Xiaoming Tao

Computer Vision and Pattern Recognition · IEEE Journal on Selected Areas in Communications · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 197 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoming Tao trusts overall

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

  1. Diederik P. Kingma
  2. Huiqiang Xie
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Ian J. Goodfellow
  7. Yoshua Bengio
  8. Yann LeCun
  9. Zhijin Qin
  10. Sepp Hochreiter

Who trusts Xiaoming Tao overall

  1. Zhijin Qin

Papers from Xiaoming Tao's perspective

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

Their papers