Paul Scovanner

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 139 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Scovanner trusts overall

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

  1. David G. Lowe
  2. Matthew A. Brown
  3. Alper Yilmaz
  4. Svetlana Lazebnik
  5. Alexei A. Efros
  6. Yan Ke
  7. Stephen Se
  8. Juan Carlos Niebles
  9. Cordelia Schmid
  10. Lena Gorelick

Who trusts Paul Scovanner overall

  1. Du Tran
  2. Heng Wang
  3. Zhaofan Qiu
  4. Li Liu
  5. Alexander Kläser
  6. Michael S. Ryoo
  7. Ling Shao
  8. Dejing Xu
  9. Cordelia Schmid
  10. Simon Hadfield

Papers from Paul Scovanner's perspective

Ordered by how strongly the researchers Paul Scovanner 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers