Oliver Hahn

Short info

My research interests concern the field of visual scene understanding. More precisely, adaptive methods for scene understanding in video data.

I am working in the Visual Inference Lab under the supervision of Prof. Stefan Roth.

Open Science

Hahn, O., Araslanov, N., Schaub-Meyer, S., & Roth, S. (2024).
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals.
arXiv preprint2404.16818.

Articles

Bahmani, S., Hahn, O., Zamfir, E., Araslanov, N., Cremers, D., & Roth, S. (2022).
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. Transactions on Machine Learning Research (TMLR).

Endres, J., Hahn, O., Corbière, C., Schaub-Meyer, S., Roth, S., & Alahi, A. (2025).
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Hahn, O., Reich, C., Araslanov, N., Cremers, D., Rupprecht, C., & Roth, S. (2025).
Scene-Centric Unsupervised Panoptic Segmentation.
Proceedings of the Computer Vision and Pattern Recognition Conference, 24485-24495.

Jevtić, A., Reich, C., Wimbauer, F., Hahn, O., Rupprecht, C., Roth, S., & Cremers, D. (2025).
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion.
Proc. of the Twentieth IEEE International Conference on Computer Vision.

Jevtić, A., Reich, C., Wimbauer, F., Hahn, O., Rupprecht, C., Roth, S., & Cremers, D. (2025).
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion.
IEEE International Conference on Computer Vision (ICCV)