Publications: Multiple papers published in conferences such as ICCV 2025, ICCVW 2025, CVPR 2025, IROS 2025, TMLR 2024, CVPRW 2024, and TMLR 2023. 'Scene-Centric Unsupervised Panoptic Segmentation' was selected as a highlight paper at CVPR 2025; 'A Perspective on Deep Vision Performance with Standard Image and Video Codecs' won the Best Student Paper Award at the CVPR 2024 AIS Workshop.
Research Experience
Current Position: ELLIS PhD student at the Visual Inference Lab of Technical University of Darmstadt, supervised by Stefan Roth and co-supervised by Laura Leal-Taixé (NVIDIA). Collaborated closely with Nikita Araslanov, Simone Schaub-Meyer, Christian Rupprecht, and Daniel Cremers. Teaching Assistant for Computer Vision I (Fall 2022) and Computer Architecture (Spring 2024).
Education
Master's Degrees: Computational Engineering (with a focus on deep learning and computer vision), Mechanical Engineering, both from TU Darmstadt.
Background
Research Interests: Machine learning and computer vision, especially unsupervised scene understanding. Professional Field: Deep learning, computer vision.