Jun Yang

Computer Vision and Pattern Recognition · with Hauptmann · 2007

A researcher in the Science corpus: 4 papers; trusts 167 researchers and is trusted by 820 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Yang trusts overall

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

  1. David G. Lowe
  2. Thorsten Joachims
  3. Krystian Mikolajczyk
  4. John C. Platt
  5. Yiming Yang
  6. C. Burges
  7. Cordelia Schmid
  8. Josef Sivic
  9. Andrew Zisserman
  10. James Franklin

Who trusts Jun Yang overall

  1. Judy Hoffman
  2. Kate Saenko
  3. Lixin Duan
  4. Trevor Darrell
  5. Charu C. Aggarwal
  6. Eric Tzeng
  7. Gabriella Csurka
  8. Jeff Donahue
  9. Jian Liang
  10. Ilja Kuzborskij

Papers from Jun Yang's perspective

Ordered by how strongly the researchers Jun Yang 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers