Julien Fauqueur

Computer Vision and Pattern Recognition · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 186 researchers and is trusted by 747 researchers here, as inferred from the citation graph.

Subfields

Whom Julien Fauqueur trusts overall

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

  1. Navneet Dalal
  2. Jamie Shotton
  3. Pedro F. Felzenszwalb
  4. Alexei A. Efros
  5. Li Fei-Fei
  6. John M. Winn
  7. Bill Triggs
  8. Andrew Zisserman
  9. Dorin Comaniciu
  10. David G. Lowe

Who trusts Julien Fauqueur overall

  1. Vijay Badrinarayanan
  2. Alex Kendall
  3. Roberto Cipolla
  4. Christian Häne
  5. Abhijit Kundu
  6. Wenguan Wang
  7. Fisher Yu
  8. Anand Mishra
  9. Peter Kontschieder
  10. Bike Chen

Papers from Julien Fauqueur's perspective

Ordered by how strongly the researchers Julien Fauqueur 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  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