Shan Yang

Computer Vision and Pattern Recognition · with Arnab · 2021

A researcher in the Science corpus: 1 paper; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shan Yang trusts overall

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

  1. Andrew Zisserman
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Chen Sun
  8. Cordelia Schmid
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Shan Yang overall

  1. Rohit Girdhar

Papers from Shan Yang's perspective

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

Their papers