Emilie Dexter

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Emilie Dexter trusts overall

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

  1. Daniel Weinland
  2. Alper Yilmaz
  3. Eli Shechtman
  4. Navneet Dalal
  5. Mubarak Shah
  6. Ross Cutler
  7. Cen Rao
  8. Saad Ali
  9. Josh Tenenbaum
  10. Michal Irani

Who trusts Emilie Dexter overall

  1. Xiaogang Wang
  2. Jingjing Zheng
  3. Jia-geng Feng
  4. Hossein Rahmani
  5. Orit Kliper-Gross
  6. Binlong Li
  7. Jingen Liu
  8. Mubarak Shah

Papers from Emilie Dexter's perspective

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

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  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