Ekaterina H. Spriggs

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Ekaterina H. Spriggs trusts overall

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

  1. Ling Bao
  2. Christian Schüldt
  3. Moshe Blank
  4. Jianxin Wu
  5. Jonathan Lester
  6. Jernej Barbic
  7. Tanzeem Choudhury
  8. Stephen S. Intille
  9. Ivan Laptev
  10. Aude Oliva

Who trusts Ekaterina H. Spriggs overall

  1. Alireza Fathi
  2. Antonino Furnari
  3. Yin Li
  4. Hilde Kuehne
  5. James M. Rehg
  6. Giovanni Maria Farinella
  7. Kristen Grauman
  8. Alexandros André Chaaraoui
  9. Thomas Serre
  10. Xiaofeng Ren

Papers from Ekaterina H. Spriggs's perspective

Ordered by how strongly the researchers Ekaterina H. Spriggs 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers