Jing Li

Computer Vision and Pattern Recognition · with Allinson · 2008–2020

A researcher in the Science corpus: 2 papers; trusts 520 researchers and is trusted by 4 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. Cordelia Schmid
  2. Andrew Zisserman
  3. David G. Lowe
  4. Krystian Mikolajczyk
  5. Kaiming He
  6. Manik Varma
  7. Karen Simonyan
  8. Alex Krizhevsky
  9. Geoffrey E. Hinton
  10. Christian Szegedy

Who trusts Jing Li overall

  1. Christian Beecks
  2. Amin Sedaghat
  3. Smith K. Khare
  4. Mehdi Mokhtarzade
  5. Hamid Ebadi
  6. Jonathan P. Dandois

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. 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. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers