Hui Li

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2018–2024

A researcher in the Science corpus: 10 papers; trusts 747 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Xiaojun Wu
  2. Jiayi Ma
  3. Yu Liu
  4. B. K. Shreyamsha Kumar
  5. Karen Simonyan
  6. Kaiming He
  7. Andrew Zisserman
  8. Xun Chen
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Who trusts Hui Li overall

  1. Xiaojun Wu
  2. Jiayi Ma
  3. Zixiang Zhao
  4. Xingchen Zhang
  5. Wei Tang
  6. Linfeng Tang
  7. Josef Kittler
  8. Xiao-Jun Wu
  9. Jinyuan Liu
  10. Han Xu

Papers from Hui Li's perspective

Ordered by how strongly the researchers Hui Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers