Song Fu

Computer Vision and Pattern Recognition · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Song Fu trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Ross B. Girshick
  4. Shaoqing Ren
  5. Geoffrey E. Hinton
  6. Karen Simonyan

Who trusts Song Fu overall

  1. Qi Chen
  2. Runsheng Xu

Papers from Song Fu's perspective

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

Their papers