Liang Wan

Computer Vision and Pattern Recognition · with Feng · 2008–2022

A researcher in the Science corpus: 4 papers; trusts 229 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Wan trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yair Weiss
  6. Ross B. Girshick
  7. Andrew Zisserman
  8. Karen Simonyan
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Liang Wan overall

  1. Richard Zhang

Papers from Liang Wan's perspective

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

Their papers