Chen Wei
Computer Vision and Pattern Recognition · 2018–2023
A researcher in the Science corpus: 7 papers; trusts 736 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 230 citations into it; #5,634 of 21,575 by trust here, #4,926 by citations
- Artificial Intelligence — 174 citations into it; #31,984 of 35,345 by trust here, #9,870 by citations
- Representation & Self-Supervised Learning — 74 citations into it
- Model Architectures — 42 citations into it
- Optimization & Training — 39 citations into it
- Evaluation & Benchmarks — 27 citations into it
- Media Technology — 10 citations into it
- Electrical and Electronic Engineering — 9 citations into it
Whom Chen Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- David G. Lowe
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
Who trusts Chen Wei overall
- Wenhan Yang
- Yonghua Zhang
- Syed Waqas Zamir
- Chongyi Li
- Feifan Lv
- Jiaying Liu
- Chunle Guo
- Risheng Liu
- Zhenqi Fu
- Xiaojie Guo
Papers from Chen Wei's perspective
Ordered by how strongly the researchers Chen Wei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Masked Feature Prediction for Self-Supervised Visual Pre-Training (2021) — 867 citations
- iBOT: Image BERT Pre-Training with Online Tokenizer (2021) — 1,143 citations
- Deep Retinex Decomposition for Low-Light Enhancement (2018) — 2,652 citations
- Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles (2023) — 437 citations
- GLADNet: Low-Light Enhancement Network with Global Awareness (2018) — 331 citations
- CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning (2021) — 337 citations
- Image BERT Pre-training with Online Tokenizer (2022) — 296 citations