Oliver Hahn

I am an ELLIS PhD student in the Visual Inference Lab at the Technical University of Darmstadt, supervised by Stefan Roth and co-supervised by Laura Leal-Taixé (NVIDIA). My research focuses on unsupervised visual scene understanding. I am also fortunate to collaborate closely with Nikita Araslanov, Simone Schaub-Meyer, Christian Rupprecht, and Daniel Cremers.

Profile photo of Oliver Hahn

Previously, I received a master's degree in Computational Engineering with a focus on deep learning and computer vision, as well as a master's degree in Mechanical Engineering, both from TU Darmstadt.

News
Mar 26 I joined NVIDIA's Dynamic Vision and Learning Group as a Research Scientist Intern!
Feb 26 "Scene-Centric Unsupervised Video Panoptic Segmentation" got accepted to CVPR 2026.
Jul 25 3 papers accepted! DFI-OmniStereo at IROS, MR-DINOSAUR at ICCVW, and SceneDINO at ICCV.
Mar 25 "Scene-Centric Unsupervised Panoptic Segmentation" got accepted as a CVPR 2025 Highlight paper!
Sep 24 Our paper "Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals" got accepted at TMLR.
Research
I am interested in machine learning and computer vision, especially unsupervised scene understanding.
First author publications highlighted. Hover projects for animation.
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
Aleksandar Jevtić*, Christoph Reich*, Felix Wimbauer, Oliver Hahn, Christian Rupprecht, Stefan Roth, Daniel Cremers
ICCV 2025
Paper | Project Page | Code
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
Xinrui Gong*, Oliver Hahn*, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers Stefan Roth
ICCVW 2025 (Oral at ILR+G Workshop)
Paper | Code
CUPS unsupervised panoptic segmentation visualization Scene-Centric Unsupervised Panoptic Segmentation
Oliver Hahn*, Christoph Reich*, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth
CVPR 2025 (Highlight)
Paper | Project Page | Video | Code
DFI-OmniStereo omnidirectional stereo matching visualization Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model
Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi
IROS 2025
Paper | Project Page | Code
PriMaPs unsupervised semantic segmentation visualization Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
TMLR 2024
Paper | Project Page | Code
Deep vision performance with standard codecs visualization A Perspective on Deep Vision Performance with Standard Image and Video Codecs
Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
CVPRW 2024 (Best Student Paper Award at AIS Workshop)
Paper
Semantic self-adaptation visualization Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani*, Oliver Hahn*, Eduard Zamfir*, Nikita Araslanov, Daniel Cremers, Stefan Roth
TMLR 2023
Paper | Video | Code
Academic Service

  • Reviewer: ECCV (since 2024), CVPR (since 2024, Outstanding Reviewer 2025), ICCV (since 2025), IROS (since 2025), TMLR (since 2024)
  • Teaching Assistant: Computer Vision I (Fall 2022), Computer Architecture (Spring 2024)

  • Website source code by Jon Barron.