Feiwu Yu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feiwu Yu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Leo J. Grady
  5. Alex Krizhevsky
  6. Yuri Boykov
  7. Yann LeCun
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Karen Simonyan

Papers from Feiwu Yu's perspective

Ordered by how strongly the researchers Feiwu Yu 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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