Wang Weikang (王伟康) PhD student, Uni Bonn

I am currently a PhD student of the Learning and Optimisation for Visual Computing Group, in the institute of computer science II, at the University of Bonn, supervised by Professor Florian Bernard. I am also a member of the Lamarr Institute for Machine Learning and Artificial Intelligence.

Before that, I obtained the M.Sc. degree in Electrical Engineering of Columbia University, and B. Eng. degree in Automation with distiction from Beihang University.

My research interests is mainly related to object geometry analysis, pose estimation, shape analysis and geometry processing.

Note: I am actively looking for academic positions now!

News

  • 02/2026: One paper Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach has been accepted by CVPR 2026!

  • 11/2025: One paper Symmetry Informative and Agnostic Feature Disentanglement for 3D Shapes has been accepted by 3DV 2026!

  • 06/2025: One paper χ: Symmetry Understanding of 3D Shapes via Chirality Disentanglement has been accepted by ICCV 2025!

  • 05/2025: One paper Beyond Complete Shapes: A quantitative Evaluation of 3D Shape Matching Algorithms has been accepted by SGP 2025!

  • 02/2024: One paper Unsupervised 3D Structure Inference from Category-Specific Image Collections has been accepted by CVPR 2024!

  • 06/2021: I got the Chinese Scholarship Council Support!

  • 07/2020: Our paper Learning from Macro expressions: A Micro-expression Recognition Framework has been accepted by ACM Multimedia 2020!

  • Publications

    Loading publications...

    Academic Services

    Loading academic services...

    Research Experience

    Loading research experience...

    Education

    Loading education...