Gareth Blake Loy

Computer Vision and Pattern Recognition · 2003–2006

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Gareth Blake Loy trusts overall

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

  1. David G. Lowe
  2. Krystian Mikolajczyk
  3. Yan Ke
  4. Cordelia Schmid
  5. Rahul Sukthankar
  6. Svetlana Lazebnik
  7. Andrew Zisserman
  8. Claudio M. Privitera
  9. Dana H. Ballard

Who trusts Gareth Blake Loy overall

  1. Andreas Møgelmose
  2. Hao Zhu
  3. Sicheng Zhao
  4. Eli Shechtman
  5. Dan Witzner Hansen
  6. Christopher Funk
  7. Heng Yang
  8. Yingying Zhu
  9. Azim Eskandarian
  10. Niloy J. Mitra

Papers from Gareth Blake Loy's perspective

Ordered by how strongly the researchers Gareth Blake Loy 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers