Yan Ke

Computer Vision and Pattern Recognition · Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 · 2004–2020

A researcher in the Science corpus: 6 papers; trusts 394 researchers and is trusted by 3,493 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Ke trusts overall

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

  1. David G. Lowe
  2. Ivan Laptev
  3. Paul A. Viola
  4. Krystian Mikolajczyk
  5. Andrew Zisserman
  6. Kah Kay Sung
  7. Eli Shechtman
  8. Cordelia Schmid
  9. Pedro F. Felzenszwalb
  10. Ian T. Jolliffe

Who trusts Yan Ke overall

  1. Herv'e J'egou
  2. Kristen Grauman
  3. Yi Yang
  4. Cordelia Schmid
  5. Andrew Zisserman
  6. Trevor Darrell
  7. Luc Van Gool
  8. Rahul Sukthankar
  9. Dacheng Tao
  10. Mubarak Shah

Papers from Yan Ke's perspective

Ordered by how strongly the researchers Yan Ke trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers