Tom SF Haines

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Tao XiangUniversity of Surrey; Meta AIVerified email at surrey.ac.uk
Gabriel J. BrostowProfessor of Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Richard C WilsonDepartment of Computer Science, University of YorkVerified email at york.ac.uk
Stephen HusbandsProfessor, Medicinal Chemistry, University of BathVerified email at bath.ac.uk
Christopher R PudneyProfessor of Applied Biochemistry, University of BathVerified email at bath.ac.uk
Oliver SutcliffeVerified email at mmu.ac.uk
Rachael C AndrewsPostdoctoral Researcher, University of BathVerified email at bath.ac.uk
Tom P FreemanReader, Addiction and Mental Health Group, Department of Psychology, University of BathVerified email at bath.ac.uk
Ian BlagbroughUniversity of BathVerified email at bath.ac.uk
Oisin Mac AodhaReader (Associate Professor), University of EdinburghVerified email at ed.ac.uk
Richard BowmanProleptic Reader & Royal Society URF, University of GlasgowVerified email at Glasgow.ac.uk
Christopher P L BerryNorthwestern University & University of GlasgowVerified email at glasgow.ac.uk
Walter Del PozzoResearcher, University of PisaVerified email at unipi.it
Leo SingerNASA Goddard Space Flight CenterVerified email at nasa.gov
Alan HunterUniversity of BathVerified email at bath.ac.uk
Oscar BryanPhD candidate University of BathVerified email at bath.ac.uk
David R. CarberyUniversity of BathVerified email at snapanalytics.co.uk
Roy Edgar HansenNorwegian Defence Research Establishment and University of OsloVerified email at ffi.no
Narada WarakagodaFFIVerified email at ffi.no
Tobias RitschelProfessor, University College LondonVerified email at ucl.ac.uk

Tom SF Haines

Computer Science, University of Bath

Verified email at bath.ac.uk - Homepage

machine learning computer vision graphics


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Background Subtraction with Dirichlet Process Mixture Models TSF Haines, T Xiang Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (4), 670-683, 2014	229	2014
Background subtraction with dirichlet processes TSF Haines, T Xiang Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	84	2012
My Text in Your Handwriting TSF Haines, OM Aodha, GJ Brostow Transactions on Graphics, 2016	66	2016
Dirichlet process Gaussian-mixture model: An application to localizing coalescing binary neutron stars with gravitational-wave observations W Del Pozzo, CPL Berry, A Ghosh, TSF Haines, LP Singer, A Vecchio Monthly Notices of the Royal Astronomical Society 479 (1), 601-614, 2018	48	2018
Delta-dual hierarchical dirichlet processes: A pragmatic abnormal behaviour detector TSF Haines, T Xiang 2011 International Conference on Computer Vision, 2198-2205, 2011	31	2011
Active rare class discovery and classification using dirichlet processes TSF Haines, T Xiang International Journal of Computer Vision 106, 315-331, 2014	24	2014
Texture stationarization: Turning photos into tileable textures J Moritz, S James, TSF Haines, T Ritschel, T Weyrich Computer graphics forum 36 (2), 177-188, 2017	20	2017
Integrating stereo with shape-from-shading derived orientation information TF Haines, RC Wilson British Machine Vision Conference (BMVC), 2007	20	2007
Active learning using dirichlet processes for rare class discovery and classification TF Haines, T Xiang British Machine Vision Conference, 2011	16	2011
Video topic modelling with behavioural segmentation TSF Haines, T Xiang Proceedings of the 1st ACM international workshop on Multimodal pervasive …, 2010	12	2010
Belief propagation with directional statistics for solving the shape-from-shading problem TSF Haines, RC Wilson Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	12	2008
Photochemical fingerprinting is a sensitive probe for the detection of synthetic cannabinoid receptor agonists; toward robust point-of-care detection RC Andrews, B May, FJ Hernández, GE Cozier, PA Townsend, ... Analytical Chemistry 95 (2), 703-713, 2023	8	2023
Challenges of labelling unknown seabed munition dumpsites from acoustic and optical surveys: A case study at Skagerrak O Bryan, RE Hansen, TSF Haines, N Warakagoda, A Hunter Remote Sensing 14 (11), 2619, 2022	8	2022
Combining shape-from-shading and stereo using Gaussian-Markov random fields TSF Haines, RC Wilson 2008 19th International Conference on Pattern Recognition, 1-4, 2008	8	2008
Synthetic cannabinoid receptor agonists are monoamine oxidase‐A selective inhibitors SA Hindson, RC Andrews, MJ Danson, MW Van der Kamp, AE Manley, ... The FEBS Journal 290 (12), 3243-3257, 2023	7	2023
Gaussian conjugate prior cheat sheet TSF Haines	6	2011
Instant detection of synthetic cannabinoids on physical matrices, implemented on a low-cost, ultraportable device GE Cozier, RC Andrews, A Frinculescu, R Kumar, B May, T Tooth, ... Analytical Chemistry 95 (37), 13829-13837, 2023	4	2023
Integrating Shape-from-Shading & Stereopsis TSF Haines University of York, 2009	4	2009
Automatic recognition of underwater munitions from multi-view sonar surveys using semi supervised machine learning: a simulation study O Bryan, TSF Haines, A Hunter, RE Hansen, N Warakagoda Proceedings of Meetings on Acoustics 47 (1), 2022	2	2022
Combining probabilistic shape-from-shading and statistical facial shape models T Ahmad, RC Wilson, WAP Smith, TSF Haines Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011	2	2011

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