Chenyang Lei (雷晨阳)
Chenyang Lei is a third year Ph.D. student at the Hong Kong University of Science and Technology (HKUST), supervised by Qifeng Chen. He obtained his Bachelor's degree at Zhejiang University in 2018.
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Research
I'm interested in Low-level vision, Computational photography, Image and video synthesis, Image and video processing, and 3D vision.
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Blind Video Temporal Consistency via Deep Video Prior
Chenyang Lei*,
Yazhou Xing*,
Qifeng Chen
NeurIPS , 2020
arxiv /
code /
project website
Applying image processing algorithms independently to each video frame often leads to temporal inconsistency in the resulted video. To address this issue,
we present a novel and general approach for blind temporal video consistency.
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Video Depth Estimation by Fusing Flow-to-Depth Proposals
Jiaxin Xie,
Chenyang Lei,
Zhuwen Li,
Li Erran Li,
Qifeng Chen
IROS , 2020
arXiv /
code /
project website
We present an approach with a differentiable flowto-depth layer for video depth estimation.
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Polarized Reflection Removal with Perfect Alignment in the Wild
Chenyang Lei,
Xuhua Huang,
Mengdi Zhang,
Qiong Yan,
Wenxiu Sun,
Qifeng Chen
CVPR, 2020
arXiv /
code /
project website
Polarization information and perfect alignment are utilized to remove reflection accurately.
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Fully Automatic Video Colorization with Self Regularization and Diversity
Chenyang Lei,
Qifeng Chen
CVPR, 2019
project page /
video /
code
The first dedicated video colorization method without any user input.
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Honors and Awards
- SENG Academic Award for Continuing PhD students, HKUST, 2020
- National Scholarship, 2017
- Outstanding Graduate (Zhejiang University), 2018
- Texas Instruments Scholarship, 2017
- First-Class Scholarship for Outstanding Merits, 2017
- Excellent Student Award, 2016, 2017
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Services
- Program Committee/Reviewers: CVPR, IJCAI, IROS
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Teaching Assistant
- COMP 4901J: Deep Learning in Computer Vision (Spring 2019)
- COMP 3031: Principle of Programming Languages (Fall 2019)
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Thank Dr. Jon Barron for sharing the source code of his personal page.
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