Caroline Rougier

Computer Vision and Pattern Recognition · 2007–2011

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Caroline Rougier trusts overall

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

  1. John F. Canny
  2. Jitendra Malik
  3. Greg Mori
  4. Serge J. Belongie
  5. Liang Wang
  6. Stephen J. McKenna
  7. Norbert Noury
  8. Kyungnam Kim
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Caroline Rougier overall

  1. Muhammad Mubashir
  2. Raúl Igual
  3. Xueyi Wang
  4. Miao Yu
  5. Ling Shao
  6. Carlos Medrano
  7. Joshua Ellul
  8. Jean Meunier
  9. Nicholas Luke Seed
  10. Adel Rhuma

Papers from Caroline Rougier's perspective

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

Their papers