Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision. - Christian Schellewald; Stefan Roth 001; Christoph Schnörr (DAGM-Symposium, 2001)

Gibbs Likelihoods for Bayesian Tracking. - Stefan Roth 001; Leonid Sigal; Michael J. Black (CVPR (1), 2004)

Tracking Loose-Limbed People. - Leonid Sigal; Sidharth Bhatia; Stefan Roth 001; Michael J. Black; Michael Isard (CVPR (1), 2004)

Fields of Experts: A Framework for Learning Image Priors. - Stefan Roth 001; Michael J. Black (CVPR (2), 2005)

Modeling Neural Population Spiking Activity with Gibbs Distributions. - Frank D. Wood; Stefan Roth 001; Michael J. Black (NIPS, 2005)

Specular Flow and the Recovery of Surface Structure. - Stefan Roth 001; Michael J. Black (CVPR (2), 2006)

Efficient Belief Propagation with Learned Higher-Order Markov Random Fields. - Xiangyang Lan; Stefan Roth 001; Daniel P. Huttenlocher; Michael J. Black (ECCV (2), 2006)

Denoising Archival Films using a Learned Bayesian Model. - Teodor Mihai Moldovan; Stefan Roth 001; Michael J. Black (ICIP, 2006)

Steerable Random Fields. - Stefan Roth 001; Michael J. Black (ICCV, 2007)

On the Spatial Statistics of Optical Flow. - Stefan Roth 001; Michael J. Black (Int. J. Comput. Vis., 2007)

Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. - Christian Schellewald; Stefan Roth 001; Christoph Schnörr (Image Vis. Comput., 2007)

High-Order Markov Random Fields for Low-Level Vision. - Stefan Roth 001 (2007)

People-tracking-by-detection and people-detection-by-tracking. - Mykhaylo Andriluka; Stefan Roth 001; Bernt Schiele (CVPR, 2008)

FusionFlow: Discrete-continuous optimization for optical flow estimation. - Victor S. Lempitsky; Stefan Roth 001; Carsten Rother (CVPR, 2008)

Discrete-Continuous Optimization for Optical Flow Estimation. - Stefan Roth 001; Victor S. Lempitsky; Carsten Rother (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

Learning Optical Flow. - Deqing Sun; Stefan Roth 001; J. P. Lewis 001; Michael J. Black (ECCV (3), 2008)

Pictorial structures revisited: People detection and articulated pose estimation. - Mykhaylo Andriluka; Stefan Roth 001; Bernt Schiele (CVPR, 2009)

Discriminative structure learning of hierarchical representations for object detection. - Paul Schnitzspan; Mario Fritz; Stefan Roth 001; Bernt Schiele (CVPR, 2009)

Real-time Stereo-Image Stitching using GPU-based Belief Propagation. - Michael Adam; Christoph Jung; Stefan Roth 001; Guido Brunnett (VMV, 2009)

Fields of Experts. - Stefan Roth 001; Michael J. Black (Int. J. Comput. Vis., 2009)

Monocular 3D pose estimation and tracking by detection. - Mykhaylo Andriluka; Stefan Roth 001; Bernt Schiele (CVPR, 2010)

A generative perspective on MRFs in low-level vision. - Uwe Schmidt 001; Qi Gao; Stefan Roth 001 (CVPR, 2010)

Automatic discovery of meaningful object parts with latent CRFs. - Paul Schnitzspan; Stefan Roth 001; Bernt Schiele (CVPR, 2010)

Secrets of optical flow estimation and their principles. - Deqing Sun; Stefan Roth 001; Michael J. Black (CVPR, 2010)

Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes. - Christian Wojek; Stefan Roth 001; Konrad Schindler; Bernt Schiele (ECCV (4), 2010)

Vision based victim detection from unmanned aerial vehicles. - Mykhaylo Andriluka; Paul Schnitzspan; Johannes Meyer; Stefan Kohlbrecher; Karen Petersen; Oskar von Stryk; Stefan Roth 001; Bernt Schiele (IROS, 2010)

A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors. - Johannes Meyer; Paul Schnitzspan; Stefan Kohlbrecher; Karen Petersen; Mykhaylo Andriluka; Oliver Schwahn; Uwe Klingauf; Stefan Roth 001; Bernt Schiele; Oskar von Stryk (RoboCup, 2010)

Fusion Moves for Markov Random Field Optimization. - Victor S. Lempitsky; Carsten Rother; Stefan Roth 001; Andrew Blake 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Connecting non-quadratic variational models and MRFs. - Kevin Schelten; Stefan Roth 001 (CVPR, 2011)

Bayesian deblurring with integrated noise estimation. - Uwe Schmidt 001; Kevin Schelten; Stefan Roth 001 (CVPR, 2011)

Monocular 3D scene understanding with explicit occlusion reasoning. - Christian Wojek; Stefan Walk; Stefan Roth 001; Bernt Schiele (CVPR, 2011)

3D scene flow estimation with a rigid motion prior. - Christoph Vogel; Konrad Schindler; Stefan Roth 001 (ICCV, 2011)

An analytical formulation of global occlusion reasoning for multi-target tracking. - Anton Andriyenko; Stefan Roth 001; Konrad Schindler (ICCV Workshops, 2011)

A Database and Evaluation Methodology for Optical Flow. - Simon Baker; Daniel Scharstein; J. P. Lewis 001; Stefan Roth 001; Michael J. Black; Richard Szeliski (Int. J. Comput. Vis., 2011)

Discrete-continuous optimization for multi-target tracking. - Anton Andriyenko; Konrad Schindler; Stefan Roth 001 (CVPR, 2012)

Learning rotation-aware features: From invariant priors to equivariant descriptors. - Uwe Schmidt 001; Stefan Roth 001 (CVPR, 2012)

Pottics - The Potts Topic Model for Semantic Image Segmentation. - Christoph Dann; Peter V. Gehler; Stefan Roth 001; Sebastian Nowozin (DAGM/OAGM Symposium, 2012)

Object Detection in Multi-view X-Ray Images. - Thorsten Franzel; Uwe Schmidt 001; Stefan Roth 001 (DAGM/OAGM Symposium, 2012)

How Well Do Filter-Based MRFs Model Natural Images? - Qi Gao; Stefan Roth 001 (DAGM/OAGM Symposium, 2012)

Mean Field for Continuous High-Order MRFs. - Kevin Schelten; Stefan Roth 001 (DAGM/OAGM Symposium, 2012)

Discriminative Appearance Models for Pictorial Structures. - Mykhaylo Andriluka; Stefan Roth 001; Bernt Schiele (Int. J. Comput. Vis., 2012)

Detection- and Trajectory-Level Exclusion in Multiple Object Tracking. - Anton Milan; Konrad Schindler; Stefan Roth 001 (CVPR, 2013)

Challenges of Ground Truth Evaluation of Multi-target Tracking. - Anton Milan; Konrad Schindler; Stefan Roth 001 (CVPR Workshops, 2013)

Discriminative Non-blind Deblurring. - Uwe Schmidt 001; Carsten Rother; Sebastian Nowozin; Jeremy Jancsary; Stefan Roth 001 (CVPR, 2013)

Efficient Multi-cue Scene Segmentation. - Timo Scharwächter; Markus Enzweiler; Uwe Franke; Stefan Roth 001 (GCPR, 2013)

An Evaluation of Data Costs for Optical Flow. - Christoph Vogel; Stefan Roth 001; Konrad Schindler (GCPR, 2013)

Learning People Detectors for Tracking in Crowded Scenes. - Siyu Tang 001; Mykhaylo Andriluka; Anton Milan; Konrad Schindler; Stefan Roth 001; Bernt Schiele (ICCV, 2013)

Piecewise Rigid Scene Flow. - Christoph Vogel; Konrad Schindler; Stefan Roth 001 (ICCV, 2013)

Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes. - Christian Wojek; Stefan Walk; Stefan Roth 001; Konrad Schindler; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Privacy Preserving Multi-target Tracking. - Anton Milan; Stefan Roth 001; Konrad Schindler; Mineichi Kudo (ACCV Workshops (3), 2014)

Shrinkage Fields for Effective Image Restoration. - Uwe Schmidt 001; Stefan Roth 001 (CVPR, 2014)

Object-Level Priors for Stixel Generation. - Marius Cordts; Lukas Schneider; Markus Enzweiler; Uwe Franke; Stefan Roth 001 (GCPR, 2014)

Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding. - Timo Scharwächter; Markus Enzweiler; Uwe Franke; Stefan Roth 001 (ECCV (5), 2014)

View-Consistent 3D Scene Flow Estimation over Multiple Frames. - Christoph Vogel; Stefan Roth 001; Konrad Schindler (ECCV (4), 2014)

Localized Image Blur Removal through Non-parametric Kernel Estimation. - Kevin Schelten; Stefan Roth 001 (ICPR, 2014)

Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms. - Qi Gao; Stefan Roth 001 (S+SSPR, 2014)

A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them. - Deqing Sun; Stefan Roth 001; Michael J. Black (Int. J. Comput. Vis., 2014)

Continuous Energy Minimization for Multitarget Tracking. - Anton Milan; Stefan Roth 001; Konrad Schindler (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Discriminative shape from shading in uncalibrated illumination. - Stephan R. Richter; Stefan Roth 001 (CVPR, 2015)

Registering Images to Untextured Geometry Using Average Shading Gradients. - Tobias Plötz; Stefan Roth 001 (ICCV, 2015)

Interleaved Regression Tree Field Cascades for Blind Image Deconvolution. - Kevin Schelten; Sebastian Nowozin; Jeremy Jancsary; Carsten Rother; Stefan Roth 001 (WACV, 2015)

A discriminative approach to perspective shape from shading in uncalibrated illumination. - Stephan R. Richter; Stefan Roth 001 (Comput. Graph., 2015)

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. - Laura Leal-Taixé; Anton Milan; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler (CoRR, 2015)

3D Scene Flow Estimation with a Piecewise Rigid Scene Model. - Christoph Vogel; Konrad Schindler; Stefan Roth 001 (Int. J. Comput. Vis., 2015)

The Cityscapes Dataset for Semantic Urban Scene Understanding. - Marius Cordts; Mohamed Omran; Sebastian Ramos; Timo Rehfeld; Markus Enzweiler; Rodrigo Benenson; Uwe Franke; Stefan Roth 001; Bernt Schiele (CVPR, 2016)

Parametric Object Motion from Blur. - Jochen Gast; Anita Sellent; Stefan Roth 001 (CVPR, 2016)

Joint Optical Flow and Temporally Consistent Semantic Segmentation. - Junhwa Hur; Stefan Roth 001 (ECCV Workshops (1), 2016)

Playing for Data: Ground Truth from Computer Games. - Stephan R. Richter; Vibhav Vineet; Stefan Roth 001; Vladlen Koltun (ECCV (2), 2016)

Stereo Video Deblurring. - Anita Sellent; Carsten Rother; Stefan Roth 001 (ECCV (2), 2016)

Semantic Stixels: Depth is not enough. - Lukas Schneider; Marius Cordts; Timo Rehfeld; David Pfeiffer; Markus Enzweiler; Uwe Franke; Marc Pollefeys; Stefan Roth 001 (Intelligent Vehicles Symposium, 2016)

Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds. - Tamy Boubekeur; Paolo Cignoni; Elmar Eisemann; Michael Goesele; Reinhard Klein; Stefan Roth 001; Michael Weinmann; Michael Wimmer 001 (GCH, 2016)

MOT16: A Benchmark for Multi-Object Tracking. - Anton Milan; Laura Leal-Taixé; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler (CoRR, 2016)

Multi-Target Tracking by Discrete-Continuous Energy Minimization. - Anton Milan; Konrad Schindler; Stefan Roth 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Cascades of Regression Tree Fields for Image Restoration. - Uwe Schmidt 001; Jeremy Jancsary; Sebastian Nowozin; Stefan Roth 001; Carsten Rother (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Interactive Data Analytics for the Humanities. - Iryna Gurevych; Christian M. Meyer; Carsten Binnig; Johannes Fürnkranz; Kristian Kersting; Stefan Roth 001; Edwin Simpson (CICLing (1), 2017)

Noise-Blind Image Deblurring. - Meiguang Jin; Stefan Roth 001; Paolo Favaro (CVPR, 2017)

Benchmarking Denoising Algorithms with Real Photographs. - Tobias Plötz; Stefan Roth 001 (CVPR, 2017)

Robust Multi-image HDR Reconstruction for the Modulo Camera. - Florian Lang 001; Tobias Plötz; Stefan Roth 001 (GCPR, 2017)

MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation. - Junhwa Hur; Stefan Roth 001 (ICCV, 2017)

ProbFlow: Joint Optical Flow and Uncertainty Estimation. - Anne S. Wannenwetsch; Margret Keuper; Stefan Roth 001 (ICCV, 2017)

Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. - Laura Leal-Taixé; Anton Milan; Konrad Schindler; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001 (CoRR, 2017)

Automatic Registration of Images to Untextured Geometry Using Average Shading Gradients. - Tobias Plötz; Stefan Roth 001 (Int. J. Comput. Vis., 2017)

The Stixel World: A medium-level representation of traffic scenes. - Marius Cordts; Timo Rehfeld; Lukas Schneider; David Pfeiffer; Markus Enzweiler; Stefan Roth 001; Marc Pollefeys; Uwe Franke (Image Vis. Comput., 2017)

Tree-Structured Models for Efficient Multi-Cue Scene Labeling. - Marius Cordts; Timo Rehfeld; Markus Enzweiler; Uwe Franke; Stefan Roth 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss. - Simon Meister; Junhwa Hur; Stefan Roth 001 (AAAI, 2018)

Lightweight Probabilistic Deep Networks. - Jochen Gast; Stefan Roth 001 (CVPR, 2018)

Stochastic Variational Inference With Gradient Linearization. - Tobias Plötz; Anne S. Wannenwetsch; Stefan Roth 001 (CVPR, 2018)

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. - Stephan R. Richter; Stefan Roth 001 (CVPR, 2018)

Detail-Preserving Pooling in Deep Networks. - Faraz Saeedan; Nicolas Weber; Michael Goesele; Stefan Roth 001 (CVPR, 2018)

Multi-view X-Ray R-CNN. - Jan-Martin O. Steitz; Faraz Saeedan; Stefan Roth 001 (GCPR, 2018)

Normalized Blind Deconvolution. - Meiguang Jin; Stefan Roth 001; Paolo Favaro (ECCV (7), 2018)

Multimodal Frame Identification with Multilingual Evaluation. - Teresa Botschen; Iryna Gurevych; Jan-Christoph Klie; Hatem Mousselly Sergieh; Stefan Roth 001 (NAACL-HLT, 2018)

Neural Nearest Neighbors Networks. - Tobias Plötz; Stefan Roth 001 (NeurIPS, 2018)

A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning. - Hatem Mousselly Sergieh; Teresa Botschen; Iryna Gurevych; Stefan Roth 001 (*SEM@NAACL-HLT, 2018)

Actor-Critic Instance Segmentation. - Nikita Araslanov; Constantin A. Rothkopf; Stefan Roth 001 (CVPR, 2019)

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. - Junhwa Hur; Stefan Roth 001 (CVPR, 2019)

Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. - Anne S. Wannenwetsch; Martin Kiefel; Peter V. Gehler; Stefan Roth 001 (GCPR, 2019)

Deep Video Deblurring: The Devil is in the Details. - Jochen Gast; Stefan Roth 001 (ICCV Workshops, 2019)

Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. - Shweta Mahajan; Teresa Botschen; Iryna Gurevych; Stefan Roth 001 (ICCV Workshops, 2019)

Markov Decision Process for Video Generation. - Vladyslav Yushchenko; Nikita Araslanov; Stefan Roth 001 (ICCV Workshops, 2019)

Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving. - Sascha Rosbach; Vinit James; Simon Großjohann; Silviu Homoceanu; Stefan Roth 001 (IROS, 2019)

CVPR19 Tracking and Detection Challenge: How crowded can it get? - Patrick Dendorfer; Seyed Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2019)

Single-Stage Semantic Segmentation From Image Labels. - Nikita Araslanov; Stefan Roth 001 (CVPR, 2020)

Normalizing Flows With Multi-Scale Autoregressive Priors. - Apratim Bhattacharyya; Shweta Mahajan; Mario Fritz; Bernt Schiele; Stefan Roth 001 (CVPR, 2020)

Self-Supervised Monocular Scene Flow Estimation. - Junhwa Hur; Stefan Roth 001 (CVPR, 2020)

Probabilistic Pixel-Adaptive Refinement Networks. - Anne S. Wannenwetsch; Stefan Roth 001 (CVPR, 2020)

Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. - Shweta Mahajan; Iryna Gurevych; Stefan Roth 001 (ICLR, 2020)

Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving. - Sascha Rosbach; Vinit James; Simon Großjohann; Silviu Homoceanu; Xing Li; Stefan Roth 001 (ICRA, 2020)

Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning. - Sascha Rosbach; Xing Li; Simon Großjohann; Silviu Homoceanu; Stefan Roth 001 (IROS, 2020)

Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. - Jiangxin Dong; Stefan Roth 001; Bernt Schiele (NeurIPS, 2020)

Diverse Image Captioning with Context-Object Split Latent Spaces. - Shweta Mahajan; Stefan Roth 001 (NeurIPS, 2020)

MOT20: A benchmark for multi object tracking in crowded scenes. - Patrick Dendorfer; Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2020)

Optical Flow Estimation in the Deep Learning Age. - Junhwa Hur; Stefan Roth 001 (CoRR, 2020)

LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery. - Wentong Liao; Xiang Chen; Jingfeng Yang; Stefan Roth 001; Michael Goesele; Michael Ying Yang; Bodo Rosenhahn (CoRR, 2020)

Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation. - Nikita Araslanov; Stefan Roth 001 (CVPR, 2021)

Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. - Jiangxin Dong; Stefan Roth 001; Bernt Schiele (CVPR, 2021)

Self-Supervised Multi-Frame Monocular Scene Flow. - Junhwa Hur; Stefan Roth 001 (CVPR, 2021)

Diverse Image Captioning with Grounded Style. - Franz Klein; Shweta Mahajan; Stefan Roth 001 (GCPR, 2021)

Sampling-Free Variational Inference for Neural Networks with Multiplicative Activation Noise. - Jannik Schmitt; Stefan Roth 001 (GCPR, 2021)

TxT: Crossmodal End-to-End Learning with Transformers. - Jan-Martin O. Steitz; Jonas Pfeiffer; Iryna Gurevych; Stefan Roth 001 (GCPR, 2021)

PixelPyramids: Exact Inference Models from Lossless Image Pyramids. - Shweta Mahajan; Stefan Roth 001 (ICCV, 2021)

Dense Unsupervised Learning for Video Segmentation. - Nikita Araslanov; Simone Schaub-Meyer; Stefan Roth 001 (NeurIPS, 2021)

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. - Dustin Carrión-Ojeda; Mahbubul Alam; Sergio Escalera; Ahmed K. Farahat; Dipanjan Ghosh; Maria Teresa Gonzalez Diaz; Chetan Gupta 001; Isabelle Guyon; Joël Roman Ky; Xian Yeow Lee; Xin Liu; Felix Mohr; et al. (NeurIPS (Competition and Demos), 2021)

Fast Axiomatic Attribution for Neural Networks. - Robin Hesse; Simone Schaub-Meyer; Stefan Roth 001 (NeurIPS, 2021)

Boosting Monocular Depth with Panoptic Segmentation Maps. - Faraz Saeedan; Stefan Roth 001 (WACV, 2021)

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. - Patrick Dendorfer; Aljosa Osep; Anton Milan; Konrad Schindler; Daniel Cremers; Ian Reid 001; Stefan Roth 001; Laura Leal-Taixé (Int. J. Comput. Vis., 2021)

xGQA: Cross-Lingual Visual Question Answering. - Jonas Pfeiffer; Gregor Geigle; Aishwarya Kamath; Jan-Martin O. Steitz; Stefan Roth 001; Ivan Vulic; Iryna Gurevych (ACL (Findings), 2022)

Efficient Feature Extraction for High-resolution Video Frame Interpolation. - Moritz Nottebaum; Stefan Roth 001; Simone Schaub-Meyer (BMVC, 2022)

$S^2$-Flow: Joint Semantic and Style Editing of Facial Images. - Krishnakant Singh; Simone Schaub-Meyer; Stefan Roth 001 (BMVC, 2022)

S2-Flow: Joint Semantic and Style Editing of Facial Images. - Krishnakant Singh; Simone Schaub-Meyer; Stefan Roth 001 (CoRR, 2022)

DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring. - Jiangxin Dong; Stefan Roth 001; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Content-Adaptive Downsampling in Convolutional Neural Networks. - Robin Hesse; Simone Schaub-Meyer; Stefan Roth 001 (CVPR Workshops, 2023)

FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. - Robin Hesse; Simone Schaub-Meyer; Stefan Roth 001 (ICCV, 2023)

Vision Relation Transformer for Unbiased Scene Graph Generation. - Gopika Sudhakaran; Devendra Singh Dhami; Kristian Kersting; Stefan Roth 001 (ICCV, 2023)

Pixel State Value Network for Combined Prediction and Planning in Interactive Environments. - Sascha Rosbach; Stefan M. Leupold; Simon Großjohann; Stefan Roth 001 (CoRR, 2023)

Semantic Self-adaptation: Enhancing Generalization with a Single Sample. - Sherwin Bahmani; Oliver Hahn 001; Eduard Zamfir; Nikita Araslanov; Daniel Cremers; Stefan Roth 001 (Trans. Mach. Learn. Res., 2023)

A Perspective on Deep Vision Performance with Standard Image and Video Codecs. - Christoph Reich; Oliver Hahn 001; Daniel Cremers; Stefan Roth 001; Biplob Debnath (CVPR Workshops, 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 001 (CVPR Workshops, 2024)

Adapters Strike Back. - Jan-Martin O. Steitz; Stefan Roth 001 (CVPR, 2024)

DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning. - Tobias Lingenberg; Markus Reuter; Gopika Sudhakaran; Dominik Gojny; Stefan Roth 001; Simone Schaub-Meyer (GCPR (1), 2024)

Benchmarking the Attribution Quality of Vision Models. - Robin Hesse; Simone Schaub-Meyer; Stefan Roth 001 (NeurIPS, 2024)

Guided Latent Slot Diffusion for Object-Centric Learning. - Krishnakant Singh; Simone Schaub-Meyer; Stefan Roth 001 (CoRR, 2024)

DIAGen: Diverse Image Augmentation with Generative Models. - Tobias Lingenberg; Markus Reuter; Gopika Sudhakaran; Dominik Gojny; Stefan Roth 001; Simone Schaub-Meyer (CoRR, 2024)

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. - Oliver Hahn 001; Nikita Araslanov; Simone Schaub-Meyer; Stefan Roth 001 (Trans. Mach. Learn. Res., 2024)

Scene-Centric Unsupervised Panoptic Segmentation. - Oliver Hahn 001; Christoph Reich; Nikita Araslanov; Daniel Cremers; Christian Rupprecht 001; Stefan Roth 001 (CVPR, 2025)

Disentangling Polysemantic Channels in Convolutional Neural Networks. - Robin Hesse; Jonas Fischer; Simone Schaub-Meyer; Stefan Roth 001 (CVPR Workshops, 2025)

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning. - Krishnakant Singh; Simone Schaub-Meyer; Stefan Roth 001 (CVPR, 2025)

Beyond Accuracy: What Matters in Designing Well-Behaved Models? - Robin Hesse; Dogukan Bagci; Bernt Schiele; Simone Schaub-Meyer; Stefan Roth 001 (CoRR, 2025)

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model. - Jannik Endres; Oliver Hahn 001; Charles Corbière; Simone Schaub-Meyer; Stefan Roth 001; Alexandre Alahi (CoRR, 2025)

Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion. - Aleksandar Jevtic; Christoph Reich; Felix Wimbauer; Oliver Hahn 001; Christian Rupprecht 001; Stefan Roth 001; Daniel Cremers (CoRR, 2025)

ART: Adaptive Relation Tuning for Generalized Relation Prediction. - Gopika Sudhakaran; Hikaru Shindo; Patrick Schramowski; Simone Schaub-Meyer; Kristian Kersting; Stefan Roth 001 (CoRR, 2025)

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation. - Dustin Carrión-Ojeda; Stefan Roth 001; Simone Schaub-Meyer (CoRR, 2025)