Jörg H. Kappes

Publication Activity (10 Years)

Years Active: 2006-2015
Publications (10 Years): 0

Top Topics

Graphical Models

Energy Minimization Problems

Top Venues

Int. J. Comput. Vis.

Publications

Thorsten Beier, Fred A. Hamprecht, Jörg H. Kappes
Fusion moves for correlation clustering. CVPR (2015)
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
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115 (2) (2015)
Thorben Kröger, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht
Asymmetric Cuts: Joint Image Labeling and Partitioning. GCPR (2014)
Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR (2014)
Thorsten Beier, Thorben Kröger, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht
Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. CVPR (2014)
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
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR (2014)
Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr
Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. Int. J. Comput. Vis. 105 (3) (2013)
Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Partial Optimality via Iterative Pruning for the Potts Model. SSVM (2013)
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
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR (2013)
Björn Andres, Thorsten Beier, Jörg H. Kappes
OpenGM: A C++ Library for Discrete Graphical Models CoRR (2012)
Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI (2012)
Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht
The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models. ECCV (7) (2012)
Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht
Probabilistic image segmentation with closedness constraints. ICCV (2011)
Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR (2011)
Jörg H. Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, Christoph Schnörr
Globally Optimal Image Partitioning by Multicuts. EMMCVPR (2011)
Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr
Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences. ICCV (2011)
Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. CVPR (2011)
Björn Andres, Jörg H. Kappes, Ullrich Köthe, Christoph Schnörr, Fred A. Hamprecht
An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. DAGM-Symposium (2010)
Björn Andres, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht
The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search CoRR (2010)
Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
-Fan Decomposition and Tight Lagrangian Relaxation. ECCV (3) (2010)
Martin Bergtholdt, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
A Study of Parts-Based Object Class Detection Using Complete Graphs. Int. J. Comput. Vis. 87 (1-2) (2010)
Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. SSVM (2009)
Jörg H. Kappes, Christoph Schnörr
MAP-Inference for Highly-Connected Graphs with DC-Programming. DAGM-Symposium (2008)
Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium (2007)
Stefan Schmidt, Jörg H. Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Christoph Schnörr
Spine Detection and Labeling Using a Parts-Based Graphical Model. IPMI (2007)
Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium (2006)