Véronique Izard

Computer Vision and Pattern Recognition · 2004–2019

A researcher in the Science corpus: 5 papers; trusts 136 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Véronique Izard trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Manuela Piazza
  6. Philippe Pinel
  7. Fei Xu
  8. Individualized Treat
  9. Yoshua Bengio
  10. Rob Fergus

Who trusts Véronique Izard overall

  1. Stanislas Dehaene
  2. Manuela Piazza
  3. Elizabeth S. Spelke
  4. Peter Carruthers
  5. Rafael E. Núñez
  6. Justin Halberda
  7. Jessica F. Cantlon
  8. Stella F. Lourenco
  9. Edward M. Hubbard

Papers from Véronique Izard's perspective

Ordered by how strongly the researchers Véronique Izard 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. ImageNet Large Scale Visual Recognition Challenge
  4. GENERATIVE ADVERSARIAL NETS
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers