Longuet-Higgins Prize is an award given annually by the IEEE Computer Society on the Conference on Computer Vision and Pattern Recognition (CVPR), for 'fundamental contributions in Computer Vision'. The award recognizes CVPR papers from ten years ago with fundamental impact on computer vision research. The medal is named after theoretical chemist and cognitive scientist H. Christopher Longuet-Higgins. 
Longuet-Higgins Prize recipients
- 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 –
- 2007 –
- J. Shi and J. 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 –
- H. Rowley, S. 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.