Hai Tao

Computer Vision and Pattern Recognition · 2001–2008

A researcher in the Science corpus: 5 papers; trusts 80 researchers and is trusted by 1,150 researchers here, as inferred from the citation graph.

Subfields

Whom Hai Tao trusts overall

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

  1. Yair Weiss
  2. Cordelia Schmid
  3. Arthur P. Dempster
  4. Dorin Comaniciu
  5. Niloofar Gheissari
  6. Edward H. Adelson
  7. David G. Lowe
  8. Rob Fergus
  9. Xin Li
  10. Andrew Zisserman

Who trusts Hai Tao overall

  1. Liang Zheng
  2. Xiaogang Wang
  3. Rui Zhao
  4. Wei Li
  5. Shaogang Gong
  6. Dong Yi
  7. Chi Su
  8. Wanli Ouyang
  9. Shengcai Liao
  10. Yi Yang

Papers from Hai Tao's perspective

Ordered by how strongly the researchers Hai Tao 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers