Tamy Boubekeur

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Tamy Boubekeur trusts overall

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

  1. David G. Lowe
  2. Josef Sivic
  3. John F. Canny
  4. Andrew Zisserman
  5. Aude Oliva
  6. Bernhard Schölkopf
  7. Antonio Torralba
  8. Herv'e J'egou
  9. E.J. Candes
  10. Geoffrey E. Hinton

Who trusts Tamy Boubekeur overall

  1. Ming-Ming Cheng
  2. Mathias Eitz
  3. Rui Hu

Papers from Tamy Boubekeur's perspective

Ordered by how strongly the researchers Tamy Boubekeur 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Histograms of oriented gradients for human detection
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers