Chao-Yang Kao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao-Yang Kao trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Jia Deng
  5. Evan Shelhamer
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Gao Huang
  9. Michael Maire
  10. Ross B. Girshick

Who trusts Chao-Yang Kao overall

  1. Chien-Yao Wang

Papers from Chao-Yang Kao's perspective

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

Their papers