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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://dblp1.uni-trier.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
- 2025
[e22]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15059, Springer 2025, ISBN 978-3-031-73231-7 [contents]- [e21]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15062, Springer 2025, ISBN 978-3-031-73234-8 [contents] - [e20]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15064, Springer 2025, ISBN 978-3-031-72657-6 [contents] - [e19]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15065, Springer 2025, ISBN 978-3-031-72666-8 [contents] - [e18]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XVIII. Lecture Notes in Computer Science 15076, Springer 2025, ISBN 978-3-031-72648-4 [contents] - [e17]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXII. Lecture Notes in Computer Science 15080, Springer 2025, ISBN 978-3-031-72669-9 [contents] - [e16]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXV. Lecture Notes in Computer Science 15093, Springer 2025, ISBN 978-3-031-72760-3 [contents] - [e15]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXVIII. Lecture Notes in Computer Science 15096, Springer 2025, ISBN 978-3-031-72919-5 [contents] - [e14]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIX. Lecture Notes in Computer Science 15097, Springer 2025, ISBN 978-3-031-72932-4 [contents] - [e13]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLII. Lecture Notes in Computer Science 15100, Springer 2025, ISBN 978-3-031-72945-4 [contents] - [e12]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLIII. Lecture Notes in Computer Science 15101, Springer 2025, ISBN 978-3-031-72774-0 [contents] - [e11]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLIV. Lecture Notes in Computer Science 15102, Springer 2025, ISBN 978-3-031-72783-2 [contents] - [e10]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLVI. Lecture Notes in Computer Science 15104, Springer 2025, ISBN 978-3-031-72951-5 [contents] - [e9]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LVII. Lecture Notes in Computer Science 15115, Springer 2025, ISBN 978-3-031-72997-3 [contents] - [e8]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXII. Lecture Notes in Computer Science 15140, Springer 2025, ISBN 978-3-031-73006-1 [contents] - 2024
- [c112]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. CVPR Workshops 2024: 2505-2515 - [c111]Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath:
A Perspective on Deep Vision Performance with Standard Image and Video Codecs. CVPR Workshops 2024: 5712-5721 - [c110]Jan-Martin O. Steitz, Stefan Roth:
Adapters Strike Back. CVPR 2024: 23449-23459 - [i65]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) - [i64]Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth:
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. CoRR abs/2404.16818 (2024) - [i63]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) - [i62]Jan-Martin O. Steitz, Stefan Roth:
Adapters Strike Back. CoRR abs/2406.06820 (2024) - [i61]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Benchmarking the Attribution Quality of Vision Models. CoRR abs/2407.11910 (2024) - [i60]Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth:
Guided Latent Slot Diffusion for Object-Centric Learning. CoRR abs/2407.17929 (2024) - [i59]Tobias Lingenberg, Markus Reuter, Gopika Sudhakaran, Dominik Gojny, Stefan Roth, Simone Schaub-Meyer:
DIAGen: Diverse Image Augmentation with Generative Models. CoRR abs/2408.14584 (2024) - 2023
- [j19]Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth:
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. Trans. Mach. Learn. Res. 2023 (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 - [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
- [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) - [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 - [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) - [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 - [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]