Benoit Huet

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benoit Huet trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Jörg Tiedemann
  4. Maja Popovic
  5. Shaoqing Ren
  6. Christian Szegedy
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Piotr Doll'ar
  10. Tsung-Yi Lin

Papers from Benoit Huet's perspective

Ordered by how strongly the researchers Benoit Huet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Going deeper with convolutions
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Microsoft COCO: Common Objects in Context
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers