Quan Yuan

Computer Vision and Pattern Recognition · with Alon · 2009

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Quan Yuan trusts overall

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

  1. Frederick Jelinek
  2. Trevor Darrell
  3. Paul A. Viola
  4. Michael J. Jones
  5. Aaron F. Bobick

Who trusts Quan Yuan overall

  1. Narayanan Chatapuram Krishnan

Papers from Quan Yuan's perspective

Ordered by how strongly the researchers Quan Yuan 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. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  4. Neural network-based face detection
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers