Justin Thorsen

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 Justin Thorsen trusts overall

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

  1. Olga Sorkine-Hornung

Papers from Justin Thorsen's perspective

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

  1. Random Forests
  2. ImageNet classification with deep convolutional neural networks
  3. I and J
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Structured Forests for Fast Edge Detection
  6. Learning the parts of objects by non-negative matrix factorization
  7. Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
  8. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
  9. Gradient-based learning applied to document recognition
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers