Yajun Fang

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yajun Fang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  3. Ivan Laptev (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Karen Simonyan (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. David G. Lowe (in Computer Vision and Pattern Recognition)
  8. Kaiming He (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Yajun Fang's perspective

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

Their papers