Oliver Hahn

I am a PhD student in computer vision at the Visual Inference Lab in Technical University of Darmstadt. Supervised by Prof. Stefan Roth my research focuses on unsupervised visual scene understanding.

I received a master's degree in Computational Engineering with a focus on deep learning and computer vision. At the Visual Inference Lab I conducted research on multimodal learning as well as on semantic scene understanding with limited supervision, advised by Shweta Mahajan, Nikita Araslanov and Prof. Stefan Roth. Previously, I obtained a master's degree in Mechanical Engineering from TU Darmstadt.


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News
Mar 25 Our paper "Scene-Centric Unsupervised Panoptic Segmentation" got accepted at CVPR 2025!
Sep 24 Our paper "Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals" got accepted at TMLR.
Jul 24 I will be attending the International Computer Vision Summer School (ICVSS) 2024!
Jun 24 Our paper "A Perspective on Deep Vision Performance with Standard Image and Video Codecs" won the best student paper award @ AIS Workshop (CVPR 2024).
Jun 23 Our paper "Semantic Self-adaptation: Enhancing Generalization with a Single Sample" got accepted at TMLR.
Oct 22 I started as a PhD student with Prof. Stefan Roth at the Visual Inference Lab in Technical University of Darmstadt!
Research
I am interested in machine learning and computer vision, especially unsupervised scene understanding.
Scene-Centric Unsupervised Panoptic Segmentation
Oliver Hahn*, Christoph Reich*, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth,

CVPR 2025

coming soon
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model
Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi

Arxiv 2025

Paper | Project Page | Code
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth

TMLR 2024

Paper | Project Page | Code
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 @ AIS Workshop)

Paper
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, CVPR, ICCV, TMLR
  • Teaching Assistant: Computer Vision I (Fall 2022), Computer Architecture (Spring 2024)

  • Website source code by Jon Barron.