H. Cooper

Computer Vision and Pattern Recognition · with Bowden · 2011

A researcher in the Science corpus: 2 papers; trusts 153 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom H. Cooper trusts overall

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

  1. Eng-Jon Ong
  2. Vassilis Athitsos
  3. Pedro F. Felzenszwalb
  4. Ming-Hsuan Yang
  5. B. Stenger
  6. Deva Ramanan
  7. Lubomir D. Bourdev
  8. Navneet Dalal
  9. Richard Bowden
  10. Andrew Zisserman

Who trusts H. Cooper overall

  1. Feng Jiang
  2. Necati Cihan Camgöz
  3. Oscar Koller
  4. Shengping Zhang

Papers from H. Cooper's perspective

Ordered by how strongly the researchers H. Cooper 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Histograms of oriented gradients for human detection
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers