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ORCIDJörg H. Kappes
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2010 – 2019
- 2016
[j7]Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr:
Higher-order segmentation via multicuts. Comput. Vis. Image Underst. 143: 104-119 (2016)- [j6]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. 56(2): 221-237 (2016) - [j5]Paul Swoboda, Alexander Shekhovtsov
, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1370-1382 (2016) - [j4]Matthias Zisler, Jörg Hendrik Kappes, Claudius Schnörr, Stefania Petra, Christoph Schnörr:
Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Trans. Computational Imaging 2(3): 335-347 (2016) - [i7]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR abs/1601.02088 (2016) - 2015
- [j3]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): 155-184 (2015) - [c26]Thorsten Beier, Fred A. Hamprecht, Jörg H. Kappes:
Fusion moves for correlation clustering. CVPR 2015: 3507-3516 - [c25]Jörg Hendrik Kappes, Stefania Petra, Christoph Schnörr, Matthias Zisler:
TomoGC: Binary Tomography by Constrained GraphCuts. GCPR 2015: 262-273 - [c24]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM 2015: 231-242 - 2014
- [c23]Thorsten Beier, Thorben Kröger, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht:
Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. CVPR 2014: 73-80 - [c22]Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR 2014: 1170-1177 - [c21]Thorben Kröger, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht:
Asymmetric Cuts: Joint Image Labeling and Partitioning. GCPR 2014: 199-211 - [c20]Jörg Hendrik Kappes, Thorsten Beier, Christoph Schnörr:
MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. ECCV Workshops (2) 2014: 469-484 - [i6]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 abs/1404.0533 (2014) - [i5]Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR abs/1410.6641 (2014) - 2013
- [j2]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): 269-297 (2013) - [c19]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: 1328-1335 - [c18]Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr:
Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR 2013: 1752-1758 - [c17]Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr:
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS 2013: 1950-1958 - [c16]Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Partial Optimality via Iterative Pruning for the Potts Model. SSVM 2013: 477-488 - [i4]Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr:
Higher-order Segmentation via Multicuts. CoRR abs/1305.6387 (2013) - 2012
- [c15]Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr:
A bundle approach to efficient MAP-inference by Lagrangian relaxation. CVPR 2012: 1688-1695 - [c14]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: 154-166 - [c13]Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr:
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI 2012: 746-755 - [i3]Björn Andres, Thorsten Beier, Jörg H. Kappes:
OpenGM: A C++ Library for Discrete Graphical Models. CoRR abs/1206.0111 (2012) - [i2]Bogdan Savchynskyy, Stefan Schmidt, Jörg Hendrik Kappes, Christoph Schnörr:
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. CoRR abs/1210.4906 (2012) - 2011
- [b1]Jörg Hendrik Kappes:
Inference on highly-connected discrete graphical models with applications to visual object recognition. Heidelberg University, 2011, pp. 1-170 - [c12]Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr:
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. CVPR 2011: 1817-1823 - [c11]Jörg H. Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, Christoph Schnörr:
Globally Optimal Image Partitioning by Multicuts. EMMCVPR 2011: 31-44 - [c10]Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR 2011: 89-103 - [c9]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: 1692-1699 - [c8]Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht:
Probabilistic image segmentation with closedness constraints. ICCV 2011: 2611-2618 - 2010
- [j1]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): 93-117 (2010) - [c7]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: 353-362 - [c6]Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr:
MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. ECCV (3) 2010: 735-747 - [i1]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 abs/1009.4102 (2010)
2000 – 2009
- 2009
- [c5]Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr:
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. SSVM 2009: 150-162 - 2008
- [c4]Jörg H. Kappes, Christoph Schnörr:
MAP-Inference for Highly-Connected Graphs with DC-Programming. DAGM-Symposium 2008: 1-10 - 2007
- [c3]Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr:
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium 2007: 395-404 - [c2]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: 122-133 - 2006
- [c1]Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr:
Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium 2006: 273-283
Coauthor Index
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