Sébastien Lefèvre

Computer Vision and Pattern Recognition · 2007–2020

A researcher in the Science corpus: 5 papers; trusts 461 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Lefèvre trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Yann LeCun
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. X. Zhang

Who trusts Sébastien Lefèvre overall

  1. Alexandre Boulch
  2. Libo Wang
  3. Yuliya Tarabalka
  4. Yiming Sun
  5. Xiaohui Yuan
  6. Onur Tasar
  7. Bertrand Le Saux
  8. Danfeng Hong
  9. Rodrigo Caye Daudt
  10. Ava Vali

Papers from Sébastien Lefèvre's perspective

Ordered by how strongly the researchers Sébastien Lefèvre 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. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers