Yang Liu

Computer Vision and Pattern Recognition · with Dave · 2021

A researcher in the Science corpus: 1 paper; trusts 143 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Liu trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Pedro F. Felzenszwalb
  10. Karen Simonyan

Papers from Yang Liu's perspective

Ordered by how strongly the researchers Yang Liu 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers