Publications
OpenGM: A C++ Library for Discrete Graphical Models. ArXiv e-prints
(2012). 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 by Pruning for MAP-inference with General GraphicalModels. CVPR. Proceedings. 1170-1177
(2014). 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). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)
Technical Report (159.71 KB)
(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), accepted as oral presentation. 1817 - 1823
(2011). 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). 
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
Technical Report (2.18 MB)
(2010). 
(2015). (2013).
Variational Recursive Joint Estimation of Dense Scene Structure and
Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. 105 (3) 269-297
(2013). 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
(2011). 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
Technical Report (15.4 MB)
(2013). 
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
Technical Report (4.9 MB)
(2011). 