Jörg Hendrik Kappes

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	2229	504
h-индекс	22	12
i10-индекс	29	14

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2008200920102011201220132014201520162017201820192020202120222023202420259 18 36 76 100 152 232 265 228 199 165 182 150 78 99 97 71 9

Публичен достъп

Преглед на всички

19 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityПотвърден имейл адрес: math.uni-heidelberg.de
Bogdan SavchynskyyGroup Leader at Heidelberg University, GermanyПотвърден имейл адрес: iwr.uni-heidelberg.de
Fred A. HamprechtProfessor, Heidelberg UniversityПотвърден имейл адрес: iwr.uni-heidelberg.de
Bjoern AndresTU DresdenПотвърден имейл адрес: andres.sc
Stefan SchmidtHeidelberg Engineering GmbHПотвърден имейл адрес: math.uni-heidelberg.de
Thorsten BeierQuantStackПотвърден имейл адрес: quantstack.net
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergПотвърден имейл адрес: iwr.uni-heidelberg.de
Jan LellmannUniversity of LuebeckПотвърден имейл адрес: uni-luebeck.de
Paul SwobodaHeinrich-Heine Universität DüsseldorfПотвърден имейл адрес: hhu.de
Dhruv BatraPrev: FAIR (Meta AI), Georgia TechПотвърден имейл адрес: dhruvbatra.com
Nikos KomodakisAssociate Professor, Computer Science Department, University of CreteПотвърден имейл адрес: csd.uoc.gr
Sebastian NowozinGoogle DeepMindПотвърден имейл адрес: deepmind.com
Bernhard X. KauslerПотвърден имейл адрес: kausler.net
Carsten RotherProfessor Uni Heidelberg / GermanyПотвърден имейл адрес: iwr.uni-heidelberg.de
Sungwoong KimAssociate Professor, Korea UniversityПотвърден имейл адрес: korea.ac.kr
Florian BeckerSony Europe B.V.Потвърден имейл адрес: sony.com
Vladimir PekarGE HealthCareПотвърден имейл адрес: ge.com
Daniel BystrovSenior Scientist, Philips Research HamburgПотвърден имейл адрес: philips.com
Jing YuanDistinguished Professor, College of Math. Med., Zhejiang Normal Univ.Потвърден имейл адрес: zjnu.edu.cn
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyПотвърден имейл адрес: technion.ac.il

Следене

Jörg Hendrik Kappes

Heidelberg Engineering

Потвърден имейл адрес: math.uni-heidelberg.de

Combinatorial Optimization Discrete Optimization Graphical Models Markov Random Fields Computer Vision


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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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