Geoff French

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 331 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Geoff French trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Ekin Dogus Cubuk
  8. Karen Simonyan
  9. Yann LeCun
  10. Quoc V. Le

Who trusts Geoff French overall

  1. Wilhelm Tranheden
  2. Viktor Olsson
  3. Lihe Yang
  4. Juliano Pinto
  5. Daiqing Li
  6. Lukas Hoyer
  7. Lennart Svensson
  8. Avital Oliver
  9. Shikun Liu
  10. Yanbei Chen

Papers from Geoff French's perspective

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

Their papers