Andrew F. Laine

Computer Vision and Pattern Recognition · 2008–2017

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew F. Laine trusts overall

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

  1. Karen Simonyan

Papers from Andrew F. Laine's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Deep Features for Discriminative Localization
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository (Journal of digital imaging)
  9. SURF: Speeded Up Robust Features (European Conference on Computer Vision)
  10. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)

Their papers