Chao Xiang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Xiang trusts overall

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

  1. Yury Malkov
  2. Franz Aurenhammer
  3. Sunil Arya
  4. Chanop Silpa-Anan
  5. Wei Dong
  6. Yair Weiss
  7. Aristides Gionis
  8. Olivier Beaumont
  9. Tiezheng Ge
  10. Jeff Johnson

Who trusts Chao Xiang overall

  1. Mengzhao Wang

Papers from Chao Xiang's perspective

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

Their papers