Publications

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 1963 results:

] Title Type Year

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

R

Rocholz, R, Fahle, P and Jähne, B (2012). High speed and high resolution wave imaging to investigate the initial generation of wind waves at very small fetch. http://hci.iwr.uni-heidelberg.de/publications/dip/MISC/WISE_2012_rrocholz/2012_WISE_rrocholz_noVideos.pdf

Rocholz, R and Jähne, B (2010). Spatio-temporal measurements of short wind water waves. EGU General Assembly 2010, Symposium AS2.2. EGU2010-5509

Rocholz, R and Jähne, B (2006). Imaging System for combined slope/height measurements of short wind waves : ISHG. Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006. Deutsche Physikalische Gesellschaft. http://www.dpg-verhandlungen.de/2006/heidelberg/up.html

Rocholz, R, Wanner, S, Schimpf, U and Jähne, B (2011). Combined visualization of wind waves and water surface temperature. Gas Transfer at Water Surfaces 2010. 496--506. http://hdl.handle.net/2433/156156

Röder, (2013). Active Learning: New Approaches, and Industrial Applications. University of Heidelberg

Röder, J, Kunzmann, K, Nadler, B and Hamprecht, F A (2012). Active Learning with Distributional Estimates. UAI 2012. Proceedings. 715-725

Technical Report (267.67 KB)

Röder, J, Tolosana-Delgado, R and Hamprecht, F A (2011). Gaussian process classification: singly versus doubly stochastic models, and new computational schemes. Stochastic Environmental Research & Risk Assessment. 25 (7) 865-879

Technical Report (672.68 KB)

Roetmann, K, Garbe, C S and Beushausen, V (2005). 2D-Molecular Tagging Velocimetry zur Analyse Mikrofluidischer Strömungen. Tagungsband Lasermethoden in der Strömungsmesstechnik (GALA). 26/1--26/10

Roetmann, K, Garbe, C S, Schmunk, W and Beushausen, V (2006). Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering. Proc.\ of 12th International Symposium on Flow Visualization

Roetmann, K, Schmunk, W, Garbe, C S and Beushausen, V (2008). Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering. Exp. Fluids. 44 419--430

Roetmann, K, Schmunk, W, Garbe, C S and Beushausen, V (2006). Analyse Mikrofluidischer Strömungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung. Tagungsband Lasermethoden in der Strömungsmesstechnik

Rohr, K and Schnörr, C (1993). An Efficient Approach to the Identification of Characteristic Intensity Variations. 11 273–277

Rombach, R, Esser, P and Ommer, B (2020). Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. IEEE European Conference on Computer Vision (ECCV). https://compvis.github.io/invariances/

Rombach, R, Esser, P and Ommer, B (2020). Network Fusion for Content Creation with Conditional INNs. CVPRW 2020 (AI for Content Creation). https://compvis.github.io/network-fusion/

Rombach, R, Esser, P and Ommer, B (2021). Geometry-Free View Synthesis: Transformers and no 3D Priors. Proceedings of the Intl. Conf. on Computer Vision (ICCV). https://arxiv.org/abs/2104.07652

Rombach, R, Esser, P and Ommer, B (2020). Network-to-Network Translation with Conditional Invertible Neural Networks. Neural Information Processing Systems (NeurIPS) (Oral). https://compvis.github.io/net2net/

Rosenbaum, T (2006). Thermografische Messung der Temperatur metallischer Oberflächen. Technische Universität Dresden

Rosenbaum, T, Jähne, B and Gerlach, G (2006). Thermographical measurement of temperatures on metallic surfaces. Sensor+Test 2006 Proceedings (OPTO 2006, IRS2 2006), Nürnberg, 30 May - 1 June 2006, AMA Fachverband für Sensorik. 327--330

Roth, K, Milbich, T, Sinha, S, Gupta, P, Ommer, B and Cohen, J Paul (2020). Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. International Conference on Machine Learning (ICML). https://arxiv.org/pdf/2002.08473.pdf

Roth, K, Milbich, T, Ommer, B, Cohen, J Paul and Ghassemi, M (2021). S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Proceedings of International Conference on Machine Learning (ICML). https://arxiv.org/abs/2009.08348

Roth, V and Ommer, B (2006). Exploiting Low-level Image Segmentation for Object Recognition. Pattern Recognition, Symposium of the DAGM. Springer. 4174 11--20

Technical Report (473.84 KB)

Roth, N (2018). Visualization Of Near-Surface Flow Patterns For Air-Water Gas Transfer. Institut für Umweltphysik, Universität Heidelberg, Germany

Rother, C, Kumar, S, Kolmogorov, V and Blake, A (2005). Digital tapestry [automatic image synthesis]. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. 1 589–596. http://research.microsoft.com/ http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1467321%5Cnhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1467321

Rother, C, Kolmogorov, V, Lempitsky, V and Szummer, M (2007). Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46. Computing. http://research.microsoft.com/vision/cambridge/

Rother, C (2002). A new approach to vanishing point detection in architectural environments. Image and Vision Computing. 20 647–655

Rother, C and Carlsson, S (2002). Linear multi view reconstruction and camera recovery using a reference plane. International Journal of Computer Vision. 49 117–141

Rother, C and Carlsson, S (2002). Linear multi view reconstruction with missing data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2351 209–324

Rother, C (2003). Linear Multi-View Reconstruction for Translating Cameras. Nada.Kth.Se. http://www.nada.kth.se/ carstenr/papers/paper_ssab03.pdf

Rother, C, Carlsson, S and Tell, D (2002). Projective factorization of planes and cameras in multiple views. Proceedings - International Conference on Pattern Recognition. 16 737–740

Rother, C, Kolmogorov, V, Minka, T and Blake, A (2006). Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1 994–1000. http://research.microsoft.com/vision/cambridge/

Rother, C, Kolmogorov, V, Lempitsky, V and Szummer, M (2007). Optimizing binary MRFs via extended roof duality. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Rother, C and Carlsson, S (2001). Linear multi view reconstruction and camera recovery. Proceedings of the IEEE International Conference on Computer Vision. 1 42–49

Rother, C (2003). Linear multi-view reconstruction of points, lines, planes and cameras using a reference plane. Proceedings of the IEEE International Conference on Computer Vision. 2 1210–1217. http://www.nada.kth.se/carstenr

Rother, C (2011). Sparse Higher Order Functions of Discrete Variables–-Representation and Optimization. research.microsoft.com. 45. http://research.microsoft.com/pubs/147370/RotherKohli-SparseHigherOrder.pdf

Rother, C, Kohli, P, Feng, W and Jia, J (2010). Minimizing sparse higher order energy functions of discrete variables. 1382–1389

Pages