Scott Blunsden

International Conference on Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Whom Scott Blunsden trusts overall

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

  1. Lihi Zelnik-Manor

Who trusts Scott Blunsden overall

  1. Louis Kratz
  2. Yang Cong
  3. Shandong Wu
  4. Julio C. S. Jacques Junior
  5. José M. Chaquet
  6. Ramin Mehran

Papers from Scott Blunsden's perspective

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

  1. Activity recognition and abnormality detection with the switching hidden semi-Markov model (Computer Vision and Pattern Recognition)
  2. Self-Tuning Spectral Clustering
  3. Recognition of group activities using dynamic probabilistic networks
  4. Layered representations for learning and inferring office activity from multiple sensory channels
  5. Semi-supervised adapted HMMs for unusual event detection (Computer Vision and Pattern Recognition)
  6. A survey on visual surveillance of object motion and behaviors
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers