Weikang Wang (王伟康)

I am now 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. My research interests including multiple topics in 3d vision (reconstruction, pose estimation, sparse structure inference, etc.) and shape analysis.

Before that, I was an academic visiting student at Department of Computer Science and Technology of University of Science and Technology of China, supervised by Prof. Wang S. F. and Prof. Chen E. H., concentrating on researches of human expression between April 2019 to September 2021.

I completed my Master of Science degree in Electrical Engineering of Columbia University. Before that, I got my Bachelor of Engineering degree in Automation with distiction from Beihang University, supervised by Prof. Zhang B. C..

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Most of my researches lie in 3D reconstruction, geometry-based and graph-based 3D inference and 3D-related generative models.

[page] [paper]

An unsupervised method to extract chirality (left/right) information from vertex-based 3D shape features.

[page] [paper]

A generic and flexible framework for the procedural generation of challenging partial shape matching scenarios.

[page] [paper]

An unsupervised 3D keypoints and edges based structure inference framework from category-specific image collections with broad category labels.

[code] [paper]

A Micro-expression recognition framework, which uses Macro-expression datasets to get better results.

[code] [paper]

A new multiple UVAs' tracking and searching algorithm, based on ideas from Quantum mechanics.

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Last Updated: 07/2025