Saïda Bouakaz

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Saïda Bouakaz trusts overall

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

  1. Michael S. Ryoo
  2. Meinard Müller
  3. Fengjun Lv
  4. James Martens
  5. Ilya Sutskever
  6. Daniel Weinland
  7. Shu-Fai Wong
  8. Paul Scovanner
  9. Moritz Tenorth
  10. Wanqing Li

Who trusts Saïda Bouakaz overall

  1. Liliana Lo Presti
  2. Félix G. Harvey
  3. Ioannis Kapsouras
  4. José Ramón Padilla-López
  5. Fei Han
  6. Judith Bütepage

Papers from Saïda Bouakaz's perspective

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

Their papers