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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I'm interested in Low-level vision, Computational photography, Image and video synthesis, Image and video processing, and 3D vision.

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.

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.

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.

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.

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
  • Program Committee/Reviewers: CVPR, IJCAI, IROS
Teaching Assistant
  • COMP 4901J: Deep Learning in Computer Vision (Spring 2019)
  • COMP 3031: Principle of Programming Languages (Fall 2019)

Thank Dr. Jon Barron for sharing the source code of his personal page.

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