Zhan Song

Computer Vision and Pattern Recognition · with Shao · 2011

A researcher in the Science corpus: 1 paper; trusts 213 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhan Song trusts overall

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

  1. David G. Lowe
  2. Paul A. Viola
  3. Helmut Grabner
  4. Navneet Dalal
  5. Andrew Zisserman
  6. Geoffrey E. Hinton
  7. Pedro F. Felzenszwalb
  8. Alex Krizhevsky
  9. Kaiming He
  10. Cordelia Schmid

Papers from Zhan Song's perspective

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

Their papers