Joris Guerry

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joris Guerry trusts overall

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

  1. Karen Simonyan
  2. Alexandre Boulch
  3. Antonin Chambolle
  4. Alexandru Cristian Telea
  5. Kaiming He
  6. Jianxiong Xiao
  7. Andrew Zisserman
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Evan Shelhamer

Papers from Joris Guerry's perspective

Ordered by how strongly the researchers Joris Guerry 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers