Sébastien Eskenazi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Eskenazi trusts overall

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

  1. Anne Treisman
  2. Serge J. Belongie
  3. Garry A. Gelade
  4. Jitendra Malik
  5. George Nagy

Papers from Sébastien Eskenazi's perspective

Ordered by how strongly the researchers Sébastien Eskenazi 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. ImageNet: A large-scale hierarchical image database
  5. Shape Matching and Object Recognition Using Shape Contexts
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers