PAMI Mark Everingham Prize
for Contributions to the Computer Vision Community
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 http://bit.ly/markever.
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, and the selection is managed by the PAMI TC awards committee.
Outline of the Prize
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).
The Everingham Prize will be awarded to a Researcher or Research Team (the Recipient) who has made a significant contribution to the computer vision community. For example, this contribution may be:
- Running a competition or challenge which has seen significant uptake by the community and has allowed a standardized comparison between methods and tracking the progress of the community as a whole;
- Creating open source software or shared library component that has seen significant use within the community, enabling many researchers to build more capable vision systems;
- Creating a public dataset that has seen significant use within the community and has opened up new areas of research and/or allowed standardized comparison between methods;
- Creating an online service, text book or other resource which has been of significant help to computer vision researchers in pursuing their research;
- Performing research that analyses many methods within the community to provide significant new insights into the characteristics of existing methods, particularly if such insights suggest new avenues of research.
The above examples are not exhaustive – the Prize is open to any contribution judged to be a significant benefit to the computer vision community according to the Selection Criteria. Contributions may have occurred at any time prior to nomination – they are not limited to contributions since the previous Prize was awarded.
The Prize consists of a Gift to the Recipient of USD 3,000 which will be presented during the conference, along with a plaque.
Nomination process and timescale
Two methods of nomination are permitted:
- An individual or team may nominate themselves,
- Proposers may submit a nomination for another individual or team.
Previous winners are not excluded from nomination, but the nomination must be for a new contribution.
Nominations should be made by email to email@example.com at least two months before the relevant ECCV or ICCV. The nomination should include name(s) and contact detail(s) of the individual or team (the Candidate), a brief description of the contribution and should address the following four selection criteria (quantitatively where possible):
- The impact of the contribution – in terms of the degree of benefit to the community and the number of community members benefitting,
- the time and effort that went into the contribution,
- The degree to which the Candidate sought to understand and address the needs of the community – particularly those members whose needs have previously been overlooked,
- The lasting nature of the contribution – the length of time over which the community has actively benefitted, or is expected to benefit looking ahead.
Eligibility of the Candidate
For the purpose of this Prize we define a Researcher or Research Team to be anyone actively involved in research at a University, other research institution in the public or private sector, or in industry.
The Prize is open to Researchers at any stage in their career, but particular emphasis will be given to contributions by Researchers in the earlier stages of their career.