},
	year = {2000},
	pages = {644-645},
	publisher = {Academic Press},
	chapter = {A18},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@conference {klinke2000,
	title = {Generation of short waves by wave-current interaction},
	booktitle = {Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International},
	year = {2000},
	pages = {1084--1086},
	doi = {10.1109/IGARSS.2000.858029},
	author = {J. Klinke and S. R. Long}
}
@incollection {leue2000,
	title = {NOX Emissions Retrieved from Satellite Images},
	year = {2000},
	pages = {654--655},
	publisher = {Academic Press},
	chapter = {A23},
	author = {Carsten Leue and Mark Wenig and Ulrich Platt and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@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 {noffz1999,
	title = {Field Programmable Gate Array image processing},
	volume = {3: Systems and Applications},
	year = {1999},
	publisher = {Academic Press},
	chapter = {2},
	author = {Noffz, K.-H. and Lay, R. and M{\"a}nner, R. and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {eichkorn1999,
	title = {Fluorescenceimaging of air-water gas exchange},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {647-662},
	publisher = {Academic Press},
	chapter = {30},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@conference {klinke1999,
	title = {Observations of free and bound gravity-capillary Waves},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	pages = {87--88},
	doi = {10.5281/zenodo.14908},
	author = {J. Klinke and Bernd J{\"a}hne and S. R. Long}
}
@phdthesis {leue1999,
	title = {Quantitative Analyse von NOx - Emissionen aus GOME Satellitenbildfolgen},
	year = {1999},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Carsten Leue}
}
@incollection {leue1999a,
	title = {Retrieval of Atmospheric Trace Gas Concentrations},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {783-805},
	publisher = {Academic Press},
	chapter = {37},
	author = {Carsten Leue and Mark Wenig and Ulrich Platt and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@article {leue1998a,
	title = {GOME mi{\ss}t atmosph{\"a}rische Stickoxide. Globale Biomassenverbrennung und Industrieemissionen},
	journal = {Physik in unserer Zeit},
	volume = {29},
	number = {4},
	year = {1998},
	pages = {179},
	doi = {10.1002/piuz.19980290410},
	author = {Carsten Leue and Mark Wenig and Bernd J{\"a}hne and Ulrich Platt}
}
@article {hering1998,
	title = {Particle tracking velocimetry beneath water waves. part II : water waves},
	journal = {Exp. Fluids},
	volume = {24},
	number = {1},
	year = {1998},
	pages = {10-16},
	abstract = {Particle Tracking techniques described earlier in the first part of this paper (Hering et al. 1997) were used to study the flow field beneath mechanically generated and wind induced flow fields. Experiments were conducted at three different wind/wave facilities (Heidelberg, Delft and San Diego). Particle Tracking allows an extensive study of drift velocities, wave orbital motion and turbulent Reynolds Stress beneath water waves. Monte Carlo simulations show, that the effects of the moving water surface on the calculation of mean properties of a flow can easily be avoided by Lagrangian measurements. Due to micro-scale wave breaking friction velocity profiles show a significant increase of turbulence towards the interface.},
	doi = {10.1007/s003480050145},
	author = {Frank Hering and Dietmar Wierzimok and Carsten Leue and Bernd J{\"a}hne}
}
@article {leue1998,
	title = {Quantitative observation of biomass-burning plumes from GOME},
	journal = {ESA Publications EOQ},
	volume = {58},
	year = {1998},
	pages = {33--35},
	url = {http://esapub.esrin.esa.it/eoq/eoq58},
	author = {Carsten Leue and Mark Wenig and Bernd J{\"a}hne and Ulrich Platt}
}
@mastersthesis {lode1998,
	title = {Tiefenrekonstruktion vertikaler Konzentrationsprofile in der wasserseitigen Grenzschicht mittels spektroskopischer laserinduzierter Fluoreszenz (LIF)},
	year = {1998},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {A new laser-induced fluorescence (LIF) technique is presented to reconstruct depthresolved vertical two-dimensional concentration profiles of gases solved in water. It was developed to study small-scale processes in the viscous mass boundary layer. The key idea originated from differential optical absorption spectroscopy (DOAS). A fluorescence indicator with pH-dependent fluorescence intensity was used as a tracer. Gases changing the pH-value when solved in water, can be detected by a linear change in fluorescence intensity. A second absorbing dye causes a non-linear change of the measured spectra. Therefore the shape of the fluorescence spectrum depends on the pathlenght the light travels from the depth it originates from up to the water surface. A laser-lightsheet perpendicular to the water-surface is created and the fluorescence light integrated over depth is being spectrally analyzed by the designed prism-spectrometer. The spectra were measured by a CCD-camera as gray value images. A method to do a wavelength calibration is presented and used. The performed measurements combined with the modelling of the underlying processes have proven, that a depth-resolved reconstruction of concetration profiles is feasible with this technique. The reconstruction leads to problems, that are beeing solved by means of discrete inverse theory. Eventually the optimum set of parameters, that can be chosen is being calculated.},
	author = {Ulrike Lode}
}
@phdthesis {lauer1998,
	title = {Untersuchung der Neigungsstatistik von Wasseroberfl{\"a}chenwellen mittels eines schnellen, bildaufnehmenden Verfahrens},
	year = {1998},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Lauer, Hermann}
}
@conference {geissler1997,
	title = {Laboratory and inshore measurements of bubble size distributions},
	booktitle = {Proc. Natural Physical Processes associated with Sea Surface Sound, Southampton, July 21--24, 1997},
	year = {1997},
	pages = {147--154},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne},
	editor = {T. G. Leighton}
}
@conference {dieter1997,
	title = {Measurements of slope statistics on a wind driven water surface},
	booktitle = {Optical 3D Measurement Techniques 4 - Applications in architecture, quality control, robotics, navigation, medical imaging and animation},
	year = {1997},
	publisher = {Wichmann},
	organization = {Wichmann},
	author = {Jochen Dieter and Lauer, Hermann and Bernd J{\"a}hne and A. Gr{\"u}n},
	editor = {H. Kahmen}
}
@article {hering1997a,
	title = {Particle tracking velocimetry beneath water waves. Part I: visualization and tracking algorithms},
	journal = {Exp. Fluids},
	volume = {23},
	number = {6},
	year = {1997},
	pages = {472--482},
	abstract = {A novel particle tracking system working with a high particle concentration for the measurement of flow fields beneath water waves is described. It features a 1-4 cm thick light sheet parallel to the main wave propagation direction so that the seeding particles stay long enough in the illuminated area to enable tracking over several wave periods. An area of up to 14.0x10.0 cm2 is observed by a CCD camera with up to 200 fields/s. The polychromatic scattering theory of small particles in a light sheet illumination is investigated, enabling the segmentation of individual particles at high particle concentration.},
	doi = {10.1007/s003480050137},
	author = {Frank Hering and Dietmar Wierzimok and Carsten Leue and Bernd J{\"a}hne}
}
@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 {koehler1996,
	title = {Detection of particle movements at soil interfaces due to changing hydraulic load conditions, localised by a digital image processing technique},
	booktitle = {Proc. Geofilters 1996, Montreal},
	year = {1996},
	publisher = {Ecole Polytechnique Montreal},
	organization = {Ecole Polytechnique Montreal},
	author = {H.-J. K{\"o}hler and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Lafleur, J. and Rollin, A. L.}
}
@mastersthesis {leue1996,
	title = {Ein Verfahren zur Segmentierung von Partikelbildern in der Str{\"o}mungsvisualisierung},
	year = {1996},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Carsten Leue}
}
@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 {lell1996,
	title = {Ortsaufgel{\"o}ste Bestimmung von Blattwachstum durch Strukturanalyse von Bildsequenzen aus dem nahen Infrarot},
	year = {1996},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Martin Lell}
}
@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}
}
@conference {leue1996a,
	title = {Segmentierung von Partikelbildern in der Str{\"o}mungsvisualisierung},
	booktitle = {Proceedings of 18th DAGM-Symposium Mustererkennung},
	year = {1996},
	pages = {118--129},
	doi = {10.1007/978-3-642-80294-2_13},
	author = {Carsten Leue and Peter Gei{\ss}ler and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker},
	editor = {Frank Hering and Frank Hering}
}
@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}
}
@mastersthesis {lauer1994,
	title = {Messung der Neigungsverteilung von Wasseroberfl{\"a}chenwellen mittels digitaler Bilverarbeitung},
	year = {1994},
	note = {IUP D-382},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Lauer, H.}
}
@mastersthesis {lietmeyer1991,
	title = {Entwicklung eines videometrischen Verfahrens zur Messung der Wellenh{\"o}he von Wasseroberfl{\"a}chenwellen},
	year = {1991},
	note = {IUP D-369},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Lietmeyer, H. R.}
}
@article {jaehne1989a,
	title = {Investigating the transfer process across the free aqueous boundary layer by the controlled flux method},
	journal = {Tellus},
	volume = {41B},
	number = {2},
	year = {1989},
	pages = {177--195},
	abstract = {Theory and experimental results of a new method are described directly investigating the transfer processes across the aqueous viscous boundary layer. The method is based on a known and controllable flux density being applied at the interface. Then the local transfer velocity can be determined by monitoring the tracer concentration at the water surface within minutes. Moreover, the time constant for the transport across the boundary layer ("surface renewal time") can be measured directly. Comparison of the theoretical and measured frequency response of the boundary layer yields significant deviations. The technique is put into operation for heat transfer measurements. Direct comparisons with gas exchange measurements in several wind/wave facilities verify that the gas transfer velocity can be accurately extrapolated from the heat transfer measurements. A new way is opened both for detailed studies of the transfer processes in wind/wave facilities and the urgently needed direct parameterization of the transfer velocity as a function of windshear, wave parameters, and water turbulence in natural systems as rivers, lakes and the ocean. This paper includes (as a first example) measurements on the fetch dependency of the transfer process.},
	doi = {10.1111/j.1600-0889.1989.tb00135.x},
	author = {Bernd J{\"a}hne and P. Libner and Fischer, R. and Thomas Billen and Erich J. Plate}
}
@phdthesis {libner1987,
	title = {Die Konstantflu{\ss}methode: Ein neuartiges, schnelles und lokales Me{\ss}verfahren zur Untersuchung von Austauschvorg{\"a}ngen an der Luft-Wasser Phasengrenze},
	year = {1987},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/881465941},
	author = {P. Libner}
}
@article {libner1987a,
	title = {Ein neue Methode zur lokalen und momentanen Bestimmung der Wiederbel{\"u}ftungsraten von Gew{\"a}ssern},
	journal = {Wasserwirtschaft},
	volume = {77},
	number = {5},
	year = {1987},
	pages = {230--235},
	doi = {10.5281/zenodo.13129},
	author = {P. Libner and Bernd J{\"a}hne and Erich J. Plate}
}
@article {jaehne1987b,
	title = {On the parameters influencing air-water gas exchange},
	journal = {J. Geophys. Res.},
	volume = {92},
	year = {1987},
	pages = {1937--1950},
	abstract = {Detailed gas exchange measurements from two circular and one linear wind/wave tunnels are presented. Heat, He, CH4, CO2, Kr, and Xe have been used as tracers. The experiments show the central importance of waves for the water-side transfer process. With the onset of waves the Schmidt number dependence of the transfer velocity k changes from k proportional to Sc^-2/3 to k proportional to Sc^-1/2 indicating a change in the boundary conditions at the surface. Moreover, energy put into the wave field by wind is transferred to near-surface turbulence enhancing gas transfer. The data show that the mean square slope of the waves is the best parameter to characterize the free wavy surface with respect to water-side transfer processes.},
	doi = {10.1029/JC092iC02p01937},
	author = {Bernd J{\"a}hne and K. O. M{\"u}nnich and R. B{\"o}singer and A. Dutzi and Werner A. Huber and P. Libner}
}
@article {lifermann1987,
	title = {Une {\`e}tude en soufflerie de la r{\`e}flexion des hyperfr{\`e}quences par des champs de houles et de vagues},
	journal = {Oceanologia Acta},
	volume = {SP},
	year = {1987},
	pages = {15--22},
	doi = {10.5281/zenodo.13128},
	author = {A. Lifermann and Bernd J{\"a}hne and A. Ramamonjiarisoa}
}
@article {broecker1986,
	title = {Isotopic versus micrometeorologic ocean CO$_2$ fluxes: A serious conflict},
	journal = {J. Geophys. Res.},
	volume = {91},
	number = {C9},
	year = {1986},
	pages = {10517--10528},
	abstract = {Eddy correlation measurements over the ocean give CO2 fluxes an order of magnitude or more larger than expected from mass balance measurements using radiocarbon and radon 222. In particular, Smith and Jones (1985) reported large upward and downward fluxes in a surf zone at supersaturations of 15\% and attributed them to the equilibration of bubbles at elevated pressures. They argue that even on the open ocean such bubble injection may create steady state CO2 supersaturations and that inferences of fluxes based on air-sea pCO2 differences and radon exchange velocities must be made with caution. We defend the global average CO2 exchange rate determined by three independent radioisotopic means: prebomb radiocarbon inventories; global surveys of mixed layer radon deficits; and oceanic uptake of bomb-produced radiocarbon. We argue that laboratory and lake data do not lead one to expect fluxes as large as reported from the eddy correlation technique; that the radon method of determining exchange velocities is indeed useful for estimating CO2 fluxes; that supersaturations of CO2 due to bubble injection on the open ocean are negligible; that the hypothesis that Smith and Jones advance cannot account for the fluxes that they report; and that the pC02 values reported by Smith and Jones are likely to be systematically much too high. The CO2 fluxes for the ocean measured to date by the micrometeorological method can be reconciled with neither the observed concentrations of radioisotopes of radon and carbon in the oceans nor the tracer experiments carried out in lakes and in wind/wave tunnels.},
	doi = {10.1029/JC091iC09p10517},
	author = {Broecker, W. S. and Ledwell, J. R. and Takahashi, T. and R. Weiss and L. Merlivat and L. Memery and Bernd J{\"a}hne and K. O. M{\"u}nnich}
}
@conference {liefermann1985,
	title = {Wind tunnel investigation of the characterization of radar backscattering by different wave fields},
	booktitle = {Third International Colloquium Spectral Signatures of Objects in Remote Sensing},
	volume = {1},
	year = {1985},
	pages = {137--140},
	abstract = {The motion phases of waves and sea swell that contribute to C and K-band reflection of radar waves were investigated in a wind tunnel designed to simulate air-sea interactions. Results at vertical incidence for various swells, water waves, winds, and combinations of wind and swell are presented. A very important contribution of wave breaking to radar backscattering strength is noted.},
	url = {http://adsabs.harvard.edu/abs/1985ssor.proc..137L},
	author = {A. Liefermann and A. Ramamonjiarisoa and Bernd J{\"a}hne}
}
@mastersthesis {libner1984,
	title = {Entwicklung eines optische Systems zur Erfassung von Wellenparametern bei Feldmessungen im Hinblick auf den Gasaustausch},
	year = {1984},
	note = {IUP D-189},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {P. Libner}
}
@conference {jaehne1984a,
	title = {Parameterization of air/lake gas exchange},
	booktitle = {Gas transfer at water surfaces},
	year = {1984},
	pages = {469--476},
	publisher = {Reidel},
	organization = {Reidel},
	doi = {10.1007/978-94-017-1660-4_42},
	author = {Bernd J{\"a}hne and K. H. Fischer and Johann Ilmberger and P. Libner and W. Weiss and D. Imboden and U. Lemnin and J. M. Jaquet},
	editor = {W. Brutsaert and G. H. Jirka}
}
@article {lange1982,
	title = {Comparison between an amplitude-measuring wire and a slope-measuring laser water wave gauge},
	journal = {Rev. Sci. Instrum.},
	volume = {53},
	number = {5},
	year = {1982},
	pages = {651--655},
	abstract = {Capillary waves produced in a laboratory wind wave tunnel have been measured using a wire resistance-type gauge (measuring wave amplitude) and a laser gauge (measuring wave slope). Comparison of power spectra of the gauges shows good agreement to 80 Hz, which is the upper frequency limit of the wire gauge. The upper frequency limit of the laser gauge depends upon laser beam diameter and is about 300 Hz.},
	doi = {10.1063/1.1137036},
	author = {Lange, P. A. and Bernd J{\"a}hne and Tschiersch, J. and Johann Ilmberger}
}
