CHEN, Guanying
Research Assistant Professor

Education Background
PhD (The University of Hong Kong)
B.Eng (Sun Yat-sen University)
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Research Field
Computer Vision, Machine Learning, Computer Graphics
Personal Website
https://guanyingc.github.io/
Email
chenguanying@cuhk.edu.cn
Biography
Dr. Guanying Chen received his PhD degree in Computer Science from The University of Hong Kong, and his B.Eng degree in Sun Yat-sen University. Before joining CUHK-SZ, he worked on computer vision research at Baidu. During his PhD study, he had internship/visiting experiences in Alibaba DAMO Academy, Osaka University, and SenseTime. His research focuses on 3D vision, physics based vision, and low-level vision. His work has been published in top-tier venues in relevant fields, such as TPAMI, IJCV, CVPR, ICCV, and ECCV. He serves as the regular reviewer for serveral international journals and conferences. He is also the recipient of 2021 Baidu Global Top 100 Chinese Rising Stars in AI (https://mp.weixin.qq.com/s/v7ITiZXOJiDUbPlRlcqQRA).

Academic Publications
[1] Guanying Chen, Chaofeng Chen, Shi Guo, Zhetong Liang, Kwan-Yee K. Wong, Lei Zhang, "HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset", International Conference on Computer Vision (ICCV), 2021.
[2] Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong, "Deep Photometric Stereo for Non-Lambertian Surfaces", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[3] Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee K. Wong, Yasuyuki Matsushita, "What is Learned in Deep Uncalibrated Photometric Stereo?", European Conference on Computer Vision (ECCV), 2020.
[4] Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong, "Self-calibrating Deep Photometric Stereo Networks", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral Presentation).
[5] Guanying Chen*, Kai Han*, Kwan-Yee K. Wong, "Learning Transparent Object Matting", International Journal of Computer Vision (IJCV), 2019. (* equal contribution).
[6] Guanying Chen, Kai Han, Kwan-Yee K. Wong, "PS-FCN: A Flexible Learning Framework for Photometric Stereo", European Conference on Computer Vision (ECCV), 2018.
[7] Guanying Chen*, Kai Han*, Kwan-Yee K. Wong, "TOM-Net: Learning Transparent Object Matting from a Single Image", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight Presentation). (* equal contribution).