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)

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)

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)