V. Kastrinaki

Image and Vision Computing · 2003

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom V. Kastrinaki trusts overall

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

  1. Nikos Paragios
  2. Margrit Betke
  3. C. Thorpe
  4. Rachid Deriche
  5. Martial Hebert
  6. Heinrich H. Bülthoff

Who trusts V. Kastrinaki overall

  1. Luo-Wei Tsai
  2. Jun-Wei Hsieh
  3. Joel C. McCall
  4. Andreas Geiger

Papers from V. Kastrinaki's perspective

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

  1. Determining Optical Flow
  2. Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Real-time multiple vehicle detection and tracking from a moving vehicle (Machine Vision and Applications)
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Histograms of oriented gradients for human detection
  6. Vision and Navigation for the Carnegie-Mellon Navlab
  7. Infinite Mixtures of Gaussian Process Experts
  8. Inverse perspective mapping simplifies optical flow computation and obstacle detection (Biological cybernetics)
  9. ImageNet classification with deep convolutional neural networks
  10. Going deeper with convolutions

Their papers