Dr Hannah M. Dee

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David C HoggUniversity of LeedsVerified email at leeds.ac.uk
Paulo SantosFlinders University, Adelaide, AustraliaVerified email at flinders.edu.au
valquiria fenelon pereiraUniversidade de são paulo, centro universitário feiVerified email at usp.br
Bernard TiddemanProfessor in Computer Science, Aberystwyth UniversityVerified email at aber.ac.uk
Prof. Sergio A Velastin FIET SMIEEVisiting Professor, Queen Mary University of LondonVerified email at ieee.org
Anthony (Tony) G CohnProfessor of Automated Reasoning, University of LeedsVerified email at leeds.ac.uk
William A. P. SmithProfessor, Department of Computer Science, University of YorkVerified email at york.ac.uk
Andrew P FrenchUniversity of NottinghamVerified email at nottingham.ac.uk
Karen PetrieLecturer, University of DundeeVerified email at computing.dundee.ac.uk
Ngoc Son VuETIS - ENSEA, CY Cergy Paris University, CNRSVerified email at ensea.fr
Fabio Gagliardi CozmanUniversidade de Sao PauloVerified email at usp.br
Frédéric LabrosseAberystwyth UniversityVerified email at aber.ac.uk
Hanno ScharrForschungszentrum Jülich, IAS-8Verified email at fz-juelich.de
Sotirios TsaftarisChair in Machine Learning and Computer Vision, The University of EdinburghVerified email at ed.ac.uk
David ROUSSEAUUniversité d'Angers, France (former Université Lyon 1)Verified email at univ-angers.fr
Tony PridmoreUniversity of NottinghamVerified email at cs.nott.ac.uk
Valentina PoggioniUniversity of Perugia, Dept of Mathematics and Computer ScienceVerified email at unipg.it
Alfredo MilaniDepartment of Mathematics and Computer Science, University of PerugiaVerified email at unipg.it
Marius MarianUniversity of CraiovaVerified email at cs.ucv.ro
Lorna M. HughesProfesor of Digital Humanities, University of GlasgowVerified email at glasgow.ac.uk

Dr Hannah M. Dee

Lecturer in Computer Science, Aberystwyth University

Verified email at aber.ac.uk - Homepage

Artificial Intelligence Computer vision Spatial reasoning. Plant image analysis.


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How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms HM Dee, SA Velastin Machine Vision and Applications 19, 329-343, 2008	275	2008
Detecting inexplicable behaviour. HM Dee, DC Hogg BMVC, 1-10, 2004	165	2004
Face recognition using the POEM descriptor NS Vu, HM Dee, A Caplier Pattern Recognition 45 (7), 2478-2488, 2012	98	2012
The perception and content of cast shadows: An interdisciplinary review HM Dee, PE Santos Spatial Cognition & Computation 11 (3), 226-253, 2011	54	2011
A morphable face albedo model WAP Smith, A Seck, H Dee, B Tiddeman, JB Tenenbaum, B Egger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	45	2020
Crowd behaviour analysis using histograms of motion direction HM Dee, A Caplier 2010 IEEE International Conference on Image Processing, 1545-1548, 2010	41	2010
Aberystwyth leaf evaluation dataset J Bell, HM Dee URL: https://doi. org/10.5281/zenodo 168158 (17-36), 2, 2016	35	2016
Special issue on computer vision and image analysis in plant phenotyping H Scharr, H Dee, AP French, SA Tsaftaris Machine Vision and Applications 27, 607-609, 2016	31	2016
Why are we still here? Experiences of successful women in computing HM Dee, KE Petrie, RD Boyle, R Pau ACM SIGCSE Bulletin 41 (3), 233-237, 2009	31	2009
Imaging methods for phenotyping of plant traits D Rousseau, H Dee, T Pridmore Phenomics in crop plants: trends, options and limitations, 61-74, 2015	26	2015
Qualitative robot localisation using information from cast shadows P Santos, HM Dee, V Fenelon 2009 IEEE International Conference on Robotics and Automation, 220-225, 2009	23	2009
On the feasibility of using a cognitive model to filter surveillance data HM Dee, DC Hogg IEEE Conference on Advanced Video and Signal Based Surveillance, 2005., 34-39, 2005	22	2005
Scene modelling and classification using learned spatial relations HM Dee, DC Hogg, AG Cohn Spatial Information Theory: 9th International Conference, COSIT 2009 Aber …, 2009	20	2009
Leaf segmentation through the classification of edges J Bell, HM Dee arXiv preprint arXiv:1904.03124, 2019	19	2019
Is it interesting? comparing human and machine judgements on the pets dataset H Dee, DC Hogg ECCV-PETS: the Performance Evaluation of Tracking and Surveillance workshop …, 2004	18	2004
Navigational strategies in behaviour modelling HM Dee, DC Hogg Artificial Intelligence 173 (2), 329-342, 2009	17	2009
Explaining visible behaviour HM Dee University of Leeds, 2005	15	2005
From image processing to computer vision: plant imaging grows up H Dee, A French Functional Plant Biology 42 (5), iii-v, 2015	13	2015
Navigational strategies and surveillance HM Dee, DC Hogg Proc. IEEE International Workshop on Visual Surveillance, 73-81, 2006	12	2006
Reasoning about shadows in a mobile robot environment V Fenelon, PE Santos, HM Dee, FG Cozman Applied Intelligence 38, 553-565, 2013	11	2013

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