Le Zhang

Computer Vision and Pattern Recognition · with Cao · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 596 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Le Zhang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Yann LeCun
  9. Andrew Zisserman
  10. Diederik P. Kingma

Who trusts Le Zhang overall

  1. Faisal Mahmood
  2. Richard J. Chen
  3. Deng-Ping Fan
  4. Agnieszka Mikołajczyk

Papers from Le Zhang's perspective

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

Their papers