Chinchilla Doudou

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chinchilla Doudou trusts

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

  1. R. Fisher (in Statistical Learning Theory)
  2. David G. Lowe (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Chinchilla Doudou's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Learning a similarity metric discriminatively, with application to face verification
  4. Object recognition from local scale-invariant features
  5. Attribute and simile classifiers for face verification
  6. Signature Verification Using A "Siamese" Time Delay Neural Network
  7. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  8. Face recognition with learning-based descriptor (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
  9. Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification
  10. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

Their papers