Jörg Hendrik Kappes
Jörg Hendrik Kappes
Heidelberg Engineering
Bestätigte E-Mail-Adresse bei math.uni-heidelberg.de
TitelZitiert vonJahr
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
2872013
Convex multi-class image labeling by simplex-constrained total variation
J Lellmann, J Kappes, J Yuan, F Becker, C Schnörr
International conference on scale space and variational methods in computer …, 2009
1522009
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 (1-2), 93, 2010
1442010
Spine detection and labeling using a parts-based graphical model
S Schmidt, J Kappes, M Bergtholdt, V Pekar, S Dries, D Bystrov, ...
Biennial International Conference on Information Processing in Medical …, 2007
1122007
OpenGM: A C++ library for discrete graphical models
B Andres, T Beier, JH Kappes
arXiv preprint arXiv:1206.0111, 2012
832012
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
762011
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
582011
Globally optimal image partitioning by multicuts
JH Kappes, M Speth, B Andres, G Reinelt, C Schn
International Workshop on Energy Minimization Methods in Computer Vision and …, 2011
522011
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
492012
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
432012
Higher-order segmentation via multicuts
JH Kappes, M Speth, G Reinelt, C Schnörr
Computer Vision and Image Understanding 143, 104-119, 2016
382016
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
342014
Fusion moves for correlation clustering
T Beier, FA Hamprecht, JH Kappes
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
322015
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
Joint Pattern Recognition Symposium, 353-362, 2010
322010
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
312013
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
292012
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
262014
Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences
F Becker, F Lenzen, JH Kappes, C Schnörr
International journal of computer vision 105 (3), 269-297, 2013
182013
Partial optimality via iterative pruning for the Potts model
P Swoboda, B Savchynskyy, J Kappes, C Schnörr
International Conference on Scale Space and Variational Methods in Computer …, 2013
182013
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, 1950-1958, 2013
182013
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