Learning of Graphical Models and Efficient Inference for Object Class Recognition. - Martin Bergtholdt; Jörg H. Kappes; Christoph Schnörr (DAGM-Symposium, 2006)

Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. - Rezaul Karim; Martin Bergtholdt; Jörg H. Kappes; Christoph Schnörr (DAGM-Symposium, 2007)

Spine Detection and Labeling Using a Parts-Based Graphical Model. - Stefan Schmidt 001; Jörg H. Kappes; Martin Bergtholdt; Vladimir Pekar; Sebastian P. M. Dries; Daniel Bystrov; Christoph Schnörr (IPMI, 2007)

MAP-Inference for Highly-Connected Graphs with DC-Programming. - Jörg H. Kappes; Christoph Schnörr (DAGM-Symposium, 2008)

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. - Jan Lellmann; Jörg H. Kappes; Jing Yuan 005; Florian Becker; Christoph Schnörr (SSVM, 2009)

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. - Björn Andres; Jörg H. Kappes; Ullrich Köthe; Christoph Schnörr; Fred A. Hamprecht (DAGM-Symposium, 2010)

MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. - Jörg H. Kappes; Stefan Schmidt 001; Christoph Schnörr (ECCV (3), 2010)

The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search - Björn Andres; Jörg H. Kappes; Ullrich Köthe; Fred A. Hamprecht (CoRR, 2010)

A Study of Parts-Based Object Class Detection Using Complete Graphs. - Martin Bergtholdt; Jörg H. Kappes; Stefan Schmidt 001; Christoph Schnörr (Int. J. Comput. Vis., 2010)

A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. - Bogdan Savchynskyy; Jörg H. Kappes; Stefan Schmidt 001; Christoph Schnörr (CVPR, 2011)

Globally Optimal Image Partitioning by Multicuts. - Jörg H. Kappes; Markus Speth; Björn Andres; Gerhard Reinelt; Christoph Schnörr (EMMCVPR, 2011)

Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. - Stefan Schmidt 001; Bogdan Savchynskyy; Jörg H. Kappes; Christoph Schnörr (EMMCVPR, 2011)

Probabilistic image segmentation with closedness constraints. - Björn Andres; Jörg H. Kappes; Thorsten Beier; Ullrich Köthe; Fred A. Hamprecht (ICCV, 2011)

Inference on highly-connected discrete graphical models with applications to visual object recognition. - Jörg Hendrik Kappes (2011)

A bundle approach to efficient MAP-inference by Lagrangian relaxation. - Jörg Hendrik Kappes; Bogdan Savchynskyy; Christoph Schnörr (CVPR, 2012)

The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models. - Björn Andres; Jörg H. Kappes; Thorsten Beier; Ullrich Köthe; Fred A. Hamprecht (ECCV (7), 2012)

Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. - Bogdan Savchynskyy; Stefan Schmidt 001; Jörg H. Kappes; Christoph Schnörr (UAI, 2012)

OpenGM: A C++ Library for Discrete Graphical Models - Björn Andres; Thorsten Beier; Jörg H. Kappes (CoRR, 2012)

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. - Jörg H. Kappes; Björn Andres; Fred A. Hamprecht; Christoph Schnörr; Sebastian Nowozin; Dhruv Batra; Sungwoong Kim; Bernhard X. Kausler; Jan Lellmann; Nikos Komodakis; Carsten Rother (CVPR, 2013)

Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. - Jörg Hendrik Kappes; Markus Speth; Gerhard Reinelt; Christoph Schnörr (CVPR, 2013)

Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. - Bogdan Savchynskyy; Jörg Hendrik Kappes; Paul Swoboda; Christoph Schnörr (NIPS, 2013)

Partial Optimality via Iterative Pruning for the Potts Model. - Paul Swoboda; Bogdan Savchynskyy; Jörg H. Kappes; Christoph Schnörr (SSVM, 2013)

Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. - Florian Becker; Frank Lenzen; Jörg H. Kappes; Christoph Schnörr (Int. J. Comput. Vis., 2013)

Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. - Thorsten Beier; Thorben Kröger; Jörg H. Kappes; Ullrich Köthe; Fred A. Hamprecht (CVPR, 2014)

Partial Optimality by Pruning for MAP-Inference with General Graphical Models. - Paul Swoboda; Bogdan Savchynskyy; Jörg H. Kappes; Christoph Schnörr (CVPR, 2014)

Asymmetric Cuts: Joint Image Labeling and Partitioning. - Thorben Kröger; Jörg H. Kappes; Thorsten Beier; Ullrich Köthe; Fred A. Hamprecht (GCPR, 2014)

MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. - Jörg Hendrik Kappes; Thorsten Beier; Christoph Schnörr (ECCV Workshops (2), 2014)

Fusion moves for correlation clustering. - Thorsten Beier; Fred A. Hamprecht; Jörg H. Kappes (CVPR, 2015)

TomoGC: Binary Tomography by Constrained GraphCuts. - Jörg Hendrik Kappes; Stefania Petra; Christoph Schnörr; Matthias Zisler (GCPR, 2015)

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. - Jörg Hendrik Kappes; Paul Swoboda; Bogdan Savchynskyy; Tamir Hazan; Christoph Schnörr (SSVM, 2015)

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. - Jörg H. Kappes; Björn Andres; Fred A. Hamprecht; Christoph Schnörr; Sebastian Nowozin; Dhruv Batra; Sungwoong Kim; Bernhard X. Kausler; Thorben Kröger; Jan Lellmann; Nikos Komodakis; Bogdan Savchynskyy; et al. (Int. J. Comput. Vis., 2015)

Higher-order segmentation via multicuts. - Jörg Hendrik Kappes; Markus Speth; Gerhard Reinelt; Christoph Schnörr (Comput. Vis. Image Underst., 2016)

Multicuts and Perturb & MAP for Probabilistic Graph Clustering. - Jörg Hendrik Kappes; Paul Swoboda; Bogdan Savchynskyy; Tamir Hazan; Christoph Schnörr (J. Math. Imaging Vis., 2016)

Partial Optimality by Pruning for MAP-Inference with General Graphical Models. - Paul Swoboda; Alexander Shekhovtsov; Jörg Hendrik Kappes; Christoph Schnörr; Bogdan Savchynskyy (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. - Matthias Zisler; Jörg Hendrik Kappes; Claudius Schnörr; Stefania Petra; Christoph Schnörr (IEEE Trans. Computational Imaging, 2016)