Alexandre Benoit

Computer Vision and Pattern Recognition · 2008–2018

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Alexandre Benoit trusts overall

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

  1. Geoffrey E. Hinton
  2. Pedro F. Felzenszwalb
  3. L. Eon Bottou
  4. Yoshua Bengio
  5. Vladimir Kolmogorov
  6. Ruslan Salakhutdinov
  7. Daniel Scharstein
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Kaiming He

Who trusts Alexandre Benoit overall

  1. Swalpa Kumar Roy
  2. Decebal Constantin Mocanu
  3. Anush K. Moorthy
  4. Che-Chun Su
  5. Ming-Jun Chen
  6. Stefan Winkler
  7. Nicolas Audebert
  8. Georgios Exarchakos
  9. A. Bovik

Papers from Alexandre Benoit's perspective

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

Their papers