Schaub-Meyer, Simone

13 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

CVPRW 2025 Disentangling Polysemantic Channels in Convolutional Neural Networks Robin Hesse, Jonas Fischer, Simone Schaub-Meyer, Stefan Roth

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

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

ICML 2023 Entropy-Driven Unsupervised Keypoint Representation Learning in Videos Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki

ICCV 2023 FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse, Simone Schaub-Meyer, 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