D.  Sitenko, Boll, B., and Schnörr, C., ?Assignment Flow For Order-Constrained OCT Segmentation?, Int J Computer Vision, vol. 129, 2021.

D.  Sitenko, Boll, B., and Schnörr, C., ?Assignment Flows and Nonlocal PDEs on Graphs?, GCPR, in press. 2021.

A.  Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., ?Behavior-Driven Synthesis of Human Dynamics?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

A.  Bailoni, ?Deep Learning for Graph-Based Image Instance Segmentation?. Heidelberg University, 2021.

P.  Esser, Rombach, R., Blattmann, A., and Ommer, B., ?ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis?. 2021.

L. M.  Schütz, Louveaux, M., Vilches-Barro, A., Bouziri, S., Cerrone, L., Wolny, A., Kreshuk, A., Hamprecht, F. A., and Maizel, A., ?Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana?, Plant and Cell Physiology, vol. 62, no. 8, pp. 1269-1279, 2021.

A.  Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., ?iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis?, in Proceedings of the International Conference on Computer Vision (ICCV), 2021.

M.  Afifi, Derpanis, K. G., Ommer, B., and Brown, M. S., ?Learning Multi-Scale Photo Exposure Correction?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

C.  Pape, Remme, R., Wolny, A., Olberg, S., Wolf, S., Cerrone, L., Cortese, M., Klaus, S., Lucic, B., Ullrich, S., Anders-Össwein, M., Wolf, S., Cerikan, B., Neufeldt, C. J., Ganter, M., Schnitzler, P., Merle, U., Lusic, M., Boulant, S., Stanifer, M., Bartenschlager, R., Hamprecht, F. A., Kreshuk, A., Tischer, C., Kräusslich, H. - G., Müller, B., and Laketa, V., ?Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera?, BioEssays, vol. 43, no. 3, 2021.

M. Amirul Islam, Kowal, M., Esser, P., Jia, S., Ommer, B., Derpanis, K. G., and Bruce, N., ?Shape or Texture: Understanding Discriminative Features in CNNs?, International Conference on Learning Representations (ICLR). 2021.

M.  Dorkenwald, Milbich, T., Blattmann, A., Rombach, R., Derpanis, K. G., and Ommer, B., ?Stochastic Image-to-Video Synthesis usin cINNs?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

M.  Bellagente, Haußmann, M., Luchmann, M., and Plehn, T., ?Understanding Event-Generation Networks via Uncertainties?. arXiv preprint, 2021.

A.  Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., ?Understanding Object Dynamics for Interactive Image-to-Video Synthesis?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

B.  Brattoli, Büchler, U., Dorkenwald, M., Reiser, P., Filli, L., Helmchen, F., Wahl, A. - S., and Ommer, B., ?Unsupervised behaviour analysis and magnification (uBAM) using deep learning?, Nature Machine Intelligence, 2021.

A.  Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., ?Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution?, eLife, vol. 9, 2020.

F.  Kluger, Brachmann, E., Ackermann, H., Rother, C., Yang, M. Ying, and Rosenhahn, B., ?CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus?, in CVPR 2020, 2020.

S.  Bollweg, Haußmann, M., Kasieczka, G., Luchmann, M., Plehn, T., and Thompson, J., ?Deep-Learning Jets with Uncertainties and More?, SciPost Phys, vol. 8, no. 1, 2020.

E.  Kirschbaum, Bailoni, A., and Hamprecht, F. A., ?DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging?, MICCAI. Proceedings. pp. 151-162, 2020.

T.  Milbich, Roth, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. Paul, ?DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning?, IEEE European Conference on Computer Vision (ECCV). 2020.

H.  Schilling, Gutsche, M., Brock, A., Späth, D., Rother, C., and Krispin, K., ?Mind the Gap ? A Benchmark for Dense Depth Prediction beyond Lidar?, in 2nd Workshop on Safe Artificial Intelligence for Automated Driving, in conjunction with CVPR 2020, 2020.

S.  Wolf, Bailoni, A., Pape, C., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, pp. 3724-3738, 2020.

A.  Bailoni, Pape, C., Wolf, S., Kreshuk, A., and Hamprecht, F. A., ?Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks?, GCPR, vol. 12544. Springer, pp. 331-344, 2020.

A.  Bhowmik, Gumhold, S., Rother, C., and Brachmann, E., ?Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task?, in CVPR 2020 (oral), 2020.

S.  Wolf, Li, Y., Pape, C., Bailoni, A., Kreshuk, A., and Hamprecht, F. A., ?The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation?, ECCV. Proceedings. pp. 208-224, 2020.

T.  Milbich, Roth, K., Brattoli, B., and Ommer, B., ?Sharing Matters for Generalization in Deep Metric Learning?, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

M.  Dorkenwald, Büchler, U., and Ommer, B., ?Unsupervised Magnification of Posture Deviations Across Subjects?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.

S.  Braun, Esser, P., and Ommer, B., ?Unsupervised Part Discovery by Unsupervised Disentanglement?, Proceedings of the German Conference on Pattern Recognition (GCPR) (Oral). Tübingen, 2020.

B.  Jähne, ?Air-Sea Gas Exchange?, Encyclopedia of Ocean Sciences, vol. 6. Academic Press, pp. 1?13, 2019.

A. L.  Bendinger, Debus, C., Glowa, C., Karger, C. P., Peter, J., and Storath, M., ?Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models, in press?, Physics in Medicine and Biology, vol. 64, no. 4, 2019.

J.  Kleesiek, Morshuis, J. Nikolas, Isensee, F., Deike-Hofmann, K., Paech, D., Kickingereder, P., Köthe, U., Rother, C., Forsting, M., Wick, W., Bendszus, M., Schlemmer, H. Peter, and Radbruch, A., ?Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study?, Investigative Radiology, vol. 54, pp. 653?660, 2019.

A.  Sanakoyeu, Tschernezki, V., Büchler, U., and Ommer, B., ?Divide and Conquer the Embedding Space for Metric Learning?,  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.

E.  Brachmann and Rother, C., ?Expert sample consensus applied to camera re-localization?, in Proceedings of the IEEE International Conference on Computer Vision, 2019, vol. 2019-Octob, pp. 7524?7533.

S.  Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?ilastik: interactive machine learning for (bio)image analysis?, Nature Methods, vol. 16, pp. 1226-1232, 2019.

O.  Hosseini Jafari, Mustikovela, S. Karthik, Pertsch, K., Brachmann, E., and Rother, C., ?iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 477?492.

Y.  Bengio, Deleu, T., Rahaman, N., Ke, R., Lachapelle, S., Bilaniuk, O., Goyal, A., and Pal, C., ?A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms?, arXiv preprint arXiv:1901.10912, 2019.

B.  Brattoli, Roth, K., and Ommer, B., ?MIC: Mining Interclass Characteristics for Improved Metric Learning?, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.

E.  Brachmann and Rother, C., ?Neural-guided RANSAC: Learning where to sample model hypotheses?, in Proceedings of the IEEE International Conference on Computer Vision, 2019, vol. 2019-Octob, pp. 4321?4330.

A.  Bhowmik, Gumhold, S., Rother, C., and Brachmann, E., ?Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task?, 2019.

M.  Esposito, Hennersperger, C., Göbl, R., Demaret, L., Storath, M., Navab, N., Baust, M., and Weinmann, A., ?Total variation regularization of pose signals with an application to 3D freehand ultrasound?, IEEE Transactions on Medical Imaging, vol. 38(10), pp. 2245-2258, 2019.

D.  Lorenz, Bereska, L., Milbich, T., and Ommer, B., ?Unsupervised Part-Based Disentangling of Object Shape and Appearance?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral + Best paper finalist: top 45 / 5160 submissions), 2019.

M.  Bopp, ?Air-Flow and Stress Partitioning over Wind Waves in a Linear Wind-Wave Facility?, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, Heidelberg, 2018.

T.  Hoda?, Michel, F., Brachmann, E., Kehl, W., Buch, A. Glent, Kraft, D., Drost, B., Vidal, J., Ihrke, S., Zabulis, X., Sahin, C., Manhardt, F., Tombari, F., Kim, T. Kyun, Matas, J., and Rother, C., ?BOP: Benchmark for 6D object pose estimation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11214 LNCS, pp. 19?35.

P.  Bell and Ommer, B., ?Computer Vision und Kunstgeschichte ? Dialog zweier Bildwissenschaften?, in Computing Art Reader: Einführung in die digitale Kunstgeschichte, P. Kuroczyn?ski et al. (ed.), 2018.

N.  Sayed, Brattoli, B., and Ommer, B., ?Cross and Learn: Cross-Modal Self-Supervision?, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.

A.  Sanakoyeu, Bautista, M., and Ommer, B., ?Deep Unsupervised Learning of Visual Similarities?, Pattern Recognition, vol. 78, 2018.

A. - S.  Wahl, Erlebach, E., Brattoli, B., Büchler, U., Kaiser, J., Ineichen, V. B., Mosberger, A. C., Schneeberger, S., Imobersteg, S., Wieckhorst, M., Stirn, M., Schroeter, A., Ommer, B., and Schwab, M. E., ?Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats?, Sage Journals, vol.  Journal of Cerebral Blood Flow & Metabolism, 2018.

U.  Büchler, Brattoli, B., and Ommer, B., ?Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning?, in Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany, 2018.

O.  Hosseini Jafari, Mustikovela, S. K., Pertsch, K., Brachmann, E., and Rother, C., ?iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects?, ACCV. Proceedings, in press. 2018.

E.  Brachmann and Rother, C., ?Learning Less is More - 6D Camera Localization via 3D Surface Regression?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, pp. 4654?4662.

O.  Ghori, Mackowiak, R., Bautista, M., Beuter, N., Drumond, L., Diego, F., and Ommer, B., ?Learning to Forecast Pedestrian Intention from Pose Dynamics?, in Intelligent Vehicles, IEEE, 2018, 2018.

W.  Erb, Weinmann, A., Ahlborg, M., Brandt, C., Bringout, G., Buzug, T. M., Frikel, J., Kaethner, C., Knopp, T., März, T., Möddel, M., Storath, M., and Weber, A., ?Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging?, Inverse Problems, vol. 34, no. 5, 2018.

T.  Beier, ?Multicut Algorithms for Neurite Segmentation?. Heidelberg University, 2018.

S.  Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed: Efficient, Parameter-Free Image   Partitioning?, ECCV. Proceedings. Springer, pp. 571-587, 2018.

S.  Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed: Efficient, Parameter-Free Image Partitioning?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 571?587.

N.  Rahaman, Arpit, D., Baratin, A., Draxler, F., Lin, M., Hamprecht, F. A., Bengio, Y., and Courville, A., ?On the spectral bias of deep neural networks?, arXiv preprint arXiv:1806.08734, 2018.

K.  Bredies, Holler, M., Storath, M., and Weinmann, A., ?Total Generalized Variation for Manifold-valued Data?, SIAM Journal on Imaging Sciences, vol. 11, no. 3, pp. 1785 - 1848, 2018.

O.  Blum, Brattoli, B., and Ommer, B., ?X-GAN: Improving Generative Adversarial Networks with ConveX Combinations?, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.

A.  Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., ?Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios??, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593?2602.

A.  Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., ?Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios??, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593?2602.

M.  Brosowsky, ?Cluster Resolving for Animal Tracking: Multi Hypotheses Tracking with Part Based Model for Object Hypotheses Generation and Pose Estimation?, University of Heidelberg, 2017.

M.  Bautista, Sanakoyeu, A., and Ommer, B., ?Deep Unsupervised Similarity Learning using Partially Ordered Sets?, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

E.  Brachmann, Krull, A., Nowozin, S., Shotton, J., Michel, F., Gumhold, S., and Rother, C., ?DSAC - Differentiable RANSAC for camera localization?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2492?2500.

M.  Storath, Brandt, C., Hofmann, M., Knopp, T., Salamon, J., Weber, A., and Weinmann, A., ?Edge preserving and noise reducing reconstruction for magnetic particle imaging?, IEEE Transactions on Medical Imaging, vol. 36, no. 1, pp. 74 - 85, 2017.

F.  Michel, Kirillov, A., Brachmann, E., Krull, A., Gumhold, S., Savchynskyy, B., and Rother, C., ?Global hypothesis generation for 6D object pose estimation?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 115?124.

E.  Levinkov, Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., and Andres, B., ?Joint graph decomposition & node labeling: Problem, algorithms, applications?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 1904?1912.

M.  Bautista, Fuchs, P., and Ommer, B., ?Learning Where to Drive by Watching Others?, Proceedings of the German Conference Pattern Recognition, vol. 1. Springer-Verlag, Basel, 2017.

E.  Bodnariuc, Petra, S., Schnörr, C., and Voorneveld, J., ?A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry?, in Proc. GCPR, 2017.

B.  Brattoli, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., ?LSTM Self-Supervision for Detailed Behavior Analysis?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

B.  Balluff, Hanselmann, M., and Heeren, R. M. A., ?Mass spectrometry imaging for the investigation of intratumor heterogeneity?, in Advances in Cancer Research, vol. 134, Elsevier, 2017, pp. 201-230.

T.  Beier, Pape, C., Rahaman, N., Prange, T., Berg, S., Bock, D., Cardona, A., Knott, G. W., Plaza, S. M., Scheffer, L. K., Köthe, U., Kreshuk, A., and Hamprecht, F. A., ?Multicut brings automated neurite segmentation closer to human performance?, Nature Methods, vol. 14, no. 2, pp. 101-102, 2017.

N.  Krasowki, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?Neuron Segmentation with High-Level Biological Priors?, IEEE Transactions on Medical Imaging, vol. 37, no. 4, 2017.

V.  Ulman, Ma?ka, M., Magnusson, K. E. G., Ronneberger, O., Haubold, C., Harder, N., Matula, P., Matula, P., Svoboda, D., Radojevic, M., Smal, I., Rohr, K., Jaldén, J., Blau, H. M., Dzyubachyk, O., Lelieveldt, B., Xiao, P., Li, Y., Cho, S. - Y., Dufour, A., Olivo-Marin, J. C., Reyes-Aldasoro, C. C., Solis-Lemus, J. A., Bensch, R., Brox, T., Stegmaier, J., Mikut, R., Wolf, S., Hamprecht, F. A., Esteves, T., Quelhas, P., Demirel, Ö., Malström, L., Jug, F., Toman?ák, P., Meijering, E., Muñoz-Barrutia, A., Kozubek, M., and Ortiz-de-Solorzano, C., ?An Objective Comparison of Cell Tracking Algorithms?, Nature Methods, vol. 14, no. 12, pp. 1141-1152, 2017.

A. - S.  Wahl, Büchler, U., Brändli, A., Brattoli, B., Musall, S., Kasper, H., Ineichen, B. V., Helmchen, F., Ommer, B., and Schwab, M. E., ?Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation?, Nature Communications, p. (ASW & UB contributed equally; BO and MES contributed equally), 2017.

A.  Krull, Brachmann, E., Nowozin, S., Michel, F., Shotton, J., and Rother, C., ?PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2566?2574.

D.  Massiceti, Krull, A., Brachmann, E., Rother, C., and Torr, P. H. S., ?Random Forests versus Neural Networks ? What's best for camera location?. 2017.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?{Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?, J. Math. Imag. Vision, vol. 58, pp. 102?129, 2017.

C.  Pape, Beier, T., Li, P., Jain, V., Brock, D. D., and Kreshuk, A., ?Solving Large Multicut Problems for Connectomics via Domain Decomposition?, Bioimage Computing Workshop. ICCV. pp. 1-10, 2017.

S.  Peter, Kirschbaum, E., Both, M., Campbell, L. A., Harvey, B. K., Heins, C., Durstewitz, D., Diego, F., and Hamprecht, F. A., ?Sparse convolutional coding for neuronal assembly detection?, NIPS, poster. 2017.

T.  Milbich, Bautista, M., Sutter, E., and Ommer, B., ?Unsupervised Video Understanding by Reconciliation of Posture Similarities?, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017.

M.  Bautista, Sanakoyeu, A., Sutter, E., and Ommer, B., ?CliqueCNN: Deep Unsupervised Exemplar Learning?, in Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), Barcelona, 2016.

M.  Baust, Weinmann, A., Wieczorek, M., Lasser, T., Storath, M., and Navab, N., ?Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach?, IEEE Transactions on Medical Imaging, vol. 35, no. 8, pp. 1972?1989, 2016.

L.  Balles, ?Deep Learning for Diabetic Retinopathy Diagnostics?, University of Heidelberg, 2016.

J.  Kleesiek, Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., and Biller, A., ?Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.?, NeuroImage, vol. 129, pp. 460-469, 2016.

P.  Bell and Ommer, B., ?Digital Connoisseur? How Computer Vision Supports Art History?, in Connoisseurship nel XXI secolo. Approcci, Limiti, Prospettive, A. Aggujaro & S. Albl (ed.), Rome: Artemide, 2016.

T.  Beier, Andres, B., Köthe, U., and Hamprecht, F. A., ?An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem?, ECCV. Proceedings, vol. LNCS 9906. Springer, pp. 715-730, 2016.

D.  Kondermann, Nair, R., Honauer, K., Krispin, K., Andrulis, J., Brock, A., Güssefeld, B., Rahimimoghaddam, M., Hofmann, S., Brenner, C., and Jähne, B., ?The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving?, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016.

A.  Biller, Badde, S., Nagel, A., Neumann, J. O., Wick, W., Hertenstein, A., Bendszus, M., Sahm, F., Benkhedah, N., and Kleesiek, J., ?Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression?, American Journal of Neuroradiology, vol. 37 , pp. 66-73, 2016.

J.  Berger and Schnörr, C., ?Joint Recursive Monocular Filtering of Camera Motion and Disparity Map?, in 38th German Conference on Pattern Recognition, Hannover, 2016.

J.  Berger and Schnörr, C., ?Joint Recursive Monocular Filtering of Camera Motion and Disparity Map?, in 38th German Conference on Pattern Recognition, 2016.

A.  Stefanoiu, Weinmann, A., Storath, M., Navab, N., and Baust, M., ?Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm?, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3384 - 3394, 2016.

E.  Bodnariuc, Petra, S., Poelma, C., and Schnörr, C., ?Parametric Dictionary-Based Velocimetry for Echo PIV?, in Proc. CGPR, 2016.

E.  Bodnariuc, Schiffner, M. F., Petra, S., and Schnörr, C., ?Plane Wave Acoustic Superposition for Fast Ultrasound Imaging?, International Ultrasonics Symposium. 2016.

C.  Haubold, Schiegg, M., Kreshuk, A., Berg, S., Köthe, U., and Hamprecht, F. A., ?Segmenting and Tracking Multiple Dividing Targets Using ilastik?, in Focus on Bio-Image Informatics, vol. 219, Springer, 2016, pp. 199-229.

E.  Brachmann, Michel, F., Krull, A., Yang, M. Ying, Gumhold, S., and Rother, C., ?Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol. 2016-Decem, pp. 3364?3372.

E.  Brachmann, Michel, F., Krull, A., Yang, M. Ying, Gumhold, S., and Rother, C., ?Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol. 2016-Decem, pp. 3364?3372.

J.  Kleesiek, Petersen, J., Döring, M., Maier-Hein, K., Köthe, U., Wick, W., Hamprecht, F. A., Bendszus, M., and Biller, A., ?Virtual Raters for Reproducible and Objective Assessments in Radiology?, Nature Scientific Reports, vol. 6, 2016.

A.  Biesdorf, Wörz, S., von Tengg-Kobligk, H., Rohr, K., and Schnörr, C., ?3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization?, in Proc.~ISBI, 2015.

E.  Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., ?Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV?, in Proc.~EMMCVPR, 2015, vol. 8932, p. 378--391.

E.  Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., ?Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV?, in EMMCVPR, 2015.

N.  Krah, Testa, M., Brons, S., Jäkel, O., Parodi, K., Voss, B., and Rinaldi, I., ?An advanced image processing method to improve the spatial resolution of ion radiographies?, Physics in Medicine and Biology, vol. 60, p. 8525, 2015.

N.  Gianniotis, Schnörr, C., Molkenthin, C., and Bora, S. S., ?Approximate variational inference based on a finite sample of Gaussian latent variables?, Patt.~Anal.~Appl., 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, pp. 1-30, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, Int.~J.~Comp.~Vision, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

A.  Neufeld, Berger, J., Becker, F., Lenzen, F., and Schnörr, C., ?Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework?, in 37th German Conference on Pattern Recognition, 2015.

T.  Beier, Hamprecht, F. A., and Kappes, J. H., ?Fusion Moves for Correlation Clustering?, in CVPR. Proceedings, 2015, pp. 3507-3516.

N.  Krasowski, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors?, in 12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015, 2015, pp. 536-539.

A.  Krull, Brachmann, E., Michel, F., Yang, M. Ying, Gumhold, S., and Rother, C., ?Learning analysis-by-synthesis for 6d pose estimation in RGB-D images?, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 954?962.

M.  Diebold, Blum, O., Gutsche, M., Wanner, S., Garbe, C. S., Baker, H., and Jähne, B., ?Light-field camera design for high-accuracy depth estimation?, Videometrics, Range Imaging, and Applications XIII. 2015.

M.  Diebold, Blum, O., Gutsche, M., Wanner, S., Garbe, C., Baker, H., and Jähne, B., ?Light-field camera design for high-accuracy depth estimation?, in Videometrics, Range Imaging, and Applications XIII, 2015.

E.  Mesarchaki, Kräuter, C., Krall, K. Ellen, Bopp, M., Helleis, F., Williams, J., and Jähne, B., ?Measuring air?sea gas-exchange velocities in a large-scale annular wind?wave tank?, Ocean Sci., vol. 11, p. 121--138, 2015.

F.  Michel, Krull, A., Brachmann, E., Yang, M. Ying, Gumhold, S., and Rother, C., ?Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression?, 2015, pp. 181.1?181.11.

J.  Berger, Neufeld, A., Becker, F., Lenzen, F., and Schnörr, C., ?Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations?, in Scale Space and Variational Methods in Computer Vision (SSVM 2015), 2015.

J.  Berger, Neufeld, A., Becker, F., Lenzen, F., and Schnörr, C., ?Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations?, in Scale Space and Variational Methods in Computer Vision (SSVM 2015), 2015.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?. 2015.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?. 2015.

F.  Lenzen and Berger, J., ?Solution-Driven Adaptive Total Variation Regularization?, in LNCS, 2015.

F.  Lenzen and Berger, J., ?Solution-Driven Adaptive Total Variation Regularization?, in LNCS, 2015.

B.  Antic, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., ?Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery?, in Medical Image Computing and Computer-Assisted Intervention, 2015.

D.  Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Honauer, K., Hofmann, S., Brenner, C., and Jähne, B., ?Stereo Ground Truth with Error Bars?, in Computer Vision ? ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V, Cham: Springer International Publishing, 2015, pp. 595?610.

C.  Cali, Baghabra, J., Boges, D. J., Holst, G. R., Kreshuk, A., Hamprecht, F. A., Srinivasan, M., Lehväslaiho, H., and Magistretti, P. J., ?Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues?, Journal of Comparative Neurology, vol. 524, pp. 23-38, 2015.

P.  Bell and Ommer, B., ?Training Argus?, Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege, vol. 68, p. 414--420, 2015.

M.  Takami, Bell, P., and Ommer, B., ?An Approach to Large Scale Interactive Retrieval of Cultural Heritage?, in Eurographics Workshop on Graphics and Cultural Heritage, 2014.

T.  Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Asymmetric Cuts: Joint Image Labeling and Partitioning?, in Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings, 2014.

T.  Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Asymmetric Cuts: Joint Image Labeling and Partitioning?, in 36th German Conference on Pattern Recognition, 2014.

A.  Kreshuk, Köthe, U., Pax, E., Bock, D. D., and Hamprecht, F. A., ?Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks?, PLoS ONE, vol. 9, p. 2, 2014.

L.  Maier-Hein, Mersmann, S., Kondermann, D., Bodenstedt, S., Sanchez, A., Stock, C., Kenngott, H., Eisenmann, M., and Speidel, S., ?Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images?, in MICCAI, 2014.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems?, CoRR, 2014.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, CoRR, vol. abs/1404.0533, 2014.

L.  Maier-Hein, Mersmann, S., Kondermann, D., Stock, C., Kenngott, H., Sanchez, A., Wagner, M., Preukschas, A., Wekerle, A. - L., Helfert, S., Bodenstedt, S., and Speidel, S., ?Crowdsourcing for reference correspondence generation in endoscopic images?, in MICCAI, 2014.

T.  Beier, Kröger, T., Kappes, J. H., Köthe, U., and Hamprecht, F. A., ?Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning?, in 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014, 2014.

E.  Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., ?Detection of social actions in fruit flies?, Lecture Notes in Computer Science, vol. 8690, pp. 772?787, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography?, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, p. 262--274.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography?, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, pp. 262?274.

T.  Beier, ?Graph based image analysis?, University of Heidelberg, 2014.

M.  Horná?ek, Besse, F., Kautz, J., Fitzgibbon, A., and Rother, C., ?Highly overparameterized optical flow using PatchMatch belief propagation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8691 LNCS, pp. 220?234.

J.  Kleesiek, Biller, A., Urban, G., Köthe, U., Bendszus, M., and Hamprecht, F. A., ?ilastik for Multi-modal Brain Tumor Segmentation?, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace, 2014, pp. 12-17.

F.  Blumenthal, ?Information-Geometric Optimization for Image Segmentation?, University of Heidelberg, 2014.

M.  Bopp, ?Luft- und wasserseitige Strömungsverhältnisse im ringförmigen Heidelberger Wind-Wellen-Kanal (Aeolotron)?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2014.

M.  Bopp, ?Luft- und wasserseitige Strömungsverhältnisse im ringförmigen Heidelberger Wind-Wellen-Kanal (Aeolotron)?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2014.

J. H.  Kappes, Beier, T., and Schnörr, C., ?MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves?, in Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {II}, 2014.

J. Hendrik Kappes, Beier, T., and Schnörr, C., ?MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves?, in International Workshop on Graphical Models in Computer Vision, 2014.

E.  Mesarchaki, Kräuter, C., Krall, K. Ellen, Bopp, M., Helleis, F., Williams, J., and Jähne, B., ?Measuring air-sea gas exchange velocities in a large scale annular wind-wave tank?, Ocean Sci. Discuss., vol. 11, p. 1643--1689, 2014.

A.  Monroy, Bell, P., and Ommer, B., ?Morphological Analysis for Investigating Artistic Images?, Image and Vision Computing, vol. 32, p. 414--423, 2014.

G.  Urban, Bendszus, M., Hamprecht, F. A., and Kleesiek, J., ?Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks?, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution, 2014, pp. 31-35.

P.  Márquez-Neila, Kohli, P., Rother, C., and Baumela, L., ?Non-parametric higher-order random fields for image segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8694 LNCS, pp. 269?284.

M.  Takami, Bell, P., and Ommer, B., ?Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM?, in Winter Conference on Applications of Computer Vision, 2014, p. 377--384.

F.  Becker, Petra, S., and Schnörr, C., ?Optical Flow?, Handbook of Mathematical Methods in Imaging. Springer, 2014.

J.  Yarkony, Beier, T., Baldi, P., and Hamprecht, F. A., ?Parallel Multicut Segmentation via Dual Decomposition?, in New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Besse, Rother, C., Fitzgibbon, A., and Kautz, J., ?PMBP: PatchMatch Belief Propagation for correspondence field estimation?, International Journal of Computer Vision, vol. 110, pp. 2?13, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J.~Imag.~Sci., vol. 7, p. 2139--2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J. Imag. Sci., vol. 7, pp. 2139?2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving QVIs for Image Restoration with Adaptive Constraint Sets?, SIAM Journal on Imaging Sciences (SIIMS), in press, 2014.

D.  Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Hofmann, S., Brenner, C., and Jähne, B., ?Stereo ground truth with error bars?, in Asian Conference on Computer Vision, ACCV 2014, 2014.

F.  Lenzen, Becker, F., and Lellmann, J., ?Adaptive Second-Order Total Variation: An Approach Aware of SlopeDiscontinuities?, in Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM, 2013, vol. 7893, pp. 61-73.

F.  Lenzen, Becker, F., and Lellmann, J., ?Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities?, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 54, no. 2, p. 371--398.

F.  Diego, Reichinnek, S., Both, M., and Hamprecht, F. A., ?Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning?, ISBI 2013. Proceedings, pp. 1058-1061, 2013.

M.  Arnold, Bell, P., and Ommer, B., ?Automated Learning of Self-Similarity and Informative Structures in Architecture?, in Scientific Computing & Cultural Heritage, 2013.

S.  Petra, Schnörr, C., Becker, F., and Lenzen, F., ?B-SMART: Bregman-Based First-Order Algorithms for Non-NegativeCompressed Sensing Problems?, in Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM, 2013, pp. 110-124.

S.  Petra, Schnörr, C., Becker, F., and Lenzen, F., ?B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems?, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 7893, pp. 110-124.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?A Class of Quasi-Variational Inequalities for Adaptive Image Denoisingand Decomposition?, Computational Optimization and Applications (COAP), vol. 54 (2), pp. 371-398, 2013.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?A class of quasi-variational inequalities for adaptive image denoising and decomposition?, Computational Optimization and Applications, vol. 54, pp. 371-398, 2013.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis?, Optimization Methods and Software, vol. 28, pp. 1081-1094, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems?, in CVPR 2013. Proceedings, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem?, in CVPR, 2013.

F.  Lenzen, Kim, K. I., Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., ?Denoising Strategies for Time-of-Flight Data?, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200, pp. 24-25.

F.  Lenzen, Kim, K. In, Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., ?Denoising Strategies for Time-of-Flight Data?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 25-45, 2013.

P. Salomon Bauer, ?Development of an imaging polarimeter for water wave slope measurements?, Institut für Umwelphysik, Univeristät Heidelberg, Germany, 2013.

A.  Hosni, Rhemann, C., Bleyer, M., Rother, C., and Gelautz, M., ?Fast cost-volume filtering for visual correspondence and beyond?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 504?511, 2013.

A.  Monroy, Bell, P., and Ommer, B., ?A Morphometric Approach to Reception Analysis of Premodern Art?, in Scientific Computing & Cultural Heritage, 2013.

M.  Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., ?Movie Dimensionalization Via Sparse User Annotations?, in submitted to 3DTV-Con, 2013.

D.  Kondermann and Becker, M., ?Movie Dimensionalization Via Sparse User Annotations?, in submitted to ICCV, 2013.

P.  Bell, Schlecht, J., and Ommer, B., ?Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History?, Visual Resources Journal, Special Issue on Digital Art History, vol. 29, p. 26--37, 2013.

D.  Kiefhaber, Rocholz, R., Bauer, P. Salomon, and Jähne, B., ?Optical measurement of surface ocean waves?, in 3rd EOS Topical Meeting on Blue Photonics --- Optics in the Sea, 2013.

K.  Berger, Meister, S., Nair, R., and Kondermann, D., ?A State of the Art Report on Kinect Sensor Setups in Computer Vision?, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013, vol. 8200, pp. 257-272.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences?, International Journal of Computer Vision, vol. 105 (3), pp. 269-297, 2013.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, International Journal of Computer Vision, vol. 105, no. 3, p. 269--297, 2013.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, International Journal of Computer Vision, vol. 105, pp. 269?297, 2013.

B.  Andres, Köthe, U., Kröger, T., Helmstaedter, M., Briggmann, K. L., Denk, W., and Hamprecht, F. A., ?3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries?, Medical Image Analysis, vol. 16 (2012), pp. 796-805, 2012.

C. M.  Zechmann, Menze, B. H., Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Delorme, S., Hamprecht, F. A., and Bachert, P., ?Automated vs. manual pattern recognition of 3D 1H MRSI data of patients with prostate cancer?, Academic Radiology, vol. 19, 6, pp. 675-684, 2012.

B.  Voss, Stapf, J., Berthe, A., and Garbe, C. S., ?Bichromatic Particle Streak Velocimetry bPSV -- Interfacial, v3C3D velocimetry using a single camera?, Exp. Fluids, 2012.

V.  Lempitsky, Blake, A., and Rother, C., ?Branch-and-mincut: Global optimization for image segmentation with high-level priors?, Journal of Mathematical Imaging and Vision, vol. 44, pp. 315?329, 2012.

M.  Bleyer, Rhemann, C., and Rother, C., ?Extracting 3D scene-consistent object proposals and depth from stereo images?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467?481.

M.  Bleyer, Rhemann, C., and Rother, C., ?Extracting 3D scene-consistent object proposals and depth from stereo images?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7576 LNCS, pp. 467?481.

B.  Andres, Kröger, T., Briggmann, K. L., Denk, W., Norogod, N., Knott, G. W., Köthe, U., and Hamprecht, F. A., ?Globally Optimal Closed-Surface Segmentation for Connectomics?, in ECCV 2012. Proceedings, Part 3, 2012, pp. 778-791.

R.  Nair, Meister, S., Lambers, M., Balda, M., Hofmann, H., Kolb, A., Kondermann, D., and Jähne, B., ?Ground truth for evaluating time of flight imaging?, Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, vol. 8200. Springer, p. 52--74, 2012.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models?, in Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}, 2012.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models?, in ECCV 2012, 2012.

B.  Andres, Kappes, J. Hendrik, Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models?, in ECCV 2012, 2012.

B.  Andres, Beier, T., and Kappes, J. H., ?OpenGM: A C++ Library for Discrete Graphical Models?, ArXiv e-prints, 2012.

B. Y.  Renard, Xu, B., Kirchner, M., Zickmann, F., Winter, D., Korten, S., Brattig, N., Tzur, A., Hamprecht, F. A., and Steen, H., ?Overcoming species boundaries in peptide identification with BICEPS?, Molecular and Cellular Proteomics, vol. 11, 2012.

C. N.  Straehle, Köthe, U., Briggman, K., Denk, W., and Hamprecht, F. A., ?Seeded watershed cut uncertainty estimators for guided interactive segmentation?, in CVPR 2012. Proceedings, 2012, pp. 765 - 772.

A.  Monroy, Bell, P., and Ommer, B., ?Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions?, in Proceedings of the European Conference on Computer Vision, Workshop on VISART, 2012, vol. 7583, p. 571--580.

F.  Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., ?Variational Adaptive Correlation Method for Flow Estimation?, IEEE Transactions on Image Processing, vol. 21, p. 3053 -- 3065, 2012.

F.  Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., ?Variational Adaptive Correlation Method for Flow Estimation?, IEEE Transactions on Image Processing, vol. 21, pp. 3053 ? 3065, 2012.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?Variational Image Denoising with Adaptive Constraint Sets?, in LNCS, 2012, pp. 206-217.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?Variational Image Denoising with Adaptive Constraint Sets?, in Proceedings of the 3rd International Conference on Scale Space and Variational Methods in Computer Vision 2011, 2012, pp. 206-217.

S.  Nowozin, Rother, C., Bagon, S., Sharp, T., Yao, B., and Kohli, P., ?Decision tree fields?, in Proceedings of the IEEE International Conference on Computer Vision, 2011, pp. 1668?1675.

M.  Becker, ?Framework for 3D Reconstruction and Camera Motion. Estimation fromMultiple Camera Views?, University of Heidelberg, 2011.

S.  Wanner, Fehr, J., and Jähne, B., ?Generating EPI representations of 4D light fields with a single lens focused plenoptic camera?, Advances in Visual Computing. Springer, p. 90--101, 2011.

D.  Kiefhaber, Rocholz, R., Schaper, J., Balschbach, G., and Jähne, B., ?Mean square slope measurements in the field with the reflective stereo slope gauge?, in EGU General Assembly, Vienna, 2011.

D.  Kiefhaber, Rocholz, R., Balschbach, G., Schaper, J., and Jähne, B., ?Measurement of ocean wave statistics with the reflective stereo slope gauge?, in DPG Frühjahrstagung Dresden, Fachverband Umweltphysik, 2011.

M.  Bopp, ?Messung der Schubspannungsgeschwindigkeit am Heidelberger Aeolotron mittels der Impulsbilanzmethode?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.

D.  Breitenreicher and Schnörr, C., ?Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data?, Int.~J.~Comp.~Vision, vol. 92, p. 32--52, 2011.

D.  Breitenreicher and Schnörr, C., ?Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data?, Int. J. Comp. Vision, vol. 92, pp. 32?52, 2011.

M.  Bleyer, Rother, C., Kohli, P., Scharstein, D., and Sinha, S., ?Object stereo Joint stereo matching and object segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 3081?3088.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem?, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, p. 132--146.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem?, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, pp. 132?146.

M.  Bleyer, Rhemann, C., and Rother, C., ?PatchMatch Stereo - Stereo Matching with Slanted Support Windows?, 2011, pp. 14.1?14.11.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in ICCV, Proceedings, 2011, pp. 2611 - 2618.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?Sparse Template-Based Variational Image Segmentation?, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?Sparse Template-Based Variational Image Segmentation?, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

X.  Lou and Hamprecht, F. A., ?Structured Learning for Cell Tracking?, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.

B. Michael Kelm, Kaster, F. O., Henning, A., Weber, M. - A., Bachert, P., Bösinger, P., Hamprecht, F. A., and Menze, B. H., ?Using Spatial Prior Knowledge in the Spectral Fitting of Magnetic Resonance Spectroscopic Images?, NMR in Biomedicine, vol. 25(1), pp. 1-13, 2011.

F.  Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., ?Variational Adaptive Correlation Method for Flow Estimation?, IEEE Transactions on Image Processing, vol. 21, 6, pp. 3053 - 3065, 2011.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?Variational Image Denoising with Adaptive Constraint Sets?, in Proceedings of the 3nd International Conference on Scale Space andVariational Methods in Computer Vision 2011, in press, 2011, vol. 6667, pp. 206-217.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences?, in 2011 IEEE International Conference on Computer Vision ICCV, 2011, pp. 1692-1699.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, p. 1692 -- 1699.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, pp. 1692 ? 1699.

M.  Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R., ?Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy?, Nano Letters, vol. 11, pp. 3099-3107, 2011.

A. G.  Herzog, Binder, T., Friedl, F., and Jähne, B., ?Estimating water-sided vertical gas concentration profiles by inverse modeling?, in 2nd Int. Conf. Eng. Optimization, Lisbon, 6--9. Sep. 2010, 2010.

J.  Lellmann, Breitenreicher, D., and Schnörr, C., ?Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision?, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, p. 494--505.

J.  Lellmann, Breitenreicher, D., and Schnörr, C., ?Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision?, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, pp. 494?505.

K.  Börner, Hermle, J., Sommer, C., Brown, N. P., Knapp, B., Glass, B., Torralba, G., Reymann, J., Beil, N., Beneke, J., Pepperkok, R., Schneider, R., and Ludwig, T., ?From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication?, Biotechnology Journal, vol. 5, pp. 39-49, 2010.

V.  Lempitsky, Rother, C., Roth, S., and Blake, A., ?Fusion moves for markov random field optimization?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 1392?1405, 2010.

V.  Lempitsky, Rother, C., Roth, S., and Blake, A., ?Fusion moves for markov random field optimization?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 1392?1405, 2010.

V.  Gulshan, Rother, C., Criminisi, A., Blake, A., and Zisserman, A., ?Geodesic star convexity for interactive image segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 3129?3136.

B.  Ommer and Buhmann, J. M., ?Learning the Compositional Nature of Visual Object Categories for Recognition?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, p. 501--516, 2010.

D.  Breitenreicher and Schnörr, C., ?Robust 3D object registration without explicit correspondence using geometric integration?, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.

D.  Breitenreicher and Schnörr, C., ?Robust 3D object registration without explicit correspondence using geometric integration?, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.

F.  Rathke, Hansen, K., Brefeld, U., and Müller, K. - R., ?StructRank: A new approach for ligand-based virtual screening?, J. Chem. Inf. Model., vol. 51, pp. 83?92, 2010.

M.  Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Parts-Based Object Class Detection Using Complete Graphs?, Int.~J.~Comp.~Vision, vol. 87, pp. 93-117, 2010.

M.  Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Parts-Based Object Class Detection Using Complete Graphs?, Int. J. Comp. Vision, vol. 87, pp. 93-117, 2010.

M.  Bleyer, Rother, C., and Kohli, P., ?Surface stereo with soft segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 1570?1577.

A.  Berthe, Kondermann, D., Christensen, C., Goubergrits, L., Garbe, C. S., Affeld, K., and Kertzscher, U., ?Three-dimensional, three-component wall-PIV?, Exp. Fluids, vol. 48, p. online, 2010.

V.  Beushausen, Roetmann, K., Schmunk, W., Wellhausen, M., Garbe, C. S., and Jähne, B., ?2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications?, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 155--164, 2009.

M.  Hayn, Beirle, S., Hamprecht, F. A., Platt, U., Menze, B. H., and Wagner, T., ?Analysing spatio-temporal patterns of the global NO2-distribution retrieved frome GOME satellite observations using a generalized additive model?, Atmospheric Chemistry and Physics, vol. 9, pp. 9367-9398, 2009.

J.  Fehr and Burkhardt, H., ?A Bag of Features Approach for 3D Shape Retrieval?, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 34-43.

B. H.  Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., ?A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data?, BMC Bioinformatics, vol. 10:213, 2009.

S. V. E.  Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., ?Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species?, in Evolution-The Molecular Landscape, 2009.

F.  Lauer, Bloch, G., and Vidal, R., ?A Continuous Optimization Framework for Hybrid System Identification?, in submitted to Automatica, 2009.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., Schnörr, C., Mórken, K., and Lysaker, M., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

J.  Lellmann, Becker, F., and Schnörr, C., ?Convex Optimization for Multi-Class Image Labeling with a Novel Familyof Total Variation Based Regularizers?, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, 2009, pp. 646-653.

J.  Lellmann, Becker, F., and Schnörr, C., ?Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers?, in IEEE International Conference on Computer Vision (ICCV), 2009, p. 646 -- 653.

J.  Fehr, Reisert, M., and Burkhardt, H., ?Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches?, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 287-296.

C.  Bähnisch, Stelldinger, P., and Köthe, U., ?Fast and Accurate 3D Edge Detection for Surface Reconstruction?, in Pattern Recognition, 2009, vol. 5748, pp. 111-120.

D.  Breitenreicher and Schnörr, C., ?Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence?, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.

D.  Breitenreicher and Schnörr, C., ?Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence?, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.

J.  Fehr and Burkhardt, H., ?Local Rotation Invariant Patch Descriptors for 3D Vector Fields?, in to be submitted, 2009.

B.  Andres, Köthe, U., Bonea, A., Nadler, B., and Hamprecht, F. A., ?Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times?, in Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings, 2009, vol. 5748, pp. 502-511.

B.  Ommer, Mader, T., and Buhmann, J. M., ?Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera?, International Journal of Computer Vision, vol. 83, p. 57--71, 2009.

M.  Bleyer, Gelautz, M., Rother, C., and Rhemann, C., ?A stereo approach that handles the matting problem via imagewarping?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 501?508.

F.  Becker, ?Variational Correlation and Decomposition Methods for Particle Image Velocimetry?. Heidelberg University, Faculty of Mathematics and Computer Sciences, Heidelberg, Germany, 2009.

A.  Berthe, Kondermann, D., Jähne, B., and Ketzscher, U., ?The wall PIV measurement technique for near wall flow fields in biofliud mechanics?, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 11--20, 2009.

D.  Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., ?An active thermographic technique for highly resolved heat transport measurements in paper drying?, APPITA Journal, vol. 61, p. 244--249, 2008.

P. Vincent Gehler, Rother, C., Blake, A., Minka, T., and Sharp, T., ?Bayesian color constancy revisited?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, IWR, University of Heidelberg, 2008.

F.  Becker and Schnörr, C., ?Decomposition of Quadratric Variational Problems?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.

F.  Becker and Schnörr, C., ?Decomposition of Quadratric Variational Problems?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, Exp. Fluids, vol. 45, p. 583--593, 2008.

V.  Lempitsky, Blake, A., and Rother, C., ?Image segmentation by branch-and-mincut?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15?29.

V.  Lempitsky, Blake, A., and Rother, C., ?Image segmentation by branch-and-mincut?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15?29.

J. F.  Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O., ?Inverse Problems and Parameter Identification in Image Processing?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.

K.  Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., ?Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering?, Exp. Fluids, vol. 44, p. 419--430, 2008.

B. H.  Menze, Kelm, B. Michael, Weber, M. - A., Bachert, P., and Hamprecht, F. A., ?Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI?, Magnetic Resonance in Medicine, vol. 59, pp. 1457-1466, 2008.

D.  Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S., ?Motion Estimation Based on a Temporal Model of Fluid Flows?, in 13th International Symposium on Flow Visualization, 2008, pp. 1-10.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear Analysis of Multi-Dimensional Signals?, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.

C. S.  Garbe, Roetmann, K., Beushausen, V., and Jähne, B., ?An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion?, Exp. Fluids, vol. 44, p. 439--450, 2008.

S.  Boppel, ?Peak Identification for Liquid Chromatography and Mass Spectrometry?, University of Heidelberg, 2008.

O.  Friedrich, Weber, C., Both, M., von Wegner, F., Chamberlain, J. S., Garbe, C. S., and Fink, R. H. A., ?Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse)?, in 87th Annual Meeting of the German Physiological Society, 2008.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?A Variational Approach to Adaptive Correlation for Motion Estimationin Particle Image Velocimetry"?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, pp. 335-344.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 335--344.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry?, in Pattern Recognition ? 30th DAGM Symposium, 2008, vol. 5096, pp. 335?344.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?Variational Correlation Approach to Flow Measurement with WindowAdaption?, in 14th International Symposium on Applications of Laser Techniquesto Fluid Mechanics, 2008, p. 1.1.8.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?Variational Correlation Approach to Flow Measurement with Window Adaption?, in 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2008, p. 1.1.3.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?Variational Correlation Approach to Flow Measurement with Window Adaption?, in 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2008, p. 1.1.3.

D.  Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., ?An active thermographic technique for highly resolved heat transport measurements in paper drying?, in 61st Appita Annual Conference Proceedings, 2007, pp. 161-167.

C. S.  Garbe, Banerjee, D., Schimpf, U., and Jähne, B., ?Aktive Thermografie für die Untersuchung von Transportprozessen?, in Thermografie-Kolloquium, 2007, p. 1--8.

V.  Kolmogorov, Boykov, Y., and Rother, C., ?Applications of parametric maxflow in computer vision?, in Proceedings of the IEEE International Conference on Computer Vision, 2007.

V.  Kolmogorov, Boykov, Y., and Rother, C., ?Applications of parametric maxflow in computer vision?, in Proceedings of the IEEE International Conference on Computer Vision, 2007.

B. Michael Kelm, Menze, B. H., Zechmann, C. M., Baudendistel, K. T., and Hamprecht, F. A., ?Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification?, Magnetic Resonance in Medicine, vol. 57, pp. 150-159, 2007.

C.  Weber, Zechmann, C. M., Kelm, B. Michael, Zamecnik, R., Hendricks, D., Waldherr, R., Hamprecht, F. A., Delorme, S., Bachert, P., and Ikinger, U., ?Comparison of correctness of manuel and automatic evaluation of MR-spectrum with prostrate cancer?, Der Urologe, vol. 46, p. 1252, 2007.

B.  Jähne, Complex Motion, Proceedings of the 1st Workshop, Günzburg, October 2004, vol. 3417. Springer, 2007.

B.  Ommer and Buhmann, J. M., ?Compositional Object Recognition, Segmentation, and Tracking in Video?, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007, vol. 4679, p. 318--333.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, in 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept., 2007.

A.  Criminisi, Blake, A., Rother, C., Shotton, J., and Torr, P. H. S., ?Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming?, International Journal of Computer Vision, vol. 71, pp. 89?110, 2007.

A.  Blake, Criminisi, A., Cross, G., Kolmogorov, V., and Rother, C., ?Fusion of stereo, colour and contrast?, Springer Tracts in Advanced Robotics, vol. 28, 2007.

R.  Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., ?Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification?, in Pattern Recognition -- 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.

R.  Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., ?Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification?, in Pattern Recognition ? 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.

B.  Ommer and Buhmann, J. M., ?Learning the Compositional Nature of Visual Objects?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007, p. 1--8.

V.  Lempitsky, Rother, C., and Blake, A., ?LogCut - Efficient graph cut optimization for markov random fields?, in Proceedings of the IEEE International Conference on Computer Vision, 2007.

M.  Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., ?Median and related local filters for tensor-valued images?, Signal Processing, vol. 87, pp. 291-308, 2007.

M.  Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., ?Median and related local filters for tensor-valued images?, Signal Processing, vol. 87, pp. 291-308, 2007.

C.  Sigg, Fischer, B., Ommer, B., Roth, V., and Buhmann, J. M., ?Nonnegative CCA for Audiovisual Source Separation?, in International Workshop on Machine Learning for Signal Processing, 2007, p. 253--258.

U.  Baus, ?Phasenmessende Streifenreflektometrie mit Stereo-Monitor-Anordnung zur Vermessung von nicht stetigen spiegelnden Präzisionsflächen?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2007.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

K.  Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., ?Analyse Mikrofluidischer Strömungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung?, in Tagungsband Lasermethoden in der Strömungsmesstechnik, 2006.

C. M.  Zechmann, Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Röll, S., Delorme, S., Hamprecht, F. A., and Bachert, P., ?Can man still beat the machine? Automated vs. manual pattern recognition of 3D MRSI data of prostate cancer patients?, in Proceedings of the 16th ISMRM, 2006.

B. Michael Kelm, Menze, B. H., Neff, T., Zechmann, C. M., and Hamprecht, F. A., ?CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods.?, in Bildverarbeitung für die Medizin 2006 - Algorithmen, Systeme, Anwendungen, 2006, pp. 51-55.

C.  Rother, Kolmogorov, V., Minka, T., and Blake, A., ?Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, vol. 1, pp. 994?1000.

M. P.  Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., ?Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren?, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.

B.  Ommer and Buhmann, J. M., ?Learning Compositional Categorization Models?, in Proceedings of the European Conference on Computer Vision, 2006, vol. 3953, p. 316--329.

M.  Bergtholdt, Kappes, J. H., and Schnörr, C., ?Learning of Graphical Models and Efficient Inference for Object Class Recognition?, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.

B. H.  Menze, Kelm, B. Michael, Heck, D., Lichy, M. P., and Hamprecht, F. A., ?Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images?, in Bildverarbeitung für die Medizin, 2006, pp. 31-36.

K.  Roetmann, Garbe, C. S., Schmunk, W., and Beushausen, V., ?Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering?, in Proc.\ of 12th International Symposium on Flow Visualization, 2006.

A.  Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., ?A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods?, Int.~J.~Computer Vision, vol. 70, pp. 257-277, 2006.

A.  Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., ?A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods?, Int. J. Computer Vision, vol. 70, pp. 257-277, 2006.

B. H.  Menze, Lichy, M. P., Bachert, P., Kelm, B. Michael, Schlemmer, H. P., and Hamprecht, F. A., ?Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor?, NMR in Biomedicine, vol. 19, pp. 599-609, 2006.

V.  Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., ?Probabilistic fusion of stereo with color and contrast for bilayer segmentation?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1480?1492, 2006.

K.  Roetmann, Garbe, C. S., and Beushausen, V., ?2D-Molecular Tagging Velocimetry zur Analyse Mikrofluidischer Strömungen?, in Tagungsband Lasermethoden in der Strömungsmesstechnik (GALA), 2005, p. 26/1--26/10.

V.  Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., ?Bi-layer segmentation of binocular stereo video?, in Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 2005, vol. II, pp. 407?414.

C.  Rother, Kumar, S., Kolmogorov, V., and Blake, A., ?Digital tapestry [automatic image synthesis]?, in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, vol. 1, pp. 589?596.

A.  Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., ?Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time?, in Scale-Space 2005, 2005, vol. 3459, pp. 279?290.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain decomposition for variational optical flow computation?, IEEE Trans. Image Proc., vol. 14, pp. 1125-1137, 2005.

D.  Banerjee, Schabel, S., Garbe, C. S., Schimpf, U., Jähne, B., and von Spiegel, W., ?High resolution optical measurement techniques in paper drying?, Inpaper International - 9-10, vol. 4. p. 16--22, 2005.

A.  Bruhn, Weickert, J., and Schnörr, C., ?Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods?, vol. 61, pp. 211-231, 2005.

M.  Welk, Becker, F., Schnörr, C., and Weickert, J., ?Matrix-Valued Filters as Convex Programs?, in Scale-Space 2005, 2005, vol. 3459, pp. 204?216.

B.  Ommer and Buhmann, J. M., ?Object Categorization by Compositional Graphical Models?, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005, vol. 3757, p. 235--250.

M.  Bergtholdt and Schnörr, C., ?Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes?, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 342?350, 2005.

J.  Yuan, Schnörr, C., Steidl, G., and Becker, F., ?A Study of Non-Smooth Convex Flow Decomposition?, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1?12.

A.  Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., ?Variational optic flow computation in real-time?, IEEE Trans. Image Proc., vol. 14, pp. 608?615, 2005.

M.  Bergtholdt, Cremers, D., and Schnörr, C., ?Variational Segmentation with Shape Priors?, Handbook of Mathematical Models in Computer Vision. Springer, pp. 147-160, 2005.

N. M.  Frew, Bock, E. J., Schimpf, U., Hara, T., Haußecker, H., Edson, J. B., McGilles, W. R., Nelson, R. K., McKenna, S. P., Uz, B. M., and Jähne, B., ?Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films?, J. Geophys. Res., vol. 109, p. C08S17, 2004.

B. H.  Menze, Wormit, M., Bachert, P., Lichy, M. P., Schlemmer, H. - P., and Hamprecht, F. A., ?Classification of in vivo magnetic resonance spectra?, in Classification in ubiquitous challenge: Proceedings of the GfKl 2004, 2004, pp. 362-369.

A.  Criminisi, Shotton, J., Blake, A., and Torr, P., ?Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing?, 2004.

C.  Rother, Kolmogorov, V., and Blake, A., ?"GrabCut" - Interactive foreground extraction using iterated graph cuts?, in ACM Transactions on Graphics, 2004, vol. 23, pp. 309?314.

G.  Balschbach, ?HD-WHOI Measurements October 2004 CISG?, Institute for Environmental Physics, University of Heidelberg, 2004.

A.  Bruhn, Jakob, T., Fischer, M., Weickert, J., Brüning, U., and Schnörr, C., ?High performance cluster computing with 3-D nonlinear diffusion filters?, Real-Time Imaging, vol. 10, pp. 41?51, 2004.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing?, in Computer Vision ? ECCV 2004, 2004, vol. 3024, pp. 205-216.

M.  Wenig, Kuhl, S., Beirle, S., Bucsela, E., Jähne, B., Platt, U., Gleason, J., and Wagner, T., ?Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment?, J. Geophys. Res., vol. 109, p. D04315, 1--11, 2004.

M. C.  Scholes, Matrai, P. A., Andreae, M. O., Smith, K. A., Manning, M. R., Artaxo, P., Barrie, L. A., Bates, T. S., Butler, J. H., Ciccioli, P., Cieslik, S. A., Delmas, R. J., and Dentener, F. J., ?Biosphere-Atmosphere Interactions?, Atmospheric Chemistry in a Changing World, An Integration and Synthesis of a Decade of Tropospheric Chemistry Research. Springer, p. 19--71, 2003.

B.  Ommer and Buhmann, J. M., ?A Compositionality Architecture for Perceptual Feature Grouping?, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, vol. 2683, p. 275--290.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Parallel Variational Optical Flow Computation?, in Pattern Recognition, Proc. 25th DAGM Symposium, 2003, vol. 2781, pp. 196?203.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Variational Optical Flow Computation?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 07/2003, 2003.

M.  Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., ?Intercontinental transport of nitrogen oxide pollution plumes?, Atmos. Chem. Phys., vol. 3, p. 387--393, 2003.

A.  Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., ?Real-Time Optic Flow Computation with Variational Methods?, in Proc. Computer Analysis of Images and Patterns (CAIP'03), 2003, vol. 2756, pp. 222-229.

A.  Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., ?Variational Optic Flow Computation in Real-Time?, Dept. Math. and Comp. Science, Saarland University, Germany, 89, 2003.

A.  Bruhn, Weickert, J., and Schnörr, C., ?Combining the Advantages of Local and Global Optic Flow Methods?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 454?462.

A.  Bruhn, Jakob, T., Fischer, M., Kohlberger, T., Weickert, J., Brüning, U., and Schnörr, C., ?Designing 3?D Nonlinear Diffusion Filters for High Performance Cluster Computing?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 290?297.

M.  Beurer, ?Entwicklung von Algorithmen zur Analyse interferometrischer Aufnahmen?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2002.

H.  Spies and Barron, J. L., ?Estimating expansion rates from range data sequences?, in 15th International Conference on Vision Interface, 2002, pp. 339 - 346.

H.  Spies and Barron, J. L., ?Evaluating the range flow motion constraint.?, in ICPR, 2002, p. 517--.

B.  Jähne, Brocke, M., Eisele, H., Hader, S., Hamprecht, F. A., Happold, W., Raisch, F., and Restle, J., ?Für Anspruchsvolle - Multidimensionale Bildverarbeitung in der Produktion?, Qualität und Zuverlässigkeit, vol. 47, pp. 1154-1159, 2002.

M.  Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., ?Intercontinental transport of nitrogen oxide pollution plumes?, acpd, vol. 3, p. 2151--2165, 2002.

B.  Jähne, Brocke, M., Eisele, H., Hader, S., Hamprecht, F. A., Happold, W., Raisch, F., and Restle, J., ?Multidimensionale Bildverarbeitung in der Produktion?, QZ, vol. 47, p. 1154--1159, 2002.

E. J.  Bock, Edson, J. B., Frew, N. M., Hara, T., Haußecker, H., Jähne, B., McGilles, W. R., McKenna, S. P., Nelson, R. K., Schimpf, U., and Uz, B. M., ?Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 39--44.

H.  Spies, Jähne, B., and Barron, J. L., ?Range flow estimation.?, Computer Vision and Image Understanding, vol. 85, p. 209--231, 2002.

M.  Brocke, ?Statistical Image Sequence Processing for Temporal Change Detection?, in Proceedings of the 24th DAGM Symposium on Pattern Recognition, 2002, vol. LNCS 2449, p. 215--223.

M.  Brocke, ?Statistische Ereignisdetektion in Bildfolgen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2002.

T.  Hara, Uz, B. M., Wei, H., Edson, J. B., Frew, N. M., McGilles, W. R., McKenna, S. P., Bock, E. J., Haußecker, H., and Schimpf, U., ?Surface wave observations during CoOP experiments and their relations to air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 45--49.

B.  Jähne, Balschbach, G., and Fuß, D., ?Wellenbewegte Wasseroberfläche?, Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann, p. 259--262, 2002.

J. L.  Barron and Spies, H., ?The fusion of image and range flow?, Multi-Image Search and Analysis. Springer, p. 174--192, 2001.

N. E.  Huang, Toba, Y., Shen, Z., Klinke, J., Jähne, B., and Banner, M. L., ?Ocean wave spectra and integral properties?, Wind Stress over the Ocean. Cambridge University Press, p. 82--123, 2001.

H.  Spies, Jähne, B., and Barron, J. L., ?Surface expansion from range data sequences?, in Proceedings of the 23th DAGM Symposium on Pattern Recognition, 2001, p. 163--169.

M.  Wulf, Stiehl, H. S., and Schnörr, C., ?On the computational rôle of the primate retina?, in Proc. 2nd ICSC Symposium on Neural Computation (NC 2000), Berlin, Germany, 2000.

H.  Spies, Jähne, B., and Barron, J. L., ?Dense range flow from depth and intensity data?, in ICPR, 2000, p. 131--134.

H. Peter Bäumler, ?Entwicklung eines Scheimpflug-Stereo-Systems zur Strömungsvisualisierung in Grenzschichten?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.

H.  Scharr, Jähne, B., Böckle, S., Kazenwadel, J., Kunzelmann, T., Schulz, C., and Krüger, N., ?Flame front analysis in turbulent combustion?, in Mustererkennung 2000, 2000, p. 325--332.

D.  Cremers, Schnörr, C., Weickert, J., and Schellewald, C., ?Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes?, in 3rd Workshop on Dynamic Perception, Berlin, Germany, 2000, vol. 9, pp. 117?122.

J. L.  Barron, Liptay, A., and Spies, H., ?Optical and range flow to measure 3D plant growth and motion?, in Image Vision Computing New Zealand, 2000, p. 68--77.

J. L.  Barron and Spies, H., ?Quantitative regularized range flow?, in Vision Interface, 2000, p. 203--210.

H.  Spies, Jähne, B., and Barron, J. L., ?Regularised range flow?, in European Conference on Computer Vision (ECCV), 2000, vol. 2, p. 785--799.

G.  Balschbach, ?Untersuchungen statistischer und geometrischer Eigenschaften von Windwellen und ihrer Wechselwirkung mit der wasserseitigen Grenzschicht?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.

H.  Spies, Beringer, O., Gröning, H., Haußecker, H., Jähne, B., Haußecker, H., and Geißler, P., ?Analyzing particle movements at soil interfaces?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 699-718, 1999.

H.  Spies, Haußecker, H., Jähne, B., and Barron, J. L., ?Differential range flow estimation?, in Proceedings of the 21th DAGM Symposium on Pattern Recognition, 1999, p. 309--316.

H. - J.  Köhler, Spies, H., Beringer, O., and Haußecker, H., ?Fluidisation and deformation of submerged soil due to fluctuating water level?, in XII Europ. Conference on Soil Mechanics and Geotechnical Engineering, 1999, p. 1109--1115.

B.  Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., ?The Heidelberg Aelotron --- a new facility for laboratory investigations of small-scale air-sea interaction?, in The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

B.  Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., ?The Heidelberg Aeolotron - a new facility for laboratory investigations of small scale air-sea interaction?, in Poster presented at: The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

A. H. M.  Blom, Brassel, J. - O., von Brocke, M., and Mittler, M., ?Quality classification and process control of micro-spot laser welding?, in Proceedings of the Ninth International FAIM Conference - Flexible Automation and Intelligent Manufacturing, Tilburg, 1999, p. 929--941.

J.  Weickert and Schnörr, C., ?Räumlich?zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabhängigen Glattheitstermen?, in Mustererkennung 1999, 1999, pp. 317?324.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography?, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

M.  Brocke, ?Bildverarbeitung für Mikrolaserschweißen unter Verwendung der Houghtransformation?, Universität Heidelberg, 1998.

O.  Beringer, ?Ein Messsystem zur Untersuchung von Sedimentverlagerungen und Durchmischungsprozessen mittels digitaler Bildfolgenanalyse?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

G.  Balschbach, Klinke, J., and Jähne, B., ?Multichannel shape from shading techniques for moving specular surfaces?, in ECCV 1998, 1998, vol. 1407, p. 170--184.

M.  Bühl and Hamprecht, F. A., ?Theoretical Investigation of NMR Chemical Shifts and Reactivities of Oxovanadium (V) Compounds?, Journal of Computational Chemistry, vol. 19, pp. 113-122, 1998.

M.  Bentele, ?Zeitliche Rekonstruktion und Visualisierung dynamischer Prozesse?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

O. J.  Borchers, ?Bestimmung von Grösse und Geschwindigkeit der dispersen Phase in Gas-Flüssig-Strömungen mittels digitaler Bildverarbeitung?, University of Heidelberg, 1997.

G.  Balschbach, Klinke, J., and Jähne, B., ?Multichannel shape from shading techniques for reconstruction of specular surfaces?, in Tagungsband Herbsttagung des Graduiertenkollegs "3D Bildanalyse und -synthese", 1997.

P. S.  Liss, Watson, A. J., Bock, E. J., Jähne, B., Asher, W. E., Frew, N. M., Hasse, L., Korenowski, G. M., Merlivat, L., Phillips, L. F., Schlüssel, P., and Woolf, D. K., ?Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases?, The Sea Surface and Global Change. Cambridge University Press, p. 1--33, 1997.

M.  Beyer, ?Skalenraumanalyse nichtlinearer Wasseroberflächenwellen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1997.

F.  Hering, Balschbach, G., Jähne, B., and Waldhäusl, P., ?A novel system for the combined measurement of wave- and flow-fields beneath wind induced water waves?, in Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing, 1996, vol. 31, p. 231--236.

B.  Jähne, Haußecker, H., Hering, F., Balschbach, G., Klinke, J., Lell, M., Schmund, D., Schultz, M., Schurr, U., Stitt, M., and Platt, U., ?The role of active vision in exploring growth, transport, and exchange processes?, in Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996, 1996, vol. 4, p. 194--202.

R.  Beranek, ?Vermessung von Blickpunkten durch automatische Bildanalyse für ergonomische Fragestellungen bei der Fahrzeugkonstruktion?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

E. J.  Bock, Edson, J. B., Frew, N. M., Karachintsev, A., McGilles, W. R., Nelson, R. K., Hansen, K., Jähne, B., Hara, T., Uz, B. M., Jähne, B., Dieter, J., Klinke, J., and Haußecker, H., ?Description of the science plan for the April 1995 CoOP experiment, `gas transfer in coastal waters', performed from the research vessel New Horizon?, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 801--810.

F.  Hering, Balschbach, G., Menzel, M., Wierzimok, D., and Jähne, B., ?Flow- and wave-fields associated with micro-scale wave breaking as measured simultaneously by particle tracking and wave slope visualization?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 385.

T.  Netzsch and Jähne, B., ?A high-performance system for 3-dimensional particle tracking velocimetry in turbulent flow research using image sequences?, in Proc. ISPRS Intercommission workshop From Pixels to Sequences, Zürich, March 22-24, 1995, vol. 30 Part 5W1, p. 202--207.

B.  Jähne and Geißler, P., ?An imaging optical technique for bubble measurements?, in Proc. Sea Surface Sound '94, 1995, p. 290--296.

H.  Suhr, Wehnert, G., Schneider, K., Bittner, C., Scholz, T., Geißler, P., Jähne, B., and Scheper, T., ?In-situ microscopy for on-line characterization of cell-populations in bioreactors, including concentration measurements by depth from focus?, Biotechnology and Bioengineering, vol. 47, p. 106--116, 1995.

H.  Haußecker, Beyer, M., and Jähne, B., ?Interaction of short wind waves and turbulent shear flow as revealed by simultaneous wave slope and surface turbulence visualization?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 387.

R.  Bremeyer, ?Lokale Orientierung zur Auswertung von Streakbildern?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 1995.

J.  Dieter, Hering, F., Bremeyer, R., Jähne, B., and Jähne, B., ?Measurements of velocity profiles in the aqueous boundary layer at a wind-driven water surface?, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 145--152.

H.  Braess, ?Messungen der Krümmungsverteilung von Wasseroberflächenwellen mittels digitaler Bildverarbeitung?, Universität Heidelberg, 1995.

G.  Balschbach, Menzel, M., and Jähne, B., ?A new instrument to measure steep wind-waves?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 387.

P.  Geißler and Jähne, B., ?One-image depth-from-focus for concentration measurements?, in Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens., 1995, vol. XXX-5W1, p. 122--127.

F.  Hering, Merle, M., Wierzimok, D., and Jähne, B., ?A robust technique for tracking particles over long image sequences?, in Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens., 1995, vol. XXX-5W1, p. 74--79.

N. M.  Frew, Bock, E. J., McGilles, W. R., Karachintsev, A., Hara, T., Münsterer, T., Jähne, B., and Jähne, B., ?Variation of air--water gas transfer with wind stress and surface viscoelasticity?, in Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air-Water Gas Transfer, 1995, p. 529--541.

C.  Schnörr, ?Bewegungssegmentation von Bildfolgen durch die Minimierung konvexer nicht-quadratischer Funktionale?, in Mustererkennung 1994, 1994, vol. 5, pp. 178?185.

R.  Sprengel, Schnörr, C., and Neumann, B., ?Detection of Visual Data Transitions in Nonlinear Parameter Space?, in Mustererkennung 1994, 1994, vol. 5, pp. 315?323.

J.  Dieter, Bremeyer, R., and Hering, F., ?Flow measurements close to the free air/sea interface?, in Proceedings of the 7th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994, 1994, vol. II, p. 22.2.1--6.

M.  Beyer, Jähne, B., and Melville, W. K., ?Laboratory studies of long-wave/short-wave interaction using wavelet analysis of space-time images?, in Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994, 1994.

G.  Balschbach, ?Verschiedene Verfahren zur Visualisierung und Größenbestimmung von Gasblasen in Wasser?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1994.

M.  Beyer, ?Untersuchung der Relaxationszeiten von winderzeugten Wasseroberflächenwellen durch periodische Variation der Windgeschwindigkeit?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

F.  Brunswig, ?Strukturanalyse von Gletschereis und Baumringen mittels Digitaler Bildanalyse?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1992.

D.  Wierzimok, Hering, F., and Brunswig, F., ?Tracking in Strömungsbildfolgen?, in Proc. 14. DAGM-Symposium Mustererkennung, 1992.

R.  Bracht, ?Entwicklung eines videometrischen Meßverfahrens zur Erfassung von Strömungen an der Wasseroberfläche?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1991.

D.  Bister, Rohr, K., and Schnörr, C., ?Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Grauwertbildfolge?, in Mustererkennung 1990, 12. DAGM-Symposium, Oberkochen-Aalen, 1990, vol. 254, pp. 44?51.

B.  Jähne, Libner, P., Fischer, R., Billen, T., and Plate, E. J., ?Investigating the transfer process across the free aqueous boundary layer by the controlled flux method?, Tellus, vol. 41B, p. 177--195, 1989.

C.  Schnörr, ?Zur Schätzung von Geschwindigkeitsvektorfeldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung?, in Mustererkennung 1989, 11. DAGM-Symposium, Hamburg, 1989, vol. 219, pp. 294?301.

T.  Billen, ?Entwicklung einer LDA-Miniatursonde zur Messung der Strömungsgeschwindigkeit und ihrer Fluktuationen in Wasser?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1988.

B.  Jähne, Münnich, K. O., Bösinger, R., Dutzi, A., Huber, W. A., and Libner, P., ?On the parameters influencing air-water gas exchange?, J. Geophys. Res., vol. 92, p. 1937--1950, 1987.

W. S.  Broecker, Ledwell, J. R., Takahashi, T., Weiss, R., Merlivat, L., Memery, L., Jähne, B., and Münnich, K. O., ?Isotopic versus micrometeorologic ocean CO$_2$ fluxes: A serious conflict?, J. Geophys. Res., vol. 91, p. 10517--10528, 1986.

R.  Bösinger, ?Messungen zur Schmidtzahlabhängigkeit des Gasaustausches?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1986.

M.  Barabas, ?Aufbau und Weiterentwicklung von optischen Verfahren zur Messung von Gasblasen in Wasser; Messungen von Blasendichtespektren in Wind/Wasser-Kanälen in Marseille und Heidelberg?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1985.

B.  Jähne, Wais, T., and Barabas, M., ?A new optical bubble measuring device; a simple model for bubble contribution to gas exchange?, in Gas transfer at water surfaces, 1984, p. 237--246.

B.  Jähne, Fischer, K. H., Ilmberger, J., Libner, P., Weiss, W., Imboden, D., Lemnin, U., and Jaquet, J. M., ?Parameterization of air/lake gas exchange?, in Gas transfer at water surfaces, 1984, p. 469--476.

B.  Jähne, Huber, W. A., Dutzi, A., Wais, T., and Ilmberger, J., ?Wind/wave-tunnel experiments on the Schmidt number and wave field dependence of air-water gas exchange?, in Gas transfer at water surfaces, 1984, p. 303--309.

K.  Bönisch, ?Gasaustausch und Wärmetransfer bei freier Konvektion und unter Einfluss von Wellen: Aufbau einer Apparatur und erste Ergebnisse?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1981.

J.  Tschiersch and Jähne, B., ?Gas exchange trough a rough water surface in a circular windtunnel; wave characteristics under limited and unlimited fetch?, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 63--70, 1980.

B.  Jähne and Siegenthaler, U., ?The influence of surface tension on gas exchange: measurements of gas exchange with alcohol/water mixtures in a circular wind-water tunnel?, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 103--108, 1980.

B.  Jähne and Münnich, K. O., ?Momentum induced gas exchange through a smooth water surface, models and experimental results from linear and circular wind-water tunnels?, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 55--62, 1980.