Scholar
Sebastian Koch
Google Scholar ID: hX7EOUkAAAAJ
University Ulm | Google
Citations & Impact
Citations
167
H-index
6
i10-index
6
Publications
9
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Outstanding Reviewer at CVPR 2025; Paper RelationField accepted at CVPR 2025; Gave a talk on Language-driven 3D Scene Graph prediction at the Huawei Munich Research Center; Accepted at the prestigious International Computer Vision Summer School ICVSS 2024; Paper Open3DSG accepted at CVPR 2024 and will be presented at the OpenSUN & SG2RL workshop; Paper SGRec3D accepted at WACV 2024; Paper Lang3DSG accepted at 3DV 2024; Workshop paper accepted at the SG2RL workshop held at ICCV 2023 in Paris; Follow-up paper to his master's thesis SyMFM6D accepted at RA-L.
Research Experience
- Google Student Researcher, working closely with Johanna Wald and Federico Tombari; Previously an industrial PhD student at the Bosch Center for AI; Worked as a research assistant in the Cognitive Systems lab, focusing on hardware-efficient remote sensing methods with Andreas Zell; Gained practical experience through multiple internships at Bosch, focusing on perception in robotics and autonomous driving.
Education
- PhD student at University Ulm, advised by Timo Ropinski; Master's degree in Computer Science from the University of Tübingen, master's thesis on multi-view and symmetry-aware 6D pose estimation, supervised by Andreas Geiger and Gerhard Neumann, in collaboration with BCAI; Bachelor's degree in Computer Science from DHBW Stuttgart.
Background
- Main research interest: 3D scene understanding and embodied AI, focusing on novel scene representations that include object semantics as well as information about object interactions and their relationships. Aims to enable robots to navigate and solve tasks more effectively by leveraging a detailed understanding of their environment.
Miscellany
- Contact information: Email, CV, GitHub, Google Scholar, LinkedIn, Twitter
Co-authors