Carsten Rother

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Andrew BlakeAI ConsultantDirección de correo verificada de ablake.ai
Vladimir KolmogorovIST AustriaDirección de correo verificada de ist.ac.at
Pushmeet KohliDeepMindDirección de correo verificada de google.com
Antonio CriminisiPartner Research Lead at Microsoft CorporationDirección de correo verificada de microsoft.com
Eric BrachmannStaff Scientist, NianticDirección de correo verificada de nianticlabs.com
Christoph RhemannResearch Scientist, GoogleDirección de correo verificada de google.com
Jamie ShottonWayveDirección de correo verificada de wayve.ai
Frank MichelSenior Research Scientist, Toyota Research InstituteDirección de correo verificada de tri.global
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergDirección de correo verificada de iwr.uni-heidelberg.de
Victor LempitskyCinemersive LabsDirección de correo verificada de cinemersivelabs.com
Sebastian NowozinGoogle DeepMindDirección de correo verificada de deepmind.com
Toby SharpLead Software Architect, GoogleDirección de correo verificada de google.com
Michael BleyerMicrosoft RedmondDirección de correo verificada de ims.tuwien.ac.at
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeDirección de correo verificada de microsoft.com
Alexander KirillovResearch Scientist, Facebook AI Research (FAIR)Dirección de correo verificada de fb.com
Lynton ArdizzoneHeidelberg UniversityDirección de correo verificada de iwr.uni-heidelberg.de
Philip TorrProfessor, University of OxfordDirección de correo verificada de eng.ox.ac.uk
Alexander KrullMPI-CBG/PKS in DresdenDirección de correo verificada de tu-dresden.de
Bogdan SavchynskyyGroup Leader at Heidelberg University, GermanyDirección de correo verificada de iwr.uni-heidelberg.de
Margrit GelautzVienna University of TechnologyDirección de correo verificada de tuwien.ac.at

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Carsten Rother

Professor Uni Heidelberg / Germany

Dirección de correo verificada de iwr.uni-heidelberg.de - Página principal

computer vision machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
" GrabCut" interactive foreground extraction using iterated graph cuts C Rother, V Kolmogorov, A Blake ACM transactions on graphics (TOG) 23 (3), 309-314, 2004	8028	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	1583	2006
Fast cost-volume filtering for visual correspondence and beyond A Hosni, C Rhemann, M Bleyer, C Rother, M Gelautz IEEE transactions on pattern analysis and machine intelligence 35 (2), 504-511, 2012	1381	2012
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	1368	2009
A comparative study of energy minimization methods for markov random fields with smoothness-based priors R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ... IEEE transactions on pattern analysis and machine intelligence 30 (6), 1068-1080, 2008	1341	2008
Panoptic segmentation A Kirillov, K He, R Girshick, C Rother, P Dollár Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	1324	2019
Patchmatch stereo-stereo matching with slanted support windows. M Bleyer, C Rhemann, C Rother Bmvc 11, 1-11, 2011	816	2011
Interactive image segmentation using an adaptive GMMRF model A Blake, C Rother, M Brown, P Perez, P Torr Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004	814	2004
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	798	2014
Cosegmentation of image pairs by histogram matching-incorporating a global constraint into mrfs C Rother, T Minka, A Blake, V Kolmogorov 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	725	2006
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	577	2017
Optimizing binary MRFs via extended roof duality C Rother, V Kolmogorov, V Lempitsky, M Szummer 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007	565	2007
Graph cut based image segmentation with connectivity priors S Vicente, V Kolmogorov, C Rother 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	537	2008
Feature correspondence via graph matching: Models and global optimization L Torresani, V Kolmogorov, C Rother Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	534	2008
Minimizing nonsubmodular functions with graph cuts-a review V Kolmogorov, C Rother IEEE transactions on pattern analysis and machine intelligence 29 (7), 1274-1279, 2007	522	2007
A comparative study of energy minimization methods for markov random fields R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ... Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006	521	2006
Image segmentation with a bounding box prior V Lempitsky, P Kohli, C Rother, T Sharp 2009 IEEE 12th international conference on computer vision, 277-284, 2009	506	2009
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	505	2008
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	493	2010
A new approach to vanishing point detection in architectural environments C Rother Image and Vision Computing 20 (9-10), 647-655, 2002	492	2002

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