The Sullivan Doctoral Thesis Prize

The British Machine Vision Association has established a prize fund to commemorate the contribution made by the late Professor Geoff Sullivan to the advancement of the field of Computer Vision in the United Kingdom. The prize is considered for award, on an annual basis, to the best doctoral thesis submitted to a UK University, in the field of computer or natural vision.

Recommendations for the prize are considered by a Selection Panel appointed annually by the BMVA Executive Committee.

The decision of the Selection Panel is announced at the annual British Machine Vision Conference, at which the presentation will be made.

2019 Prize Nominations

The BMVA Executive Committee seeks nominations for the Sullivan Prize for theses examined during the calendar year 2018. Internal examiners and supervisors may act as nominators, but the committee would like to receive an accompanying report and endorsement of the nomination from the external examiner of the thesis. The closing date for theses to be considered for the award of the 2019 prize is 31st May 2019.

Previous winners

Year Winner Institution Thesis
2017Karel LebedaUniversity of Surrey2D and 3D Tracking and Modelling
2016Xiatian ZhuQueen Mary, University of LondonSemantic Structure Discovery in Surveillance Videos
2015Vibhav VineetOxford Brookes UniversityRecognition, Reorganisation, Reconstruction and Reinteraction for Scene Understanding
2014Mattias HeinrichUniversity of OxfordDeformable lung registration for pulmonary image analysis of MRI and CT scans
2013Patrick Ott
(joint winner)
University of LeedsSegmentation Features, Visibility Modeling and Shared Parts for Object Detection
2013Shoaib Ehsan
(joint winner)
University of EssexImproving the Effectiveness of Local Feature Detection
2012Marco PaladiniQueen Mary, University of LondonDeformable and Articulated 3D Reconstruction from monocular video sequences
2011Charles BibbyUniversity of OxfordProbabilistic Methods for Enhanced Marine Situational Awareness
2010Olly OechsleUniversity of EssexTowards the Automatic Construction of Machine Vision Systems using Genetic Programming
2009Pawan Kumar MudigondaOxford Brookes UniversityCombinatorial and Convex Optimization for Probabilistic Models in Computer Vision
2008Pushmeet KohliOxford Brookes UniversityMinimizing Dynamic and Higher Order Energy Functions using Graph Cuts
2007Josef SivicUniversity of OxfordEfficient visual search of images and videos
2006Rob FergusUniversity of OxfordVisual Object Category Recognition
2005Björn StengerUniversity of CambridgeModel-based hand tracking using a hierarchical Bayesian filter
2004Jonathon StarckUniversity of SurreyHuman Modelling from Multiple Views
2003Rhodri DaviesUniversity of ManchesterLearning Shape: Optimal Models for Analysing Shape Variability
2002Albert ChungUniversity of OxfordVessel and aneurysm reconstruction using speed and flow coherence information in phase contrast magnetic-resonance angiograms.
2001Gareth J EdwardsUniversity of ManchesterLearning to identify faces in images and sequences.
2000Richard BowdenBrunel UniversityLearning non-linear Models of Shape and Motion
1999Neil JohnsonUniversity of LeedsLearning Object Behaviour Models