Caifeng Shan

Computer Vision and Pattern Recognition · Image and Vision Computing · 2005–2020

A researcher in the Science corpus: 5 papers; trusts 253 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Caifeng Shan trusts overall

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

  1. Paul A. Viola
  2. Maja Pantic
  3. Timo Ojala
  4. Vladimir Naumovich Vapnik
  5. Takeo Kanade
  6. Robert E. Schapire
  7. Matti Pietikäinen
  8. Peter N. Belhumeur
  9. M. Bartlett
  10. Yoav Freund

Who trusts Caifeng Shan overall

  1. Gil Levi
  2. Shan Li
  3. S. Happy
  4. Tal Hassner
  5. Jordi Mansanet
  6. Grigory Antipov
  7. Weihong Deng
  8. Kai-Hong Wang
  9. Ali Mollahosseini
  10. Taskeed Jabid

Papers from Caifeng Shan's perspective

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

Their papers