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.

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.

L. A.  Royer, Richmond, D. L., Rother, C., Andres, B., and Kainmueller, D., ?Convexity shape constraints for image segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol. 2016-Decem, pp. 402?410.

T.  Beier, Andres, B., Köthe, U., and Hamprecht, F. A., ?An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem?, ECCV. Proceedings, vol. LNCS 9906. Springer, pp. 715-730, 2016.

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, pp. 1-30, 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?, Int.~J.~Comp.~Vision, 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 StructuredDiscrete Energy Minimization Problems?, CoRR, 2014.

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.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems?, in CVPR 2013. Proceedings, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem?, in CVPR, 2013.

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.

B. X.  Kausler, Schiegg, M., Andres, B., Lindner, M., Köthe, U., Leitte, H., Wittbrodt, J., Hufnagel, L., and Hamprecht, F. A., ?A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness?, in ECCV 2012. Proceedings, 2012, vol. 7574, pp. 144-157.

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.

B.  Andres, Kröger, T., Briggmann, K. L., Denk, W., Norogod, N., Knott, G. W., Köthe, U., and Hamprecht, F. A., ?Globally Optimal Closed-Surface Segmentation for Connectomics?, in ECCV 2012. Proceedings, Part 3, 2012, pp. 778-791.

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.

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.

B.  Andres, Beier, T., and Kappes, J. H., ?OpenGM: A C++ Library for Discrete Graphical Models?, ArXiv e-prints, 2012.

B.  Andres, ?Automated Segmentation of Large 3D Images of Nervous Systems Using a Higher-order Graphical Model?. University of Heidelberg, 2011.

J. H.  Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., ?Globally Optimal Image Partitioning by Multicuts?, in EMMCVPR, 2011.

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.

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.

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.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Modelswith Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010, pp. 353-362.

U.  Köthe, Andres, B., Kröger, T., and Hamprecht, F. A., ?Geometric Analysis of 3D Electron Microscopy Data?, in Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), 2010, pp. 22-26.

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.

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.

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.

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.

B.  Andres, Kondermann, C., Kondermann, D., Hamprecht, F. A., and Garbe, C. S., ?On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation?, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, 2008, p. 1--6.

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.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear Analysis of Multi-Dimensional Signals?, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.

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.

B.  Andres, ?Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis?, University of Heidelberg, 2007.

B.  Andres, ?Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis?, University of Heidelberg, 2007.

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.

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.