Han Yang

Computer Vision and Pattern Recognition · with Guo · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Han Yang trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Diederik P. Kingma
  6. Tim Salimans
  7. Zhou Wang
  8. Ting-Chun Wang
  9. Yoshua Bengio
  10. Andrew Zisserman

Who trusts Han Yang overall

  1. Seunghwan Choi

Papers from Han Yang's perspective

Ordered by how strongly the researchers Han Yang 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. 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. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers