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 Kirillov, A, Levinkov, E, Andres, B, Savchynskyy, B and Rother, C (2017). InstanceCut: From edges to instances with MultiCut. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017-Janua 7322?7331\par \par  Levinkov, E, Uhrig, J, Tang, S, Omran, M, Insafutdinov, E, Kirillov, A, Rother, C, Brox, T, Schiele, B and Andres, B (2017). Joint graph decomposition & node labeling: Problem, algorithms, applications. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017-Janua 1904?1912\par \par  Royer, L A, Richmond, D L, Rother, C, Andres, B and Kainmueller, D (2016). Convexity shape constraints for image segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2016-Decem 402?410. http://arxiv.org/abs/1509.02122\par \par  Beier, T, Andres, B, K\'f6the, U and Hamprecht, F A (2016). An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem. ECCV. Proceedings. Springer. LNCS 9906 715-730\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155?184. http://hci.iwr.uni-heidelberg.de/opengm2/\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155?184\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155?184\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int.~J.~Comp.~Vision\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 1-30\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2014). A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems. CoRR. http://arxiv.org/abs/1404.0533\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2014). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR. abs/1404.0533. http://hci.iwr.uni-heidelberg.de/opengm2/\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Sungwoong, K, Kausler, B X, Lellmann, J, Komodakis, N and Rother, C (2013). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013. Proceedings\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Lellmann, J, Komodakis, N and Rother, C (2013). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem. CVPR\par \par  Andres, B, K\'f6the, U, Kr\'f6ger, T, Helmstaedter, M, Briggmann, K L, Denk, W and Hamprecht, F A (2012). 3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries. Medical Image Analysis. 16 (2012) 796-805\par \par  Kausler, B X, Schiegg, M, Andres, B, Lindner, M, K\'f6the, U, Leitte, H, Wittbrodt, J, Hufnagel, L and Hamprecht, F A (2012). A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. ECCV 2012. Proceedings. 7574 144-157\par \par  Funke, J, Andres, B, Hamprecht, F A, Cardona, A and Cook, M (2012). Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data. CVPR 2012. Proceedings. 1004-1011\par \par  Andres, B, Kr\'f6ger, T, Briggmann, K L, Denk, W, Norogod, N, Knott, G W, K\'f6the, U and Hamprecht, F A (2012). Globally Optimal Closed-Surface Segmentation for Connectomics. ECCV 2012. Proceedings, Part 3. 778-791\par \par  Andres, B, Kappes, J Hendrik, Beier, T, K\'f6the, U and Hamprecht, F A (2012). The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models. ECCV 2012\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2012). The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models. Computer Vision - \{ECCV\} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part \{VII\}. http://dx.doi.org/10.1007/978-3-642-33786-4_12\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2012). The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models. ECCV 2012\par \par  Andres, B, Beier, T and Kappes, J H (2012). OpenGM: A C++ Library for Discrete Graphical Models. ArXiv e-prints\par \par  Andres, B (2011). Automated Segmentation of Large 3D Images of Nervous Systems Using a Higher-order Graphical Model. University of Heidelberg\par \par  Kappes, J H, Speth, M, Andres, B, Reinelt, G and Schn\'f6rr, C (2011). Globally Optimal Image Partitioning by Multicuts. EMMCVPR. Springer. 31-44\par \par  Kappes, J Hendrik, Speth, M, Andres, B, Reinelt, G and Schn\'f6rr, C (2011). Globally Optimal Image Partitioning by Multicuts. EMMCVPR. Springer\par \par  Kappes, J H, Speth, M, Andres, B, Reinelt, G and Schn\'f6rr, C (2011). Globally Optimal Image Partitioning by Multicuts. EMMCVPR. Springer\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCV\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCV\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. ICCV, Proceedings. 2611 - 2618\par \par  Andres, B, Kappes, J H, K\'f6the, U, Schn\'f6rr, C and Hamprecht, F A (2010). An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium\par \par  Andres, B, Kappes, J H, K\'f6the, U, Schn\'f6rr, C and Hamprecht, F A (2010). An Empirical Comparison of Inference Algorithms for Graphical Modelswith Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium. 353-362\par \par  K\'f6the, U, Andres, B, Kr\'f6ger, T and Hamprecht, F A (2010). Geometric Analysis of 3D Electron Microscopy Data. Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM). 22-26\par \par  Andres, B, K\'f6the, U, Kr\'f6ger, T and Hamprecht, F A (2010). How to Extract the Geometry and Topology from Very Large 3D Segmentations. ArXiv e-prints. http://arxiv.org/abs/1009.6215\par \par  Andres, B, Kappes, J H, K\'f6the, U and Hamprecht, F A (2010). The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search. ArXiv e-prints. http://arxiv.org/abs/1009.4102\par \par  Andres, B, K\'f6the, U, Kr\'f6ger, T and Hamprecht, F A (2010). Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x. ArXiv e-prints. http://arxiv.org/abs/1008.2909v1\par \par  Andres, B, K\'f6the, U, Bonea, A, Nadler, B and Hamprecht, F A (2009). Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times. Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Springer. 5748 502-511\par \par  Andres, B, Kondermann, C, Kondermann, D, K\'f6the, U, Hamprecht, F A and Garbe, C S (2008). On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. 1-6\par \par  Andres, B, Kondermann, C, Kondermann, D, Hamprecht, F A and Garbe, C S (2008). On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008. IEEE. 1--6\par \par  Garbe, C S, Krajsek, K, Pavlov, P, Andres, B, M\'fchlich, M, Stuke, I, Mota, C, B\'f6hme, M, Haker, M, Schuchert, T, Scharr, H, Aach, T and Barth, E (2008). Nonlinear Analysis of Multi-Dimensional Signals. Mathematical Methods in Signal Processing and Digital Image Analysis. Springer. 231-288\par \par  Garbe, C S, Krajsek, K, Pavlov, P, Andres, B, M\'fchlich, M, Stuke, I, Mota, C, B\'f6hme, M, Haker, M, Schucher, T, Scharr, H, Aach, T and Barth, E (2008). Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns. Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer. 231-288\par \par  Andres, B, K\'f6the, U, Helmstaedter, M, Denk, W and Hamprecht, F A (2008). Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings. Springer. 5096 142-152\par \par  Andres, B (2007). Model Selection In Optical Flow-Based Motion Estimation By Means Of Residual Analysis. University of Heidelberg\par \par  Andres, B (2007). Model Selection In Optical Flow-Based Motion Estimation By Means Of Residual Analysis. University of Heidelberg\par \par  Andres, B, Hamprecht, F A and Garbe, C S (2007). Selection of Local Optical Flow Models by Means of Residual Analysis. Pattern Recognition. Springer. 4713 72-81\par \par  Andres, B, Garbe, C S, Schn\'f6rr, C and J\'e4hne, B (2007). Selection of local optical flow models by means of residual analysis. Proceedings of the 29th DAGM Symposium on Pattern Recognition. Springer. 72--81\par \par }