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ORCIDStefan Roth 0001
Person information
- affiliation: TU Darmstadt, Department of Computer Science, Germany
- affiliation: Brown University, Dept. of Computer Science, Providence, RI, USA
- affiliation: University of Mannheim, Dept. of Mathematics and Computer Science, Germany
Other persons with the same name
- Stefan Roth 0002 — Linkoping Institute of Technology, Sweden
- Stefan Roth 0003 — Ruhr University of Bochum, Institute of Neuroinformatics, Germany
- Stefan Roth 0004
![[0000-0003-4408-3306]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4408-3306")
— Ruhr University of Bochum, Institute of Digital Communication Systems, Germany - Stefan Roth 0005 — LMU Munich, University Hospital, Institute for Stroke and Dementia Research, Germany
- Stefan Roth 0006 — Fraunhofer Institute for Casting, Composite and Processing Technology IGCV, Augsburg, Germany
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Books and Theses
- 2007
[b1]Stefan Roth:
High-Order Markov Random Fields for Low-Level Vision. Brown University, USA, 2007
Journal Articles
- 2022
- [j18]Jiangxin Dong, Stefan Roth, Bernt Schiele:
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9960-9976 (2022) - 2021
- [j17]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. 129(4): 845-881 (2021) - 2017
- [j16]Tobias Plötz, Stefan Roth:
Automatic Registration of Images to Untextured Geometry Using Average Shading Gradients. Int. J. Comput. Vis. 125(1-3): 65-81 (2017) - [j15]Marius Cordts, Timo Rehfeld, Lukas Schneider, David Pfeiffer, Markus Enzweiler, Stefan Roth, Marc Pollefeys, Uwe Franke:
The Stixel World: A medium-level representation of traffic scenes. Image Vis. Comput. 68: 40-52 (2017) - [j14]Marius Cordts, Timo Rehfeld, Markus Enzweiler, Uwe Franke, Stefan Roth:
Tree-Structured Models for Efficient Multi-Cue Scene Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1444-1454 (2017) - 2016
- [j13]Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin, Stefan Roth, Carsten Rother:
Cascades of Regression Tree Fields for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 677-689 (2016) - [j12]Anton Milan, Konrad Schindler, Stefan Roth:
Multi-Target Tracking by Discrete-Continuous Energy Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2054-2068 (2016) - 2015
- [j11]Stephan R. Richter, Stefan Roth:
A discriminative approach to perspective shape from shading in uncalibrated illumination. Comput. Graph. 53: 72-81 (2015) - [j10]Christoph Vogel, Konrad Schindler, Stefan Roth:
3D Scene Flow Estimation with a Piecewise Rigid Scene Model. Int. J. Comput. Vis. 115(1): 1-28 (2015) - 2014
- [j9]Deqing Sun, Stefan Roth, Michael J. Black:
A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them. Int. J. Comput. Vis. 106(2): 115-137 (2014) - [j8]Anton Milan, Stefan Roth, Konrad Schindler:
Continuous Energy Minimization for Multitarget Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 58-72 (2014) - 2013
- [j7]Christian Wojek, Stefan Walk, Stefan Roth, Konrad Schindler, Bernt Schiele:
Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 882-897 (2013) - 2012
- [j6]Mykhaylo Andriluka, Stefan Roth, Bernt Schiele:
Discriminative Appearance Models for Pictorial Structures. Int. J. Comput. Vis. 99(3): 259-280 (2012) - 2011
- [j5]Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski:
A Database and Evaluation Methodology for Optical Flow. Int. J. Comput. Vis. 92(1): 1-31 (2011) - 2010
- [j4]Victor S. Lempitsky, Carsten Rother, Stefan Roth, Andrew Blake:
Fusion Moves for Markov Random Field Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1392-1405 (2010) - 2009
- [j3]Stefan Roth, Michael J. Black:
Fields of Experts. Int. J. Comput. Vis. 82(2): 205-229 (2009) - 2007
- [j2]Stefan Roth, Michael J. Black:
On the Spatial Statistics of Optical Flow. Int. J. Comput. Vis. 74(1): 33-50 (2007) - [j1]Christian Schellewald, Stefan Roth, Christoph Schnörr:
Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vis. Comput. 25(8): 1301-1314 (2007)
Conference and Workshop Papers
- 2023
- [c109]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Content-Adaptive Downsampling in Convolutional Neural Networks. CVPR Workshops 2023: 4544-4553 - [c108]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. ICCV 2023: 3958-3968 - [c107]Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth:
Vision Relation Transformer for Unbiased Scene Graph Generation. ICCV 2023: 21825-21836 - 2022
- [c106]Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych:
xGQA: Cross-Lingual Visual Question Answering. ACL (Findings) 2022: 2497-2511 - [c105]Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth:
$S^2$-Flow: Joint Semantic and Style Editing of Facial Images. BMVC 2022: 821 - [c104]Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer:
Efficient Feature Extraction for High-resolution Video Frame Interpolation. BMVC 2022: 825 - 2021
- [c103]Junhwa Hur, Stefan Roth:
Self-Supervised Multi-Frame Monocular Scene Flow. CVPR 2021: 2684-2694 - [c102]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. CVPR 2021: 4886-4895 - [c101]Nikita Araslanov, Stefan Roth:
Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation. CVPR 2021: 15384-15394 - [c100]Jannik Schmitt, Stefan Roth:
Sampling-Free Variational Inference for Neural Networks with Multiplicative Activation Noise. GCPR 2021: 33-47 - [c99]Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth:
TxT: Crossmodal End-to-End Learning with Transformers. GCPR 2021: 405-420 - [c98]Franz Klein, Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Grounded Style. GCPR 2021: 421-436 - [c97]Shweta Mahajan, Stefan Roth:
PixelPyramids: Exact Inference Models from Lossless Image Pyramids. ICCV 2021: 6619-6628 - [c96]Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin:
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 50-72 - [c95]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Fast Axiomatic Attribution for Neural Networks. NeurIPS 2021: 19513-19524 - [c94]Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth:
Dense Unsupervised Learning for Video Segmentation. NeurIPS 2021: 25308-25319 - [c93]Faraz Saeedan, Stefan Roth:
Boosting Monocular Depth with Panoptic Segmentation Maps. WACV 2021: 3852-3861 - 2020
- [c92]Nikita Araslanov, Stefan Roth:
Single-Stage Semantic Segmentation From Image Labels. CVPR 2020: 4252-4261 - [c91]Junhwa Hur, Stefan Roth:
Self-Supervised Monocular Scene Flow Estimation. CVPR 2020: 7394-7403 - [c90]Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR 2020: 8412-8421 - [c89]Anne S. Wannenwetsch, Stefan Roth:
Probabilistic Pixel-Adaptive Refinement Networks. CVPR 2020: 11639-11648 - [c88]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. ICLR 2020 - [c87]Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Xing Li, Stefan Roth:
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving. ICRA 2020: 6419-6425 - [c86]Sascha Rosbach, Xing Li, Simon Großjohann, Silviu Homoceanu, Stefan Roth:
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning. IROS 2020: 5187-5193 - [c85]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. NeurIPS 2020 - [c84]Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Context-Object Split Latent Spaces. NeurIPS 2020 - 2019
- [c83]Junhwa Hur, Stefan Roth:
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. CVPR 2019: 5754-5763 - [c82]Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth:
Actor-Critic Instance Segmentation. CVPR 2019: 8237-8246 - [c81]Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth:
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. GCPR 2019: 345-359 - [c80]Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth:
Markov Decision Process for Video Generation. ICCV Workshops 2019: 1523-1532 - [c79]Jochen Gast, Stefan Roth:
Deep Video Deblurring: The Devil is in the Details. ICCV Workshops 2019: 3824-3833 - [c78]Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. ICCV Workshops 2019: 4561-4570 - [c77]Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth:
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving. IROS 2019: 2658-2665 - 2018
- [c76]Simon Meister, Junhwa Hur, Stefan Roth:
UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss. AAAI 2018: 7251-7259 - [c75]Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth:
Stochastic Variational Inference With Gradient Linearization. CVPR 2018: 1566-1575 - [c74]Stephan R. Richter, Stefan Roth:
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. CVPR 2018: 1936-1944 - [c73]Jochen Gast, Stefan Roth:
Lightweight Probabilistic Deep Networks. CVPR 2018: 3369-3378 - [c72]Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth:
Detail-Preserving Pooling in Deep Networks. CVPR 2018: 9108-9116 - [c71]Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth:
Multi-view X-Ray R-CNN. GCPR 2018: 153-168 - [c70]Meiguang Jin, Stefan Roth, Paolo Favaro:
Normalized Blind Deconvolution. ECCV (7) 2018: 694-711 - [c69]Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly Sergieh, Stefan Roth:
Multimodal Frame Identification with Multilingual Evaluation. NAACL-HLT 2018: 1481-1491 - [c68]Tobias Plötz, Stefan Roth:
Neural Nearest Neighbors Networks. NeurIPS 2018: 1095-1106 - [c67]Hatem Mousselly Sergieh, Teresa Botschen, Iryna Gurevych, Stefan Roth:
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning. *SEM@NAACL-HLT 2018: 225-234 - 2017
- [c66]Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Fürnkranz, Kristian Kersting, Stefan Roth, Edwin Simpson:
Interactive Data Analytics for the Humanities. CICLing (1) 2017: 527-549 - [c65]Tobias Plötz, Stefan Roth:
Benchmarking Denoising Algorithms with Real Photographs. CVPR 2017: 2750-2759 - [c64]Meiguang Jin, Stefan Roth, Paolo Favaro:
Noise-Blind Image Deblurring. CVPR 2017: 3834-3842 - [c63]Florian Lang, Tobias Plötz, Stefan Roth:
Robust Multi-image HDR Reconstruction for the Modulo Camera. GCPR 2017: 78-89 - [c62]Junhwa Hur, Stefan Roth:
MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation. ICCV 2017: 312-321 - [c61]Anne S. Wannenwetsch, Margret Keuper, Stefan Roth:
ProbFlow: Joint Optical Flow and Uncertainty Estimation. ICCV 2017: 1182-1191 - 2016
- [c60]Jochen Gast, Anita Sellent, Stefan Roth:
Parametric Object Motion from Blur. CVPR 2016: 1846-1854 - [c59]Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, Bernt Schiele:
The Cityscapes Dataset for Semantic Urban Scene Understanding. CVPR 2016: 3213-3223 - [c58]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. ECCV (2) 2016: 102-118 - [c57]Junhwa Hur, Stefan Roth:
Joint Optical Flow and Temporally Consistent Semantic Segmentation. ECCV Workshops (1) 2016: 163-177 - [c56]Anita Sellent, Carsten Rother, Stefan Roth:
Stereo Video Deblurring. ECCV (2) 2016: 558-575 - [c55]Lukas Schneider, Marius Cordts, Timo Rehfeld, David Pfeiffer, Markus Enzweiler, Uwe Franke, Marc Pollefeys, Stefan Roth:
Semantic Stixels: Depth is not enough. Intelligent Vehicles Symposium 2016: 110-117 - [c54]Tamy Boubekeur, Paolo Cignoni, Elmar Eisemann, Michael Goesele, Reinhard Klein, Stefan Roth, Michael Weinmann, Michael Wimmer:
Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds. GCH 2016: 19-22 - 2015
- [c53]Stephan R. Richter, Stefan Roth:
Discriminative shape from shading in uncalibrated illumination. CVPR 2015: 1128-1136 - [c52]Tobias Plötz, Stefan Roth:
Registering Images to Untextured Geometry Using Average Shading Gradients. ICCV 2015: 2030-2038 - [c51]Kevin Schelten, Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, Stefan Roth:
Interleaved Regression Tree Field Cascades for Blind Image Deconvolution. WACV 2015: 494-501 - 2014
- [c50]Anton Milan, Stefan Roth, Konrad Schindler, Mineichi Kudo:
Privacy Preserving Multi-target Tracking. ACCV Workshops (3) 2014: 519-530 - [c49]Uwe Schmidt, Stefan Roth:
Shrinkage Fields for Effective Image Restoration. CVPR 2014: 2774-2781 - [c48]Marius Cordts, Lukas Schneider, Markus Enzweiler, Uwe Franke, Stefan Roth:
Object-Level Priors for Stixel Generation. GCPR 2014: 172-183 - [c47]Christoph Vogel, Stefan Roth, Konrad Schindler:
View-Consistent 3D Scene Flow Estimation over Multiple Frames. ECCV (4) 2014: 263-278 - [c46]Timo Scharwächter, Markus Enzweiler, Uwe Franke, Stefan Roth:
Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding. ECCV (5) 2014: 533-548 - [c45]Kevin Schelten, Stefan Roth:
Localized Image Blur Removal through Non-parametric Kernel Estimation. ICPR 2014: 702-707 - [c44]Qi Gao, Stefan Roth:
Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms. S+SSPR 2014: 434-443 - 2013
- [c43]Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth:
Discriminative Non-blind Deblurring. CVPR 2013: 604-611 - [c42]Anton Milan, Konrad Schindler, Stefan Roth:
Challenges of Ground Truth Evaluation of Multi-target Tracking. CVPR Workshops 2013: 735-742 - [c41]Anton Milan, Konrad Schindler, Stefan Roth:
Detection- and Trajectory-Level Exclusion in Multiple Object Tracking. CVPR 2013: 3682-3689 - [c40]Christoph Vogel, Stefan Roth, Konrad Schindler:
An Evaluation of Data Costs for Optical Flow. GCPR 2013: 343-353 - [c39]Timo Scharwächter, Markus Enzweiler, Uwe Franke, Stefan Roth:
Efficient Multi-cue Scene Segmentation. GCPR 2013: 435-445 - [c38]Siyu Tang, Mykhaylo Andriluka, Anton Milan, Konrad Schindler, Stefan Roth, Bernt Schiele:
Learning People Detectors for Tracking in Crowded Scenes. ICCV 2013: 1049-1056 - [c37]Christoph Vogel, Konrad Schindler, Stefan Roth:
Piecewise Rigid Scene Flow. ICCV 2013: 1377-1384 - 2012
- [c36]Anton Andriyenko, Konrad Schindler, Stefan Roth:
Discrete-continuous optimization for multi-target tracking. CVPR 2012: 1926-1933 - [c35]Uwe Schmidt, Stefan Roth:
Learning rotation-aware features: From invariant priors to equivariant descriptors. CVPR 2012: 2050-2057 - [c34]Kevin Schelten, Stefan Roth:
Mean Field for Continuous High-Order MRFs. DAGM/OAGM Symposium 2012: 52-61 - [c33]Qi Gao, Stefan Roth:
How Well Do Filter-Based MRFs Model Natural Images? DAGM/OAGM Symposium 2012: 62-72 - [c32]Thorsten Franzel, Uwe Schmidt, Stefan Roth:
Object Detection in Multi-view X-Ray Images. DAGM/OAGM Symposium 2012: 144-154 - [c31]Christoph Dann, Peter V. Gehler, Stefan Roth, Sebastian Nowozin:
Pottics - The Potts Topic Model for Semantic Image Segmentation. DAGM/OAGM Symposium 2012: 397-407 - 2011
- [c30]Christian Wojek, Stefan Walk, Stefan Roth, Bernt Schiele:
Monocular 3D scene understanding with explicit occlusion reasoning. CVPR 2011: 1993-2000 - [c29]Uwe Schmidt, Kevin Schelten, Stefan Roth:
Bayesian deblurring with integrated noise estimation. CVPR 2011: 2625-2632 - [c28]Kevin Schelten, Stefan Roth:
Connecting non-quadratic variational models and MRFs. CVPR 2011: 2641-2648 - [c27]Christoph Vogel, Konrad Schindler, Stefan Roth:
3D scene flow estimation with a rigid motion prior. ICCV 2011: 1291-1298 - [c26]Anton Andriyenko, Stefan Roth, Konrad Schindler:
An analytical formulation of global occlusion reasoning for multi-target tracking. ICCV Workshops 2011: 1839-1846 - 2010
- [c25]Paul Schnitzspan, Stefan Roth, Bernt Schiele:
Automatic discovery of meaningful object parts with latent CRFs. CVPR 2010: 121-128 - [c24]Mykhaylo Andriluka, Stefan Roth, Bernt Schiele:
Monocular 3D pose estimation and tracking by detection. CVPR 2010: 623-630 - [c23]Uwe Schmidt, Qi Gao, Stefan Roth:
A generative perspective on MRFs in low-level vision. CVPR 2010: 1751-1758 - [c22]Deqing Sun, Stefan Roth, Michael J. Black:
Secrets of optical flow estimation and their principles. CVPR 2010: 2432-2439 - [c21]Christian Wojek, Stefan Roth, Konrad Schindler, Bernt Schiele:
Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes. ECCV (4) 2010: 467-481 - [c20]Mykhaylo Andriluka, Paul Schnitzspan, Johannes Meyer, Stefan Kohlbrecher, Karen Petersen, Oskar von Stryk, Stefan Roth, Bernt Schiele:
Vision based victim detection from unmanned aerial vehicles. IROS 2010: 1740-1747 - [c19]Johannes Meyer, Paul Schnitzspan, Stefan Kohlbrecher, Karen Petersen, Mykhaylo Andriluka, Oliver Schwahn, Uwe Klingauf, Stefan Roth, Bernt Schiele, Oskar von Stryk:
A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors. RoboCup 2010: 180-193 - 2009
- [c18]Mykhaylo Andriluka, Stefan Roth, Bernt Schiele:
Pictorial structures revisited: People detection and articulated pose estimation. CVPR 2009: 1014-1021 - [c17]Paul Schnitzspan, Mario Fritz, Stefan Roth, Bernt Schiele:
Discriminative structure learning of hierarchical representations for object detection. CVPR 2009: 2238-2245 - [c16]Michael Adam, Christoph Jung, Stefan Roth, Guido Brunnett:
Real-time Stereo-Image Stitching using GPU-based Belief Propagation. VMV 2009: 215-224 - 2008
- [c15]Mykhaylo Andriluka, Stefan Roth, Bernt Schiele:
People-tracking-by-detection and people-detection-by-tracking. CVPR 2008 - [c14]Victor S. Lempitsky, Stefan Roth, Carsten Rother:
FusionFlow: Discrete-continuous optimization for optical flow estimation. CVPR 2008 - [c13]Stefan Roth, Victor S. Lempitsky, Carsten Rother:
Discrete-Continuous Optimization for Optical Flow Estimation. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 1-22 - [c12]Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. Black:
Learning Optical Flow. ECCV (3) 2008: 83-97 - 2007
- [c11]Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski:
A Database and Evaluation Methodology for Optical Flow. ICCV 2007: 1-8 - [c10]Stefan Roth, Michael J. Black:
Steerable Random Fields. ICCV 2007: 1-8 - 2006
- [c9]Stefan Roth, Michael J. Black:
Specular Flow and the Recovery of Surface Structure. CVPR (2) 2006: 1869-1876 - [c8]Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher, Michael J. Black:
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields. ECCV (2) 2006: 269-282 - [c7]Teodor Mihai Moldovan, Stefan Roth, Michael J. Black:
Denoising Archival Films using a Learned Bayesian Model. ICIP 2006: 2641-2644 - 2005
- [c6]Stefan Roth, Michael J. Black:
Fields of Experts: A Framework for Learning Image Priors. CVPR (2) 2005: 860-867 - [c5]Stefan Roth, Michael J. Black:
On the Spatial Statistics of Optical Flow. ICCV 2005: 42-49 - [c4]Frank D. Wood, Stefan Roth, Michael J. Black:
Modeling Neural Population Spiking Activity with Gibbs Distributions. NIPS 2005: 1537-1544 - 2004
- [c3]Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard:
Tracking Loose-Limbed People. CVPR (1) 2004: 421-428 - [c2]Stefan Roth, Leonid Sigal, Michael J. Black:
Gibbs Likelihoods for Bayesian Tracking. CVPR (1) 2004: 886-893 - 2001
- [c1]Christian Schellewald, Stefan Roth, Christoph Schnörr:
Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision. DAGM-Symposium 2001: 361-368
Editorship
- 2019
- [e7]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11129, Springer 2019, ISBN 978-3-030-11008-6 [contents] - [e6]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11130, Springer 2019, ISBN 978-3-030-11011-6 [contents] - [e5]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11131, Springer 2019, ISBN 978-3-030-11014-7 [contents] - [e4]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11132, Springer 2019, ISBN 978-3-030-11017-8 [contents] - [e3]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part V. Lecture Notes in Computer Science 11133, Springer 2019, ISBN 978-3-030-11020-8 [contents] - [e2]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11134, Springer 2019, ISBN 978-3-030-11023-9 [contents] - 2010
- [e1]Michael Goesele, Stefan Roth, Arjan Kuijper, Bernt Schiele, Konrad Schindler:
Pattern Recognition - 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010. Proceedings. Lecture Notes in Computer Science 6376, Springer 2010, ISBN 978-3-642-15985-5 [contents]
Informal and Other Publications
- 2024
- [i61]Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath:
A Perspective on Deep Vision Performance with Standard Image and Video Codecs. CoRR abs/2404.12330 (2024) - [i60]Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth:
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. CoRR abs/2404.16818 (2024) - [i59]Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth:
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images. CoRR abs/2405.20469 (2024) - 2023
- [i58]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Content-Adaptive Downsampling in Convolutional Neural Networks. CoRR abs/2305.09504 (2023) - [i57]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. CoRR abs/2308.06248 (2023) - [i56]Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth:
Vision Relation Transformer for Unbiased Scene Graph Generation. CoRR abs/2308.09472 (2023) - [i55]Sascha Rosbach, Stefan M. Leupold, Simon Großjohann, Stefan Roth:
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments. CoRR abs/2310.07706 (2023) - 2022
- [i54]Franz Klein, Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Grounded Style. CoRR abs/2205.01813 (2022) - [i53]Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth:
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. CoRR abs/2208.05788 (2022) - [i52]Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth:
S2-Flow: Joint Semantic and Style Editing of Facial Images. CoRR abs/2211.12209 (2022) - [i51]Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer:
Efficient Feature Extraction for High-resolution Video Frame Interpolation. CoRR abs/2211.14005 (2022) - 2021
- [i50]Jannik Schmitt, Stefan Roth:
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise. CoRR abs/2103.08497 (2021) - [i49]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. CoRR abs/2103.09962 (2021) - [i48]Nikita Araslanov, Stefan Roth:
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation. CoRR abs/2105.00097 (2021) - [i47]Junhwa Hur, Stefan Roth:
Self-Supervised Multi-Frame Monocular Scene Flow. CoRR abs/2105.02216 (2021) - [i46]Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth:
TxT: Crossmodal End-to-End Learning with Transformers. CoRR abs/2109.04422 (2021) - [i45]Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych:
xGQA: Cross-Lingual Visual Question Answering. CoRR abs/2109.06082 (2021) - [i44]Shweta Mahajan, Stefan Roth:
PixelPyramids: Exact Inference Models from Lossless Image Pyramids. CoRR abs/2110.08787 (2021) - [i43]Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth:
Dense Unsupervised Learning for Video Segmentation. CoRR abs/2111.06265 (2021) - [i42]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Fast Axiomatic Attribution for Neural Networks. CoRR abs/2111.07668 (2021) - 2020
- [i41]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. CoRR abs/2002.06661 (2020) - [i40]Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. CoRR abs/2003.09003 (2020) - [i39]Anne S. Wannenwetsch, Stefan Roth:
Probabilistic Pixel-Adaptive Refinement Networks. CoRR abs/2003.14407 (2020) - [i38]Junhwa Hur, Stefan Roth:
Optical Flow Estimation in the Deep Learning Age. CoRR abs/2004.02853 (2020) - [i37]Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows with Multi-Scale Autoregressive Priors. CoRR abs/2004.03891 (2020) - [i36]Junhwa Hur, Stefan Roth:
Self-Supervised Monocular Scene Flow Estimation. CoRR abs/2004.04143 (2020) - [i35]Nikita Araslanov, Stefan Roth:
Single-Stage Semantic Segmentation from Image Labels. CoRR abs/2005.08104 (2020) - [i34]Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn:
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery. CoRR abs/2005.14264 (2020) - [i33]Sascha Rosbach, Xing Li, Simon Großjohann, Silviu Homoceanu, Stefan Roth:
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning. CoRR abs/2007.05798 (2020) - [i32]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR abs/2010.07548 (2020) - [i31]Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Context-Object Split Latent Spaces. CoRR abs/2011.00966 (2020) - 2019
- [i30]Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth:
Actor-Critic Instance Segmentation. CoRR abs/1904.05126 (2019) - [i29]Junhwa Hur, Stefan Roth:
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. CoRR abs/1904.05290 (2019) - [i28]Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth:
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving. CoRR abs/1905.00229 (2019) - [i27]Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR abs/1906.04567 (2019) - [i26]Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth:
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. CoRR abs/1909.03677 (2019) - [i25]Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. CoRR abs/1909.06635 (2019) - [i24]Jochen Gast, Stefan Roth:
Deep Video Deblurring: The Devil is in the Details. CoRR abs/1909.12196 (2019) - [i23]Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth:
Markov Decision Process for Video Generation. CoRR abs/1909.12400 (2019) - [i22]Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Xing Li, Stefan Roth:
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving. CoRR abs/1912.03509 (2019) - 2018
- [i21]Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth:
Stochastic Variational Inference with Gradient Linearization. CoRR abs/1803.10586 (2018) - [i20]Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth:
Detail-Preserving Pooling in Deep Networks. CoRR abs/1804.04076 (2018) - [i19]Stephan R. Richter, Stefan Roth:
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. CoRR abs/1804.10975 (2018) - [i18]Jochen Gast, Stefan Roth:
Lightweight Probabilistic Deep Networks. CoRR abs/1805.11327 (2018) - [i17]Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth:
Multi-view X-ray R-CNN. CoRR abs/1810.02344 (2018) - [i16]Tobias Plötz, Stefan Roth:
Neural Nearest Neighbors Networks. CoRR abs/1810.12575 (2018) - 2017
- [i15]Marius Cordts, Timo Rehfeld, Lukas Schneider, David Pfeiffer, Markus Enzweiler, Stefan Roth, Marc Pollefeys, Uwe Franke:
The Stixel world: A medium-level representation of traffic scenes. CoRR abs/1704.00280 (2017) - [i14]Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth:
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. CoRR abs/1704.02781 (2017) - [i13]Tobias Plötz, Stefan Roth:
Benchmarking Denoising Algorithms with Real Photographs. CoRR abs/1707.01313 (2017) - [i12]Florian Lang, Tobias Plötz, Stefan Roth:
Robust Multi-Image HDR Reconstruction for the Modulo Camera. CoRR abs/1707.01317 (2017) - [i11]Junhwa Hur, Stefan Roth:
MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation. CoRR abs/1708.05355 (2017) - [i10]Anne S. Wannenwetsch, Margret Keuper, Stefan Roth:
ProbFlow: Joint Optical Flow and Uncertainty Estimation. CoRR abs/1708.06509 (2017) - [i9]Simon Meister, Junhwa Hur, Stefan Roth:
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss. CoRR abs/1711.07837 (2017) - 2016
- [i8]Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOT16: A Benchmark for Multi-Object Tracking. CoRR abs/1603.00831 (2016) - [i7]Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, Bernt Schiele:
The Cityscapes Dataset for Semantic Urban Scene Understanding. CoRR abs/1604.01685 (2016) - [i6]Jochen Gast, Anita Sellent, Stefan Roth:
Parametric Object Motion from Blur. CoRR abs/1604.05933 (2016) - [i5]Junhwa Hur, Stefan Roth:
Joint Optical Flow and Temporally Consistent Semantic Segmentation. CoRR abs/1607.07716 (2016) - [i4]Anita Sellent, Carsten Rother, Stefan Roth:
Stereo Video Deblurring. CoRR abs/1607.08421 (2016) - [i3]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. CoRR abs/1608.02192 (2016) - 2015
- [i2]Laura Leal-Taixé, Anton Milan, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. CoRR abs/1504.01942 (2015) - 2014
- [i1]Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin, Stefan Roth, Carsten Rother:
Cascades of Regression Tree Fields for Image Restoration. CoRR abs/1404.2086 (2014)
Coauthor Index
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