P. Koopman

Computer Vision and Pattern Recognition · 2003–2017

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom P. Koopman trusts overall

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

  1. Alex Krizhevsky
  2. Alexey Dosovitskiy
  3. Pedro M. Domingos
  4. Nassim Nicholas Taleb
  5. Les Gasser
  6. Roland Geraerts
  7. Matthew D. Zeiler
  8. Geoffrey E. Hinton
  9. David Silver
  10. Pedro F. Felzenszwalb

Who trusts P. Koopman overall

  1. Rasheed Hussain
  2. Robert R. Hoffman
  3. Sherali Zeadally
  4. Silverio Martínez-Fernández
  5. Steven L. Alter
  6. Rick Salay
  7. Evangelia Demerouti
  8. Kush R. Varshney
  9. Justus Bogner
  10. Shane T. Mueller

Papers from P. Koopman's perspective

Ordered by how strongly the researchers P. Koopman 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers