Scholar
Fredrik Kahl
Google Scholar ID: P_w6UgMAAAAJ
Professor, Chalmers University of Technology
Citations & Impact
Citations
4,426
H-index
30
i10-index
72
Publications
20
Co-authors
44
list available
Publications
Resume (English only)
Academic Achievements
- Published papers in top international conferences such as ICCV, ICML, CVPR; Served as Area Chair for ICCV 2025, CVPR 2025, and NeurIPS 2024; Involved in multiple research projects like R3D2, ProHoc, and collaborations with Zenseact, UC Berkeley, etc.; Received ERC-funded project GlobalVision (2008-2013).
Research Experience
- Current professor at Chalmers University of Technology, leading the Computer Vision Group; Previously a professor at the Department of Mathematics, Lund University (2006-2018).
Education
- PhD: Lund University, supervised by Profs. Anders Heyden and Gunnar Sparr (1997-2001); Postdoc: Department of Computer Science, University of California San Diego (2005-2006), Australian National University (2004-2005).
Background
- An applied mathematician interested in geometry, optimization, computer vision, and machine learning, particularly geometric deep learning. Current interests include equivariance, diffusion models, and explainability for applications in medicine, physics, and 3D scene perception.
Miscellany
- Personal interests and hobbies not specifically mentioned; Erdös number is 4.
