Guanying Chen

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

★ 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