Xin Tao

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 681 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Tao trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Karen Simonyan
  8. Yann LeCun
  9. Xavier Glorot
  10. Ross B. Girshick

Who trusts Xin Tao overall

  1. Kaihao Zhang
  2. Syed Waqas Zamir
  3. Jingyun Liang
  4. Xintao Wang
  5. Simon Niklaus
  6. Fu-Jen Tsai
  7. Yi Wang
  8. Hongyun Gao
  9. Dongwei Ren
  10. Kai Zhang

Papers from Xin Tao's perspective

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

Their papers