Nicolas Lecomte

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Lecomte trusts overall

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

  1. Ilya Sutskever
  2. Santiago Fernández
  3. Alex Graves

Papers from Nicolas Lecomte's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Deep Learning
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers