Daniel Paul Barrett

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Paul Barrett trusts overall

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

  1. Ivan Laptev
  2. David G. Lowe
  3. Michael S. Ryoo
  4. Matthijs C. Dorst
  5. Navneet Dalal
  6. Minh Hoai Nguyen
  7. Piotr Doll'ar

Who trusts Daniel Paul Barrett overall

  1. Yu Kong
  2. De-An Huang

Papers from Daniel Paul Barrett's perspective

Ordered by how strongly the researchers Daniel Paul Barrett 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. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers