Tao Yang

Computer Vision and Pattern Recognition · with Ren · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 431 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Yang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Jonathan Ho
  7. Yann LeCun
  8. Karen Simonyan
  9. Christian Szegedy
  10. Ilya Sutskever

Who trusts Tao Yang overall

  1. Fanghua Yu
  2. X. Lin
  3. Jingwen He
  4. Jinjin Gu
  5. Peiran Ren
  6. Zheyuan Li
  7. Zi-Yuan Chen

Papers from Tao Yang's perspective

Ordered by how strongly the researchers Tao 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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