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 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 (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int.~J.~Comp.~Vision\par \par  Beier, T, Hamprecht, F A and Kappes, J H (2015). Fusion Moves for Correlation Clustering. CVPR. Proceedings. 3507-3516\par \par  Kappes, J H, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2015). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc.~SSVM. Springer\par \par  Kappes, J H, Petra, S, Schn\'f6rr, C and Zisler, M (2015). TomoGC: Binary Tomography by Constrained Graph Cuts. Proc.~GCPR\par \par  Kr\'f6ger, T, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2014). Asymmetric Cuts: Joint Image Labeling and Partitioning. Pattern Recognition - 36th German Conference, \{GCPR\} 2014, M\'fcnster, Germany, September 2-5, 2014, Proceedings. http://dx.doi.org/10.1007/978-3-319-11752-2_16\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, 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  Beier, T, Kr\'f6ger, T, Kappes, J H, K\'f6the, U and Hamprecht, F A (2014). Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning. 2014 \{IEEE\} Conference on Computer Vision and Pattern Recognition, \{CVPR\} 2014, Columbus, OH, USA, June 23-28, 2014. http://dx.doi.org/10.1109/CVPR.2014.17\par \par  Kappes, J H, Beier, T and Schn\'f6rr, C (2014). MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. Computer Vision - \{ECCV\} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part \{II\}. http://dx.doi.org/10.1007/978-3-319-16181-5_37\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General GraphicalModels. CVPR. Proceedings. 1170-1177\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  Savchynskyy, B, Kappes, J H, Swoboda, P and Schn\'f6rr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Areawith Convex Relaxation. NIPS. Proceedings. 1950-1958\par \par  Savchynskyy, B, Kappes, J H, Swoboda, P and Schn\'f6rr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS\par \par  Kappes, J H, Speth, M, Reinelt, G and Schn\'f6rr, C (2013). Higher-order Segmentation via Multicuts. ArXiv e-prints\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM. 477-488\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Persistency by Pruning for General Graphical Models. submitted to NIPS 2013\par \par  Kappes, J H, Speth, M, Reinelt, G and Schn\'f6rr, C (2013). Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR\par \par  Kappes, J H, Speth, M, Reinelt, G and Schn\'f6rr, C (2013). Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. 105 (3) 269-297\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269--297. http://dx.doi.org/10.1007/s11263-013-0639-7\par \par  Kappes, J H, Savchynskyy, B and Schn\'f6rr, C (2012). A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation. CVPR\par \par  Kappes, J H, Savchynskyy, B and Schn\'f6rr, C (2012). A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation. CVPR. Proceedings. 1688-1695\par \par  Savchynskyy, B, Schmidt, S, Kappes, J H and Schn\'f6rr, C (2012). Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI 2012\par \par  Savchynskyy, B, Schmidt, S, Kappes, J H and Schn\'f6rr, C (2012). Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI. Proceedings. 746-755\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  Schmidt, S, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2011). Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR. Springer. 6819 89-103\par \par  Schmidt, S, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2011). Evaluation of a First-Order Primal-Dual Algorithm for MRF EnergyMinimization. EMMCVPR 2011. Springer. 6819 89-103\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  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  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, 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  Savchynskyy, B, Kappes, J H, Schmidt, S and Schn\'f6rr, C (2011). A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)\par \par  Savchynskyy, B, Kappes, J H, Schmidt, S and Schn\'f6rr, C (2011). A Study of Nesterov's Scheme for Lagrangian Decomposition and MAPLabeling. IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), accepted as oral presentation. 1817 - 1823\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision (ICCV). 1692 -- 1699\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision ICCV. 1692-1699\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  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 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  Kappes, J H, Schmidt, S and Schn\'f6rr, C (2010). MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. European Conference on Computer Vision (ECCV). Springer Berlin / Heidelberg. 6313 735--747\par \par  Kappes, J H, Schmidt, S and Schn\'f6rr, C (2010). MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. European Conference on Computer Vision (ECCV). Springer. 6313 735--747\par \par  Bergtholdt, M, Kappes, J H, Schmidt, S and Schn\'f6rr, C (2010). A Study of Parts-Based Object Class Detection Using Complete Graphs. Int.~J.~Comp.~Vision. 87 93-117. http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s11263-009-0209-1\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F, Schn\'f6rr, C, M\'f3rken, K and Lysaker, M (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (2008). Convex Multi-Class Image Labeling By Simplex-Constrained Total Variation. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8759/\par \par  Kappes, J H and Schn\'f6rr, C (2008). MAP-Inference for Highly-Connected Graphs with DC-Programming. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 1--10\par \par  Karim, R, Bergtholdt, M, Kappes, J H and Schn\'f6rr, C (2007). Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. Pattern Recognition -- 29th DAGM Symposium. Springer. 4713 395-404\par \par  Schmidt, S, Kappes, J H, Bergtholdt, M, Pekar, V, Dries, S, Bystrov, D and Schn\'f6rr, C (2007). Spine Detection and Labeling Using a Parts-Based Graphical Model. Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007). Springer. 4584 122-133\par \par }