Tao Yu

Computer Vision and Pattern Recognition · with Chen · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 263 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Yu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Marcelo Bertalmío
  5. Karen Simonyan
  6. Sergey Ioffe
  7. Diederik P. Kingma
  8. Ross B. Girshick
  9. Christian Szegedy
  10. Yoshua Bengio

Who trusts Tao Yu overall

  1. Shengyu Zhao
  2. Ziyi Lin

Papers from Tao Yu's perspective

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

Their papers