Chen Wei

I am currently a first-year PhD student at Johns Hopkins University, where my advisor is Bloomberg Distinguished Professor Alan L. Yuille.

I received my B.S. from School of Electronics Engineering and Computer Science, Peking University. I was a research intern at STRUCT Team, Peking University, supervised by Prof. Jiaying Liu. I have spent time at the Noah's Ark Lab, where I worked with Dr. Lingxi Xie and Prof. Qi Tian. I have also spent time at Google as an intern.

weichen3012 [at] gmail [dot] com  /  CV  /  github  /  Google Scholar

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Research

My research area is computer vision. Recently, I focus on unsupervised visual representation learning and self-supervised learning. I am also interested in low-level vision topics including low-light enhancement and image super-resolution.

Iterative Reorganization with Weak Spatial Constraints:
Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning

Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan Yuille
CVPR, 2019
arXiv / code

Learning representations from unlabeled 2D/3D images by solving arbitrary jigsaw puzzles.

Deep Retinex Decomposition for Low-Light Enhancement
Chen Wei*, Wenjing Wang*, Wenhan Yang, Jiaying Liu
BMVC, 2018   (Oral Presentation)
arXiv / code / project page & dataset

Decomposing images into illumination and reflectance based on Retinex Model with deep networks to enhance low-light images.



GLADNet: Low-Light Enhancement Network with Global Awareness
Wenjing Wang*, Chen Wei*, Wenhan Yang, Jiaying Liu
FG Workshop, 2018
PDF / code / project page

Enhancing low-light images with global illumination awareness while preserving details.

Experience
  • Research Assistant, Johns Hopkins University, Autumn 2019 - Present
  • Research Intern, Johns Hopkins University, Summer 2018
  • Research Assistant, Peking University, Autumn 2017 - Spring 2019
  • Engineering Practium Intern, Google, Summer 2017

Last update: Sep. 2019      Template