Guanying Chen

Guanying Chen 陈冠英

I am currently working at Baidu, Inc., where I work on computer visoin. I received my Ph.D. degree from the Department of Computer Science at The University of Hong Kong in 2021, advised by Prof. Kenneth K.Y. Wong. Before that I received my B.Eng from Sun Yat-sen University, China.

I had worked closely with Prof. Kai Han, Prof. Boxin Shi, Prof. Yasuyuki Matsushita, and Prof. Lei Zhang in the past few years.

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

Email / CV / Github / Google Scholar / LinkedIn

Research Experiences

Dec 2019 - Nov 2020:	Research intern at Alibaba DAMO Academy working with Prof. Lei Zhang.
June 2019 - Nov 2019:	Research intern at Osaka University working with Prof. Yasuyuki Matsushita.
June 2016 - Aug 2016:	Research intern at SenseTime.

News

- 2021-01: I have obtained my PhD degree from HKU! LaTex files for my PhD thesis can be found in Github!
- 2020-06: One paper about uncalibrated photometric stereo is accepted by ECCV 2020!

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
PDF / arXiv / DOI / Code (PS-FCN) / Code (LCNet) / Supplementary

Learning Transparent Object Matting
Guanying Chen*, Kai Han*, Kwan-Yee K. Wong (* 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. PDF / Project Page / Code / Video / Supplementary
	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
	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
	TOM-Net: Learning Transparent Object Matting from a Single Image Guanying Chen, Kai Han, Kwan-Yee K. Wong (* equal contribution) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 Spotlight Presentation PDF / arXiv / Project Page / Code / Video / Poster

PhD Dissertation

Single View Analysis of Non-Lambertian Objects Based on Deep Learning
Guanying Chen
The University of Hong Kong, Pokfulam, Hong Kong, 2020.
PDF / HKU Thesis Online / LaTex

Website adapted from Jon Barron