Yann Gousseau

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 5 papers; trusts 164 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yann Gousseau trusts overall

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

  1. Krystian Mikolajczyk
  2. David G. Lowe
  3. Kaiming He
  4. Cordelia Schmid
  5. Lorenzo Bruzzone
  6. Geoffrey E. Hinton
  7. Sergey Zagoruyko
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Yann Gousseau overall

  1. Yuxing Chen
  2. Fan Hu
  3. Gui-Song Xia
  4. Zhenwei Shi
  5. Rodrigo Caye Daudt
  6. Cui Zhang

Papers from Yann Gousseau's perspective

Ordered by how strongly the researchers Yann Gousseau 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Going deeper with convolutions

Their papers