Chen Wei

I am a Computer Science Ph.D. student at Johns Hopkins University, where I am fortunate to be advised by Bloomberg Distinguished Professor Alan L. Yuille.

Before that, I received my B.S. in Computer Science from Peking University. I also spent great time at FAIR in Meta, Google, and Noah's Ark Lab.

My research focus is self-supervised learning for computer vision.

weichen3012 [at] gmail [dot] com  /  GitHub  /  Google Scholar

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[04/06/2023] Excited to release our new work on reformulating Diffusion Models as Masked Autoencoders.
[10/19/2022] Proud to be an ECCV 2022 outstanding reviewer.
[09/07/2022] Passed my Graduate Board Oral exam and now a PhD candidate :)
Diffusion Models as Masked Autoencoders
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan Yuille, Christoph Feichtenhofer
tech report , 2023
arXiv / project page
Masked Autoencoders Enable Efficient Knowledge Distillers
Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan Yuille, Yuyin Zhou, Cihang Xie
CVPR , 2023
arXiv / code
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen
ECCV , 2022
arXiv / code
In Defense of Image Pre-Training for Spatiotemporal Recognition
Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie
ECCV , 2022
arXiv / code

Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan Yuille, Christoph Feichtenhofer
CVPR , 2022
arXiv / code at pySlowFast
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong
ICLR , 2022
arXiv / code / press

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan Yuille, Fan Yang
CVPR , 2021
arXiv / code / poster / video

CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei, Huiyu Wang, Wei Shen, Alan Yuille
ICLR , 2021
arXiv / Open Review / video

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

Deep Retinex Decomposition for Low-Light Enhancement
Chen Wei*, Wenjing Wang*, Wenhan Yang, Jiaying Liu
BMVC, 2018, Oral
2nd most cited BMVC paper over the last five years
arXiv / code / project page & dataset

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

  • Student Researcher, Google Brain, Summer 2023
  • Research Intern, Facebook AI Research (Meta AI), Summer 2022
  • Research Intern, Facebook AI Research, Summer 2021
  • Research Intern, Google Cloud AI, Summer 2020
  • Research Intern, Johns Hopkins University, Summer 2018
  • Engineering Practium Intern, Google, Summer 2017
  • Research Intern, STRUCT Lab, Peking University, 2017 - 2019

Last update: Apr. 2023      Template