Chao Li

Computer Vision and Pattern Recognition · with Yao · 2022

A researcher in the Science corpus: 1 paper; trusts 355 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Li trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Shaoqing Ren
  7. Ilya Sutskever
  8. Tsung-Yi Lin
  9. X. Zhang
  10. Yoshua Bengio

Papers from Chao Li's perspective

Ordered by how strongly the researchers Chao 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers