Hsuan-Kung Yang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 235 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hsuan-Kung Yang trusts overall

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

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

Who trusts Hsuan-Kung Yang overall

  1. Thomas Verelst

Papers from Hsuan-Kung Yang's perspective

Ordered by how strongly the researchers Hsuan-Kung Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers