Antonio Criminisi

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Jamie ShottonWayveDirección de correo verificada de wayve.ai
Andrew BlakeAI ConsultantDirección de correo verificada de ablake.ai
Ben GlockerImperial College LondonDirección de correo verificada de imperial.ac.uk
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeDirección de correo verificada de microsoft.com
Carsten RotherProfessor Uni Heidelberg / GermanyDirección de correo verificada de iwr.uni-heidelberg.de
Ender KonukogluETH ZurichDirección de correo verificada de vision.ee.ethz.ch
Andrew ZissermanUniversity of OxfordDirección de correo verificada de robots.ox.ac.uk
Darko ZikicDirección de correo verificada de in.tum.de
Aditya NoriMicrosoft ResearchDirección de correo verificada de microsoft.com
Pushmeet KohliDeepMindDirección de correo verificada de google.com
Toby SharpLead Software Architect, GoogleDirección de correo verificada de google.com
Shahram IzadiDirector, GoogleDirección de correo verificada de google.com
Nicholas AyacheResearch Director at INRIA/ CSO of 3IA Côte d'AzurDirección de correo verificada de inria.fr
Peter KontschiederDirector of Research at MetaDirección de correo verificada de meta.com
patrick pérezkyutaiDirección de correo verificada de kyutai.org
Abigail SellenLab Director, Microsoft Research Cambridge, UKDirección de correo verificada de microsoft.com
Vladimir KolmogorovIST AustriaDirección de correo verificada de ist.ac.at
Kentaro ToyamaUniversity of Michigan, School of InformationDirección de correo verificada de umich.edu
Philip TorrProfessor, University of OxfordDirección de correo verificada de eng.ox.ac.uk
Yani IoannouAssistant Professor, Schulich Research Chair, University of CalgaryDirección de correo verificada de ucalgary.ca

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Antonio Criminisi

Partner Research Lead at Microsoft Corporation

Dirección de correo verificada de microsoft.com

Augmented Reality Computer Vision Machine Learning Medical Image Analysis Random Forests


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	6596	2014
Region filling and object removal by exemplar-based image inpainting A Criminisi, P Pérez, K Toyama Image Processing, IEEE Transactions on 13 (9), 1200-1212, 2004	4533	2004
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: 9th European Conference on Computer Vision, Graz …, 2006	1621	2006
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 (1), 2-23, 2009	1433	2009
Object removal by exemplar-based inpainting A Criminisi, P Perez, K Toyama 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	1423	2003
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	1313	2012
Object categorization by learned universal visual dictionary J Winn, A Criminisi, T Minka Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005	1189	2005
Single view metrology A Criminisi, I Reid, A Zisserman International Journal of Computer Vision 40 (2), 123-148, 2000	1177	2000
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	1125	2013
Decision forests for computer vision and medical image analysis A Criminisi, J Shotton Springer, 2013	851	2013
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	747	2012
Deep neural decision forests P Kontschieder, M Fiterau, A Criminisi, SR Bulo Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015	686	2015
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	662	2013
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ... Information Processing in Medical Imaging: 25th International Conference …, 2017	616	2017
Measuring neural net robustness with constraints O Bastani, Y Ioannou, L Lampropoulos, D Vytiniotis, A Nori, A Criminisi Advances in neural information processing systems 29, 2016	545	2016
Geodesic star convexity for interactive image segmentation V Gulshan, C Rother, A Criminisi, A Blake, A Zisserman 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	538	2010
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	532	2011
Harvesting image databases from the web F Schroff, A Criminisi, A Zisserman IEEE transactions on pattern analysis and machine intelligence 33 (4), 754-766, 2010	518	2010
DeepMedic for brain tumor segmentation K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016	453	2016
Creating architectural models from images D Liebowitz, A Criminisi, A Zisserman Computer Graphics Forum 18 (3), 39-50, 1999	445	1999

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