Yang Yang

Computer Vision and Pattern Recognition · with Liu · 2018

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

Subfields

Whom Yang Yang trusts overall

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

  1. Yong Du
  2. Geoffrey E. Hinton
  3. Christoph Feichtenhofer
  4. Raviteja Vemulapalli
  5. Andrew Zisserman

Papers from Yang Yang's perspective

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

Their papers