PAMI Mark Everingham Prize

This Prize is to commemorate Mark Everingham and to encourage others to follow in his footsteps by acting to further progress in the computer vision community as a whole. An appreciation of Mark Everingham’s contributions is at The prize shall be given to a researcher, or a team of researchers, who have made a selfless contribution of significant benefit to other members of the computer vision community. The award is given out by the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee. Candidates are nominated by the community in a window preceding ECCV or ICCV determined by the TCPAMI chair.

If you have questions about submitting a nomination, contact the TCPAMI chair. Winners are decided by a committee appointed by the TCPAMI Awards Committee.

Click here for the wikipedia article on this award.

The Prize will be awarded annually at a major computer vision conference. In even numbered years it will be awarded at the European Conference on Computer Vision (ECCV), and in odd numbered years it will be awarded at the International Conference on Computer Vision (ICCV).

More details about the prize are available here.


  • Ramin Zabih (awarded at ECCV 2016)
  • The ImageNet team (Alex Berg, Jia Deng, Fei-Fei Li, Wei Liu, Olga Russakovsky, awarded at ECCV 2016)
  • Andrea Vedaldi for VLFeat  (awarded at ICCV 2015)
  • Daniel Scharstein and Rick Szeliski for the Middlebury Datasets (awarded at ICCV 2015)
  • Ginger Boult and Terry Boult (awarded at ECCV 2014)
  • P. Jonathon Phillipsfor for the FERET database (awarded at ICCV 2013)
  • The OpenCV team, represented by Gary Bradski (awarded at ICCV 2013).