A. B. Lee

Computer Vision and Pattern Recognition · 2004

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom A. B. Lee trusts overall

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

  1. Julian Besag
  2. Daniel L. Ruderman
  3. David L. Donoho
  4. Ann B. Lee
  5. D. Kersten
  6. Eero P. Simoncelli
  7. David Mumford
  8. Song-Chun Zhu
  9. Stuart Geman
  10. Martin J. Wainwright

Who trusts A. B. Lee overall

  1. A. Bovik
  2. Anush K. Moorthy
  3. Hamid R. Sheikh
  4. Anish Mittal
  5. Michele A. Saad
  6. Vlad Hosu

Papers from A. B. Lee's perspective

Ordered by how strongly the researchers A. B. Lee 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. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  4. Nonlinear dimensionality reduction by locally linear embedding.
  5. The "independent components" of natural scenes are edge filters.
  6. Gradient-based learning applied to document recognition
  7. The statistics of natural images
  8. Scale Mixtures of Gaussians and the Statistics of Natural Images
  9. A global geometric framework for nonlinear dimensionality reduction.
  10. ImageNet: A large-scale hierarchical image database

Their papers