François Rousseau

Computer Vision and Pattern Recognition · Nature Physics · 2011–2019

A researcher in the Science corpus: 4 papers; trusts 231 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom François Rousseau trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. X. Zhang
  6. Geoffrey E. Hinton
  7. Xavier Glorot
  8. Shaoqing Ren
  9. Yann LeCun
  10. Jimmy Ba

Who trusts François Rousseau overall

  1. Juan Eugenio Iglesias
  2. José Vicente Manjón
  3. Christian Wachinger
  4. Jeremiah Zhe Liu
  5. Mert Rory Sabuncu
  6. Pierrick Coupé
  7. Martin Reuter
  8. Zi Lin

Papers from François Rousseau's perspective

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

Their papers