Nicolas Guizard

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Guizard trusts overall

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

  1. Yoshua Bengio
  2. John G. Sled
  3. Evan Shelhamer
  4. Geoffrey E. Hinton
  5. Ilya Sutskever

Who trusts Nicolas Guizard overall

  1. Guotai Wang
  2. Agisilaos Chartsias

Papers from Nicolas Guizard's perspective

Ordered by how strongly the researchers Nicolas Guizard 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. Dropout: a simple way to prevent neural networks from overfitting
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Fully convolutional networks for semantic segmentation

Their papers