Chiao Fu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chiao Fu trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Kaiming He
  4. Wenhan Yang
  5. Geoffrey E. Hinton
  6. Xueyang Fu
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Qifeng Chen

Papers from Chiao Fu's perspective

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

Their papers