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.

News

[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 :)

Publications

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