Dr Hannah M. Dee

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David C HoggUniversity of LeedsAdresse e-mail validée de leeds.ac.uk
Paulo SantosPrioriAnalyticaAdresse e-mail validée de priorianalytica.com
Bernard TiddemanProfessor in Computer Science, Aberystwyth UniversityAdresse e-mail validée de aber.ac.uk
valquiria fenelon pereiraUniversidade de são paulo, centro universitário feiAdresse e-mail validée de usp.br
Prof. Sergio A Velastin FIET SMIEEVisiting Professor, Queen Mary University of LondonAdresse e-mail validée de ieee.org
William A. P. SmithProfessor, Department of Computer Science, University of YorkAdresse e-mail validée de york.ac.uk
Andrew P FrenchUniversity of NottinghamAdresse e-mail validée de nottingham.ac.uk
Anthony (Tony) G CohnProfessor of Automated Reasoning, University of LeedsAdresse e-mail validée de leeds.ac.uk
Karen PetrieLecturer, University of DundeeAdresse e-mail validée de computing.dundee.ac.uk
Ngoc Son VuETIS - ENSEA, CY Cergy Paris University, CNRSAdresse e-mail validée de ensea.fr
Fabio Gagliardi CozmanUniversidade de Sao PauloAdresse e-mail validée de usp.br
Frédéric LabrosseAberystwyth UniversityAdresse e-mail validée de aber.ac.uk
Hanno ScharrForschungszentrum Jülich, IAS-8Adresse e-mail validée de fz-juelich.de
Sotirios TsaftarisChair in Machine Learning and Computer Vision, The University of EdinburghAdresse e-mail validée de ed.ac.uk
David ROUSSEAUUniversité d'Angers, France (former Université Lyon 1)Adresse e-mail validée de univ-angers.fr
Tony PridmoreUniversity of NottinghamAdresse e-mail validée de cs.nott.ac.uk
Valentina PoggioniUniversity of Perugia, Dept of Mathematics and Computer ScienceAdresse e-mail validée de unipg.it
Alfredo MilaniDepartment of Mathematics and Computer Science, University of PerugiaAdresse e-mail validée de unipg.it
Marius MarianUniversity of CraiovaAdresse e-mail validée de edu.ucv.ro
Lorna M. HughesProfesor of Digital Humanities, University of GlasgowAdresse e-mail validée de glasgow.ac.uk

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Dr Hannah M. Dee

Lecturer in Computer Science, Aberystwyth University

Adresse e-mail validée de aber.ac.uk - Page d'accueil

Artificial Intelligence Computer vision Spatial reasoning. Plant image analysis.


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	279	2008
Detecting inexplicable behaviour. HM Dee, DC Hogg BMVC, 1-10, 2004	162	2004
Face recognition using the POEM descriptor NS Vu, HM Dee, A Caplier Pattern Recognition 45 (7), 2478-2488, 2012	99	2012
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	61	2020
The perception and content of cast shadows: An interdisciplinary review HM Dee, PE Santos Spatial Cognition & Computation 11 (3), 226-253, 2011	59	2011
Crowd behaviour analysis using histograms of motion direction HM Dee, A Caplier 2010 IEEE International Conference on Image Processing, 1545-1548, 2010	40	2010
Aberystwyth leaf evaluation dataset J Bell, HM Dee URL: https://doi. org/10.5281/zenodo 168158 (17-36), 2, 2016	35	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	33	2009
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	32	2016
Imaging methods for phenotyping of plant traits D Rousseau, H Dee, T Pridmore Phenomics in crop plants: trends, options and limitations, 61-74, 2015	27	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	24	2009
Leaf segmentation through the classification of edges J Bell, HM Dee arXiv preprint arXiv:1904.03124, 2019	23	2019
Scene modelling and classification using learned spatial relations HM Dee, DC Hogg, AG Cohn Spatial Information Theory: 9th International Conference, COSIT 2009 Aber …, 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	23	2005
Navigational strategies in behaviour modelling HM Dee, DC Hogg Artificial Intelligence 173 (2), 329-342, 2009	18	2009
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
Explaining visible behaviour HM Dee University of Leeds, 2005	14	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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