Yang He

Computer Vision and Pattern Recognition · with Akata · 2019

A researcher in the Science corpus: 1 paper; trusts 244 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yang He trusts overall

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

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

Who trusts Yang He overall

  1. Chong Zhou
  2. Golnaz Ghiasi
  3. Fabio Cermelli

Papers from Yang He's perspective

Ordered by how strongly the researchers Yang He 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers