Jean-Francois Lafleche

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-Francois Lafleche trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton

Papers from Jean-Francois Lafleche's perspective

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

Their papers