Paul A. Bromiley

Computer Vision and Pattern Recognition · 2015

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 Paul A. Bromiley trusts overall

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

  1. Dana H. Ballard
  2. Paul A. Viola
  3. Martin Köstinger

Who trusts Paul A. Bromiley overall

  1. Junjie Yan

Papers from Paul A. Bromiley's perspective

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

  1. Rapid object detection using a boosted cascade of simple features
  2. Efficient regression of general-activity human poses from depth images
  3. ImageNet classification with deep convolutional neural networks
  4. Generalizing the Hough transform to detect arbitrary shapes
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet: A large-scale hierarchical image database
  7. Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers