Gary Faigin

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gary Faigin trusts

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

  1. Fernando De la Torre (in Computer Vision and Pattern Recognition)
  2. Maja Pantic (in Computer Vision and Pattern Recognition)

Papers from Gary Faigin's perspective

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

  1. Caffe: Convolutional Architecture for Fast Feature Embedding
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  5. Support-Vector Networks
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops)
  9. Supervised Descent Method and Its Applications to Face Alignment
  10. ImageNet: A large-scale hierarchical image database

Their papers