Jörg Hendrik Kappes

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Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityEmail confirmado em math.uni-heidelberg.de
Bogdan SavchynskyyGroup Leader at Heidelberg University, GermanyEmail confirmado em iwr.uni-heidelberg.de
Fred A. HamprechtProfessor, Heidelberg UniversityEmail confirmado em iwr.uni-heidelberg.de
Bjoern AndresTU DresdenEmail confirmado em andres.sc
Stefan SchmidtHeidelberg Engineering GmbHEmail confirmado em math.uni-heidelberg.de
Thorsten BeierQuantStackEmail confirmado em quantstack.net
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergEmail confirmado em iwr.uni-heidelberg.de
Jan LellmannUniversity of LuebeckEmail confirmado em uni-luebeck.de
Paul SwobodaHeinrich-Heine Universität DüsseldorfEmail confirmado em hhu.de
Dhruv BatraPrev: FAIR (Meta AI), Georgia TechEmail confirmado em dhruvbatra.com
Nikos KomodakisAssociate Professor, Computer Science Department, University of CreteEmail confirmado em csd.uoc.gr
Sebastian NowozinGoogle DeepMindEmail confirmado em deepmind.com
Bernhard X. KauslerEmail confirmado em kausler.net
Carsten RotherProfessor Uni Heidelberg / GermanyEmail confirmado em iwr.uni-heidelberg.de
Sungwoong KimAssociate Professor, Korea UniversityEmail confirmado em korea.ac.kr
Florian BeckerSony Europe B.V.Email confirmado em sony.com
Vladimir PekarGE HealthCareEmail confirmado em ge.com
Daniel BystrovSenior Scientist, Philips Research HamburgEmail confirmado em philips.com
Jing YuanDistinguished Professor, College of Math. Med., Zhejiang Normal Univ.Email confirmado em zjnu.edu.cn
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyEmail confirmado em technion.ac.il

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Jörg Hendrik Kappes

Heidelberg Engineering

Email confirmado em math.uni-heidelberg.de

Combinatorial Optimization Discrete Optimization Graphical Models Markov Random Fields Computer Vision


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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	248	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	225	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	201	2007
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	190	2010
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	189	2009
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	129	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	108	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	72	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
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	64	2014
Fusion moves for correlation clustering T Beier, FA Hamprecht, JH Kappes Proceedings of the IEEE conference on computer vision and pattern …, 2015	60	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	48	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
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	38	2014
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
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
MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation JH Kappes, S Schmidt, C Schnörr European Conference on Computer Vision, 735-747, 2010	24	2010

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