Gilles Puy

Computer Vision and Pattern Recognition · 2008–2020

A researcher in the Science corpus: 5 papers; trusts 573 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Gilles Puy trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yann LeCun
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Jeff Donahue
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Gilles Puy overall

  1. Valerio Marsocci
  2. Antonio Ortega

Papers from Gilles Puy's perspective

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

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

Their papers