Jean-François Aujol

Computer Vision and Pattern Recognition · 2005–2015

A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-François Aujol trusts overall

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

  1. Antonin Chambolle
  2. Stanley J. Osher
  3. Stéphane Mallat
  4. Yves Meyer
  5. Luminita A. Vese
  6. David G. Lowe
  7. David L. Donoho
  8. Nathan Silberman
  9. Jamie Shotton
  10. Bernard Walter Silverman

Who trusts Jean-François Aujol overall

  1. Patrick L. Combettes
  2. Guy Gilboa
  3. Stanley J. Osher
  4. Xavier Bresson
  5. Tom Goldstein
  6. Christopher Zach
  7. Gilles Aubert
  8. Jean-Christophe Pesquet
  9. A. Buades
  10. Thomas Pock

Papers from Jean-François Aujol's perspective

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

Their papers