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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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2020 – today
- 2023
[c106]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Content-Adaptive Downsampling in Convolutional Neural Networks. CVPR Workshops 2023: 4544-4553- [i57]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Content-Adaptive Downsampling in Convolutional Neural Networks. CoRR abs/2305.09504 (2023) - [i56]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) - [i55]Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth:
Vision Relation Transformer for Unbiased Scene Graph Generation. CoRR abs/2308.09472 (2023) - 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) - [c105]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 - [c104]Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth:
$S^2$-Flow: Joint Semantic and Style Editing of Facial Images. BMVC 2022: 821 - [c103]Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer:
Efficient Feature Extraction for High-resolution Video Frame Interpolation. BMVC 2022: 825 - [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
- [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) - [c102]Junhwa Hur, Stefan Roth:
Self-Supervised Multi-Frame Monocular Scene Flow. CVPR 2021: 2684-2694 - [c101]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. CVPR 2021: 4886-4895 - [c100]Nikita Araslanov, Stefan Roth:
Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation. CVPR 2021: 15384-15394 - [c99]Jannik Schmitt, Stefan Roth:
Sampling-Free Variational Inference for Neural Networks with Multiplicative Activation Noise. GCPR 2021: 33-47 - [c98]Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth:
TxT: Crossmodal End-to-End Learning with Transformers. GCPR 2021: 405-420 - [c97]Franz Klein, Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Grounded Style. GCPR 2021: 421-436 - [c96]Shweta Mahajan, Stefan Roth:
PixelPyramids: Exact Inference Models from Lossless Image Pyramids. ICCV 2021: 6619-6628 - [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 - [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
- [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 - [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)
2010 – 2019
- 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 - [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] - [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
- [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [j11]