Xiaohu Shao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohu Shao trusts overall

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

  1. Elad Richardson
  2. Kaiming He
  3. Piotr Doll'ar
  4. Volker Blanz
  5. Thomas Vetter

Who trusts Xiaohu Shao overall

  1. Zitong Yu

Papers from Xiaohu Shao's perspective

Ordered by how strongly the researchers Xiaohu Shao 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. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers