Yi Fang

Computer Vision and Pattern Recognition · with Shen · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Fang trusts overall

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

  1. Diederik P. Kingma
  2. Keith Rayner
  3. Manuel Jesús Marín-Jiménez
  4. Eunji Chong
  5. Andrew Zisserman
  6. Nataniel Ruiz
  7. Adrian Bulat
  8. Jimmy Ba
  9. Geoffrey E. Hinton
  10. Clément Godard

Papers from Yi Fang's perspective

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

Their papers