Kui Fu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kui Fu trusts overall

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

  1. Wenguan Wang
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Laurent Itti
  6. Karen Simonyan
  7. X. Zhang
  8. Kaiming He
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Kui Fu overall

  1. Jianping Gou

Papers from Kui Fu's perspective

Ordered by how strongly the researchers Kui 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  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