Pu Sun

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pu Sun trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Yuezun Li
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. X. Zhang
  9. Andrew Zisserman
  10. François Chollet

Who trusts Pu Sun overall

  1. Brian Dolhansky

Papers from Pu Sun's perspective

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

Their papers