Longuet-Higgins Prize

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The Longuet-Higgins Prize is an award given annually by the Technical Committee on Pattern Analysis and Machine Intelligence of the IEEE Computer Society at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), for 'Fundamental contributions in Computer Vision'. The award recognizes CVPR papers from ten years ago that have made a significant impact on computer vision research. The award is named after theoretical chemist and cognitive scientist H. Christopher Longuet-Higgins.

Longuet-Higgins Prize recipients[edit]

  • 2015 –
    • Navneet Dalal and Bill Triggs, "Histograms of oriented gradients for human detection", CVPR 2005.
    • Antoni Buades, Bartomeu Coll, and Jean-Michel Morel, "A non-local algorithm for image denoising", CVPR 2005.
  • 2014 –
    • Krystian Mikolajczyk and Cordelia Schmid, "A Performance Evaluation of Local Descriptors", CVPR 2003.
  • 2013 –
    • Rob Fergus, Pietro Perona, and Andrew Zisserman, "Object Class Recognition by Unsupervised Scale-Invariant Learning", CVPR 2003.
  • 2011 –
    • Paul A. Viola and Michael J. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", CVPR 2001.
  • 2010 –
    • Pedro F. Felzenszwalb and Daniel P. Huttenlocher, "Efficient Matching of Pictorial Structures", CVPR 2000.
    • Dorin Comaniciu, Visvanathan Ramesh, and Peter Meer, "Real-Time Tracking of Non-Rigid Objects Using Mean Shift", CVPR 2000.
  • 2009 –
    • Jinggang Huang, David Mumford, "Statistics of Natural Images and Models", CVPR 1999.
    • Chris Stauffer, W.E.L. Grimson, "Adaptive Background Mixture Models for Real-Time Tracking", CVPR 1999.
  • 2008 –
    • Henry Schneiderman and Takeo Kanade, "Probabilistic modeling of local appearance and spatial relationships for object recognition", CVPR 1998.
    • Christoph Bregler and Jitendra Malik, "Tracking people with twists and exponential maps", CVPR 1998.
  • 2007 –
    • Jianbo Shi and Jitendra Malik, "Normalized Cuts and Image Segmentation", CVPR 1997.
    • E. Osuna, R. Freund, and F. Girosi, "Training Support Vector Machines: An Application to Face Detection", CVPR 1997.
  • 2006 –
    • Henry Rowley, Shumeet Baluja and Takeo Kanade, "Neural Network-Based Face Detection", CVPR 1996.
    • Cordelia Schmid and Roger Mohr, "Combining greyvalue invariants with local constraints for object recognition", CVPR 1996.
  • 2005 –
    • David Mumford and Jayant Shah, "Boundary detection by minimizing functionals", CVPR 1985, pages 22–26.
    • Ted Adelson and John Wang, "Layered representation for motion analysis", CVPR 1993, pages 361–366.