Angela Eigenstetter

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Angela Eigenstetter trusts overall

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

  1. Navneet Dalal
  2. Ariadna Quattoni
  3. Svetlana Lazebnik
  4. Megha Pandey
  5. Antonio Torralba
  6. Mark Everingham
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Jitendra Malik
  10. Andrew Zisserman

Papers from Angela Eigenstetter's perspective

Ordered by how strongly the researchers Angela Eigenstetter 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers