Jérôme Thevenot

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jérôme Thevenot trusts overall

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

  1. Karen Simonyan

Who trusts Jérôme Thevenot overall

  1. Alexey A. Shvets
  2. Alexander Rakhlin
  3. Vladimir I. Iglovikov
  4. Alexandr A Kalinin

Papers from Jérôme Thevenot's perspective

Ordered by how strongly the researchers Jérôme Thevenot trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Recurrent Models of Visual Attention
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Learning Multiple Layers of Features from Tiny Images
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers