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C. Rother, Kumar, S., Kolmogorov, V., and Blake, A., “Digital tapestry [automatic image synthesis]”, in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, vol. 1, pp. 589–596.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46”, Computing, 2007.
C. Rother, “A new approach to vanishing point detection in architectural environments”, in Image and Vision Computing, 2002, vol. 20, pp. 647–655.
C. Rother and Carlsson, S., “Linear multi view reconstruction and camera recovery using a reference plane”, International Journal of Computer Vision, vol. 49, pp. 117–141, 2002.
C. Rother and Carlsson, S., “Linear multi view reconstruction with missing data”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002, vol. 2351, pp. 209–324.
C. Rother, “Linear Multi-View Reconstruction for Translating Cameras”, Nada.Kth.Se, 2003.
C. Rother, Carlsson, S., and Tell, D., “Projective factorization of planes and cameras in multiple views”, in Proceedings - International Conference on Pattern Recognition, 2002, vol. 16, pp. 737–740.
C. Rother, Kolmogorov, V., Minka, T., and Blake, A., “Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, vol. 1, pp. 994–1000.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing binary MRFs via extended roof duality”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
C. Rother and Carlsson, S., “Linear multi view reconstruction and camera recovery”, in Proceedings of the IEEE International Conference on Computer Vision, 2001, vol. 1, pp. 42–49.
C. Rother, “Linear multi-view reconstruction of points, lines, planes and cameras using a reference plane”, in Proceedings of the IEEE International Conference on Computer Vision, 2003, vol. 2, pp. 1210–1217.
C. Rother, “Sparse Higher Order Functions of Discrete Variables–-Representation and Optimization”, research.microsoft.com, vol. 45, 2011.
C. Rother, Kohli, P., Feng, W., and Jia, J., “Minimizing sparse higher order energy functions of discrete variables”, 2010, pp. 1382–1389.
C. Rother, “Multi-View Reconstruction and Camera Recovery using a Real or Virtual Reference Plane”. 2003.
C. Rother, Kolmogorov, V., and Blake, A., “"GrabCut" - Interactive foreground extraction using iterated graph cuts”, in ACM Transactions on Graphics, 2004, vol. 23, pp. 309–314.
C. Rother and Kolmogorov, V., “Interactive foreground extraction using graph cut”, Advances in Markov \ldots, pp. 1–20, 2011.
K. Roth, Milbich, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. Paul, “Revisiting Training Strategies and Generalization Performance in Deep Metric Learning”, International Conference on Machine Learning (ICML). 2020.
N. Roth, “Visualization of Near-Surface Flow Patterns for Air-Water Gas Transfer”, Institut für Umweltphysik, Universität Heidelberg, Germany, 2018.
K. Roth, Milbich, T., Ommer, B., Cohen, J. Paul, and Ghassemi, M., “S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning”, Proceedings of International Conference on Machine Learning (ICML). 2021.
V. Roth and Ommer, B., “Exploiting Low-level Image Segmentation for Object Recognition”, in Pattern Recognition, Symposium of the DAGM, 2006, vol. 4174, p. 11--20.PDF icon Technical Report (473.84 KB)
T. Rosenbaum, “Thermografische Messung der Temperatur metallischer Oberflächen”. Technische Universität Dresden, 2006.
T. Rosenbaum, Jähne, B., and Gerlach, G., “Thermographical measurement of temperatures on metallic surfaces”, in Sensor+Test 2006 Proceedings (OPTO 2006, IRS2 2006), Nürnberg, 30 May - 1 June 2006, AMA Fachverband für Sensorik, 2006, p. 327--330.
R. Rombach, Esser, P., and Ommer, B., “Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs”, IEEE European Conference on Computer Vision (ECCV). 2020.
R. Rombach, Esser, P., and Ommer, B., “Geometry-Free View Synthesis: Transformers and no 3D Priors”, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2021.
R. Rombach, Esser, P., and Ommer, B., “Network-to-Network Translation with Conditional Invertible Neural Networks”, Neural Information Processing Systems (NeurIPS) (Oral). 2020.
R. Rombach, Esser, P., and Ommer, B., “Network Fusion for Content Creation with Conditional INNs”, in CVPRW 2020 (AI for Content Creation), 2020.
K. Rohr and Schnörr, C., “An Efficient Approach to the Identification of Characteristic Intensity Variations”, vol. 11, pp. 273–277, 1993.
K. Roetmann, Garbe, C. S., and Beushausen, V., “2D-Molecular Tagging Velocimetry zur Analyse Mikrofluidischer Strömungen”, in Tagungsband Lasermethoden in der Strömungsmesstechnik (GALA), 2005, p. 26/1--26/10.
K. Roetmann, Garbe, C. S., Schmunk, W., and Beushausen, V., “Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering”, in Proc.\ of 12th International Symposium on Flow Visualization, 2006.
K. Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., “Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering”, Exp. Fluids, vol. 44, p. 419--430, 2008.
K. Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., “Analyse Mikrofluidischer Strömungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung”, in Tagungsband Lasermethoden in der Strömungsmesstechnik, 2006.
J. Röder, “Active Learning: New Approaches, and Industrial Applications”. University of Heidelberg, 2013.
J. Röder, Kunzmann, K., Nadler, B., and Hamprecht, F. A., “Active Learning with Distributional Estimates”, UAI 2012. Proceedings, pp. 715-725, 2012.PDF icon Technical Report (267.67 KB)
J. Röder, Tolosana-Delgado, R., and Hamprecht, F. A., “Gaussian process classification: singly versus doubly stochastic models, and new computational schemes”, Stochastic Environmental Research & Risk Assessment, vol. 25 (7), pp. 865-879, 2011.PDF icon Technical Report (672.68 KB)
R. Rocholz, “Kalibrierung der Color Imaging Slope Gauge & Auswertung der Wellenmessungen”, Institut für Umweltphysik, Universität Heidelberg, 2007.

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