Victor Cornillère

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Victor Cornillère trusts overall

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

  1. Diederik P. Kingma
  2. Kai Zhang
  3. Chao Dong
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Pablo Arbeláez
  9. Yoshua Bengio
  10. Tomer Michaeli

Who trusts Victor Cornillère overall

  1. Kai Zhang
  2. Honggang Chen
  3. Jingyun Liang

Papers from Victor Cornillère's perspective

Ordered by how strongly the researchers Victor Cornillère 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers