D.  Gonzalez-Alvarado, Zeilmann, A., and Schnörr, C., ?Assignment Flows and Nonlocal PDEs on Graphs?, GCPR, in press. 2021.

A.  Zern, Zeilmann, A., and Schnörr, C., ?Assignment Flows for Data Labeling on Graphs: Convergence and Stability?, preprint: arXiv, 2020.

A.  Zeilmann, Savarino, F., Petra, S., and Schnörr, C., ?Geometric Numerical Integration of the Assignment Flow?, Inverse Problems, vol. 36, p. 034004 (33pp), 2020.

A.  Zern, Zisler, M., Petra, S., and Schnörr, C., ?Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment?, Journal of Mathematical Imaging and Vision, 2020.

L.  Cerrone, Zeilmann, A., and Hamprecht, F. A., ?End-to-End Learned Random Walker for Seeded Image Segmentation?, CVPR. Proceedings. pp. 12559-12568, 2019.

A.  Zeilmann, Savarino, F., Petra, S., and Schnörr, C., ?Geometric Numerical Integration of the Assignment Flow?, Inverse Problems, 2019.

S.  Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?ilastik: interactive machine learning for (bio)image analysis?, Nature Methods, vol. 16, pp. 1226-1232, 2019.

M.  Zisler, Zern, A., Petra, S., and Schnörr, C., ?Self-Assignment Flows for Unsupervised Data Labeling on Graphs?, preprint: arXiv, 2019.

A.  Zern, Zisler, M., Petra, S., and Schnörr, C., ?Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment?, preprint: arXiv, 2019.

M.  Zisler, Zern, A., Petra, S., and Schnörr, C., ?Unsupervised Labeling by Geometric and Spatially Regularized Self-Assignment?, in Proc. SSVM, 2019.

T.  Hoda?, Michel, F., Brachmann, E., Kehl, W., Buch, A. Glent, Kraft, D., Drost, B., Vidal, J., Ihrke, S., Zabulis, X., Sahin, C., Manhardt, F., Tombari, F., Kim, T. Kyun, Matas, J., and Rother, C., ?BOP: Benchmark for 6D object pose estimation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11214 LNCS, pp. 19?35.

A.  Arnab, Zheng, S., Jayasumana, S., Romera-paredes, B., Kirillov, A., Savchynskyy, B., Rother, C., Kahl, F., and Torr, P., ?Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation?, Cvpr, vol. XX, pp. 1?15, 2018.

A.  Zern, Rohr, K., and Schnörr, C., ?Geometric Image Labeling with Global Convex Labeling Constraints?, in EMMCVPR, 2018, vol. 10746, pp. 533?547.

A.  Zeilmann, Savarino, F., Petra, S., and Schnörr, C., ?Geometric Numerical Integration of the Assignment Flow?, preprint: arXiv, 2018.

A.  Zern, Zisler, M., Aström, F., Petra, S., and Schnörr, C., ?Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment?, in GCPR, 2018.

A.  Zern, Zisler, M., Aström, F., Petra, S., and Schnörr, C., ?Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment?, GCPR. Proceedings. pp. 698-713, 2018.

A.  Zern, Rohr, K., and Schnörr, C., ?Geometric Image Labeling with Global Convex Labeling Constraints?, in Proc. EMMCVPR, 2017.

M.  Zisler, Savarino, F., Petra, S., and Schnörr, C., ?Gradient Flows on a Riemannian Submanifold for Discrete Tomography?, in Proc. GCPR, 2017.

M.  Zisler, Aström, F., Petra, S., and Schnörr, C., ?Image Reconstruction by Multilabel Propagation?, in Proc. SSVM, 2017, vol. 10302.

A.  Kirillov, Schlesinger, D., Zheng, S., Savchynskyy, B., Torr, P. H. S., and Rother, C., ?Joint training of generic CNN-CRF models with stochastic optimization?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, vol. 10112 LNCS, pp. 221?236.

P.  Markowsky, Reith, S., Zuber, T. E., König, R., Rohr, K., and Schnörr, C., ?Segmentation of cell structure using model-based set covering with iterative reweighting?, in Proc. ISBI, 2017.

M.  Zisler, Petra, S., Schnörr, C., and Schnörr, C., ?Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints?, in Proc. GCPR, 2016.

M.  Zisler, Kappes, J. H., Schnörr, C., Petra, S., and Schnörr, C., ?Non-Binary Discrete Tomography by Continuous Non-Convex Optimization?, IEEE Comp. Imaging, vol. 2, pp. 335-347, 2016.

D.  Kiefhaber, Zappa, C. J., and Jähne, B., ?Influence of natural surfactants on short wind waves in the coastal Peruvian waters?, vol. 12, pp. 1291?1325, 2015.

J.  Funke, Hamprecht, F. A., and Zhang, C., ?Learning to Segment: Training Hierarchical Segmentation under a Topological Loss?, in MICCAI. Proceedings, Part III, 2015, vol. 9351, pp. 268-275.

S.  Zheng, Prisacariu, V. Adrian, Averkiou, M., Cheng, M. Ming, Mitra, N. J., Shotton, J., Torr, P. H. S., and Rother, C., ?Object proposals estimation in depth image using compact 3D shape manifolds?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 196?208.

N. J.  Mitra, Stam, J., Xu, K., Cheng, M. - M., Prisacariu, V. Adrian, Zheng, S., Torr, P. H. S., and Rother, C., ?Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut?, vol. 34, 2015.

J.  Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., ?Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons?, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85?94.

J.  Mund, Zouhar, A., Meyer, L., Fricke, H., and Rother, C., ?Performance evaluation of LiDAR point clouds towards automated FOD detection on airport aprons?, in Proceedings of ATACCS 2015 - 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015, pp. 85?94.

A.  Zouhar, Rother, C., and Fuchs, S., ?Semantic 3-D labeling of ear implants using a global parametric transition prior?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9350, pp. 177?184.

J. H.  Kappes, Petra, S., Schnörr, C., and Zisler, M., ?TomoGC: Binary Tomography by Constrained Graph Cuts?, in Proc. GCPR, 2015.

J. H.  Kappes, Petra, S., Schnörr, C., and Zisler, M., ?TomoGC: Binary Tomography by Constrained Graph Cuts?, in Proc.~GCPR, 2015.

D.  Kiefhaber, Caulliez, G., Zappa, C. J., Schaper, J., and Jähne, B., ?Water wave measurement from stereo images of specular reflections?, vol. 26, p. 115401, 2015.

A. - S.  Wahl, Omlor, W., Rubio, J. C., Chen, J. L., Zheng, H., Schröter, A., Gullo, M., Weinmann, O., Kobayashi, K., Helmchen, F., Ommer, B., and Schwab, M. E., ?Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke?, Science, vol. 344, p. 1250--1255, 2014.

C.  Zhang, Yarkony, J., and Hamprecht, F. A., ?Cell detection and segmentation using correlation clustering?, in MICCAI. Proceedings, 2014, pp. 9-16.

S.  Zheng, Cheng, M. Ming, Warrell, J., Sturgess, P., Vineet, V., Rother, C., and Torr, P. H. S., ?Dense semantic image segmentation with objects and attributes?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3214?3221.

M.  Kandemir, Zhang, C., and Hamprecht, F. A., ?Empowering multiple instance histopathology cancer diagnosis by cell graphs?, in MICCAI. Proceedings, 2014, vol. 8674, pp. 228-235.

J.  Yarkony, Zhang, C., and Fowlkes, C. C., ?Hierarchical Planar Correlation Clustering for Cell Segmentation?, in EMMCVPR. Proceedings, 2014, vol. 8932, pp. 492-504.

D.  Kiefhaber, Zappa, C. J., and Jähne, B., ?Measurement of wind waves statistics from specular reflections?, in Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii, 2014.

X.  He, Wang, H., Zhang, F., Wang, G., and Zhou, K., ?Robust Simulation of Small-Scale Thin Features in SPH-based Free Surface Flows?, Life.Kunzhou.Net, vol. 1, pp. 1?8, 2014.

L.  Fiaschi, Diego, F., Grosser, K. - H., Schiegg, M., Köthe, U., Zlatic, M., and Hamprecht, F. A., ?Tracking indistinguishable translucent objects over time using weakly supervised structured learning?, in CVPR. Proceedings, 2014, pp. 2736 - 2743.

C.  Zhang, Huber, F., Knop, M., and Hamprecht, F. A., ?Yeast Cell Detection and Segmentation in Bright Field Microscopy?, in ISBI. Proceedings, 2014, pp. 1267-1270.

L.  Fiaschi, Grosser, K. - H., Afonso, B., Zlatic, M., and Hamprecht, F. A., ?Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects?, ISBI 2013.Proceedings, pp. 656-659, 2013.

C. M.  Zechmann, Menze, B. H., Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Delorme, S., Hamprecht, F. A., and Bachert, P., ?Automated vs. manual pattern recognition of 3D 1H MRSI data of patients with prostate cancer?, Academic Radiology, vol. 19, 6, pp. 675-684, 2012.

E. - A.  Horva?t, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., ?One plus one makes three (for social networks)?, PLoS ONE, vol. 4,7, 2012.

B. Y.  Renard, Xu, B., Kirchner, M., Zickmann, F., Winter, D., Korten, S., Brattig, N., Tzur, A., Hamprecht, F. A., and Steen, H., ?Overcoming species boundaries in peptide identification with BICEPS?, Molecular and Cellular Proteomics, vol. 11, 2012.

D.  Kondermann, Abraham, S., Förstner, W., Gehrig, S., Imiya, A., Jähne, B., Klose, F., Magor, M., Mayer, H., Mester, R., Pajdla, T., Reulke, R., and Zimmer, H., ?On Performance Analysis of Optical Flow Algorithms?, in Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop2011, 2012, vol. LNCS, pp. 329-355.

D.  Kiefhaber, Schaper, J., Rocholz, R., Zappa, C. J., Asher, W. E., Jessup, A. T., and Jähne, B., ?Water Surface Topography Measurements with the Reflective Stereo Slope Gauge?, in AGU Ocean Science Meeting 2012, Salt Lake City, 2012.

E. - A.  Horva?t, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., ?You Are Who Knows You: Predicting Links Between Non-Members of Facebook?, European Conference on Complex Systems. Proceedings, vol. 3, pp. 309-315, 2012.

M.  Schmidt, Zimmermann, K., and Jähne, B., ?High frame rate for 3D time-of-flight cameras by dynamic sensor calibration?, in Proceedings IEEE International Conference on Computational Photography (ICCP), 2011, p. 1--8.

P. Vincent Gehler, Rother, C., Kiefel, M., Zhang, L., and Schölkopf, B., ?Recovering intrinsic images with a global sparsity prior on reflectance?, in Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, 2011.

X.  Lou and Hamprecht, F. A., ?Structured Learning for Cell Tracking?, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.

M.  Schmidt, Erz, M., Zimmermann, K., and Jähne, B., ?Exact modelling of time-of-flight cameras for optimal depth maps?, in International Conference on Computational Photography (ICCP) 2010, 2010.

V.  Gulshan, Rother, C., Criminisi, A., Blake, A., and Zisserman, A., ?Geodesic star convexity for interactive image segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 3129?3136.

M.  Atif, Zimmermann, K., and Jähne, B., ?A space-variant (3D) image simulation tool for computational cameras?, in International Conference on Computational Photography (ICCP) 2010, 2010.

F. O.  Kaster, Kelm, B. Michael, Zechmann, C. M., Weber, M. - A., Hamprecht, F. A., and Nix, O., ?Classification of Spectroscopic Images in the DIROlab Environment?, in World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2009, vol. 25/V, p. 252--255.

B. Michael Kelm, Menze, B. H., Nix, O., Zechmann, C. M., and Hamprecht, F. A., ?Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge?, IEEE Transaction on Medical Imaging, vol. 28:10, pp. 1534-1547, 2009.

R.  Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., ?A comparative study of energy minimization methods for Markov random fields with smoothness-based priors?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068?1080, 2008.

R.  Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., ?A comparative study of energy minimization methods for Markov random fields with smoothness-based priors?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068?1080, 2008.

B. Michael Kelm, Menze, B. H., Zechmann, C. M., Baudendistel, K. T., and Hamprecht, F. A., ?Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification?, Magnetic Resonance in Medicine, vol. 57, pp. 150-159, 2007.

C.  Weber, Zechmann, C. M., Kelm, B. Michael, Zamecnik, R., Hendricks, D., Waldherr, R., Hamprecht, F. A., Delorme, S., Bachert, P., and Ikinger, U., ?Comparison of correctness of manuel and automatic evaluation of MR-spectrum with prostrate cancer?, Der Urologe, vol. 46, p. 1252, 2007.

C. M.  Zechmann, Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Röll, S., Delorme, S., Hamprecht, F. A., and Bachert, P., ?Can man still beat the machine? Automated vs. manual pattern recognition of 3D MRSI data of prostate cancer patients?, in Proceedings of the 16th ISMRM, 2006.

B. Michael Kelm, Menze, B. H., Neff, T., Zechmann, C. M., and Hamprecht, F. A., ?CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods.?, in Bildverarbeitung für die Medizin 2006 - Algorithmen, Systeme, Anwendungen, 2006, pp. 51-55.

H.  Zhang, Hamprecht, F. A., and Amann, A., ?Report about VOCs Dataset's Analysis based on Random Forests?, in Proceedings of the HPC-Asia05, 2005, pp. 603-607.

S.  Weber, Schüle, T., Hornegger, J., and Schnörr, C., ?Binary Tomography by Iterating Linear Programs from Noisy Projections?, in Combinatorial Image Analysis, Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'04), 2004, vol. 3322, pp. 38?51.

C. J.  Zappa, Asher, W. E., Jessup, A. T., Klinke, J., and Long, S. R., ?Microbreaking and the enhancement of air-water transfer velocity?, J. Geophys. Res., vol. 109, p. C08S16, 2004.

X.  Zhang and Garbe, C. S., ?Studying dynamical processes of air-sea exchanges with air-water interface image techniques?, Recent Research Developments in Fluid Dynamics, vol. 5, p. 57--87, 2004.

C. J.  Zappa, Asher, W. E., Jessup, A. T., Klinke, J., and Long, S. R., ?Effect of microscale wave breaking on air-water gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 23--29.

J.  Weickert, Heers, J., Schnörr, C., Zuiderveld, K. ?J., Scherzer, O., and Stiehl, H. ?S., ?Fast parallel algorithms for a broad class of nonlinear variational diffusion approaches?, Real?Time Imaging, vol. 7, pp. 31?45, 2001.

C.  Schellewald, Keuchel, J., and Schnörr, C., ?Image labeling and grouping by minimizing linear functionals over cones?, in Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01), INRIA, Sophia Antipolis, France, 2001, vol. 2134, pp. 267?282.

D.  Cremers, Schnörr, C., Weickert, J., and Schellewald, C., ?Diffusion Snakes Using Statistical Shape Knowledge?, in Proc. Algebraic Frames for the Perception-Action Cycle, Kiel, 2000, vol. 1888, pp. 164?174.

X.  Zhang, Klinke, J., and Jähne, B., ?A study of advection of short wind waves by long waves from surface slope images?, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 93--97.