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Publications

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2021
M. Haußmann, “Bayesian Neural Networks for Probabilistic Machine Learning”. Heidelberg University, 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.
2020
S. T. Radev, Mertens, U. K., Voss, A., Ardizzone, L., and Köthe, U., “BayesFlow: Learning complex stochastic models with invertible neural networks”, 2020.PDF icon PDF (5.36 MB)
M. Haußmann, Gerwinn, S., and Kandemir, M., “Bayesian Evidential Deep Learning with PAC Regularization ”, 3rd Symposium on Advances in Approximate Bayesian Inference . 2020.
C. Kamann and Rother, C., “Benchmarking the Robustness of Semantic Segmentation Models”, in CVPR 2020, 2020.PDF icon PDF (3.61 MB)
2019
M. Haußmann, Gerwinn, S., and Kandemir, M., “Bayesian Prior Networks with PAC Training”, arXiv preprint arXiv:1906.00816, 2019.
J. Kruse, Ardizzone, L., Rother, C., and Köthe, U., “Benchmarking Invertible Architectures on Inverse Problems”, i, 2019.
C. Kamann and Rother, C., “Benchmarking the Robustness of Semantic Segmentation Models”, 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.
2018
T. Hodaň, 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.
2017
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.
L. Flothow, “Bubble Characteristics from Breaking Waves in Fresh Water and Simulated Seawater”, Institut für Umweltphysik, Universität Heidelberg, Germany, 2017.
2015
P. Yarlagadda and Ommer, B., “Beyond the Sum of Parts: Voting with Groups of Dependent Entities”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, p. 1134--1147, 2015.
2013
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.PDF icon Technical Report (1.15 MB)
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, pp. 110-124.
2012
A. Monroy and Ommer, B., “Beyond Bounding-Boxes: Learning Object Shape by Model-driven Grouping”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 7574. Springer, p. 582--595, 2012.PDF icon Technical Report (1.58 MB)
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.
J. Fehr and Jähne, B., “Bilder berechnen - nicht nur aufnehmen”, Optik & Photonik, vol. 7, pp. 50-53, 2012.
J. Fehr and Jähne, B., “Bilder berechnen --- nicht nur aufnehmen : ``Computational Photography'' wird zunehmend interessant für die industrielle Bildverarbeitung”, Optik & Photonik, vol. 7, p. 50--53, 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.
J. H. Kappes, Savchynskyy, B., and Schnörr, C., “A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation”, in CVPR, 2012.PDF icon Technical Report (430.63 KB)
J. H. Kappes, Savchynskyy, B., and Schnörr, C., “A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation”, in CVPR. Proceedings, 2012, pp. 1688-1695.
2011
T. Weißbach, “Bestimmung der Transfergeschwindigkeit bei blaseninduziertem Gasaustausch”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
A. Monroy, Eigenstetter, A., and Ommer, B., “Beyond Straight Lines - Object Detection using Curvature”, in International Conference on Image Processing (ICIP), 2011.PDF icon Technical Report (2.65 MB)
H. Heck, “Bildverarbeitendes Verfahren zur Detektion und Vermessung von Luftblasen an der Wasseroberfläche eines Blasentanks”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
X. Lou, “Biomedical Data Analysis with Prior Knowledge: Modeling and Learning”. University of Heidelberg, 2011.
B. Jähne, “Bringing the ocean inside the lab, image processing in environmental sciences”. 2011.
2010
J. Stapf, “Bestimmung der dynamischen Oberflächenspannung mit Hilfe der Blasendruckmethode”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2010.
T. Hörnlein, “Boosted Feature Generation for Classification Problems Involving High Numbers of Inputs and Classes”, vol. Dissertation. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2010.
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.
L. Nagel, “Bestimmung der Temperaturdifferenz über die viskose Grenzschicht mit Hilfe des Oberflächenerneuerungsmodells”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2009.
K. Hansen, Rathke, F., Schroeter, T., Rast, G., Fox, T., Kriegl, J. M., and Mika, S., “Bias-correction of regression models: a case study on hERG inhibition”, J. Chem. Inf. Model., vol. 49, no. 6, pp. 1486–1496, 2009.
N. Ozlu, Monigatti, F., Renard, B. Y., Field, C. M., Steen, H., Mitchison, T. J., and Steen, J. J., “Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition”, Molecular & Cellular Proteomics, 2009.
T. Hörnlein, Jähne, B., and Süße, H., “Boosting shift-invariant features”, in Pattern Recognition, 2009, vol. 5748, p. 121--130.

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