E. Zagrouba

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 E. Zagrouba trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from E. Zagrouba's perspective

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

Their papers