Amy Pavel

Computer Vision and Pattern Recognition · 2016

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

Subfields

Whom Amy Pavel trusts overall

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

  1. Antonio Torralba

Papers from Amy Pavel's perspective

Ordered by how strongly the researchers Amy Pavel 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. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  4. ImageNet: A large-scale hierarchical image database
  5. Learning to predict where humans look (IEEE International Conference on Computer Vision)
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers