Charlie Couverture

2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Charlie Couverture trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)
  2. Bill Triggs (in Computer Vision and Pattern Recognition)

Papers from Charlie Couverture's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Probabilistic Latent Semantic Analysis
  3. Creating efficient codebooks for visual recognition (Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1)
  4. Shape distributions
  5. Histograms of oriented gradients for human detection
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Combined Object Categorization and Segmentation With an Implicit Shape Model
  8. ImageNet: A large-scale hierarchical image database
  9. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  10. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

Their papers