@article {6152,
	title = {A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems},
	journal = {arXiv, preprint},
	year = {2016},
	url = {https://arxiv.org/pdf/1612.05460.pdf},
	author = {Swoboda, P. and Kuske, J. and Savchynskyy, B.}
}
@article {Kappes2016,
	title = {Multicuts and Perturb \& MAP for Probabilistic Graph Clustering},
	journal = {J. Math. Imag. Vision},
	volume = {56},
	number = {2},
	year = {2016},
	pages = {221{\textendash}237},
	author = {Kappes, J.H. and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Schn{\"o}rr, C.}
}
@article {Swoboda2016,
	title = {Partial Optimality by Pruning for MAP-Inference with General Graphical Models},
	journal = {IEEE Trans. Patt. Anal. Mach. Intell.},
	volume = {38},
	number = {7},
	year = {2016},
	pages = {1370{\textendash}1382},
	author = {Swoboda, P. and Shekhovtsov, A. and Kappes, J.H. and Schn{\"o}rr, C. and Savchynskyy, B.}
}
@article {Kappes2015,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {Int.~J.~Comp.~Vision},
	year = {2015},
	note = {in press (preprint: arXiv:1404.0533)},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {kappes_15_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	year = {2015},
	note = {1},
	pages = {1-30},
	doi = {10.1007/s11263-015-0809-x},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc.~SSVM},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg H. Kappes and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Christoph Schn{\"o}rr}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {Kappes, J. and Swoboda, P. and Savchynskyy, B. and Hazan , T. and Schn{\"o}rr, C.}
}
@article {kappes_14_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured
Discrete Energy Minimization Problems},
	journal = {CoRR},
	year = {2014},
	note = {1},
	url = {http://arxiv.org/abs/1404.0533},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {swoboda_14_partial,
	title = {Partial Optimality by Pruning for MAP-inference with General GraphicalModels},
	year = {2014},
	pages = {1170-1177},
	doi = {10.1109/CVPR.2014.153},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {savchynskyy_13_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	booktitle = {Workshop on Inference for Probabilistic Graphical Models at ICCV.
Proceedings},
	year = {2013},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {savchynskyy_13_global,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area
with Convex Relaxation},
	booktitle = {NIPS. Proceedings},
	year = {2013},
	note = {1},
	pages = {1950-1958},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Swoboda, P. and Christoph Schn{\"o}rr}
}
@conference {swoboda_13_partial,
	title = {Partial Optimality via Iterative Pruning for the Potts Model},
	booktitle = {Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM},
	number = {7893},
	year = {2013},
	note = {1},
	pages = {477-488},
	doi = {10.1007/978-3-642-38267-3_40},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {swoboda_13_persistency,
	title = {Persistency by Pruning for General Graphical Models},
	booktitle = {submitted to NIPS 2013.},
	year = {2013},
	author = {Swoboda, P. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {kappes_12_bundle,
	title = {A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation},
	booktitle = {CVPR. Proceedings},
	year = {2012},
	note = {1},
	pages = {1688-1695},
	doi = {10.1109/CVPR.2012.6247863},
	author = {J{\"o}rg H. Kappes and Savchynskyy, B. and Christoph Schn{\"o}rr}
}
@article {savchynskyy_12_efficient,
	title = {Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing},
	journal = {UAI. Proceedings},
	year = {2012},
	note = {1},
	pages = {746-755},
	author = {Savchynskyy, B. and Schmidt, S. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@article {savchynskyy_12_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	journal = {arXiv:1210.4081},
	year = {2012},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {schmidt_11_evaluation,
	title = {Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy
Minimization},
	booktitle = {EMMCVPR 2011},
	volume = {6819},
	year = {2011},
	note = {1},
	pages = {89-103},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23094-3_7},
	author = {Schmidt, S. and Savchynskyy, B. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Savchynskyy-CVPR2011,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP Labeling},
	booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2011},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr}
}
@conference {Savchynskyy-CVPR2011,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP Labeling},
	booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2011},
	author = {Savchynskyy, B. and Kappes, J. H. and Schmidt, S. and Schn{\"o}rr, C.}
}
@article {savchynskyy_11_study_supplement,
	title = {A Study of Nesterov{\textquoteright}s Scheme for Lagrangian Decomposition and MAP
Labeling},
	journal = {IEEE International Conference on Computer Vision and Pattern Recognition
(CVPR), accepted as oral presentation},
	year = {2011},
	note = {1},
	pages = {1817 - 1823},
	doi = {10.1109/CVPR.2011.5995652},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Schmidt, S. and Christoph Schn{\"o}rr}
}
