Wei Yang

Computer Vision and Pattern Recognition · with Wang · 2014–2021

A researcher in the Science corpus: 8 papers; trusts 1,061 researchers and is trusted by 127 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Yang trusts overall

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

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

Who trusts Wei Yang overall

  1. Bin Xiao
  2. Ke Sun
  3. Jingdong Wang
  4. Diogo Carbonera Luvizon
  5. Yucheng Chen
  6. Xiao Sun
  7. Tushar Nagarajan
  8. Feng Zhang
  9. Adrian Bulat
  10. Kristen Grauman

Papers from Wei Yang's perspective

Ordered by how strongly the researchers Wei 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. 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