Guanying Chen   陈冠英

I am currently a Research Assistant Professor in School of Science and Engineering at The Chinese University of Hong Kong (Shenzhen).

I had worked at Baidu from Feb 2021 to Sep 2021. I received my Ph.D. degree from the Department of Computer Science at The University of Hong Kong in 2021. Before that, I received my B.Eng from Sun Yat-sen University.

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

We are looking for PhD students, Research Assistants, and Visiting Students. Please send me an email with your resume if you are interested in working with me.

Email  /  Github  /  Google Scholar  /  ORCID

profile photo
News
2021-11: I have shared my experience in preparing a research paper with LaTex in latex_paper_writing_tips.
2021-07: One paper about HDR video reconstruction is accepted by ICCV 2021! Code and dataset are available.
2021-01: I have obtained my PhD degree from HKU! LaTex files for my PhD thesis can be found in Github.
Internship Experiences
Dec 2019 - Nov 2020 Research intern at Alibaba DAMO Academy working with Prof. Lei Zhang.
Jun 2019 - Nov 2019 Research intern at Osaka University working with Prof. Yasuyuki Matsushita.
Jun 2016 - Aug 2016 Research intern at SenseTime.
Jul 2015 - Aug 2015 Research intern at The University of Hong Kong working with Prof. Kenneth K.Y. Wong.
Conference Proceedings
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
Guanying Chen, Chaofeng Chen, Shi Guo, Zhetong Liang, Kwan-Yee K. Wong, Lei Zhang
International Conference on Computer Vision (ICCV), 2021.
arXiv / Project Page / Code / Dataset / Supplementary / Poster

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

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

Preprints
Deep Face Video Inpainting via UV Mapping
Wenqi Yang, Zhenfang Chen, Chaofeng Chen, Guanying Chen, Kwan-Yee K. Wong
arXiv 2021
PDF

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

Professional Services
Conference Reviewer: CVPR, ICCV, ECCV, ICLR, AAAI
Journal Reviewer: IJCV, IEEE-RAL, PR
Teaching Experiences
• [2016 - 2017 Fall] COMP7404 Computational Intelligence and Machine Learning, Teaching Assistant (HKU)
Awards
• M. Braun Postgraduate Prizes, HKU (2018-2019)
• Hong Kong and China Gas Company Limited Postgraduate Prize, HKU (2018-2019)
• University Postgraduate Fellowship (UPF), HKU (2016-2020)

Website adapted from Jon Barron