Publications

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Journal Article
B. Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x, ArXiv e-prints, 2010.PDF icon Technical Report (415.54 KB)
B. Andres, Beier, T., and Kappes, J. H., OpenGM: A C++ Library for Discrete Graphical Models, ArXiv e-prints, 2012.
B. Andres, Kappes, J. H., Köthe, U., and Hamprecht, F. A., The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search, ArXiv e-prints, 2010.PDF icon Technical Report (625.06 KB)
B. Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., How to Extract the Geometry and Topology from Very Large 3D Segmentations, ArXiv e-prints, 2010.PDF icon Technical Report (1.44 MB)
B. Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.PDF icon Technical Report (1.58 MB)
J. Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data, CVPR 2012. Proceedings, pp. 1004-1011, 2012.PDF icon Technical Report (1.64 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, CoRR, vol. abs/1404.0533, 2014.PDF icon Technical Report (3.32 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, pp. 1-30, 2015.PDF icon Technical Report (1.5 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, Int.~J.~Comp.~Vision, 2015.PDF icon Technical Report (5.12 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, CoRR, 2014.
B. Andres, Köthe, U., Kröger, T., Helmstaedter, M., Briggmann, K. L., Denk, W., and Hamprecht, F. A., 3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries, Medical Image Analysis, vol. 16 (2012), pp. 796-805, 2012.PDF icon Technical Report (20.85 MB)
Conference Paper
B. Andres, Hamprecht, F. A., and Garbe, C. S., Selection of Local Optical Flow Models by Means of Residual Analysis, in Pattern Recognition, 2007, vol. 4713, pp. 72-81.PDF icon Technical Report (229.64 KB)
B. Andres, Garbe, C. S., Schnörr, C., and Jähne, B., Selection of local optical flow models by means of residual analysis, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, p. 72--81.
B. Andres, Köthe, U., Helmstaedter, M., Denk, W., and Hamprecht, F. A., Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification, in Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings, 2008, vol. 5096, pp. 142-152.PDF icon Technical Report (1.21 MB)
B. Andres, Köthe, U., Bonea, A., Nadler, B., and Hamprecht, F. A., Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times, in Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings, 2009, vol. 5748, pp. 502-511.PDF icon Technical Report (3.08 MB)
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in Proceedings of ICCV, 2011.
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in Proceedings of ICCV, 2011.PDF icon Technical Report (2.95 MB)
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in ICCV, Proceedings, 2011, pp. 2611 - 2618.PDF icon Technical Report (8.18 MB)
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models, in ECCV 2012, 2012.PDF icon Technical Report (532.64 KB)
B. Andres, Kappes, J. Hendrik, Beier, T., Köthe, U., and Hamprecht, F. A., The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models, in ECCV 2012, 2012.
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models, in Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}, 2012.PDF icon Technical Report (446.28 KB)
E. Levinkov, Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., and Andres, B., Joint graph decomposition & node labeling: Problem, algorithms, applications, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 1904–1912.
A. Kirillov, Levinkov, E., Andres, B., Savchynskyy, B., and Rother, C., InstanceCut: From edges to instances with MultiCut, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 7322–7331.
J. Hendrik Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., Globally Optimal Image Partitioning by Multicuts, in EMMCVPR, 2011.
J. H. Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., Globally Optimal Image Partitioning by Multicuts, in EMMCVPR, 2011, pp. 31-44.PDF icon Technical Report (7.3 MB)
J. H. Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., Globally Optimal Image Partitioning by Multicuts, in EMMCVPR, 2011.PDF icon Technical Report (7.47 MB)

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