Yuan Yao

Computer Vision and Pattern Recognition · with Fu · 2014

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Yao trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Kristen Grauman (in Computer Vision and Pattern Recognition)
  3. Devi Parikh (in Computer Vision and Pattern Recognition)
  4. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  5. Pietro Perona (in Computer Vision and Pattern Recognition)
  6. Antonio Torralba (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  9. Kaiming He (in Computer Vision and Pattern Recognition)
  10. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Yuan Yao's perspective

Ordered by how strongly the researchers Yuan Yao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers