T.  Milbich, Roth, K., Sinha, S., Schmidt, L., Ghassemi, M., and Ommer, B., ?Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning?. 2021.

F.  Kluger, Brachmann, E., Ackermann, H., Rother, C., Yang, M. Ying, and Rosenhahn, B., ?CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus?, in CVPR 2020, 2020.

J.  Kleesiek, Morshuis, J. Nikolas, Isensee, F., Deike-Hofmann, K., Paech, D., Kickingereder, P., Köthe, U., Rother, C., Forsting, M., Wick, W., Bendszus, M., Schlemmer, H. Peter, and Radbruch, A., ?Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study?, Investigative Radiology, vol. 54, pp. 653?660, 2019.

R.  Mackowiak, Lenz, P., Ghori, O., Diego, F., Lange, O., and Rother, C., ?CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation?, in British Machine Vision Conference 2018, BMVC 2018, 2019.

D.  Kotovenko, Sanakoyeu, A., Lang, S., and Ommer, B., ?Content and Style Disentanglement for Artistic Style Transfer?, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.

F.  Savarino and Schnörr, C., ?Continuous-Domain Assignment Flows?, preprint: arXiv, 2019.

P.  Bell and Ommer, B., ?Computer Vision und Kunstgeschichte ? Dialog zweier Bildwissenschaften?, in Computing Art Reader: Einführung in die digitale Kunstgeschichte, P. Kuroczyn?ski et al. (ed.), 2018.

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.

N.  Sayed, Brattoli, B., and Ommer, B., ?Cross and Learn: Cross-Modal Self-Supervision?, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.

M.  Brosowsky, ?Cluster Resolving for Animal Tracking: Multi Hypotheses Tracking with Part Based Model for Object Hypotheses Generation and Pose Estimation?, University of Heidelberg, 2017.

R.  Dalitz, Petra, S., and Schnörr, C., ?Compressed Motion Sensing?, in Proc. SSVM, 2017, vol. 10302.

G.  Krause, ?Correlation of Performance and Entropy in Active Learning with Convolutional Neural Networks?, Heidelberg University, 2017.

S.  Peter, Diego, F., Hamprecht, F. A., and Nadler, B., ?Cost-efficient Gradient Boosting?, NIPS, poster. 2017.

D.  Schlesinger, Jug, F., Myers, G., Rother, C., and Kainmueller, D., ?Crowd sourcing image segmentation with iaSTAPLE?, in Proceedings - International Symposium on Biomedical Imaging, 2017, pp. 401?405.

S. Karthik Mustikovela, Yang, M. Ying, and Rother, C., ?Can ground truth label propagation from video help semantic segmentation??, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9915 LNCS, pp. 804?820.

S.  Wolf, ?Cell Tracking With Graphical Model Using Higher Order Features On Track Segments?, University of Heidelberg, 2016.

M.  Bautista, Sanakoyeu, A., Sutter, E., and Ommer, B., ?CliqueCNN: Deep Unsupervised Exemplar Learning?, in Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), Barcelona, 2016.

M.  Baust, Weinmann, A., Wieczorek, M., Lasser, T., Storath, M., and Navab, N., ?Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach?, IEEE Transactions on Medical Imaging, vol. 35, no. 8, pp. 1972?1989, 2016.

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.

B.  Güssefeld, Honauer, K., and Kondermann, D., ?Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets?, in Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}, 2016.

M.  Kandemir and Hamprecht, F. A., ?Cell event detection in phase-contrast microscopy sequences from few annotations?, MICCAI. Proceedings, vol. LNCS 9351. Springer, pp. 316-323, 2015.

L.  Nagel, Krall, K. Ellen, and Jähne, B., ?Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank?, Ocean Sci., vol. 11, p. 111--120, 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?, 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 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.

F.  Rathke and Schnörr, C., ?A Computational Approach to Log-Concave Density Estimation?, An. St. Univ. Ovidius Constanta, vol. 23, pp. 151-166, 2015.

F.  Rathke and Schnörr, C., ?A Computational Approach to Log-Concave Density Estimation?, An. St. Univ. Ovidius Constanta, vol. 23, pp. 151-166, 2015.

F.  Silvestri, Reinelt, G., and Schnörr, C., ?A Convex Relaxation Approach to the Affine Subspace Clustering Problem?, in Proc.~GCPR, 2015.

L.  Maier-Hein, Mersmann, S., Kondermann, D., Bodenstedt, S., Sanchez, A., Stock, C., Kenngott, H., Eisenmann, M., and Speidel, S., ?Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images?, in MICCAI, 2014.

J.  Welbl, ?Casting Random Forests as Artificial Neural Networks (and Profiting from It)?, in GCPR. Proceedings, 2014, pp. 765-771.

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

L.  Nagel, Krall, K. Ellen, and Jähne, B., ?Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank?, Ocean Sci. Discuss., vol. 11, p. 1691--1718, 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 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.

M.  Kandemir and Hamprecht, F. A., ?Computer-aided diagnosis from weak supervision: A benchmarking study?, Computerized Medical Imaging and Graphics, vol. 42, pp. 44-50, 2014.

S.  Meister, ?On Creating Reference Data for Performance Analysis in Image Processing?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.

S. Nicolas Ro Meister, ?On Creating Reference Data for Performance Analysis in Image Processing?, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2014.

L.  Maier-Hein, Mersmann, S., Kondermann, D., Stock, C., Kenngott, H., Sanchez, A., Wagner, M., Preukschas, A., Wekerle, A. - L., Helfert, S., Bodenstedt, S., and Speidel, S., ?Crowdsourcing for reference correspondence generation in endoscopic images?, in MICCAI, 2014.

T.  Beier, Kröger, T., Kappes, J. H., Köthe, U., and Hamprecht, F. A., ?Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning?, in 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014, 2014.

S.  Mersmann, Seitel, A., Erz, M., Jähne, B., Nickel, F., Mieth, M., Mehrabi, A., and Maier-Hein, L., ?Calibration of time-of-flight cameras for accurate intraoperative surface reconstruction?, Med. Phys., vol. 40, p. 082701, 2013.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?A Class of Quasi-Variational Inequalities for Adaptive Image Denoisingand Decomposition?, Computational Optimization and Applications (COAP), vol. 54 (2), pp. 371-398, 2013.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?A class of quasi-variational inequalities for adaptive image denoising and decomposition?, Computational Optimization and Applications, vol. 54, pp. 371-398, 2013.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis?, Optimization Methods and Software, vol. 28, pp. 1081-1094, 2013.

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.

M.  Schiegg, Hanslovsky, P., Kausler, B. X., Hufnagel, L., and Hamprecht, F. A., ?Conservation Tracking?, in ICCV 2013. Proceedings, 2013, p. 2928--2935.

B.  Schmitzer and Schnörr, C., ?Contour Manifolds and Optimal Transport?. 2013.

P.  Swoboda and Schnörr, C., ?Convex Variational Image Restoration with Histogram Priors?, SIAM J.~Imag.~Sci., vol. 6, pp. 1719-1735, 2013.

B.  Maco, Holtmaat, A., Cantoni, M., Kreshuk, A., Straehle, C. N., Hamprecht, F. A., and Knott, G. W., ?Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons?, PloS one, vol. 8 (2), 2013.

S.  Meister, ?On Creating Reference Data for Performance Analysis in Image Processing?. University of Heidelberg, 2013.

S.  Petra, Schnörr, C., and Schröder, A., ?Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics?, Fundamenta Informaticae, vol. 125, p. 285--312, 2013.

M.  Geese, Jähne, B., and Ruhnau, P., ?CNN Based Dark Signal Non-Uniformity Estimation?, CNNA, pp. 1-6, 2012.

M.  Geese, Ruhnau, P., and Jähne, B., ?CNN based dark signal non-uniformity estimation?, in Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on, 2012, p. 1--6.

S.  Petra, Schnörr, C., and Schröder, A., ?Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics?. 2012.

A.  Shekhovtsov, Kohli, P., and Rother, C., ?Curvature prior for MRF-based segmentation and shape inpainting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41?51.

A.  Shekhovtsov, Kohli, P., and Rother, C., ?Curvature prior for MRF-based segmentation and shape inpainting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41?51.

A.  Shekhovtsov, Kohli, P., and Rother, C., ?Curvature prior for MRF-based segmentation and shape inpainting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7476 LNCS, pp. 41?51.

C. N.  Straehle, Köthe, U., Knott, G. W., and Hamprecht, F. A., ?Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images?, in MICCAI 2011, Proceedings., 2011, vol. 6891, pp. 653-660.

M.  Erz, ?Charakterisierung von Laufzeitkamerasystemen für Lumineszenzlebensdauermessungen?, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2011.

R.  Rocholz, Wanner, S., Schimpf, U., and Jähne, B., ?Combined visualization of wind waves and water surface temperature?, in Gas Transfer at Water Surfaces 2010, 2011, p. 496--506.

C.  Kräuter, Richter, K. E., Jähne, B., Mesarchaki, E., and Williams, J., ?A comparative lab study of tansfer velocities of volatile tracers with widely varying solubilities?, in DPG Frühjahrstagung Dresden, Fachverband Umweltphysik, 2011.

F. O.  Kaster, Weber, M. - A., and Hamprecht, F. A., ?Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations?, in LNCS, 2011, vol. LNCS 6533, pp. 74-85.

J.  Lellmann and Schnörr, C., ?Continuous Multiclass Labeling Approaches and Algorithms?, SIAM J.~Imag.~Sci., vol. 4, pp. 1049-1096, 2011.

J.  Lellmann and Schnörr, C., ?Continuous Multiclass Labeling Approaches and Algorithms?, CoRR, vol. abs/1102.5448, 2011.

J.  Schlecht and Ommer, B., ?Contour-based Object Detection?, in BMVC, 2011, p. 1--9.

R.  Rocholz, ?Calibration of the 2010-CISG Setup at the Aeolotron?, Institute of Environmental Physics, University of Heidelberg, 2010.

M.  Hanselmann, ?Computational Methods for the Analysis of Mass Spectrometry Images?. University of Heidelberg, 2010.

M.  Kirchner, Renard, B. Y., Köthe, U., Pappin, D. J., Hamprecht, F. A., Steen, J. A. J., and Steen, H., ?Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments?, Bioinformatics, vol. 26 (1), pp. 77-83, 2010.

R.  Nair, ?Construction and analysis of random tree ensembles?, University of Heidelberg, 2010.

J.  Lellmann and Schnörr, C., ?Continuous Multiclass Labeling Approaches and Algorithms?, Univ. of Heidelberg, 2010.

S.  Vicente, Kolmogorov, V., and Rother, C., ?Cosegmentation revisited: Models and optimization?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6312 LNCS, pp. 465?479.

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. H.  Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., ?A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data?, BMC Bioinformatics, vol. 10:213, 2009.

S. V. E.  Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., ?Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species?, in Evolution-The Molecular Landscape, 2009.

F.  Lauer, Bloch, G., and Vidal, R., ?A Continuous Optimization Framework for Hybrid System Identification?, in submitted to Automatica, 2009.

C.  Gosch, ?Contour Methods for View Point Tracking?. University of Heidelberg, 2009.

J.  Yuan, Schnörr, C., and Steidl, G., ?Convex Hodge Decomposition and Regularization of Image Flows?, J.~Math.~Imag.~Vision, vol. 33, pp. 169-177, 2009.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., Schnörr, C., Mórken, K., and Lysaker, M., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

J.  Lellmann, Becker, F., and Schnörr, C., ?Convex Optimization for Multi-Class Image Labeling with a Novel Familyof Total Variation Based Regularizers?, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, 2009, pp. 646-653.

J.  Lellmann, Becker, F., and Schnörr, C., ?Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers?, in IEEE International Conference on Computer Vision (ICCV), 2009, p. 646 -- 653.

M.  Hering, Körner, K., and Jähne, B., ?Correlated speckle noise in white-light interferometry: theoretical analysis of measurement uncertainty?, Appl. Optics, vol. 48, p. 525--538, 2009.

J.  Fehr, Reisert, M., and Burkhardt, H., ?Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches?, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 287-296.

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.

A.  Haja, Abraham, S., and Jähne, B., ?A Comparison of Region Detectors for Tracking?, in Pattern Recognition, Proceedings 30th DAGM Symposium, Munich, Germany, June 2008, 2008, vol. 5096, p. 112--121.

M.  Hanselmann, Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., ?Concise Representation of MS Images by Probabilistic Latent Semantic Analysis?, Analytical Chemistry, vol. 80, pp. 9649-9658, 2008.

K.  Fundana, Heyden, A., Gosch, C., and Schnörr, C., ?Continuous Graph Cuts for Prior-Based Object Segmentation?, in 19th Int.~Conf.~Patt.~Recog.~(ICPR), 2008, p. 1--4.

J.  Yuan, Steidl, G., and Schnörr, C., ?Convex Hodge Decomposition of Image Flows?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 416--425.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, IWR, University of Heidelberg, 2008.

B. H.  Menze and Ur, J. A., ?Classification of multispectral ASTER imagery in the archaeological survey for settlement sites of the Near East?, in Proc 10th International Symposium on Physical Measurements and Signature in Remote Sensing (ISPMRS 07), Davos, Switzerland, 2007.

A.  Kannan, Winn, J., and Rother, C., ?Clustering appearance and shape by learning jigsaws?, in Advances in Neural Information Processing Systems, 2007, pp. 657?664.

A.  Kannan, Winn, J., and Rother, C., ?Clustering appearance and shape by learning jigsaws?, in Advances in Neural Information Processing Systems, 2007, pp. 657?664.

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.

B.  Jähne and Jähne, B., ?Complex motion in environmental physics and live sciences?, Complex Motion, vol. 3417. Springer, p. 92--105, 2007.

B.  Jähne, Complex Motion, Proceedings of the 1st Workshop, Günzburg, October 2004, vol. 3417. Springer, 2007.

B.  Ommer and Buhmann, J. M., ?Compositional Object Recognition, Segmentation, and Tracking in Video?, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007, vol. 4679, p. 318--333.

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.

M. F.  Carlsohn, Menze, B. H., Kelm, B. Michael, Hamprecht, F. A., Kercek, A., Leitner, R., and Polder, G., ?Color image processing?, vol. 7(17), R.  Lukac and Plataniotis, K. N., Eds. CRC Press, 2006, pp. 393-419.

B. Michael Kelm, Pal, C., and McCallum, A., ?Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning.?, in ICPR 2006, 2006, vol. 2, pp. 828-832.

V.  Kolmogorov and Rother, C., ?Comparison of energy minimization algorithms for highly connected graphs?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1?15.

V.  Kolmogorov and Rother, C., ?Comparison of energy minimization algorithms for highly connected graphs?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3952 LNCS, pp. 1?15.

M.  Heiler and Schnörr, C., ?Controlling Sparseness in Non-negative Tensor Factorization?, in Computer Vision -- ECCV 2006, 2006, vol. 3951, pp. 56-67.

C.  Rother, Kolmogorov, V., Minka, T., and Blake, A., ?Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, vol. 1, pp. 994?1000.

B.  Jähne, Schmidt, M., and Rocholz, R., ?Combined optical slope/height measurements of short wind waves: principles and calibration?, Meas. Sci. Technol., vol. 16, p. 1937--1944, 2005.

J.  Neumann, Schnörr, C., and Steidl, G., ?Combined SVM-based Feature Selection and Classification?, Machine Learning, vol. 61, pp. 129-150, 2005.

F. A.  Hamprecht, ?Classification?, Practical Handbook on Image Processing for Scientific and Technical Applications. CRC Press, pp. 509-519, 2004.

B. H.  Menze, Wormit, M., Bachert, P., Lichy, M. P., Schlemmer, H. - P., and Hamprecht, F. A., ?Classification of in vivo magnetic resonance spectra?, in Classification in ubiquitous challenge: Proceedings of the GfKl 2004, 2004, pp. 362-369.

J.  Yuan, Schnörr, C., Kohlberger, T., and Ruhnau, P., ?Convex Set-Based Estimation of Image Flows?, in ICPR 2004 ? 17th Int. Conf. on Pattern Recognition, Cambridge, UK, 2004, vol. 1, pp. 124-127.

B.  Ommer and Buhmann, J. M., ?A Compositionality Architecture for Perceptual Feature Grouping?, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, vol. 2683, p. 275--290.

F. A.  Hamprecht, Thiel, W., and van Gunsteren, W. F., ?Chemical library subset selection algorithms: a unified derivation using spatial statistics?, Journal of Chemical Information and Computer Sciences, vol. 42, pp. 414-428, 2002.

S. R.  Long and Klinke, J., ?A closer look at short waves generated by wave interactions with adverse currents?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 121--128.

A.  Bruhn, Weickert, J., and Schnörr, C., ?Combining the Advantages of Local and Global Optic Flow Methods?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 454?462.

H.  Haußecker and Fleet, D. J., ?Computing optical flow with physical models of brightness variation?, IEEE Trans. Pattern Analysis Machine Intelligence, vol. 23, p. 661--673, 2001.

J.  Keuchel, Schellewald, C., Cremers, D., and Schnörr, C., ?Convex Relaxations for Binary Image Partitioning and Perceptual Grouping?, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 353?360.

M.  Wenig, Leue, C., Platt, U., Jähne, B., and Haußecker, H., ?Cloud classification analyzing image sequences?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 652--653, 2000.

M.  Marxen, Sullivan, P. E., Loewen, M. R., and Jähne, B., ?Comparison of Gaussian particle center estimators and the achievable measurement density for particle tracking velocimetry?, Exp. Fluids, vol. 29, pp. 145-153, 2000.

M.  Wulf, Stiehl, H. S., and Schnörr, C., ?On the computational rôle of the primate retina?, in Proc. 2nd ICSC Symposium on Neural Computation (NC 2000), Berlin, Germany, 2000.

B.  Jähne and Haußecker, H., Computer Vision and Applications: A Guide for Students and Practitioners. Academic Press, 2000, p. 679.

B.  Jähne, Jähne, B., Haußecker, H., and Geißler, P., ?Continuous and digital signals?, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 9--34, 1999.

J.  Heers, Schnörr, C., and Stiehl, H. S., ?A class of parallel algorithms for nonlinear variational image segmentation?, in Proc. Noblesse Workshop on Non?Linear Model Based Image Analysis (NMBIA'98), Glasgow, Scotland, 1998.

F.  Hering, Haußecker, H., Dieter, J., Netzsch, T., and Jähne, B., ?A comprehensive study of algorithms for multidimensional flow field diagnostics?, in Proc. Optical 3D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997, 1997, p. 436--443.

S.  Waas and Jähne, B., ?Combined height/slope/curvature measurements of short ocean wind waves?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 383--388.

F.  Hering, Wierzimok, D., Melville, W. K., and Jähne, B., ?Combined wave and flow field visualization for investigation of short-wave/long-wave interaction?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 133--138.

C.  Schnörr, ?Convex Variational Segmentation of Multi-Channel Images?, in Proc. 12th Int. Conf. on Analysis and Optimization of Systems: Images, Wavelets and PDE's, Paris, 1996, vol. 219.

D.  Schmund, Münsterer, T., Lauer, H., Jähne, B., and Jähne, B., ?The circular wind wave facilities at the University of Heidelberg?, in Air-Water Gas Transfer - Selected papers from the Third International Symposium on Air-Water Gas Transfer, 1995, p. 505--516.

S.  Waas and Jähne, B., ?Combined height/slope/curvature measurements of short ocean wind waves?. 1994.

B.  Jähne, ?A comparative analytical study of low-level motion estimators in space-time images?, in Proc. 16. DAGM-Symposium Mustererkennung, 1994.

B.  Jähne and Schultz, H., ?Calibration and accuracy of optical slope measurements for short wind waves?, in Optics of the Air-Sea Interface: Theory and Measurements, 1992, vol. 1749, p. 222--233.

S.  Waas and Jähne, B., ?Combined slope-height measurements of short wind waves: first results from field and laboratory measurements?, in Optics of the Air-Sea Interface: Theory and Measurements, 1992, vol. 1749, p. 295--306.

D.  van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., Vogelzang, J., and Jähne, B., ?Comparisons of backscattering calculations with measurements made in a large wind/wave flume?, in Proc. IGARSS'92, 1992, vol. 2, p. 1451--1453.

C.  Schnörr, ?Computation of Discontinuous Optical Flow by Domain Decomposition and Shape Optimization?, ijcv, vol. 8, pp. 153?165, 1992.

B.  Jähne, Waas, S., and Klinke, J., ?A critical theoretical review of optical techniques for short ocean wave measurements?, in Optics of the Air-Sea Interface: Theory and Measurements, 1992, vol. 1749, p. 204--215.

P.  Snoeij, van Halsema, D., Oost, W. A., Calkoen, C. J., Vogelzang, J., and Jähne, B., ?Comparison of microwave backscatter measurements and small-scale surface wave measurements made from the Dutch ocean research tower 'Noordwijk'?, in Proceedings IGARSS '91, 1991, vol. 3, p. 1289--1292.

C.  Schnörr, ?Computation of Discontinuous Optical Flow by Domain Decomposition and Shape Optimization?, in Proc. British Machine Vision Conference, Oxford/UK, 1990, pp. 109?114.

D.  van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., and Jähne, B., ?Comparisons of X-band Radar Backscatter Measurements with Area extended wave slop measurements made in a large Wind/Wave Tank?, in Proc. IGARSS'89, 1989, vol. 5, p. 2997--3001.

P. A.  Lange, Jähne, B., Tschiersch, J., and Ilmberger, J., ?Comparison between an amplitude-measuring wire and a slope-measuring laser water wave gauge?, Rev. Sci. Instrum., vol. 53, p. 651--655, 1982.