Publications
Asymmetric Cuts: Joint Image Labeling and Partitioning. Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings. http://dx.doi.org/10.1007/978-3-319-11752-2_16
Technical Report (3.46 MB)
(2014). 
A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation. CVPR
Technical Report (430.63 KB)
(2012). 
A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation. CVPR. Proceedings. 1688-1695
(2012). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013. Proceedings
Technical Report (1.35 MB)
(2013). 
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem. CVPR
Technical Report (1.35 MB)
(2013). 
Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162
(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
Technical Report (1.75 MB)
(2009). 
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
Technical Report (10.06 MB)
(2014). 
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI 2012
Technical Report (529 KB)
(2012). 
An Empirical Comparison of Inference Algorithms for Graphical Models
with Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium. 353-362
(2010). An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium
Technical Report (218.43 KB)
(2010). 
Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy
Minimization. EMMCVPR 2011. Springer. 6819 89-103
(2011). Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR. Springer. 6819 89-103
Technical Report (684.13 KB)
(2011). (2015). 
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS
Technical Report (499.17 KB)
(2013). 
Global MAP-Optimality by Shrinking the Combinatorial Search Area
with Convex Relaxation. NIPS. Proceedings. 1950-1958
(2013). (2011). Globally Optimal Image Partitioning by Multicuts. EMMCVPR. Springer. 31-44
Technical Report (7.3 MB)
(2011). 
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. Pattern Recognition -- 29th DAGM Symposium. Springer. 4713 395-404
Technical Report (491.56 KB)
(2007). 
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
Technical Report (446.28 KB)
(2012). 
The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models. ECCV 2012
Technical Report (532.64 KB)
(2012). 
Learning of Graphical Models and Efficient Inference for Object Class Recognition. Proc.~DAGM 2006. Springer. 375-388 375-388
(2006). MAP-Inference for Highly-Connected Graphs with DC-Programming. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 1--10
Technical Report (1.91 MB)
(2008). 
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
Technical Report (557.49 KB)
(2014). 
MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. European Conference on Computer Vision (ECCV). Springer Berlin / Heidelberg. 6313 735--747
Technical Report (1.49 MB)
(2010). 
MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. European Conference on Computer Vision (ECCV). Springer. 6313 735--747
(2010). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014
Technical Report (703.34 KB)
(2014). 
Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)
Technical Report (159.71 KB)
(2013). 
Partial Optimality via Iterative Pruning for the Potts Model. Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM. 477-488
(2013). Persistency by Pruning for General Graphical Models. submitted to NIPS 2013
(2013). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc.~SSVM. Springer
Technical Report (1.1 MB)
(2015). 
Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCV
Technical Report (2.95 MB)
(2011). 
Probabilistic Image Segmentation with Closedness Constraints. ICCV, Proceedings. 2611 - 2618
Technical Report (8.18 MB)
(2011). 
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
Technical Report (1.46 MB)
(2007). 
A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
Technical Report (408.99 KB)
(2011). 