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.

Email / CV / Google Scholar / Linked In

Research

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 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 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.

Teaching Assistant

COMP 4901J: Deep Learning in Computer Vision (Spring 2019)
COMP 3031: Principle of Programming Languages (Fall 2019)

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

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