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Tracking and Learning

Wednesday, June 24

Time: 5:10—6:30
Location: Sparkle East
Session Chair: F. Porikli (MERL)

  • SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors (Duy-Nguyen Ta (Georgia Institute of Technology), Wei-Chao Chen (Nokia Research Center), Natasha Gelfand (Nokia Research Center), Kari Pulli (Nokia Research Center))
  • Real Time Learning of Accurate Patch Rectification (Stefan Hinterstoisser (TU Munich), Oliver Kutter (TU Munich), Nassir Navab (TU Munich), Pascal Fua (EPFL), Vincent Lepetit (EPFL)) 
  • Learning to Associate: HybridBoosted Multi-Target Tracker for Crowded Scene (Yuan Li (University of Southern California), Chang Huang (University of Southern California), Ram Nevatia (University of Southern California))
  • Learning sign language by watching TV (using weakly aligned subtitles) (Patrick Buehler (University of Oxford), Mark Everingham (University of Leeds), Andrew Zisserman (University of Oxford)) 

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