Publications
Exploratory And Computational Analysis Of Huge Volume Images For Connectomics. University of Heidelberg
(2010). Geometric Analysis of 3D Electron Microscopy Data. Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM). 22-26
Technical Report (1.43 MB)
(2010). 
How to Extract the Geometry and Topology from Very Large 3D Segmentations. ArXiv e-prints. http://arxiv.org/abs/1009.6215
Technical Report (1.44 MB)
(2010). 
Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x. ArXiv e-prints. http://arxiv.org/abs/1008.2909v1
Technical Report (415.54 KB)
(2010). 
Parametric Object Detection for Iconographic Analysis. Scientific Computing & Cultural Heritage. http://www.academia.edu/9439693/Parametric_Object_Detection_for_Iconographic_Analysis
(2011). 3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries. Medical Image Analysis. 16 (2012) 796-805
Technical Report (20.85 MB)
(2012). 
Globally Optimal Closed-Surface Segmentation for Connectomics. ECCV 2012. Proceedings, Part 3. 778-791
Technical Report (2.72 MB)
(2012). 
Learning to Segment Neurons with Non-local Quality Measures. MICCAI 2013. Proceedings, part II. Springer. 8150 419-427
Technical Report (2.87 MB)
(2013). 
Asymmetric Cuts: Joint Image Labeling and Partitioning. Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings. http://dx.doi.org/10.1007/978-3-319-11752-2_16
Technical Report (3.46 MB)
(2014). 
Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue. ISBI. Proceedings. 69-72
Technical Report (533.92 KB)
(2014). 
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR. abs/1404.0533. http://hci.iwr.uni-heidelberg.de/opengm2/
Technical Report (3.32 MB)
(2014). 
A Comparative Study of Modern Inference Techniques for Structured
Discrete Energy Minimization Problems. CoRR. http://arxiv.org/abs/1404.0533
(2014). Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning. 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014. http://dx.doi.org/10.1109/CVPR.2014.17
Technical Report (10.06 MB)
(2014). 
Learning-based Segmentation for Connectomics. University of Heidelberg
(2014). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int.~J.~Comp.~Vision
Technical Report (5.12 MB)
(2015). 
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 1-30
Technical Report (1.5 MB)
(2015). 