Reid B. Porter

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Reid B. Porter trusts overall

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

  1. Krystian Mikolajczyk
  2. David G. Lowe
  3. Dana H. Ballard
  4. Cordelia Schmid
  5. Vincent Lepetit

Who trusts Reid B. Porter overall

  1. Christian Forster
  2. Xingyu Jiang
  3. Jiayi Ma
  4. Jared Heinly
  5. Jiayuan Li
  6. Shinya Sumikura
  7. Ananth Ranganathan
  8. Xavier Sevillano
  9. Axel Barroso Laguna
  10. Y. Ono

Papers from Reid B. Porter's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers