Nathanael Perraudin

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 8 papers; trusts 153 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nathanael Perraudin trusts overall

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

  1. David I. Shuman
  2. Pierre Vandergheynst
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Aliaksei Sandryhaila
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Pascal Frossard
  10. David G. Lowe

Who trusts Nathanael Perraudin overall

  1. L. Zampieri
  2. Taco Cohen
  3. Michaël Defferrard
  4. Pierre Vandergheynst
  5. Maurice Weiler
  6. Jianheng Tang
  7. Ana Susnjara
  8. Antonio Ortega
  9. Bingbing Xu
  10. David I. Shuman

Papers from Nathanael Perraudin's perspective

Ordered by how strongly the researchers Nathanael Perraudin 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers