Cong Fu

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cong Fu trusts overall

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

  1. Yury Malkov
  2. Franz Aurenhammer
  3. Herv'e J'egou
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Mikhail Belkin
  7. Matthijs Douze
  8. Wei Dong
  9. Sunil Arya
  10. Chanop Silpa-Anan

Who trusts Cong Fu overall

  1. David Chan
  2. Mengzhao Wang
  3. Cynthia Rudin
  4. Roshan Rao
  5. Xiaoliang Xu
  6. Zhi Chen

Papers from Cong Fu's perspective

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

Their papers