Deadline for Submission of Nomination and Endorsement Forms:
Nomination Forms: April 2, 2022
Endorsement Forms: April 4, 2022
The International Association for Pattern Recognition (IAPR) is pleased to announce a call for nominations for the King-Sun Fu Prize in honor of the memory of Professor King-Sun Fu. (Professor Fu's biography appeared in the IEEE Trans. PAMI, May 1986 and is also available in pdf form at http://dataclustering.cse.msu.edu/KSFu_Biography.pdf.)
Videos and slides of talks given by the most recent recipients of the KS Fu Prize can be retrieved from this website.
Professor Fu was instrumental in the founding of IAPR, served as its first president, and is widely recognized for his extensive contributions to the field of pattern recognition.
This biennial prize is given to a living person in recognition of an outstanding technical contribution to the field of pattern recognition, and consists of a cash amount and a suitably inscribed certificate. The prize is derived from interest income from a special fund set up for this purpose.
The nomination must be made by a member of a national member society of IAPR and by endorsement of at least five members, representing at least two member societies different from that of the nominator. The prize recipient shall be selected by the Prize Committee, subject to approval by the IAPR Governing Board. Members of the IAPR Executive Committee, as well as of the Prize Committee, shall be ineligible for the prize and may not serve as nominators or endorsers.
The 2022 prize will be presented at the
26th International Conference on Pattern Recognition (ICPR)
Montreal, Quebec
August 21-25, 2022
The prize recipient is expected to present an invited talk at the conference and to provide a contribution to the special issue of Pattern Recognition Letters, which will include extended versions of all papers that received an IAPR award at the most recent ICPR.
The nomination must be made on special nomination and the endorsement forms. Nomination forms must be received no later than April 2, 2022; endorsements no later than April 4, 2022.
Both completed nomination and endorsement forms must be submitted in electronic form. The nominator as well as endorsers should email their completed forms directly to the Appointed Chair of the K . S. Fu Prize Committee at the specified email address:
Ching Y. Suen
2020 K. S. Fu Prize Winner and Acting Chair
suen@cse.concordia.ca
King-Sun Fu Prize Nomination Forms:
Endorsement Form (.doc)
Nomination Form (.doc)
Professor Ching Yee Suen
For pioneering research and exceptional contributions to handwriting recognition and document understanding in theory, practice, and education.
Matti Kalevi Pietikäinen
For fundamental contributions to texture analysis and facial image analysis.
Professor Robert Haralick
For contributions in image analysis including remote sensing, texture analysis, mathematical morphology, consistent labeling, and system performance evaluation.
Professor Jitendra Malik
For contributions to fundamental algorithms and their theoretical underpinnings in computer vision.
Professor Rama Chellappa
For pioneering contributions to statistical methods for image- and video-based object recognition.
Professor Horst Bunke
For pioneering work on syntactic and structural pattern recognition.
Professor Anil K. Jain
Professor Josef Kittler
Professor J. K. Aggarwal
Professor Thomas S. Huang
For pioneering contributions to 3D motion and structure estimation from 2D image sequences.
Professor Theo Pavlidis
For mathematically rigorous algorithms and software engineering principles that have prove fundamental to many pattern recognition and image processing domains, including segmentation, picture editing, document processing, and bar-code technology.
Professor Jean-Claude Simon
For his contributions to the automated recognition of handwritten words and his life-long leadership in pattern recognition.
Professor Teuvo Kohonen
Professor Herbert Freeman
Professor Leveen Kanal
For his fundamental contributions to Markov random field models, heuristic search strategies, hybrid linguistic-statistical models, and reasoning in uncertain domains.
Professor R.L. Kashyap
Professor Azriel Rosenfeld