Lionel Gueguen

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 366 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lionel Gueguen trusts overall

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

  1. Yi Yang
  2. Chih-Jen Lin
  3. Anil M. Cheriyadat
  4. E. Aptoula
  5. Cordelia Schmid
  6. Herv'e J'egou
  7. Krystian Mikolajczyk
  8. Kaiming He
  9. Corinna Cortes
  10. Alex Krizhevsky

Who trusts Lionel Gueguen overall

  1. Zequn Qin
  2. Monika Kuffer
  3. Dimitrios Marmanis
  4. Lucas Caccia

Papers from Lionel Gueguen's perspective

Ordered by how strongly the researchers Lionel Gueguen 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  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