Jing Li

Computer Vision and Pattern Recognition · with Du · 2021

A researcher in the Science corpus: 3 papers; trusts 419 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Li trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Liang-Chieh Chen
  6. Karen Simonyan
  7. Tsung-Yi Lin
  8. Yann LeCun
  9. Yoshua Bengio
  10. Christian Szegedy

Papers from Jing Li's perspective

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

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

Their papers