Arnaud Benard

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 227 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Arnaud Benard trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Jianguo Zhang
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Jordi Pont-Tuset
  8. Bharath Hariharan
  9. Ross B. Girshick
  10. Sergi Caelles

Who trusts Arnaud Benard overall

  1. Soumajit Majumder
  2. Sabarinath Mahadevan
  3. Seonguk Seo
  4. Theodora Kontogianni
  5. Marco Forte
  6. Xingjiao Wu
  7. Angela Yao
  8. Paul Voigtlaender
  9. Joon-Young Lee
  10. Michael Gygli

Papers from Arnaud Benard's perspective

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

Their papers