Song Liu

Computer Vision and Pattern Recognition · with Gao · 2016

A researcher in the Science corpus: 2 papers; trusts 162 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Song Liu trusts overall

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

  1. Pichao Wang
  2. Alex Krizhevsky
  3. Wanqing Li
  4. Xiaodong Yang
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Song Liu overall

  1. Pichao Wang
  2. Wanqing Li

Papers from Song Liu's perspective

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

Their papers