Published papers on MM-OR, 4D-OR, and ORacle, which were recognized by international conferences.
Research Experience
Involved in multiple research projects related to understanding surgical environments, such as MM-OR (a large multimodal operating room dataset), 4D-OR (semantic scene graphs for OR domain modeling), and ORacle (large vision-language models for holistic OR domain modeling). These works have been accepted by CVPR 2025, MICCAI 2022, and MICCAI 2024 respectively.
Background
PhD Student at TUM/CAMP. Research interests include Semantic Scene Graphs, 3D Computer Vision, Deep Learning, Surgery Understanding.