Stefan Roth

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 126

Top Venues

Publications

Jan-Martin O. Steitz, Stefan Roth
Adapters Strike Back. CoRR (2024)
Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. CoRR (2024)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Benchmarking the Attribution Quality of Vision Models. CoRR (2024)
Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
A Perspective on Deep Vision Performance with Standard Image and Video Codecs. CoRR (2024)
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
Guided Latent Slot Diffusion for Object-Centric Learning. CoRR (2024)
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 (2024)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Content-Adaptive Downsampling in Convolutional Neural Networks. CVPR Workshops (2023)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. CoRR (2023)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. ICCV (2023)
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)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Content-Adaptive Downsampling in Convolutional Neural Networks. CoRR (2023)
Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
Vision Relation Transformer for Unbiased Scene Graph Generation. ICCV (2023)
Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
Vision Relation Transformer for Unbiased Scene Graph Generation. CoRR (2023)
Sascha Rosbach, Stefan M. Leupold, Simon Großjohann, Stefan Roth
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments. CoRR (2023)
Jiangxin Dong, Stefan Roth, Bernt Schiele
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
Efficient Feature Extraction for High-resolution Video Frame Interpolation. CoRR (2022)
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
-Flow: Joint Semantic and Style Editing of Facial Images. CoRR (2022)
Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
Efficient Feature Extraction for High-resolution Video Frame Interpolation. BMVC (2022)
Franz Klein, Shweta Mahajan, Stefan Roth
Diverse Image Captioning with Grounded Style. CoRR (2022)
Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. CoRR (2022)
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)
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
$S^2$-Flow: Joint Semantic and Style Editing of Facial Images. BMVC (2022)
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)
Junhwa Hur, Stefan Roth
Self-Supervised Multi-Frame Monocular Scene Flow. CoRR (2021)
Nikita Araslanov, Stefan Roth
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation. CoRR (2021)
Shweta Mahajan, Stefan Roth
PixelPyramids: Exact Inference Models from Lossless Image Pyramids. ICCV (2021)
Franz Klein, Shweta Mahajan, Stefan Roth
Diverse Image Captioning with Grounded Style. GCPR (2021)
Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth
TxT: Crossmodal End-to-End Learning with Transformers. CoRR (2021)
Junhwa Hur, Stefan Roth
Self-Supervised Multi-Frame Monocular Scene Flow. CVPR (2021)
Nikita Araslanov, Stefan Roth
Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation. CVPR (2021)
Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Dense Unsupervised Learning for Video Segmentation. NeurIPS (2021)
Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Dense Unsupervised Learning for Video Segmentation. CoRR (2021)
Shweta Mahajan, Stefan Roth
PixelPyramids: Exact Inference Models from Lossless Image Pyramids. CoRR (2021)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Fast Axiomatic Attribution for Neural Networks. NeurIPS (2021)
Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych
xGQA: Cross-Lingual Visual Question Answering. CoRR (2021)
Jiangxin Dong, Stefan Roth, Bernt Schiele
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. CVPR (2021)
Jannik Schmitt, Stefan Roth
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise. CoRR (2021)
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) (2021)
Faraz Saeedan, Stefan Roth
Boosting Monocular Depth with Panoptic Segmentation Maps. WACV (2021)
Jannik Schmitt, Stefan Roth
Sampling-Free Variational Inference for Neural Networks with Multiplicative Activation Noise. GCPR (2021)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Fast Axiomatic Attribution for Neural Networks. CoRR (2021)
Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth
TxT: Crossmodal End-to-End Learning with Transformers. GCPR (2021)
Jiangxin Dong, Stefan Roth, Bernt Schiele
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. CoRR (2021)
Shweta Mahajan, Stefan Roth
Diverse Image Captioning with Context-Object Split Latent Spaces. CoRR (2020)
Shweta Mahajan, Stefan Roth
Diverse Image Captioning with Context-Object Split Latent Spaces. NeurIPS (2020)
Jiangxin Dong, Stefan Roth, Bernt Schiele
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. NeurIPS (2020)
Junhwa Hur, Stefan Roth
Optical Flow Estimation in the Deep Learning Age. CoRR (2020)
Junhwa Hur, Stefan Roth
Self-Supervised Monocular Scene Flow Estimation. CVPR (2020)
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 (2020)
Junhwa Hur, Stefan Roth
Self-Supervised Monocular Scene Flow Estimation. CoRR (2020)
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 (2020)
Nikita Araslanov, Stefan Roth
Single-Stage Semantic Segmentation From Image Labels. CVPR (2020)
Anne S. Wannenwetsch, Stefan Roth
Probabilistic Pixel-Adaptive Refinement Networks. CoRR (2020)
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 (2020)
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)
Shweta Mahajan, Iryna Gurevych, Stefan Roth
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. CoRR (2020)
Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth
Normalizing Flows with Multi-Scale Autoregressive Priors. CoRR (2020)
Anne S. Wannenwetsch, Stefan Roth
Probabilistic Pixel-Adaptive Refinement Networks. CVPR (2020)
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)
Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth
Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR (2020)
Nikita Araslanov, Stefan Roth
Single-Stage Semantic Segmentation from Image Labels. CoRR (2020)
Shweta Mahajan, Iryna Gurevych, Stefan Roth
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. ICLR (2020)
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 (2020)
Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth
Markov Decision Process for Video Generation. CoRR (2019)
Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth
Actor-Critic Instance Segmentation. CoRR (2019)
Junhwa Hur, Stefan Roth
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. CVPR (2019)
Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. CoRR (2019)
Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth
Actor-Critic Instance Segmentation. CVPR (2019)
Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth
Markov Decision Process for Video Generation. ICCV Workshops (2019)
Junhwa Hur, Stefan Roth
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. CoRR (2019)
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)
Jochen Gast, Stefan Roth
Deep Video Deblurring: The Devil is in the Details. ICCV Workshops (2019)
Jochen Gast, Stefan Roth
Deep Video Deblurring: The Devil is in the Details. CoRR (2019)
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 (2019)
Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving. CoRR (2019)
Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. GCPR (2019)
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 (2019)
Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. CoRR (2019)
Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. ICCV Workshops (2019)
Stephan R. Richter, Stefan Roth
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. CVPR (2018)
Meiguang Jin, Stefan Roth, Paolo Favaro
Normalized Blind Deconvolution. ECCV (7) (2018)
Tobias Plötz, Stefan Roth
Neural Nearest Neighbors Networks. NeurIPS (2018)
Jochen Gast, Stefan Roth
Lightweight Probabilistic Deep Networks. CoRR (2018)
Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth
Multi-view X-ray R-CNN. CoRR (2018)
Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth
Multi-view X-Ray R-CNN. GCPR (2018)
Stephan R. Richter, Stefan Roth
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. CoRR (2018)
Tobias Plötz, Stefan Roth
Neural Nearest Neighbors Networks. CoRR (2018)
Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth
Stochastic Variational Inference with Gradient Linearization. CoRR (2018)
Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth
Detail-Preserving Pooling in Deep Networks. CoRR (2018)
Simon Meister, Junhwa Hur, Stefan Roth
UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss. AAAI (2018)
Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth
Detail-Preserving Pooling in Deep Networks. CVPR (2018)
Hatem Mousselly Sergieh, Teresa Botschen, Iryna Gurevych, Stefan Roth
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning. *SEM@NAACL-HLT (2018)
Jochen Gast, Stefan Roth
Lightweight Probabilistic Deep Networks. CVPR (2018)
Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly Sergieh, Stefan Roth
Multimodal Frame Identification with Multilingual Evaluation. NAACL-HLT (2018)
Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth
Stochastic Variational Inference With Gradient Linearization. CVPR (2018)
Anne S. Wannenwetsch, Margret Keuper, Stefan Roth
ProbFlow: Joint Optical Flow and Uncertainty Estimation. ICCV (2017)
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 (2017)
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) (2017)
Meiguang Jin, Stefan Roth, Paolo Favaro
Noise-Blind Image Deblurring. CVPR (2017)
Florian Lang, Tobias Plötz, Stefan Roth
Robust Multi-Image HDR Reconstruction for the Modulo Camera. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefan Roth