Publications

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

Technical Report (8.06 MB)

C. Schnörr, “Variational Methods for Adaptive Image Smoothing and Segmentation”, in Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition, San Diego, 1999, vol. 2, pp. 451–484.

F. Savarino and Schnörr, C., “A Variational Perspective on the Assignment Flow”, in Proc. SSVM, 2019.

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.

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.

Technical Report (4.9 MB)

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.

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

P. Esser, Sutter, E., and Ommer, B., “A Variational U-Net for Conditional Appearance and Shape Generation”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral), 2018.

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

B. Jähne, “Vergeichende Analyse moderner Bildsensoren für die optische Messtechnik”, in Sensoren und Messsysteme 2004, 2004, vol. 1829, p. 317--324.

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

Technical Report (990.21 KB)

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

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

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

C. Gosch, Fundana, K., Heyden, A., and Schnörr, C., “View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in Computer Vision -- ECCV 2008, 2008, vol. 5302, p. 251--263.

Technical Report (523.17 KB)

C. Gosch, Fundana, K., Heyden, A., and Schnörr, C., “View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in Computer Vision – ECCV 2008, 2008, vol. 5302, pp. 251–263.

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

Technical Report (1.2 MB)

A. Mansfield, Gehler, P., Van Gool, L., and Rother, C., “Visibility maps for improving seam carving”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 6554 LNCS, pp. 131–144.

B. Jähne, “Vision for waves”, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 391.

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

Technical Report (3.27 MB)

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

B. Jähne, “Von optischer 3D-Messtechnik zu lichtfeldbasierter Bildakquisition und -verarbeitung”, in Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013, 2013, p. 1--8.

P. Yarlagadda, Monroy, A., and Ommer, B., “Voting by Grouping Dependent Parts”, in Proceedings of the European Conference on Computer Vision, 2010, vol. 6315, p. 197--210.

Technical Report (2.99 MB)

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

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

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

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

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

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

article (6.1 MB)

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

Technical Report (5.97 MB)

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

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

A. Liefermann, Ramamonjiarisoa, A., and Jähne, B., “Wind tunnel investigation of the characterization of radar backscattering by different wave fields”, in Third International Colloquium Spectral Signatures of Objects in Remote Sensing, 1985, vol. 1, p. 137--140.

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.

Pages