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 Milbich, T, Roth, K and Ommer, B (2020). PADS: Policy-Adapted Sampling for Visual Similarity Learning. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1. https://arxiv.org/abs/2003.11113\par \par  Haller, S, Prakash, M, Hutschenreiter, L, Pietzsch, T, Rother, C, Jug, F, Swoboda, P and Savchynskyy, B (2020). A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS 2020\par \par  Bailoni, A, Pape, C, Wolf, S, Kreshuk, A and Hamprecht, F A (2020). Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks. GCPR. Springer. 12544 331-344\par \par  Snajder, R (2019). Pipeline F\'fcr Die Automatisierte Objektsegmentierung Von 3D Lightshet Mikroskopiebildern. Heidelberg University\par \par  E Sanmartin, F, Damrich, S and Hamprecht, F A (2019). Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning. Advances in Neural Information Processing Systems\par \par  Krull, A, Brachmann, E, Nowozin, S, Michel, F, Shotton, J and Rother, C (2017). PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017-Janua 2566?2574. http://arxiv.org/abs/1612.03779\par \par  Hehn, T (2017). A Probabilistic Approach To Learn Complex Differentiable Split Functions In Decision Trees Using Gradient Ascent. Heidelberg University\par \par  Bodnariuc, E, Petra, S, Poelma, C and Schn\'f6rr, C (2016). Parametric Dictionary-Based Velocimetry for Echo PIV. Proc. CGPR\par \par  Swoboda, P, Shekhovtsov, A, Kappes, J Hendrik, Schn\'f6rr, C and Savchynskyy, B (2016). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE Computer Society. 38 1370?1382\par \par  Swoboda, P, Shekhovtsov, A, Kappes, J H, Schn\'f6rr, C and Savchynskyy, B (2016). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Patt. Anal. Mach. Intell. 38 1370?1382\par \par  Bodnariuc, E, Schiffner, M F, Petra, S and Schn\'f6rr, C (2016). Plane Wave Acoustic Superposition for Fast Ultrasound Imaging. International Ultrasonics Symposium\par \par  Mitra, N J, Stam, J, Xu, K, Cheng, M - M, Prisacariu, V Adrian, Zheng, S, Torr, P H S and Rother, C (2015). Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut. 34. http://mftp.mmcheng.net/Papers/DenseCut.pdf\par \par  Mund, J, Zouhar, A, Meyer, L, Fricke, H and Rother, C (2015). Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons. Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems. 85?94\par \par  Mund, J, Zouhar, A, Meyer, L, Fricke, H and Rother, C (2015). Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons. Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems. 85?94\par \par  Antic, B and Ommer, B (2015). Per-Sample Kernel Adaptation for Visual Recognition and Grouping. Proceedings of the IEEE International Conference on Computer Vision. IEEE\par \par  Michel, F, Krull, A, Brachmann, E, Yang, M Ying, Gumhold, S and Rother, C (2015). Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. 181.1?181.11\par \par  Kappes, J H, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2015). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc.~SSVM. Springer\par \par  Kappes, J Hendrik, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2015). Probabilistic correlation clustering and image partitioning using perturbed Multicuts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9087 231?242\par \par  Kappes, J, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2015). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc. SSVM. Springer\par \par  Rathke, F (2015). Probabilistic Graphical Models for Medical Image Segmentation. University Heidelberg\par \par  Schiegg, M, Heuer, B, Haubold, C, Wolf, S, K\'f6the, U and Hamprecht, F A (2015). Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models. ISBI. Proceedings. 394-398\par \par  Yarkony, J, Beier, T, Baldi, P and Hamprecht, F A (2014). Parallel Multicut Segmentation via Dual Decomposition. 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. http://dx.doi.org/10.1007/978-3-319-17876-9_4\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General GraphicalModels. CVPR. Proceedings. 1170-1177\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014\par \par  Denitiu, A, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73--102\par \par  Denitiu, A, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73?102\par \par  Besse, F, Rother, C, Fitzgibbon, A and Kautz, J (2014). PMBP: PatchMatch Belief Propagation for correspondence field estimation. International Journal of Computer Vision. Kluwer Academic Publishers. 110 2?13\par \par  Besse, F, Rother, C, Fitzgibbon, A and Kautz, J (2014). PMBP: PatchMatch Belief Propagation for correspondence field estimation. International Journal of Computer Vision. 110 2?13\par \par  Besse, F, Rother, C, Fitzgibbon, A and Kautz, J (2014). PMBP: PatchMatch Belief Propagation for correspondence field estimation. International Journal of Computer Vision. 110 2?13\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Med. Image Anal. 18 781?794\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Medical Image Analysis. 18 781-794\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Medical Image Analysis. 18 781-794\par \par  Distributions, L (2014). Proof of Lemma 2 Proof of Lemma 3 Proof of Theorem 4 Proof of Lemma 10. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics. 9?11\par \par  Garbe, C S and Ommer, B (2013). Parameter Estimation in Image Processing and Computer Vision. Model Based Parameter Estimation: Theory and Applications. Springer. 311--334\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM. 477-488\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Persistency by Pruning for General Graphical Models. submitted to NIPS 2013\par \par  Geese, M, Ruhnau, P and J\'e4hne, B (2013). PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics. tm --- Technisches Messen. 80 321--328\par \par  Kr\'e4uter, C, Richter, K E, Mesarchaki, E, Rocholz, R, Williams, J and J\'e4hne, B (2012). Partitioning of the Trasfer Resistance between Air and Water. SOLAS Open Science Conference, Washington State, USA\par \par  Kondermann, D, Abraham, S, F\'f6rstner, W, Gehrig, S, Imiya, A, J\'e4hne, B, Klose, F, Magor, M, Mayer, H, Mester, R, Pajdla, T, Reulke, R and Zimmer, H (2012). On Performance Analysis of Optical Flow Algorithms. Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop2011. Springer. LNCS 329-355\par \par  J\'e4hne,  (2012). Plenoptic image acquisition and processing. Proc.\\ Int. Symp. Microoptical Imaging and Projection (MIPS2012). 87--89\par \par  Garbe, C S, Voss, B and Stapf, J (2012). Plenoptic Particle Streak Velocimetry (pPSV): 3D3C fluid flow measurement from light fields with a single plenoptic camera. 16th International Symposium on Applications of Laser Techniques to Fluid Mechanics. Instituto Superior T\'e9cnico. 1-12\par \par  Monroy, A, Kr\'f6ger, T, Arnold, M and Ommer, B (2011). Parametric Object Detection for Iconographic Analysis. Scientific Computing & Cultural Heritage. http://www.academia.edu/9439693/Parametric_Object_Detection_for_Iconographic_Analysis\par \par  Bleyer, M, Rhemann, C and Rother, C (2011). PatchMatch Stereo - Stereo Matching with Slanted Support Windows. 14.1?14.11\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. ICCV, Proceedings. 2611 - 2618\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCV\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCV\par \par  Pletscher, P, Nowozin, S, Kohli, P and Rother, C (2011). Putting MAP back on the map. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6835 LNCS 111?121\par \par  Pletscher, P, Nowozin, S, Kohli, P and Rother, C (2011). Putting MAP back on the map. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6835 LNCS 111?121\par \par  Vlasenko, A and Schn\'f6rr, C (2010). Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans.~Image Proc. 19 586-595\par \par  Vlasenko, A and Schn\'f6rr, C (2010). Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans. Image Proc. 19 586-595\par \par  Chellappa, R and Machinery., Afor Comput (2010). Proceedings - 7th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2010. ACM International Conference Proceeding Series. ACM\par \par  Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009). A perceptually motivated online benchmark for image matting. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. 2009 IEEE 1826?1833. www.alphamatting.com.\par \par  Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009). A perceptually motivated online benchmark for image matting. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. 2009 IEEE 1826?1833. www.alphamatting.com.\par \par  Rhemann, C, Rother, C, Wang, J, Gelautz, M, Kohli, P and Rott, P (2009). A perceptually motivated online benchmark for image matting. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. 2009 IEEE 1826?1833\par \par  Schmidt, M and J\'e4hne, B (2009). A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 1--15\par \par  Meine, H, K\'f6the, U and Stelldinger, P (2009). Pixel Approximation Errors in Common Watershed Algorithms. Discrete Geometry for Computer Imagery. Springer. 5810 193-202\par \par  Meine, H, K\'f6the, U and Stelldinger, P (2009). Pixel Approximation Errors in Common Watershed Algorithms. Discrete Geometry for Computer Imagery. Springer. 5810 193-202\par \par  Kondermann, C (2009). Postprocessing and Restoration of Optical Flows. IWR, Fakult\'e4t f\'fcr Mathematik und Informatik, Univ.\\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9681\par \par  Kondermann, C (2009). Postprocessing and Restoration of Optical Flows. IWR, Fakult\'e4t f\'fcr Mathematik und Informatik, Univ. Heidelberg\par \par  G\'f6rlitz, L, Menze, B H, Kelm, B Michael and Hamprecht, F A (2009). Processing Spectral Data. Surface and Interface Analysis. 41 636-644\par \par  Kohli, P, Shekhovtsov, A, Rother, C, Kolmogorov, V and Torr, P (2008). On partial optimality in multi-label MRFs. Proceedings of the 25th International Conference on Machine Learning. 480?487\par \par  Sauer, P (2008). Pattern Recognition On Statistically Textured Surfaces. University of Heidelberg\par \par  Boppel, S (2008). Peak Identification For Liquid Chromatography And Mass Spectrometry. University of Heidelberg\par \par  Munder, S, Schn\'f6rr, C and Gavrila, D M (2008). Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Trans. Intell. Transp. Systems. 9 333-343\par \par  Vlasenko, A and Schn\'f6rr, C (2008). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 406--415\par \par  Vlasenko, A and Schn\'f6rr, C (2008). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. 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Proceedings of the ACM SIGGRAPH Conference on Computer Graphics. http://graphics.cs.cmu.edu/projects/photoclipart/\par \par  Trittler, S (2007). Processing of Interferometric Data. University of Heidelberg\par \par  Kolmogorov, V, Criminisi, A, Blake, A, Cross, G and Rother, C (2006). Probabilistic fusion of stereo with color and contrast for bilayer segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28 1480?1492. http://research.microsoft.com/vision/cambridge\par \par  Humbert, S (2005). Partikel-Verfolgung Beim Laserschwei\\Dfen Mit Dem Kalman-Filter. University of Heidelberg\par \par  Weber, S, Sch\'fcle, T and Schn\'f6rr, C (2005). Prior Learning and Convex-Concave Regularization of Binary Tomography. Electr. Notes in Discr. Math. 20 313-327\par \par  Schellewald, C and Schn\'f6rr, C (2005). Probabilistic Subgraph Matching Based on Convex Relaxation. Proc. Int. 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Math. and Comp. Science, University of Mannheim, Germany\par \par  Hau\'dfecker, H, Schimpf, U, Garbe, C S and J\'e4hne, B (2002). Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer. Gas Transfer at Water Surfaces. American Geophysical Union. 127 103--108\par \par  Rother, C, Carlsson, S and Tell, D (2002). Projective factorization of planes and cameras in multiple views. Proceedings - International Conference on Pattern Recognition. 16 737?740\par \par  Hamprecht, F A, Jost, D, R\'fcttimann, M, Calamai, F and Kowalski, J J (2001). Preliminary results on the prediction of countershock success with fibrillation power. Resuscitation. 50 297-299\par \par  Engelmann, D, St\'f6hr, M, Garbe, C S, Hering, F and J\'e4hne, B (2000). Particle-tracking velocimetry. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 646-647\par \par  Weickert, J and Schn\'f6rr, C (2000). PDE?Based Preprocessing of Medical Images. K\'fcnstliche Intelligenz. 3 5?10\par \par  J\'e4hne, B and Hau\'dfecker, H (2000). Performance characteristics of low-level motion estimation in spatiotemporal images. Performance Characterization in Computer Vision. Kluwer, Dordrecht. pp. 139-152\par \par  Peckar, W, Schn\'f6rr, C, Rohr, K and Stiehl, H ?S (1999). Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements. J. Math. Imaging and Vision. 10 143?162\par \par  Engelmann, D, St\'f6hr, M, Garbe, C S, Hering, F, J\'e4hne, B, Hau\'dfecker, H and Gei\'dfler, P (1999). Particle-tracking velocimetry. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 663-697\par \par  Schmund, D, Schurr, U, J\'e4hne, B, Hau\'dfecker, H and Gei\'dfler, P (1999). Plant-leaf growth studied by image sequence analysis. Handbook of Computer Vision and Applications. 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