A. Mabrouk

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Mabrouk trusts overall

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

  1. David G. Lowe
  2. Ivan Laptev

Papers from A. Mabrouk's perspective

Ordered by how strongly the researchers A. Mabrouk 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. Going deeper with convolutions
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Histograms of oriented gradients for human detection
  9. Learning Multiple Layers of Features from Tiny Images
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers