Jean Meunier

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 4 papers; trusts 388 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jean Meunier trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Yann LeCun
  7. Andrew Zisserman
  8. Andrew L. Maas
  9. Diederik P. Kingma
  10. Ross B. Girshick

Who trusts Jean Meunier overall

  1. Muhammad Mubashir
  2. Zhian Liu
  3. Mariana-Iuliana Georgescu
  4. Christos Davatzikos
  5. Brian B. Avants
  6. Raúl Igual
  7. Sarang C. Joshi
  8. Xueyi Wang
  9. Oliver C. Lyttelton
  10. Peter Mondrup Rasmussen

Papers from Jean Meunier's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers