ML Anthology

Roth, Stefan

79 publications

TMLR 2026 Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models? Robin Hesse, Doğukan Bağcı, Bernt Schiele, Simone Schaub-Meyer, Stefan Roth
ICCV 2025 ART: Adaptive Relation Tuning for Generalized Relation Prediction Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski, Simone Schaub-Meyer, Kristian Kersting, Stefan Roth
ICCV 2025 Activation Subspaces for Out-of-Distribution Detection Barış Zöngür, Robin Hesse, Stefan Roth
CVPRW 2025 Disentangling Polysemantic Channels in Convolutional Neural Networks Robin Hesse, Jonas Fischer, Simone Schaub-Meyer, Stefan Roth
ICCV 2025 Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion Aleksandar Jevtić, Christoph Reich, Felix Wimbauer, Oliver Hahn, Christian Rupprecht, Stefan Roth, Daniel Cremers
CVPR 2025 GLASS: Guided Latent Slot Diffusion for Object-Centric Learning Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
ICCV 2025 Removing Cost Volumes from Optical Flow Estimators Simon Kiefhaber, Stefan Roth, Simone Schaub-Meyer
CVPR 2025 Scene-Centric Unsupervised Panoptic Segmentation Oliver Hahn, Christoph Reich, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth
CVPRW 2024 A Perspective on Deep Vision Performance with Standard Image and Video Codecs Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
CVPR 2024 Adapters Strike Back Jan-Martin O. Steitz, Stefan Roth
NeurIPS 2024 Benchmarking the Attribution Quality of Vision Models Robin Hesse, Simone Schaub-Meyer, Stefan Roth
TMLR 2024 Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
CVPRW 2024 Is Synthetic Data All We Need? Benchmarking the Robustness of Models Trained with Synthetic Images Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth
CVPRW 2023 Content-Adaptive Downsampling in Convolutional Neural Networks Robin Hesse, Simone Schaub-Meyer, Stefan Roth
ICCV 2023 FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse, Simone Schaub-Meyer, Stefan Roth
TMLR 2023 Semantic Self-Adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth
ICCV 2023 Vision Relation Transformer for Unbiased Scene Graph Generation Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
WACV 2021 Boosting Monocular Depth with Panoptic Segmentation Maps Faraz Saeedan, Stefan Roth
NeurIPS 2021 Dense Unsupervised Learning for Video Segmentation Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
NeurIPS 2021 Fast Axiomatic Attribution for Neural Networks Robin Hesse, Simone Schaub-Meyer, Stefan Roth
CVPR 2021 Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring Jiangxin Dong, Stefan Roth, Bernt Schiele
ICCV 2021 PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan, Stefan Roth
CVPR 2021 Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov, Stefan Roth
CVPR 2021 Self-Supervised Multi-Frame Monocular Scene Flow Junhwa Hur, Stefan Roth
NeurIPS 2020 Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring Jiangxin Dong, Stefan Roth, Bernt Schiele
NeurIPS 2020 Diverse Image Captioning with Context-Object Split Latent Spaces Shweta Mahajan, Stefan Roth
ICLR 2020 Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan, Iryna Gurevych, Stefan Roth
ICCVW 2019 Deep Video Deblurring: The Devil Is in the Details Jochen Gast, Stefan Roth
ICCVW 2019 Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth
ICCVW 2019 Markov Decision Process for Video Generation Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth
NeurIPS 2018 Neural Nearest Neighbors Networks Tobias Plötz, Stefan Roth
ECCV 2018 Normalized Blind Deconvolution Meiguang Jin, Stefan Roth, Paolo Favaro
AAAI 2018 UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss Simon Meister, Junhwa Hur, Stefan Roth
CVPR 2017 Benchmarking Denoising Algorithms with Real Photographs Tobias Plotz, Stefan Roth
ICCV 2017 MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation Junhwa Hur, Stefan Roth
CVPR 2017 Noise-Blind Image Deblurring Meiguang Jin, Stefan Roth, Paolo Favaro
ICCV 2017 ProbFlow: Joint Optical Flow and Uncertainty Estimation Anne S. Wannenwetsch, Margret Keuper, Stefan Roth
ECCV 2016 Joint Optical Flow and Temporally Consistent Semantic Segmentation Junhwa Hur, Stefan Roth
ECCVW 2016 Joint Optical Flow and Temporally Consistent Semantic Segmentation Junhwa Hur, Stefan Roth
CVPR 2016 Parametric Object Motion from Blur Jochen Gast, Anita Sellent, Stefan Roth
ECCV 2016 Playing for Data: Ground Truth from Computer Games Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
ECCV 2016 Stereo Video Deblurring Anita Sellent, Carsten Rother, Stefan Roth
CVPR 2016 The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, Bernt Schiele
CVPR 2015 Discriminative Shape from Shading in Uncalibrated Illumination Stephan R. Richter, Stefan Roth
WACV 2015 Interleaved Regression Tree Field Cascades for Blind Image Deconvolution Kevin Schelten, Sebastian Nowozin, Jeremy Jancsary, Carsten Rother, Stefan Roth
ICCV 2015 Registering Images to Untextured Geometry Using Average Shading Gradients Tobias Plotz, Stefan Roth
CVPR 2014 Shrinkage Fields for Effective Image Restoration Uwe Schmidt, Stefan Roth
ECCV 2014 Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding Timo Scharwächter, Markus Enzweiler, Uwe Franke, Stefan Roth
ECCV 2014 View-Consistent 3D Scene Flow Estimation over Multiple Frames Christoph Vogel, Stefan Roth, Konrad Schindler
CVPRW 2013 Challenges of Ground Truth Evaluation of Multi-Target Tracking Anton Milan, Konrad Schindler, Stefan Roth
CVPR 2013 Detection- and Trajectory-Level Exclusion in Multiple Object Tracking Anton Milan, Konrad Schindler, Stefan Roth
CVPR 2013 Discriminative Non-Blind Deblurring Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, Stefan Roth
ICCV 2013 Learning People Detectors for Tracking in Crowded Scenes Siyu Tang, Mykhaylo Andriluka, Anton Milan, Konrad Schindler, Stefan Roth, Bernt Schiele
ICCV 2013 Piecewise Rigid Scene Flow Christoph Vogel, Konrad Schindler, Stefan Roth
CVPR 2012 Discrete-Continuous Optimization for Multi-Target Tracking Anton Andriyenko, Konrad Schindler, Stefan Roth
CVPR 2012 Learning Rotation-Aware Features: From Invariant Priors to Equivariant Descriptors Uwe Schmidt, Stefan Roth
ICCV 2011 3D Scene Flow Estimation with a Rigid Motion Prior Christoph Vogel, Konrad Schindler, Stefan Roth
CVPR 2011 Bayesian Deblurring with Integrated Noise Estimation Uwe Schmidt, Kevin Schelten, Stefan Roth
CVPR 2011 Connecting Non-Quadratic Variational Models and MRFs Kevin Schelten, Stefan Roth
CVPR 2011 Monocular 3D Scene Understanding with Explicit Occlusion Reasoning Christian Wojek, Stefan Walk, Stefan Roth, Bernt Schiele
CVPR 2010 A Generative Perspective on MRFs in Low-Level Vision Uwe Schmidt, Qi Gao, Stefan Roth
CVPR 2010 Automatic Discovery of Meaningful Object Parts with Latent CRFs Paul Schnitzspan, Stefan Roth, Bernt Schiele
CVPR 2010 Monocular 3D Pose Estimation and Tracking by Detection Mykhaylo Andriluka, Stefan Roth, Bernt Schiele
ECCV 2010 Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes Christian Wojek, Stefan Roth, Konrad Schindler, Bernt Schiele
CVPR 2010 Secrets of Optical Flow Estimation and Their Principles Deqing Sun, Stefan Roth, Michael J. Black
CVPR 2009 Discriminative Structure Learning of Hierarchical Representations for Object Detection Paul Schnitzspan, Mario Fritz, Stefan Roth, Bernt Schiele
CVPR 2009 Pictorial Structures Revisited: People Detection and Articulated Pose Estimation Mykhaylo Andriluka, Stefan Roth, Bernt Schiele
CVPR 2008 FusionFlow: Discrete-Continuous Optimization for Optical Flow Estimation Victor S. Lempitsky, Stefan Roth, Carsten Rother
ECCV 2008 Learning Optical Flow Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. Black
CVPR 2008 People-Tracking-by-Detection and People-Detection-by-Tracking Mykhaylo Andriluka, Stefan Roth, Bernt Schiele
ICCV 2007 A Database and Evaluation Methodology for Optical Flow Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski
ICCV 2007 Steerable Random Fields Stefan Roth, Michael J. Black
ECCV 2006 Efficient Belief Propagation with Learned Higher-Order Markov Random Fields Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher, Michael J. Black
CVPR 2006 Specular Flow and the Recovery of Surface Structure Stefan Roth, Michael J. Black
CVPR 2005 Fields of Experts: A Framework for Learning Image Priors Stefan Roth, Michael J. Black
NeurIPS 2005 Modeling Neural Population Spiking Activity with Gibbs Distributions Frank Wood, Stefan Roth, Michael J. Black
ICCV 2005 On the Spatial Statistics of Optical Flow Stefan Roth, Michael J. Black
CVPR 2004 Gibbs Likelihoods for Bayesian Tracking Stefan Roth, Leonid Sigal, Michael J. Black
CVPR 2004 Tracking Loose-Limbed People Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard