Xiaoliang Tan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoliang Tan trusts overall

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

  1. Geoffrey E. Hinton
  2. David G. Lowe
  3. Yi Yang
  4. Kaiming He
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Matthew D. Zeiler
  9. Richard S. Sutton
  10. Ilya Sutskever

Papers from Xiaoliang Tan's perspective

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

Their papers