Anne Humeau-Heurtier

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 483 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anne Humeau-Heurtier trusts overall

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

  1. Madalena Costa
  2. Cordelia Schmid
  3. Li Liu
  4. Florent Perronnin
  5. Jianguo Zhang
  6. Svetlana Lazebnik
  7. Matti Pietikäinen
  8. Andrew Zisserman
  9. Joshua S. Richman
  10. Ville Ojansivu

Who trusts Anne Humeau-Heurtier overall

  1. Tam Pham

Papers from Anne Humeau-Heurtier's perspective

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

Their papers