Guanying Chen   陈冠英

I am currently a Research Assistant Professor at the Future Network of Intelligence Institute (FNii) and School of Science and Engineering (SSE) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).

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 visionw, neural rendering, low-level vision, etc. Representative papers are highlighted in the publications.

Email  /  CV  /  Github  /  Google Scholar  /  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.


News
2022-11: I have shared a latex template (paper+sup.+rebuttal) for CVPR/ICCV submission in Overleaf.
2022-09: One paper is accepted by NeurIPS 2022!
2022-07: Two papers are accepted by ECCV 2022!
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!
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.
Previous Experiences
• 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 and Prof. Boxin Shi.
• 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.
Publications (# corresponding author, * equal contribution)
Conference Proceedings
S3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
Wenqi Yang, Guanying Chen#, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong
Conference on Neural Information Processing Systems (NeurIPS), 2022.
arXiv / Project Page / Code

Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis
Xiang Guo*, Guanying Chen*, Yuchao Dai, Xiaoqing Ye, Jiadai Sun, Xiao Tan, Errui Ding
Asia Conference on Computer Vision (ACCV) 2022. (Oral Presentation)
PDF / Project Page / Code

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 / Code

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 / Code

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 / Code

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

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 / 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)
   • IEEE Transactions on Multimedia (TMM)
   • Pattern Recognition (PR)
   • IEEE Robotics and Automation Letters (IEEE-RAL)
Teaching Experiences
• [2016 - 2017 Fall] COMP7404 Computational Intelligence and Machine Learning, Teaching Assistant (HKU)
Awards
• 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)
Team Members
• 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
• 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
Current/Past Student Collaborators
Wenqi Yang, PhD student at HKU advised by Prof. Kwan-Yee K. Wong
Yukang Cao, PhD student at HKU advised by Prof. Kwan-Yee K. Wong
Lingteng Qiu, PhD student at CUHKSZ advised by Prof. Xiaoguang Han
Xiang Guo, PhD student at NPU advised by Prof. Yuchao Dai

Website adapted from Jon Barron