Publications

Swoboda, P and Schnörr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321--334

Technical Report (8.06 MB)

Schnörr, (1999). Variational Methods for Adaptive Image Smoothing and Segmentation. Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition. Academic Press, San Diego. 2 451–484

Savarino, F and Schnörr, C (2019). A Variational Perspective on the Assignment Flow. Proc. SSVM. Springer

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

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

Technical Report (4.9 MB)

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

Goldlücke, B and Wanner, S (2013). The Variational Structure of Disparity and Regularization of 4D Light Fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Esser, P, Sutter, E and Ommer, B (2018). A Variational U-Net for Conditional Appearance and Shape Generation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral). https://compvis.github.io/vunet/

Raisch, F, Scharr, H, Kirchgeßner, N, Jähne, B, Fink, R H A and Uttenweiler, D (2002). Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences. Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing. 645--650

Jähne, (2004). Vergeichende Analyse moderner Bildsensoren für die optische Messtechnik. Sensoren und Messsysteme 2004. 1829 317--324

Antic, B and Ommer, B (2011). Video Parsing for Abnormality Detection. Proceedings of the IEEE International Conference on Computer Vision. IEEE. 2415--2422

Technical Report (990.21 KB)

Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1993). The VIERS scatterometer algorithm. Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. University of Miami. 749--754

Janssen, J A M, Calkoen, C J, van Halsema, D, Jähne, B, Janssen, P A E M, Oost, W A, Snoeij, P, Vogelzang, J and Wallbrink, H (1996). The VIERS scatterometer algorithm. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 749--754

van Halsema, D, de Loor, P and Jähne, B (1988). VIERS-1: A Programme of Wind Scatterometry. Geoscience and Remote Sensing Symposium, Proc.\ IGARSS'88. 1 572

Gosch, C, Fundana, K, Heyden, A and Schnörr, C (2008). View Point Tracking of Rigid Object Based on Shape Sub-Manifolds. Computer Vision -- ECCV 2008. Springer. 5302 251--263

Technical Report (523.17 KB)

Gosch, C, Fundana, K, Heyden, A and Schnörr, C (2008). View Point Tracking of Rigid Object Based on Shape Sub-Manifolds. Computer Vision – ECCV 2008. Springer. 5302 251–263

Menze, B H, Muehl, S and Sherratt, A G (2007). Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing. Broadening Horizons: Multidisciplinary Approaches to Landscape Study. Cambridge Scholars Publishing. 5-29

Technical Report (1.2 MB)

Mansfield, A, Gehler, P, Van Gool, L and Rother, C (2012). Visibility maps for improving seam carving. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6554 LNCS 131–144. http://www.adobe.com/products/photoshop/photoshopextended/features/

Jähne, (1995). Vision for waves. IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves. 391

Eigenstetter, A and Ommer, B (2012). Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity. Proceedings of the Conference on Advances in Neural Information Processing Systems. MIT Press. 377--385

Technical Report (3.27 MB)

Falkenroth, A, Herzog, A G and Jähne, B (2006). Visualization of air-water gas exchange using novel fluorescent dyes. 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006

Jähne, (2013). Von optischer 3D-Messtechnik zu lichtfeldbasierter Bildakquisition und -verarbeitung. Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013. Wichmann. 1--8. http://www.ub.uni-heidelberg.de/archiv/17698

Yarlagadda, P, Monroy, A and Ommer, B (2010). Voting by Grouping Dependent Parts. Proceedings of the European Conference on Computer Vision. Springer. 6315 197--210

Technical Report (2.99 MB)

Kiefhaber, D, Schaper, J, Rocholz, R, Zappa, C J, Asher, W E, Jessup, A T and Jähne, B (2012). Water Surface Topography Measurements with the Reflective Stereo Slope Gauge. AGU Ocean Science Meeting 2012, Salt Lake City

Klinke, J and Jähne, B (1996). Wave number spectra of short wind waves: implications from laboratory studies. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 367--372

Klinke, J, Kudryavtsev, V N, Makin, V K and Jähne, B (2001). Wavenumber Spectra of Short Wind Waves: Laboratory Measurements and Interpretation. IGARSS '01, Geoscience and Remote Sensing Symposium, Sydney, NSW, Australia. 2 965-967

Schmitzer, B and Schnörr, C (2012). Weakly Convex Coupling Continuous Cuts and Shape Priors. Scale Space and Variational Methods (SSVM 2011). 423-434

Nguyen, M Hoai, Torresani, L, De La Torre, F and Rother, C (2009). Weakly supervised discriminative localization and classification: A joint learning process. Proceedings of the IEEE International Conference on Computer Vision. 1925–1932

Ufer, N, Lui, K To, Schwarz, K, Warkentin, P and Ommer, B (2019). Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation. German Conference on Pattern Recognition (GCPR)

article (6.1 MB)

Straehle, C N, Köthe, U and Hamprecht, F A (2013). Weakly supervised learning of image partitioning using decision trees with structured split criteria. ICCV 2013. Proceedings. 1849-1856

Technical Report (5.97 MB)

Meister, S, Izadi, S, Kohli, P, Hämmerle, M, Rother, C and Kondermann, D (2012). When Can We Use KinectFusion for Ground Truth Acquisition?. Workshop on Color-Depth Camera Fusion in Robotics, IEEE International Conference on Intelligent Robots and Systems

Esparza, J, Helmle, M and Jähne, B (2014). Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance. Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014. Springer. 8753 342--353

Liefermann, A, Ramamonjiarisoa, A and Jähne, B (1985). Wind tunnel investigation of the characterization of radar backscattering by different wave fields. Third International Colloquium Spectral Signatures of Objects in Remote Sensing. 1 137--140. http://adsabs.harvard.edu/abs/1985ssor.proc.137L

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

Pages