Katia Charrière

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Katia Charrière trusts overall

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

  1. Alex Krizhevsky
  2. Benjamin Graham
  3. Matthew D. Zeiler
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Rob Fergus
  8. Yoshua Bengio
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Katia Charrière overall

  1. Wojciech Samek

Papers from Katia Charrière's perspective

Ordered by how strongly the researchers Katia Charrière 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers