Boon Kee Low

Computer Vision and Pattern Recognition · 2001

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Boon Kee Low trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. R. Fisher
  3. John G. Daugman
  4. Zoubin Ghahramani
  5. Henry Schneiderman
  6. Kah Kay Sung
  7. Arthur P. Dempster
  8. Henry A. Rowley
  9. Takeo Kanade
  10. Geoffrey E. Hinton

Who trusts Boon Kee Low overall

  1. Chengjun Liu
  2. Christophe Garcia
  3. Hyeran Byun
  4. Zehang Sun
  5. Sven Behnke
  6. Harry Wechsler
  7. Manolis Delakis
  8. Seong-Whan Lee

Papers from Boon Kee Low's perspective

Ordered by how strongly the researchers Boon Kee Low 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Neural network-based face detection
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers