@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 Batra, D. and Kim, S. and Kausler, B. X. and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@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 Batra, D. and Kim, S. and Kausler, B.X. and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {kappes-1014-bench-arxiv,
title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
journal = {CoRR},
volume = {abs/1404.0533},
year = {2014},
url = {http://hci.iwr.uni-heidelberg.de/opengm2/},
author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Batra, Dhruv and Kim, Sungwoong and Kausler, Bernhard X. and Thorben Kr{\"o}ger and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@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 Batra, D. and Kim, S. and Kausler, B. X. and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@conference {Kappes-2013-benchmark,
title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem},
booktitle = {CVPR},
year = {2013},
author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Batra, Dhruv and Kim, Sungwoong and Kausler, Bernhard X. and Lellmann, Jan and Komodakis, Nikos and Carsten Rother}
}
@conference {kappes_13_comparative,
title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems},
booktitle = {CVPR 2013. Proceedings},
year = {2013},
note = {1},
doi = {10.1109/CVPR.2013.175},
author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Batra, D. and Sungwoong, K. and Kausler, B. X. and Lellmann, J. and Komodakis, N. and Carsten Rother}
}
@article {andres_11_3d,
title = {3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries},
journal = {Medical Image Analysis},
volume = {16 (2012)},
year = {2012},
note = {1},
pages = {796-805},
doi = {10.1016/j.media.2011.11.004},
author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Helmstaedter, M. and Briggman, K.L. and Denk, W. and Fred A. Hamprecht}
}
@conference {kausler_12_discrete,
title = {A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness},
booktitle = {ECCV 2012. Proceedings},
volume = {7574},
year = {2012},
note = {1},
pages = {144-157},
doi = {10.1007/978-3-642-33712-3_11},
author = {Kausler, B. X. and Schiegg, M. and Bj{\"o}rn Andres and Lindner, M. and Ullrich K{\"o}the and Leitte, H. and Wittbrodt, J. and Hufnagel, L. and Fred A. Hamprecht}
}
@article {funke_12_efficient,
title = {Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data},
journal = {CVPR 2012. Proceedings},
year = {2012},
note = {1},
pages = {1004-1011},
doi = {10.1109/CVPR.2012.6247777},
author = {Funke, J. and Bj{\"o}rn Andres and Fred A. Hamprecht and Cardona, A. and Cook, M.}
}
@conference {andres_12_globally,
title = {Globally Optimal Closed-Surface Segmentation for Connectomics},
booktitle = {ECCV 2012. Proceedings, Part 3},
number = {7574},
year = {2012},
note = {1},
pages = {778-791},
doi = {10.1007/978-3-642-33712-3_56},
author = {Bj{\"o}rn Andres and Thorben Kr{\"o}ger and Briggmann, K. L. and Denk, W. and Norogod, N. and Knott, G. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {andres_12_lazy,
title = {The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models},
booktitle = {Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}},
year = {2012},
doi = {10.1007/978-3-642-33786-4_12},
url = {http://dx.doi.org/10.1007/978-3-642-33786-4_12},
author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres12,
title = {The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models},
booktitle = {ECCV 2012},
year = {2012},
author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {andres2012opengm,
title = {OpenGM: A C++ Library for Discrete Graphical Models},
journal = {ArXiv e-prints},
year = {2012},
note = {Projectpage: http://hci.iwr.uni-heidelberg.de/opengm2/},
author = {Bj{\"o}rn Andres and Thorsten Beier and J{\"o}rg H. Kappes}
}
@phdthesis {andres_11_automated,
title = {Automated Segmentation of Large 3D Images of Nervous Systems Using a Higher-order Graphical Model},
year = {2011},
note = {1},
publisher = {University of Heidelberg},
author = {Bj{\"o}rn Andres}
}
@conference {kappes_11_globally,
title = {Globally Optimal Image Partitioning by Multicuts},
booktitle = {EMMCVPR},
year = {2011},
note = {1},
pages = {31-44},
publisher = {Springer},
organization = {Springer},
doi = {10.1007/978-3-642-23094-3_3},
author = {J{\"o}rg H. Kappes and Speth, M. and Bj{\"o}rn Andres and Reinelt, G. and Christoph Schn{\"o}rr}
}
@conference {Kappes11,
title = {Globally Optimal Image Partitioning by Multicuts},
booktitle = {EMMCVPR},
year = {2011},
publisher = {Springer},
organization = {Springer},
author = {J{\"o}rg H. Kappes and Speth, Markus and Bj{\"o}rn Andres and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@conference {andres_11_probabilistic,
title = {Probabilistic Image Segmentation with Closedness Constraints},
booktitle = {ICCV, Proceedings},
year = {2011},
note = {1},
pages = {2611 - 2618},
doi = {10.1109/ICCV.2011.6126550},
author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres11,
title = {Probabilistic Image Segmentation with Closedness Constraints},
booktitle = {Proceedings of ICCV},
year = {2011},
author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Kappes-DAGM2010,
title = {An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM},
booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
year = {2010},
author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@conference {andres_10_empirical,
title = {An Empirical Comparison of Inference Algorithms for Graphical Models
with Higher Order Factors Using OpenGM},
booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
number = {6376},
year = {2010},
note = {1},
pages = {353-362},
doi = {10.1007/978-3-642-15986-2_36},
author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@conference {koethe_10_geometric,
title = {Geometric Analysis of 3D Electron Microscopy Data},
booktitle = {Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM)},
year = {2010},
note = {1},
pages = {22-26},
author = {Ullrich K{\"o}the and Bj{\"o}rn Andres and Thorben Kr{\"o}ger and Fred A. Hamprecht},
editor = {Ullrich K{\"o}the and Montanvert, A. and Soille, P.}
}
@article {andres_10_how,
title = {How to Extract the Geometry and Topology from Very Large 3D Segmentations},
journal = {ArXiv e-prints},
year = {2010},
note = {1},
url = {http://arxiv.org/abs/1009.6215},
author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Fred A. Hamprecht}
}
@article {andres_10_lazy,
title = {The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search},
journal = {ArXiv e-prints},
year = {2010},
note = {1},
url = {http://arxiv.org/abs/1009.4102},
author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {andres_10_runtime,
title = {Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x},
journal = {ArXiv e-prints},
year = {2010},
note = {1},
url = {http://arxiv.org/abs/1008.2909v1},
author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Fred A. Hamprecht}
}
@conference {andres_09_quantitative,
title = {Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times},
booktitle = {Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings},
volume = {5748},
year = {2009},
note = {1},
pages = {502-511},
publisher = {Springer},
organization = {Springer},
doi = {10.1007/978-3-642-03798-6},
author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Bonea, A. and Nadler, B. and Fred A. Hamprecht}
}
@conference {andres2008,
title = {On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008},
year = {2008},
pages = {1--6},
publisher = {IEEE},
organization = {IEEE},
abstract = {Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated errors in variables. Established total least squares methods estimate the most likely corrections Acirc and bcirc to a given data matrix [A, b] perturbed by additive Gaussian noise, such that there exists a solution y with [A + Acirc, b +bcirc]y = 0. In practice, regression imposes a more restrictive constraint namely the existence of a solution x with [A + Acirc]x = [b + bcirc]. In addition, more complicated correlations arise canonically from the use of linear filters. We, therefore, propose a maximum likelihood estimator for regression in the general case of arbitrary positive definite covariance matrices. We show that Acirc, bcirc and x can be found simultaneously by the unconstrained minimization of a multivariate polynomial which can, in principle, be carried out by means of a Grobner basis. Results for plane fitting and optical flow computation indicate the superiority of the proposed method.},
doi = {10.1109/CVPR.2008.4587571},
author = {Bj{\"o}rn Andres and Claudia Kondermann and Daniel Kondermann and Fred A. Hamprecht and Christoph S. Garbe}
}
@article {andres_08_errors-in-variables,
title = {On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation},
journal = {Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on},
year = {2008},
note = {1},
pages = {1-6},
doi = {10.1109/CVPR.2008.4587571},
author = {Bj{\"o}rn Andres and Claudia Kondermann and Daniel Kondermann and Ullrich K{\"o}the and Fred A. Hamprecht and Christoph S. Garbe}
}
@incollection {garbe_08_nonlinear,
title = {Nonlinear Analysis of Multi-Dimensional Signals},
journal = {Mathematical Methods in Signal Processing and Digital Image Analysis},
year = {2008},
note = {1},
pages = {231-288},
publisher = {Springer},
doi = {10.1007/978-3-540-75632-3_7},
author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Schuchert, T. and Hanno Scharr and Til Aach and Erhardt Barth},
editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@incollection {garbe2008,
title = {Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns},
journal = {Mathematical Methods in Time Series Analysis and Digital Image Processing},
year = {2008},
pages = {231-288},
publisher = {Springer},
abstract = {We consider the general task of accurately detecting and quantifying orientations in n-dimensional signals s. The main emphasis will be placed on the estimation of motion, which can be thought of as orientation in spatiotemporal signals. Associated problems such as the optimization of matched kernels for deriving isotropic and highly accurate gradients from the signals, optimal integration of local models, and local model selection will also be addressed.},
doi = {10.1007/978-3-540-75632-3_7},
author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Tobias Schucher and Hanno Scharr and Til Aach and Erhardt Barth},
editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@conference {andres_08_segmentation,
title = {Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification},
booktitle = {Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings},
volume = {5096},
year = {2008},
note = {1},
pages = {142-152},
publisher = {Springer},
organization = {Springer},
doi = {10.1007/978-3-540-69321-5_15},
author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Helmstaedter, M. and Denk, W. and Fred A. Hamprecht},
editor = {Gerhard Rigoll}
}
@mastersthesis {andres2007a,
title = {Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis},
year = {2007},
school = {University of Heidelberg},
author = {Bj{\"o}rn Andres}
}
@mastersthesis {andres_07_model,
title = {Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis},
year = {2007},
note = {1},
school = {University of Heidelberg},
author = {Bj{\"o}rn Andres}
}
@conference {andres_07_selection,
title = {Selection of Local Optical Flow Models by Means of Residual Analysis},
booktitle = {Pattern Recognition},
volume = {4713},
year = {2007},
note = {1},
pages = {72-81},
publisher = {Springer},
organization = {Springer},
doi = {10.1007/978-3-540-74936-3_8},
author = {Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph S. Garbe},
editor = {Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@conference {andres2007,
title = {Selection of local optical flow models by means of residual analysis},
booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
year = {2007},
pages = {72--81},
publisher = {Springer},
organization = {Springer},
abstract = {This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric models of local optical flow. These models give rise to parameter estimation problems with highly correlated errors in variables (EIV). Regression is hence performed by equilibrated total least squares. The authors suggest to adaptively select motion models by testing local empirical regression residuals to be in accordance with the probability distribution that is theoretically predicted by the EIV model. Motion estimation with residual-based model selection is examined on artificial sequences designed to test specifically for the properties of the model selection process. These simulations indicate a good performance in the exclusion of inappropriate models and yield promising results in model complexity control.},
doi = {10.1007/978-3-540-74936-3_8},
author = {Bj{\"o}rn Andres and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
editor = {Fred A. Hamprecht and Fred A. Hamprecht}
}