Guanying Chen   陈冠英
I am currently a Research Assistant Professor in School of Science and Engineering (SSE) and Future Network of Intelligence Institute (FNii) at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ).
I received my Ph.D. degree from the Department of Computer Science at The University of Hong Kong (HKU) in 2021.
Before that, I received my B.Eng from Sun Yat-sen University (SYSU).
My research interests are in computer vision and machine learning. Specifically, learning based methods for 3D vision, physics-based vision, low-level vision, etc.
Email  / 
CV  / 
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ORCID  / 
DBLP
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★ 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.
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News
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2022-07: |
Two papers are accepted by ECCV 2022, more details coming soon! |
2022-03: |
I have shared some experiences in preparing figures for a paper with python in python_plot_utils. |
2022-03: |
Two papers are accepted by CVPR 2022, more details coming soon! |
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. |
• Feb 2021 - Sep 2021 |
Working at Baidu Inc. |
• 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 assistant at Sun Yat-sen University working with Prof. Liang Lin. |
• Jul 2015 - Aug 2015 |
Research intern at The University of Hong Kong working with Prof. Kenneth K.Y. Wong. |
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PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo
Wenqi Yang,
Guanying Chen†,
Chaofeng Chen,
Zhenfang Chen,
Kwan-Yee K. Wong
European Conference on Computer Vision (ECCV), 2022.
arXiv /
Project Page
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Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes
Haolin Liu*,
Yujian Zheng*,
Guanying Chen,
Shuguang Cui,
Xiaoguang Han
European Conference on Computer Vision (ECCV), 2022.
arXiv /
Project Page
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JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction
Yukang Cao,
Guanying Chen,
Kai Han,
Wenqi Yang,
Kwan-Yee K. Wong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Presentation)
arXiv /
Project Page
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ETHSeg: An Amodel Instance Segmentation Network and a Real-world Dataset for X-Ray Waste Inspection
Lingteng Qiu,
Zhangyang Xiong,
Xuhao Wang,
KenKun Liu,
Yihan Li,
Guanying Chen,
Xiaoguang Han,
Shuguang Cui
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
PDF /
Project Page
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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
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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
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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
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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
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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
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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
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• Conference Reviewer / Program Committee:
• IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2019-
• International Conference on Computer Vision (ICCV): 2019-
• European Conference on Computer Vision (ECCV): 2020-
• Conference on Neural Information Processing Systems (NeurIPS): 2022-
• The International Conference on Learning Representations (ICLR): 2021-
• Association for the Advancement of Artificial Intelligence (AAAI): 2020-
• Journal Reviewer:
• International Journal of Computer Vision (IJCV)
• Pattern Recognition (PR)
• IEEE Robotics and Automation Letters (IEEE-RAL)
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• [2016 - 2017 Fall] COMP7404 Computational Intelligence and Machine Learning, Teaching Assistant (HKU)
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• Global Top 100 Chinese Rising Stars in Artificial Intelligence, Baidu Scholar (2021)
• 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)
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• Yuqi Zhang (PhD student starting from Sep. 2022)
• Co-supervised with Prof. Shuguang Cui
• B.E. and M.S. all with Nanjing University of Aeronautics and Astronautics
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• Yingbin Zhou (PhD student starting from Sep. 2022)
• Co-supervised with Prof. Shuguang Cui
• B.E. with Shantou University and M.S. with Sun Yat-sen University
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• Wenqi Yang, PhD student at HKU advised by Prof. Kwan-Yee K. Wong
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• Yukang Cao, PhD student at HKU advised by Prof. Kwan-Yee K. Wong
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• Lingteng Qiu, PhD student at CUHKSZ advised by Prof. Xiaoguang Han
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• Xiang Guo, PhD student at NPU advised by Prof. Yuchao Dai
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