Weikang Wang

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. My research interests including 3d reconstruction (geometry and graph based) and 3D-related generative models.

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 computer vision and machine learning between June 2019 to July 2020.

I completed my Master of Science degree in Electrical Engineering of Columbia University, where I have been lucky worked with Prof. John Wright, Prof. Li C. and Prof. Zoran Kostic. 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.

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

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

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

A new type of autoclaved aerated concrete (ACC) was developed using coal gangue (CGC) and iron ore tailings (ITOs).

Revised from this awesome website
Last Updated: 10/2020