Jörg Hendrik Kappes

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Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityDirección de correo verificada de math.uni-heidelberg.de
Bogdan SavchynskyyGroup Leader at Heidelberg University, GermanyDirección de correo verificada de iwr.uni-heidelberg.de
Fred A. HamprechtProfessor, Heidelberg UniversityDirección de correo verificada de iwr.uni-heidelberg.de
Bjoern AndresTU DresdenDirección de correo verificada de andres.sc
Thorsten BeierQuantStackDirección de correo verificada de quantstack.net
Stefan SchmidtHeidelberg Engineering GmbHDirección de correo verificada de math.uni-heidelberg.de
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergDirección de correo verificada de iwr.uni-heidelberg.de
Jan LellmannUniversity of LuebeckDirección de correo verificada de uni-luebeck.de
Paul SwobodaHeinrich-Heine Universität DüsseldorfDirección de correo verificada de hhu.de
Dhruv BatraPrev: FAIR (Meta AI), Georgia TechDirección de correo verificada de dhruvbatra.com
Nikos KomodakisAssociate Professor, Computer Science Department, University of CreteDirección de correo verificada de csd.uoc.gr
Sebastian NowozinGoogle DeepMindDirección de correo verificada de deepmind.com
Bernhard X. KauslerDirección de correo verificada de kausler.net
Carsten RotherProfessor Uni Heidelberg / GermanyDirección de correo verificada de iwr.uni-heidelberg.de
Sungwoong KimAssociate Professor, Korea UniversityDirección de correo verificada de korea.ac.kr
Florian BeckerSony Europe B.V.Dirección de correo verificada de sony.com
Vladimir PekarGE HealthCareDirección de correo verificada de ge.com
Daniel BystrovSenior Scientist, Philips Research HamburgDirección de correo verificada de philips.com
Jing YuanDistinguished Professor, College of Math. Med., Zhejiang Normal Univ.Dirección de correo verificada de zjnu.edu.cn
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyDirección de correo verificada de technion.ac.il

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Jörg Hendrik Kappes

Heidelberg Engineering

Dirección de correo verificada de math.uni-heidelberg.de

Combinatorial Optimization Discrete Optimization Graphical Models Markov Random Fields Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115, 155-184, 2015	245	2015
A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013	224	2013
Spine detection and labeling using a parts-based graphical model S Schmidt, J Kappes, M Bergtholdt, V Pekar, S Dries, D Bystrov, ... Information Processing in Medical Imaging: 20th International Conference …, 2007	195	2007
Convex multi-class image labeling by simplex-constrained total variation J Lellmann, J Kappes, J Yuan, F Becker, C Schnörr Scale Space and Variational Methods in Computer Vision: Second International …, 2009	190	2009
A study of parts-based object class detection using complete graphs M Bergtholdt, J Kappes, S Schmidt, C Schnörr International journal of computer vision 87, 93-117, 2010	188	2010
Probabilistic image segmentation with closedness constraints B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht 2011 International Conference on Computer Vision, 2611-2618, 2011	128	2011
OpenGM: A C++ library for discrete graphical models B Andres, T Beier, JH Kappes arXiv preprint arXiv:1206.0111, 2012	119	2012
Globally optimal image partitioning by multicuts JH Kappes, M Speth, B Andres, G Reinelt, C Schn Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th …, 2011	107	2011
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling B Savchynskyy, J Kappes, S Schmidt, C Schnörr CVPR 2011, 1817-1823, 2011	75	2011
A bundle approach to efficient MAP-inference by Lagrangian relaxation JH Kappes, B Savchynskyy, C Schnörr 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1688-1695, 2012	71	2012
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing B Savchynskyy, S Schmidt, J Kappes, C Schnörr Uncertainty in Artificial Intelligence, UAI-2012, 746--755, 2012	66	2012
Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning T Beier, T Kroeger, J Kappes, U Kothe, F Hamprecht Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	65	2014
Higher-order segmentation via multicuts JH Kappes, M Speth, G Reinelt, C Schnörr Computer Vision and Image Understanding 143, 104-119, 2016	64	2016
Fusion moves for correlation clustering T Beier, FA Hamprecht, JH Kappes Proceedings of the IEEE conference on computer vision and pattern …, 2015	59	2015
Towards efficient and exact MAP-inference for large scale discrete computer vision problems via combinatorial optimization J Hendrik Kappes, M Speth, G Reinelt, C Schnorr Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	46	2013
The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht ECCV 2012, 2012	39	2012
An empirical comparison of inference algorithms for graphical models with higher order factors using OpenGM B Andres, JH Kappes, U Köthe, C Schnörr, FA Hamprecht Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22 …, 2010	38	2010
Partial optimality by pruning for MAP-inference with general graphical models P Swoboda, B Savchynskyy, JH Kappes, C Schnorr Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	37	2014
Global MAP-optimality by shrinking the combinatorial search area with convex relaxation B Savchynskyy, JH Kappes, P Swoboda, C Schnörr Advances in Neural Information Processing Systems 26, 2013	31	2013
Partial optimality via iterative pruning for the Potts model P Swoboda, B Savchynskyy, J Kappes, C Schnörr Scale Space and Variational Methods in Computer Vision: 4th International …, 2013	23	2013

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