Shirley J. Dyke

Computer Vision and Pattern Recognition · 2000–2015

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Shirley J. Dyke trusts overall

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

  1. John F. Canny
  2. Paul A. Viola
  3. Aaron Clauset
  4. Ming Yang
  5. David G. Lowe
  6. Jerome H. Friedman
  7. Michael J. Jones
  8. Mark Newman

Who trusts Shirley J. Dyke overall

  1. Silvano Erlicher
  2. Li Li
  3. M. Behrooz
  4. N. Point

Papers from Shirley J. Dyke's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Histograms of oriented gradients for human detection
  3. Object Detection with Discriminatively Trained Part Based Models
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers