About Me

I am a final year Ph.D. student in the Department of Computer Science at The University of Hong Kong, supervised by Prof. Kenneth K.Y. Wong. I was a research intern in Osaka University, Japan, supervised by Prof. Yasuyuki Matsushita from June to November in 2019.

My research interests are in computer vision and machine learning. Specifically, learning based methods for low-level vision, physics-based vision, 3D vision, etc.

News

Publications

Academic Journals

	Deep Photometric Stereo for Non-Lambertian Surfaces Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
	Learning Transparent Object Matting Guanying Chen*, Kai Han*, Kwan-Yee K. Wong (* indicates equal contribution) International Journal of Computer Vision (IJCV), 2019. [PDF] [arXiv] [DOI] [Project Page] [Code] [Supplementary]

Conference Proceedings

	What is Learned in Deep Uncalibrated Photometric Stereo? Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee K. Wong, Yasuyuki Matsushita European Conference on Computer Vision (ECCV), 2020.
	Self-calibrating Deep Photometric Stereo Networks Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Oral Presentation [PDF] [arXiv] [Project Page] [Code] [Supplementary] [Video] [Poster PDF / LaTex]
	PS-FCN: A Flexible Learning Framework for Photometric Stereo Guanying Chen, Kai Han, Kwan-Yee K. Wong European Conference on Computer Vision (ECCV), 2018. [PDF] [arXiv] [Project Page] [Code] [Video] [Poster PDF / LaTex]
	TOM-Net: Learning Transparent Object Matting from a Single Image Guanying Chen*, Kai Han*, Kwan-Yee K. Wong (* indicates equal contribution) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Spotlight Presentation [PDF] [arXiv] [Project Page] [Code] [Video] [Poster PDF / LaTex]

Professional Services

Awards

Links to friends