Song Cao

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 250 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Song Cao trusts overall

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

  1. Yunpeng Li
  2. Josef Sivic
  3. Torsten Sattler
  4. Andrew Zisserman
  5. J. Platt
  6. Tomasz Malisiewicz
  7. Relja Arandjelovi'c
  8. Noah Snavely
  9. David G. Lowe
  10. Alexei A. Efros

Who trusts Song Cao overall

  1. Tobias Weyand
  2. Torsten Sattler
  3. Paul Hongsuck Seo
  4. Konstantinos Rematas
  5. Jun Yu
  6. Dong Li
  7. Hyo Jin Kim
  8. Eric Brachmann
  9. Ilya Kostrikov
  10. Qunjie Zhou

Papers from Song Cao's perspective

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

Their papers