Jörg H. Kappes

According to our database, Jörg H. Kappes authored at least 35 papers between 2006 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Multicuts and Perturb & MAP for Probabilistic Graph Clustering.

Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr

J. Math. Imaging Vis., 2016

Higher-order segmentation via multicuts.

Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr

Comput. Vis. Image Underst., 2016

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, Carsten Rother

Int. J. Comput. Vis., 2015

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts.

Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

TomoGC: Binary Tomography by Constrained GraphCuts.

Jörg Hendrik Kappes, Stefania Petra, Christoph Schnörr, Matthias Zisler

Proceedings of the Pattern Recognition - 37th German Conference, 2015

Fusion moves for correlation clustering.

Thorsten Beier, Fred A. Hamprecht, Jörg H. Kappes

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves.

Jörg Hendrik Kappes, Thorsten Beier, Christoph Schnörr

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Asymmetric Cuts: Joint Image Labeling and Partitioning.

Thorben Kröger, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Partial Optimality by Pruning for MAP-Inference with General Graphical Models.

Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning.

Thorsten Beier, Thorben Kröger, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

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

Partial Optimality via Iterative Pruning for the Potts Model.

Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation.

Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 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

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

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

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

OpenGM: A C++ Library for Discrete Graphical Models

Björn Andres, Thorsten Beier, Jörg H. Kappes

CoRR, 2012

Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing.

Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 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

Proceedings of the Computer Vision - ECCV 2012, 2012

A bundle approach to efficient MAP-inference by Lagrangian relaxation.

Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Inference on highly-connected discrete graphical models with applications to visual object recognition.

Jörg Hendrik Kappes

PhD thesis, 2011

Probabilistic image segmentation with closedness constraints.

Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the IEEE International Conference on Computer Vision, 2011

Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization.

Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr

Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Globally Optimal Image Partitioning by Multicuts.

Jörg H. Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, Christoph Schnörr

Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling.

Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A Study of Parts-Based Object Class Detection Using Complete Graphs.

Martin Bergtholdt, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr

Int. J. Comput. Vis., 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

MRF Inference by <i>k</i>-Fan Decomposition and Tight Lagrangian Relaxation.

Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr

Proceedings of the Computer Vision, 2010

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

Proceedings of the Pattern Recognition, 2010

2009

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation.

Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2008

MAP-Inference for Highly-Connected Graphs with DC-Programming.

Jörg H. Kappes, Christoph Schnörr

Proceedings of the Pattern Recognition, 2008

2007

Spine Detection and Labeling Using a Parts-Based Graphical Model.

Stefan Schmidt, Jörg H. Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Christoph Schnörr

Proceedings of the Information Processing in Medical Imaging, 2007

Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification.

Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr

Proceedings of the Pattern Recognition, 2007

2006

Learning of Graphical Models and Efficient Inference for Object Class Recognition.

Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr

Proceedings of the Pattern Recognition, 2006