Philip Sun

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Sun trusts overall

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

  1. Kaiming He
  2. Artem Babenko
  3. Geoffrey E. Hinton
  4. David G. Lowe
  5. Alex Krizhevsky
  6. Jason Aaron Edward Weston
  7. Yoshua Bengio
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Victor S. Lempitsky

Who trusts Philip Sun overall

  1. Luyu Gao
  2. Wenhu Chen
  3. Jamie Callan
  4. Kalpesh Krishna
  5. Panupong Pasupat
  6. Junxian He
  7. Ikuya Yamada
  8. Jialu Liu

Papers from Philip Sun's perspective

Ordered by how strongly the researchers Philip Sun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers