Jörg Hendrik Kappes

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Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityCorreu electrònic verificat a math.uni-heidelberg.de
Bogdan SavchynskyyGroup Leader at Heidelberg University, GermanyCorreu electrònic verificat a iwr.uni-heidelberg.de
Fred A. HamprechtProfessor, Heidelberg UniversityCorreu electrònic verificat a iwr.uni-heidelberg.de
Bjoern AndresTU DresdenCorreu electrònic verificat a andres.sc
Stefan SchmidtHeidelberg Engineering GmbHCorreu electrònic verificat a math.uni-heidelberg.de
Thorsten BeierQuantStackCorreu electrònic verificat a quantstack.net
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergCorreu electrònic verificat a iwr.uni-heidelberg.de
Jan LellmannUniversity of LuebeckCorreu electrònic verificat a uni-luebeck.de
Paul SwobodaHeinrich-Heine Universität DüsseldorfCorreu electrònic verificat a hhu.de
Dhruv BatraGeorgia Tech | Prev: FAIR (Meta AI)Correu electrònic verificat a gatech.edu
Nikos KomodakisAssistant Professor, Computer Science Department, University of CreteCorreu electrònic verificat a csd.uoc.gr
Sebastian NowozinGoogle DeepMindCorreu electrònic verificat a deepmind.com
Bernhard X. KauslerCorreu electrònic verificat a kausler.net
Carsten RotherProfessor Uni Heidelberg / GermanyCorreu electrònic verificat a iwr.uni-heidelberg.de
Sungwoong KimAssociate Professor, Korea UniversityCorreu electrònic verificat a korea.ac.kr
Florian BeckerSony Europe B.V.Correu electrònic verificat a sony.com
Vladimir PekarGE HealthCareCorreu electrònic verificat a ge.com
Daniel BystrovSenior Scientist, Philips Research HamburgCorreu electrònic verificat a philips.com
Jing YuanDistinguished Professor, College of Math. Med., Zhejiang Normal Univ.Correu electrònic verificat a zjnu.edu.cn
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyCorreu electrònic verificat a technion.ac.il

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Jörg Hendrik Kappes

Heidelberg Engineering

Correu electrònic verificat a math.uni-heidelberg.de

Combinatorial Optimization Discrete Optimization Graphical Models Markov Random Fields Computer Vision


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	243	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	222	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	193	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	126	2011
OpenGM: A C++ library for discrete graphical models B Andres, T Beier, JH Kappes arXiv preprint arXiv:1206.0111, 2012	117	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	106	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	67	2012
Higher-order segmentation via multicuts JH Kappes, M Speth, G Reinelt, C Schnörr Computer Vision and Image Understanding 143, 104-119, 2016	64	2016
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	63	2014
Fusion moves for correlation clustering T Beier, FA Hamprecht, JH Kappes Proceedings of the IEEE conference on computer vision and pattern …, 2015	58	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	45	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	32	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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