Jamie Shotton

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Andrew FitzgibbonGraphcoreDirección de correo verificada de fitzgibbon.ie
Antonio CriminisiPartner Research Lead at Microsoft CorporationDirección de correo verificada de microsoft.com
Pushmeet KohliDeepMindDirección de correo verificada de google.com
Shahram IzadiDirector, GoogleDirección de correo verificada de google.com
Toby SharpLead Software Architect, GoogleDirección de correo verificada de google.com
David KimStaff Software Engineer at GoogleDirección de correo verificada de google.com
Otmar HilligesProfessor of Computer Science, ETH ZurichDirección de correo verificada de inf.ethz.ch
Steve HodgesMicrosoft Research 📄= pub; 💡= patent ; 🏆= award; 🏅= mentionDirección de correo verificada de microsoft.com
Andrew BlakeAI ConsultantDirección de correo verificada de ablake.ai
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeDirección de correo verificada de microsoft.com
Jonathan TaylorSenior Scientist at perceptiveIO, IncDirección de correo verificada de cs.toronto.edu
Richard NewcombeVP, Research Science at Reality Labs ResearchDirección de correo verificada de cs.washington.edu
Carsten RotherProfessor Uni Heidelberg / GermanyDirección de correo verificada de iwr.uni-heidelberg.de
Roberto CipollaProfessor of Information Engineering, University of CambridgeDirección de correo verificada de eng.cam.ac.uk
Cem KeskinSenior Staff Research Scientist Manager, MetaDirección de correo verificada de fb.com
Ender KonukogluETH ZurichDirección de correo verificada de vision.ee.ethz.ch
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonDirección de correo verificada de doc.ic.ac.uk
Ben GlockerImperial College LondonDirección de correo verificada de imperial.ac.uk
Sebastian NowozinGoogle DeepMindDirección de correo verificada de deepmind.com
Philip TorrProfessor, University of OxfordDirección de correo verificada de eng.ox.ac.uk

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Jamie Shotton

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AI Computer Vision Autonomous Driving


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
KinectFusion: Real-time dense surface mapping and tracking RA Newcombe, AJ Davison, S Izadi, P Kohli, O Hilliges, J Shotton, ... Mixed and augmented reality (ISMAR), 2011 10th IEEE international symposium …, 2011	5090	2011
The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014	4994	2014
Real-time human pose recognition in parts from single depth images J Shotton, A Fitzgibbon, M Cook, T Sharp, M Finocchio, R Moore, ... CVPR 2011, 1297-1304, 2011	4605	2011
Kinectfusion: real-time 3d reconstruction and interaction using a moving depth camera S Izadi, D Kim, O Hilliges, D Molyneaux, R Newcombe, P Kohli, J Shotton, ... Proceedings of the 24th annual ACM symposium on User interface software and …, 2011	2887	2011
Real-time human pose recognition in parts from single depth images J Shotton, T Sharp, A Kipman, A Fitzgibbon, M Finocchio, A Blake, ... Communications of the ACM 56 (1), 116-124, 2013	2411	2013
Enhanced computer vision with microsoft kinect sensor: A review J Han, L Shao, D Xu, J Shotton IEEE transactions on cybernetics 43 (5), 1318-1334, 2013	1964	2013
Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation J Shotton, J Winn, C Rother, A Criminisi Computer Vision–ECCV 2006, 1-15, 2006	1583	2006
Semantic texton forests for image categorization and segmentation J Shotton, M Johnson, R Cipolla 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	1439	2008
Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context J Shotton, J Winn, C Rother, A Criminisi International journal of computer vision 81, 2-23, 2009	1364	2009
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning A Criminisi, J Shotton, E Konukoglu Foundations and trends® in computer graphics and vision 7 (2–3), 81-227, 2012	1205	2012
Segmentation and recognition using structure from motion point clouds GJ Brostow, J Shotton, J Fauqueur, R Cipolla Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	1158	2008
Scene coordinate regression forests for camera relocalization in RGB-D images J Shotton, B Glocker, C Zach, S Izadi, A Criminisi, A Fitzgibbon Proceedings of the IEEE conference on computer vision and pattern …, 2013	895	2013
Decision forests for computer vision and medical image analysis A Criminisi, J Shotton Springer Science & Business Media, 2013	810	2013
Learning 6d object pose estimation using 3d object coordinates E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	791	2014
Efficient human pose estimation from single depth images J Shotton, R Girshick, A Fitzgibbon, T Sharp, M Cook, M Finocchio, ... IEEE transactions on pattern analysis and machine intelligence 35 (12), 2821 …, 2012	706	2012
Regression forests for efficient anatomy detection and localization in computed tomography scans A Criminisi, D Robertson, E Konukoglu, J Shotton, S Pathak, S White, ... Medical image analysis 17 (8), 1293-1303, 2013	643	2013
Dsac-differentiable ransac for camera localization E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017	575	2017
Accurate, robust, and flexible real-time hand tracking T Sharp, C Keskin, D Robertson, J Taylor, J Shotton, D Kim, C Rhemann, ... Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015	565	2015
Efficient regression of general-activity human poses from depth images R Girshick, J Shotton, P Kohli, A Criminisi, A Fitzgibbon 2011 International Conference on Computer Vision, 415-422, 2011	522	2011
Multiscale categorical object recognition using contour fragments J Shotton, A Blake, R Cipolla IEEE transactions on pattern analysis and machine intelligence 30 (7), 1270-1281, 2008	486	2008

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