Damrich, S (2022). Discovering Structure without Labels. Heidelberg University

 Ruiz, A (2021). Deep K-Segments: A Generalization Of K-Means. Heidelberg University

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

 Vijayan, A, Tofanelli, R, Strauss, S, Cerrone, L, Wolny, A, Strohmeier, J, Kreshuk, A, Hamprecht, F A, Smith, R S and Schneitz, K (2021). A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule. eLife

 Fita, E, Damrich, S and Hamprecht, F A (2021). Directed Probabilistic Watershed. NeurIPS. Proceedings. 34

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 Dencker, T, Klinkisch, P, Maul, S M and Ommer, B (2020). Deep learning of cuneiform sign detection with weak supervision using transliteration alignment. PLoS ONE. 15. https://hci.iwr.uni-heidelberg.de/compvis/projects/cuneiform

 Bollweg, S, Haußmann, M, Kasieczka, G, Luchmann, M, Plehn, T and Thompson, J (2020). Deep-Learning Jets with Uncertainties and More. SciPost Phys. 8. https://scipost.org/10.21468/SciPostPhys.8.1.006

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

 Sorrenson, P, Rother, C and Köthe, U (2020). Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). Intl. Conf. Learning Representations (ICLR). http://arxiv.org/abs/2001.04872

 Esser, P, Rombach, R and Ommer, B (2020). A Disentangling Invertible Interpretation Network for Explaining Latent Representations. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://compvis.github.io/iin/

 Milbich, T, Roth, K, Bharadhwaj, H, Sinha, S, Bengio, Y, Ommer, B and Cohen, J Paul (2020). DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. IEEE European Conference on Computer Vision (ECCV). https://arxiv.org/abs/2004.13458

 Lu, G -hung, Tsai, W -ting and Jähne, B (2019). Decomposing infrared images of wind waves for quantitative separation into characteristic flow processes. IEEE Transactions on Geoscience and Remote Sensing. 57 8304?8316

 Haußmann, M, Hamprecht, F A and Kandemir, M (2019). Deep Active Learning with Adaptive Acquisition. IJCAI. Proceedings. 2470-2476

 Li, W, Hosseini Jafari, O and Rother, C (2019). Deep Object Co-segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11363 LNCS 638?653

 Papst, M (2019). Development Of A Method For Quantitative Imaging Of Air-Water Gas Exchange. Institut für Umweltphysik, Universität Heidelberg, Germany

 Savchynskyy, B (2019). Discrete Graphical Models ? An Optimization Perspective. Foundations and Trends® in Computer Graphics and Vision. Now Publishers. 11 160?429

 Sanakoyeu, A, Tschernezki, V, Büchler, U and Ommer, B (2019). Divide and Conquer the Embedding Space for Metric Learning.  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://github.com/CompVis/metric-learning-divide-and-conquer

 Cerrone, L (2018). Deep End-To-End Learning Of A Diffusion Process For Seeded Image Segmentation. Heidelberg University

 Sanakoyeu, A, Bautista, M and Ommer, B (2018). Deep Unsupervised Learning of Visual Similarities. Pattern Recognition. 78. https://authors.elsevier.com/a/1WXUt77nKSb25 

 Weilbach, C (2018). Dictionary Learning With Bayesian Gans For Few-Shot Classification. Heidelberg University

 Ufer, N and Ommer, B (2017). Deep Semantic Feature Matching. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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

 Schilling, H, Diebold, M, Gutsche, M and Jähne, B (2017). On the design of a fractal calibration pattern for improved camera calibration. tm - Technisches Messen. 84 440?451

 Ramos, S, Gehrig, S, Pinggera, P, Franke, U and Rother, C (2017). Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling. IEEE Intelligent Vehicles Symposium, Proceedings. 1025?1032. http://arxiv.org/abs/1612.06573

 Haubold, C, Uhlmann, V, Unser, M and Hamprecht, F A (2017). Diverse M-best Solutions by Dynamic Programming. GCPR. Proceedings. Springer. LNCS 10496 255-267

 Uhlmann, V, Haubold, C, Hamprecht, F A and Unser, M (2017). Diverse Shortest Paths for Bioimage Analysis. Bioinformatics. 1-3

 Brachmann, E, Krull, A, Nowozin, S, Shotton, J, Michel, F, Gumhold, S and Rother, C (2017). DSAC - Differentiable RANSAC for camera localization. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017-Janua 2492?2500. http://arxiv.org/abs/1611.05705

 Honauer, K, Johannsen, O, Kondermann, D and Goldlücke, B (2016). A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields. Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III. Springer, Cham

 Schmidt, P (2016). Deep Learning For Bioimage Analysis. University of Heidelberg

 Balles, L (2016). Deep Learning For Diabetic Retinopathy Diagnostics. University of Heidelberg

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

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

 Zisler, M, Petra, S, Schnörr, C and Schnörr, C (2016). Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints. Proc. GCPR

 Aström, F and Schnörr, C (2016). Double-Opponent Vectorial Total Variation. Proc. ECCV

 Swoboda, P, Kuske, J and Savchynskyy, B (2016). A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. arXiv, preprint. https://arxiv.org/pdf/1612.05460.pdf

 Kandemir, M and Hamprecht, F A (2015). The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors. NIPS. Proceedings. 44 145-159

 Zheng, S, Cheng, M Ming, Warrell, J, Sturgess, P, Vineet, V, Rother, C and Torr, P H S (2014). Dense semantic image segmentation with objects and attributes. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3214?3221. http://www.robots.ox.ac.uk/?tvg/http://tu-dresden.de/inf/cvld

 Decker, C and Hamprecht, F A (2014). Detecting individual body parts improves mouse behavior classification. Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings

 Eyjolfsdottir, E, Branson, S, Burgos-Artizzu, X P, Hoopfer, E D, Schor, J, Anderson, D J and Perona, P (2014). Detection of social actions in fruit flies. Lecture Notes in Computer Science. Springer International Publishing, Cham. 8690 772?787. http://link.springer.com/10.1007/978-3-319-10605-2 http://www.ncbi.nlm.nih.gov/pubmed/31629782

 Kandemir, M, Feuchtinger, A, Walch, A and Hamprecht, F A (2014). Digital Pathology: Multiple instance learning can detect Barrett'scancer. ISBI. Proceedings. 1348-1351

 Wanner, S, Meister, S and Goldlücke, B (2013). Datasets and Benchmarks for Densely Sampled 4D Light Fields. Vision, Modeling & Visualization. 225--226

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

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

 Schäfer, H, Lenzen, F and Garbe, C S (2013). Depth and Intensity Based Edge Detection in Time-of-Flight Images. 3D Imaging, Modeling, Processing, Visualization and Transmission(3DIMPVT), 2013 International Conference on. IEEE. 111-118

 Schäfer, H, Lenzen, F and Garbe, C S (2013). Depth and Intensity Based Edge Detection in Time-of-Flight Images. 3DV-Conference, 2013 International Conference on. 111-118

 Horná?ek, M, Rhemann, C, Gelautz, M and Rother, C (2013). Depth super resolution by rigid body self-similarity in 3D. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1123?1130

 Jähne,  (2013). Der Standard EMVA 1288 zur Charakterisierung von Kameras und Bildsensoren: von 2D- zu 3D-Kameras. Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013. Wichmann. 388--399. http://www.ub.uni-heidelberg.de/archiv/17699

 Bauer, P Salomon (2013). Development Of An Imaging Polarimeter For Water Wave Slope Measurements. Institut für Umwelphysik, Univeristät Heidelberg, Germany. http://www.ub.uni-heidelberg.de/archiv/15899

 Lellmann, J, Lellmann, B, Widmann, F and Schnörr, C (2013). Discrete and Continuous Models for Partitioning Problems. Int.~J.~Comp.~Visionz. 104 241-269

 Schmidt, U, Rother, C, Nowozin, S, Jancsary, J and Roth, S (2013). Discriminative Non-Blind Deblurring

 Jähne,  (2012). Digitale Bildverarbeitung Und Bildgewinnung. Springer Vieweg. http://www.springer.com/engineering/signals/book/978-3-642-04951-4

 Kausler, B X, Schiegg, M, Andres, B, Lindner, M, Köthe, U, Leitte, H, Wittbrodt, J, Hufnagel, L and Hamprecht, F A (2012). A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. ECCV 2012. Proceedings. 7574 144-157

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

 Lou, X, Kaster, F O, Lindner, M, Kausler, B X, Köthe, U, Höckendorf, B, Wittbrodt, J, Jänicke, H and Hamprecht, F A (2011). DELTR: Digital Embryo Lineage Tree Reconstructor. Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings. 1557-1560

 Lenzen, F, Schäfer, H and Garbe, C S (2011). Denoising Time-Of-Flight Data with Adaptive Total Variation. Proceedings ISVC. Springer. 337-346

 Jähne,  (2011). Der Ozean im Labor, Bildverarbeitung in den Umweltwissenschaften. www.laborundmore.de/

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 Schlecht, J, Carque, B and Ommer, B (2011). Detecting Gestures in Medieval Images. Proceedings of the International Conference on Image Processing. IEEE. 1309--1312

 Lou, X, Kirchner, M, Renard, B Y, Köthe, U, Graf, C, Lee, C, Steen, J A J, Steen, H, Mayer, M P and Hamprecht, F A (2010). Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments. Bioinformatics. 26(12) 1535-1541

 Kiefhaber, D (2010). Development Of A Reflective Stereo Slope Gauge For The Measurement Of Ocean Surface Wave Slope Statistics. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/12673/

 Frank, M, Plaue, M and Hamprecht, F A (2009). Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures. Optical Engineering. 48, 077003

 Becker, F and Schnörr, C (2008). Decomposition of Quadratric Variational Problems. Pattern Recognition -- 30th DAGM Symposium. 5096 325--334

 Becker, F and Schnörr, C (2008). Decomposition of Quadratric Variational Problems. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 325--334

 Steen, J A J, Steen, H, Georgi, A, Parker, K C, Springer, M, Kirchner, M, Hamprecht, F A and Kirschner, M W (2008). Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis. Proceedings of the National Academy of Sciences. 105 6069-6074

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

 Jähne,  (2007). Data acquisition by imaging detectors. Handbook of Experimental Fluid Mechanics. Springer. 1419--1436

 Jähne, B, Klar, M and Jehle, M (2007). Data analysis. Handbook of Experimental Fluid Mechanics. Springer. 1437--1491

 Yuan, J, Schnörr, C and Mémin, E (2007). Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J.~Math.~Imag.~Vision. 28 67-80

 Sellen, A, Fogg, A, Aitken, M, Hodges, S, Rother, C and Wood, K (2007). Do life-logging technologies support memory for the past? An experimental study using sensecam. Conference on Human Factors in Computing Systems - Proceedings. 81?90

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

 Hader, S (2006). Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung. University of Heidelberg

 Menze, B H, Ur, J A and Sherratt, A G (2006). Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model. Photgrammetric Engineering & Remote Sensing. 3 321-327

 Jehle, M, Jähne, B and Kertzscher, U (2006). Direct estimation of the wall shear rate using parametric motion models in 3D. Proceedings of the 28th DAGM Symposium on Pattern Recognition. 4174 434--443

 Lerch, K (2006). Discontinuity Preserving Filtering Of Spectral Images. University of Heidelberg

 Stahl, A, Ruhnau, P and Schnörr, C (2006). A Distributed Parameter Approach to Dynamic Image Motion. ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision. LNCS, Springer

 Kraus, S (2006). DOASIS a framework design for DOAS. Technische Informatik, Univ.\ Mannheim

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 Görlitz, L, Hamprecht, F A and Staudacher, M (2005). Detektion von Partikeln in Intensitätsbildern mit Hilfe eines morphologischen Skalenraumes. Robert-Bosch GmbH, University of Heidelberg

 Schwarz, T S (2005). Development Of A Depth Resolving Boundary Layer Visualiziation Für Gas Exchange At Free Water Surfaces. University of Heidelberg

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 Jähne,  (2005). Digitale Bildverarbeitung, 6th ed. Springer

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

 Yuan, J, Ruhnau, P, Mémin, E and Schnörr, C (2005). Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005. Springer. 3459 267?278

 Schüle, T, Schnörr, C, Weber, S and Hornegger, J (2005). Discrete Tomography By Convex-Concave Regularization and D.C. Programming. Discr. Appl. Math. 151 229-243

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

 Hilsenstein, V (2004). Design and Implementation of a Passive Stereo-Infrared Imaging System for the Surface Reconstruction of Water Waves. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/4601

 Senet, C M (2004). Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences. Universität Hamburg, FB Informatik

 Schüle, T, Schnörr, C, Weber, S and Hornegger, J (2003). Discrete Tomography By Convex-Concave Regularization And D.c. Programming. Dept. Math. and Comp. Science, University of Mannheim, Germany

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 Kohlberger, T, Schnörr, C, Bruhn, A and Weickert, J (2003). Domain Decomposition For Variational Optical Flow Computation. Dept. Math. and Comp. Science, University of Mannheim, Germany

 Spies, H and Garbe, C S (2002). Dense parameter fields from total least squares. Proceedings of the 24th DAGM Symposium on Pattern Recognition. Springer. LNCS 2449 379--386

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

 Cremers, D, Tischhäuser, F, Weickert, J and Schnörr, C (2002). Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford?Shah functional. Int. J. Computer Vision. 50 295?313

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

 Spies, H, Kirchgeßner, N, Scharr, H and Jähne, B (2000). Dense structure estimation via regularised optical flow. VMV 2000. Aka GmbH, Berlin. 57--64

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 Geißler, P, Scholz, T, Jähne, B, Haußecker, H and Geißler, P (1999). Depth-from-focus for the measurement of size distributions of small particles. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 623-646

 Schmund, D (1999). Development of an Optical Flow Based System for the Precise Measurement of Plant Growth. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

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

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 Köhler, H - J, Haußecker, H and Jähne, B (1996). Detection of particle movements at soil interfaces due to changing hydraulic load conditions, localised by a digital image processing technique. Proc. Geofilters 1996, Montreal. Ecole Polytechnique Montreal

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 van Vliet, P, Hering, F, Jähne, B and Jähne, B (1995). Delft Hydraulics Large Wind-Wave Flume. Air-Water Gas Transfer---Selected Papers from the Third International Symposium of Air--Water Gas Transfer in Heidelberg. AEON. 499--502

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 Bock, E J, 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 (1995). Description of the science plan for the April 1995 CoOP experiment, `gas transfer in coastal waters', performed from the research vessel New Horizon. Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer. AEON. 801--810

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 van Halsema, D, Calkoen, C J, Oost, W A, Snoeij, P, Vogelzang, J and Jähne, B (1991). Dual-polarized scatterometer measurements of wind and mechanically generated waves in a very large wind/wave flume, the VIERS-1 project. Proc.\ 5th Int. Coll. Physical Measurements and Signatures in Remote Sensing, Courchevel, France. ESA SP-319 247--252

 Snoeij, P, Calkoen, C J, Oost, W A, van Halsema, D, Vogelzang, J and Jähne, B (1990). Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank. Proc. IGARSS'90. 2157--2160

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