Phase-based frame interpolation for video. - Simone Meyer; Oliver Wang; Henning Zimmer; Max Grosse; Alexander Sorkine-Hornung (CVPR, 2015)

Phase-Based Modification Transfer for Video. - Simone Meyer; Alexander Sorkine-Hornung; Markus H. Gross (ECCV (3), 2016)

Deep Video Color Propagation. - Simone Meyer; Victor Cornillère; Abdelaziz Djelouah; Christopher Schroers; Markus H. Gross (BMVC, 2018)

PhaseNet for Video Frame Interpolation. - Simone Meyer; Abdelaziz Djelouah; Brian McWilliams; Alexander Sorkine-Hornung; Markus H. Gross; Christopher Schroers (CVPR, 2018)

Video Frame Interpolation and Editing with Implicit Motion Estimation. - Simone Schaub-Meyer (2018)

Neural Inter-Frame Compression for Video Coding. - Abdelaziz Djelouah; Joaquim Campos; Simone Schaub-Meyer; Christopher Schroers (ICCV, 2019)

Style Transfer for Keypoint Matching Under Adverse Conditions. - Ali Uzpak; Abdelaziz Djelouah; Simone Schaub-Meyer (3DV, 2020)

Simplifying the Process of Creating Augmented Outdoor Scenes. - Ribin Chalumattu; Simone Schaub-Meyer; Robin Wiethüchter; Severin Klingler; Markus Gross 001 (ICME Workshops, 2020)

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)

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)

News Globe: Visualization of Geolocalized News Articles. - Nicholas Ingulfsen; Simone Schaub-Meyer; Markus Gross 001; Tobias Günther (IEEE Computer Graphics and Applications, 2022)

An information-theoretic approach to unsupervised keypoint representation learning. - Ali Younes; Simone Schaub-Meyer; Georgia Chalvatzaki (CoRR, 2022)

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

Entropy-driven Unsupervised Keypoint Representation Learning in Videos. - Ali Younes; Simone Schaub-Meyer; Georgia Chalvatzaki (ICML, 2023)

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)

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)

The Challenges of Relighting from Multi-View Observations. - Daniel Siersleben; Rodrigo Ortiz Cayon; Klemen Istenic; Yusuke Tomoto; Simone Schaub-Meyer (MAM/MANER@ESGR, 2024)

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

Benchmarking Video Frame Interpolation. - Simon Kiefhaber 002; Simon Niklaus; Feng Liu 015; Simone Schaub-Meyer (CoRR, 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)

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)

Continual Learning Should Move Beyond Incremental Classification. - Rupert Mitchell; Antonio Alliegro; Raffaello Camoriano; Dustin Carrión-Ojeda; Antonio Carta; Georgia Chalvatzaki; Nikhil Churamani; Carlo D'Eramo; Samin Hamidi; Robin Hesse; Fabian Hinder; Roshni Kamath; et al. (CoRR, 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)

Knowledge Distillation for Multimodal Egocentric Action Recognition Robust to Missing Modalities. - Maria Santos-Villafranca; Dustin Carrión-Ojeda; Alejandro Pérez-Yus; Jesus Bermudez-Cameo; Josechu J. Guerrero; Simone Schaub-Meyer (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)