D.  Sitenko, Boll, B., and Schnörr, C., ?Assignment Flow For Order-Constrained OCT Segmentation?, Int J Computer Vision, vol. 129, 2021.

D.  Sitenko, Boll, B., and Schnörr, C., ?Assignment Flows and Nonlocal PDEs on Graphs?, GCPR, in press. 2021.

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

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.

A.  Vijayan, Tofanelli, R., Strauss, S., Cerrone, L., Wolny, A., Strohmeier, J., Kreshuk, A., Hamprecht, F. A., Smith, R. S., and Schneitz, K., ?A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule?, eLife, 2021.

A.  Sanakoyeu, Ma, P., Tschernezki, V., and Ommer, B., ?Improving Deep Metric Learning by Divide and Conquer?, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

L. M.  Schütz, Louveaux, M., Vilches-Barro, A., Bouziri, S., Cerrone, L., Wolny, A., Kreshuk, A., Hamprecht, F. A., and Maizel, A., ?Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana?, Plant and Cell Physiology, vol. 62, no. 8, pp. 1269-1279, 2021.

C.  Pape, Remme, R., Wolny, A., Olberg, S., Wolf, S., Cerrone, L., Cortese, M., Klaus, S., Lucic, B., Ullrich, S., Anders-Össwein, M., Wolf, S., Cerikan, B., Neufeldt, C. J., Ganter, M., Schnitzler, P., Merle, U., Lusic, M., Boulant, S., Stanifer, M., Bartenschlager, R., Hamprecht, F. A., Kreshuk, A., Tischer, C., Kräusslich, H. - G., Müller, B., and Laketa, V., ?Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera?, BioEssays, vol. 43, no. 3, 2021.

H.  Arlt, Sui, X., Folger, B., Adams, C., Chen, X., Remme, R., Hamprecht, F. A., DiMaio, F., Liao, M., Goodman, J. M., Farese, R. V., and Walther, T. C., ?Seipin forms a flexible cage at lipid droplet formation sites?. bioRxiv, 2021.

A.  Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., ?Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution?, eLife, vol. 9, 2020.

A.  Krull, Hirsch, P., Rother, C., Schiffrin, A., and Krull, C., ?Artificial-intelligence-driven scanning probe microscopy?, Communications Physics, vol. 3, 2020.

C.  Schnörr, ?Assignment Flows?, Handbook of Variational Methods for Nonlinear Geometric Data. Springer, p. 235?260, 2020.

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

P.  Sorrenson, Rother, C., and Köthe, U., ?Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)?, in Intl. Conf. Learning Representations (ICLR), 2020.

T.  Milbich, Roth, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. Paul, ?DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning?, IEEE European Conference on Computer Vision (ECCV). 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.

H.  Schilling, Gutsche, M., Brock, A., Späth, D., Rother, C., and Krispin, K., ?Mind the Gap ? A Benchmark for Dense Depth Prediction beyond Lidar?, in 2nd Workshop on Safe Artificial Intelligence for Automated Driving, in conjunction with CVPR 2020, 2020.

S.  Haller, Prakash, M., Hutschenreiter, L., Pietzsch, T., Rother, C., Jug, F., Swoboda, P., and Savchynskyy, B., ?A Primal-Dual Solver for Large-Scale Tracking-by-Assignment?, AISTATS 2020. 2020.

K.  Roth, Milbich, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. Paul, ?Revisiting Training Strategies and Generalization Performance in Deep Metric Learning?, International Conference on Machine Learning (ICML). 2020.

M.  Desana and Schnörr, C., ?Sum-Product Graphical Models?, Machine Learning, vol. 109, pp. 135?173, 2020.

Y.  Censor, Petra, S., and Schnörr, C., ?Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case?, J. Appl. Numer. Optimization (in press; arXiv:1911.05498), vol. 2, pp. 15-62, 2020.

S.  Tourani, Shekhovtsov, A., Rother, C., and Savchynskyy, B., ?Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization?, in AISTATS 2020, 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.

K. E.  Krall, Smith, A. W., Takagaki, N., and Jähne, B., ?Air?sea gas exchange at wind speeds up to 85 m/s?, Ocean Science, vol. 15, p. 1783-?1799, 2019.

C.  Schnörr, ?Assignment Flows?, Variational Methods for Nonlinear Geometric Data and Applications. Springer, 2019.

A. L.  Bendinger, Debus, C., Glowa, C., Karger, C. P., Peter, J., and Storath, M., ?Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models, in press?, Physics in Medicine and Biology, vol. 64, no. 4, 2019.

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.

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.

B.  Savchynskyy, ?Discrete Graphical Models ? An Optimization Perspective?, Foundations and Trends® in Computer Graphics and Vision, vol. 11, pp. 160?429, 2019.

A.  Sanakoyeu, Tschernezki, V., Büchler, U., and Ommer, B., ?Divide and Conquer the Embedding Space for Metric Learning?,  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.

L.  Kiefer, Storath, M., and Weinmann, A., ?An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting?, IEEE Transactions on Image Processing, vol. 29, 2019.

A.  Imle, Kumberger, P., Schnellbächer, N. D., Fehr, J., Carillo-Bustamente, P., Ales, J., Schmidt, P., Ritter, C., Godinez, W. J., Müller, B., Rohr, K., Hamprecht, F. A., Schwarz, U. S., Graw, F., and Fackler, O. T., ?Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures?, Nature Communications, vol. 13;10(1), 2019.

F.  Rathke and Schnörr, C., ?Fast Multivariate Log-Concave Density Estimation?, Comp. Statistics & Data Analysis, vol. 140, pp. 41-58, 2019.

F.  Rathke and Schnörr, C., ?Fast Multivariate Log-Concave Density Estimation?, Comp. Statistics & Data Analysis, vol. 140, pp. 41?58, 2019.

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

L.  Kostrykin, Schnörr, C., and Rohr, K., ?Globally Optimal Segmentation of Cell Nuclei in Fluoroscence Microscopy Images using Shape and Intensity Information?, Medical Image Analysis, 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.

R.  Hühnerbein, Savarino, F., Petra, S., and Schnörr, C., ?Learning Adaptive Regularization for Image Labeling Using Geometric Assignment?, preprint: arXiv, 2019.

R.  Hühnerbein, Savarino, F., Petra, S., and Schnörr, C., ?Learning Adaptive Regularization for Image Labeling Using Geometric Assignment?, in Proc. SSVM, 2019.

T.  Leistner, Schilling, H., Mackowiak, R., Gumhold, S., and Rother, C., ?Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift?, in Proceedings - 2019 International Conference on 3D Vision, 3DV 2019, 2019, pp. 249?257.

E.  Kirschbaum, Haußmann, M., Wolf, S., Sonntag, H., Schneider, J., Elzoheiry, S., Kann, O., Durstewitz, D., and Hamprecht, F. A., ?LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos?, ICLR. Proceedings. 2019.

R.  Snajder, ?Pipeline für die automatisierte Objektsegmentierung von 3D Lightshet Mikroskopiebildern?, Heidelberg University, 2019.

F.  E Sanmartin, Damrich, S., and Hamprecht, F. A., ?Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning?, in Advances in Neural Information Processing Systems, 2019.

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

M.  Storath, Kiefer, L., and Weinmann, A., ?Smoothing for signals with discontinuities using higher order Mumford-Shah models?, Numerische Mathematik, vol. 143(2), pp. 423-460, 2019.

M.  Desana and Schnörr, C., ?Sum-Product Graphical Models?, Machine Learning, 2019.

Y.  Censor, Petra, S., and Schnörr, C., ?Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case?, preprint: arXiv, 2019.

M.  Esposito, Hennersperger, C., Göbl, R., Demaret, L., Storath, M., Navab, N., Baust, M., and Weinmann, A., ?Total variation regularization of pose signals with an application to 3D freehand ultrasound?, IEEE Transactions on Medical Imaging, vol. 38(10), pp. 2245-2258, 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.

D.  Kotovenko, Sanakoyeu, A., Lang, S., Ma, P., and Ommer, B., ?Using a Transformation Content Block For Image Style Transfer?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.

F.  Savarino and Schnörr, C., ?A Variational Perspective on the Assignment Flow?, in Proc. SSVM, 2019.

N.  Ufer, Lui, K. To, Schwarz, K., Warkentin, P., and Ommer, B., ?Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation?, in German Conference on Pattern Recognition (GCPR), 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.

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.

A.  Sanakoyeu, Bautista, M., and Ommer, B., ?Deep Unsupervised Learning of Visual Similarities?, Pattern Recognition, vol. 78, 2018.

A. - S.  Wahl, Erlebach, E., Brattoli, B., Büchler, U., Kaiser, J., Ineichen, V. B., Mosberger, A. C., Schneeberger, S., Imobersteg, S., Wieckhorst, M., Stirn, M., Schroeter, A., Ommer, B., and Schwab, M. E., ?Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats?, Sage Journals, vol.  Journal of Cerebral Blood Flow & Metabolism, 2018.

F.  Draxler, Veschgini, K., Salmhofer, M., and Hamprecht, F. A., ?Essentially No Barriers in Neural Network Energy Landscape?, ICML. Proceedings, vol. 80. p. 1308--1317, 2018.

S.  Haller, Swoboda, P., and Savchynskyy, B., ?Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation?, in Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018.

M.  Storath and Weinmann, A., ?Fast median filtering for phase or orientation data?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 3, pp. 639?652, 2018.

F.  Rathke and Schnörr, C., ?Fast Multivariate Log-Concave Density Estimation?, preprint: ArXiv, 2018.

F.  Rathke and Schnörr, C., ?Fast Multivariate Log-Concave Density Estimation?, preprint: arXiv, 2018.

D.  Fortun, Storath, M., Rickert, D., Weinmann, A., and Unser, M., ?Fast Piecewise-Affine Motion Estimation Without Segmentation?, IEEE Transactions on Image Processing, vol. 27 , no. 11, pp. 5612 - 5624, 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.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?, SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?, SIAM J. Imaging Science, vol. 11, pp. 1317?1362, 2018.

F.  Schimmel, ?Learnability of Approximated Graph Cut Segmentation?, Heidelberg University, 2018.

M.  Weiler, Hamprecht, F. A., and Storath, M., ?Learning Steerable Filters for Rotation Equivariant CNNs?, CVPR. Proceedings. pp. 849-858, 2018.

W.  Erb, Weinmann, A., Ahlborg, M., Brandt, C., Bringout, G., Buzug, T. M., Frikel, J., Kaethner, C., Knopp, T., März, T., Möddel, M., Storath, M., and Weber, A., ?Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging?, Inverse Problems, vol. 34, no. 5, 2018.

A.  Shekhovtsov, Swoboda, P., and Savchynskyy, B., ?Maximum Persistency via Iterative Relaxed Inference in Graphical Models?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, pp. 1668?1682, 2018.

M.  Kiechle, Storath, M., Weinmann, A., and Kleinsteuber, M., ?Model-based learning of local image features for unsupervised texture segmentation?, IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1994-2007, 2018.

S.  Tourani, Shekhovtsov, A., Rother, C., and Savchynskyy, B., ?MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 264?281.

L.  Kostrykin, Schnörr, C., and Rohr, K., ?Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming?, in Proc. ISBI, 2018.

A.  Sanakoyeu, Kotovenko, D., Lang, S., and Ommer, B., ?A Style-Aware Content Loss for Real-time HD Style Transfer?, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2018.

K.  Bredies, Holler, M., Storath, M., and Weinmann, A., ?Total Generalized Variation for Manifold-valued Data?, SIAM Journal on Imaging Sciences, vol. 11, no. 3, pp. 1785 - 1848, 2018.

H.  Schilling, Diebold, M., Rother, C., and Jähne, B., ?Trust your Model: Light Field Depth Estimation with inline Occlusion Handling?, CVPR. Proceedings. 2018.

H.  Schilling, Diebold, M., Rother, C., and Jähne, B., ?Trust your Model: Light Field Depth Estimation with Inline Occlusion Handling?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, pp. 4530?4538.

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

P.  Esser, Sutter, E., and Ommer, B., ?A Variational U-Net for Conditional Appearance and Shape Generation?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral), 2018.

M.  Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., ?Active machine learning for training an event classification?, Patent, Patent Number WO2017032775 A1, 2017.

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

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.

M.  Bautista, Sanakoyeu, A., and Ommer, B., ?Deep Unsupervised Similarity Learning using Partially Ordered Sets?, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

H.  Schilling, Diebold, M., Gutsche, M., and Jähne, B., ?On the design of a fractal calibration pattern for improved camera calibration?, tm - Technisches Messen, vol. 84, pp. 440?451, 2017.

E.  Brachmann, Krull, A., Nowozin, S., Shotton, J., Michel, F., Gumhold, S., and Rother, C., ?DSAC - Differentiable RANSAC for camera localization?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2492?2500.

M.  Storath, Brandt, C., Hofmann, M., Knopp, T., Salamon, J., Weber, A., and Weinmann, A., ?Edge preserving and noise reducing reconstruction for magnetic particle imaging?, IEEE Transactions on Medical Imaging, vol. 36, no. 1, pp. 74 - 85, 2017.

M.  Storath, Rickert, D., Unser, M., and Weinmann, A., ?Fast segmentation from blurred data in 3D fluorescence microscopy?, IEEE Transactions on Image Processing, vol. 26, no. 10, 2017.

F.  Aström and Schnörr, C., ?A Geometric Approach for Color Image Regularization?, Comp. Vision Image Understanding, vol. 165, pp. 43?59, 2017.

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

F.  Michel, Kirillov, A., Brachmann, E., Krull, A., Gumhold, S., Savchynskyy, B., and Rother, C., ?Global hypothesis generation for 6D object pose estimation?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 115?124.

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

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?. 2017.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?Image Labeling by Assignment?, J. Math. Imag. Vision, vol. 58, pp. 211?238, 2017.

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

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.

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.

M.  Storath, Weinmann, A., and Unser, M., ?Jump-penalized least absolute values estimation of scalar or circle-valued signals?, Information and Inference, vol. 6, no. 3, pp. 225?245, 2017.

L.  Schott, ?Learned Watershed Algorithm: End-to-End Learning of Seeded Segmentation?, Heidelberg University, 2017.

S.  Wolf, Schott, L., Köthe, U., and Hamprecht, F. A., ?Learned Watershed: End-to-End Learning of Seeded Segmentation?, ICCV. pp. 2030-2038, 2017.

J.  Kruse, Rother, C., Schmidt, U., and Dresden, T. U., ?Learning to Push the Limits of Efficient FFT-based Image Deconvolution - Supplemental Material?, 2017.

J.  Kruse, Rother, C., and Schmidt, U., ?Learning to Push the Limits of Efficient FFT-Based Image Deconvolution?, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 4596?4604.

E.  Bodnariuc, Petra, S., Schnörr, C., and Voorneveld, J., ?A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry?, in Proc. GCPR, 2017.

F.  Rathke, Desana, M., and Schnörr, C., ?Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans?, MICCAI. Proceedings. pp. 177-184, 2017.

F.  Rathke, Desana, M., and Schnörr, C., ?Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans?, in Proc. MICCAI, 2017.

B.  Brattoli, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., ?LSTM Self-Supervision for Detailed Behavior Analysis?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

F.  Aström, Hühnerbein, R., Savarino, F., Recknagel, J., and Schnörr, C., ?MAP Image Labeling Using Wasserstein Messages and Geometric Assignment?, in Proc. SSVM, 2017, vol. 10302.

M.  Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., ?Maschinelles Lernen?, Patent, Patent Number WO2017032775A1, 2017.

T.  Beier, Pape, C., Rahaman, N., Prange, T., Berg, S., Bock, D., Cardona, A., Knott, G. W., Plaza, S. M., Scheffer, L. K., Köthe, U., Kreshuk, A., and Hamprecht, F. A., ?Multicut brings automated neurite segmentation closer to human performance?, Nature Methods, vol. 14, no. 2, pp. 101-102, 2017.

F.  Savarino, Hühnerbein, R., Aström, F., Recknagel, J., and Schnörr, C., ?Numerical Integration of Riemannian Gradient Flows for Image Labeling?, in Proc. SSVM, 2017, vol. 10302.

V.  Ulman, Ma?ka, M., Magnusson, K. E. G., Ronneberger, O., Haubold, C., Harder, N., Matula, P., Matula, P., Svoboda, D., Radojevic, M., Smal, I., Rohr, K., Jaldén, J., Blau, H. M., Dzyubachyk, O., Lelieveldt, B., Xiao, P., Li, Y., Cho, S. - Y., Dufour, A., Olivo-Marin, J. C., Reyes-Aldasoro, C. C., Solis-Lemus, J. A., Bensch, R., Brox, T., Stegmaier, J., Mikut, R., Wolf, S., Hamprecht, F. A., Esteves, T., Quelhas, P., Demirel, Ö., Malström, L., Jug, F., Toman?ák, P., Meijering, E., Muñoz-Barrutia, A., Kozubek, M., and Ortiz-de-Solorzano, C., ?An Objective Comparison of Cell Tracking Algorithms?, Nature Methods, vol. 14, no. 12, pp. 1141-1152, 2017.

A. - S.  Wahl, Büchler, U., Brändli, A., Brattoli, B., Musall, S., Kasper, H., Ineichen, B. V., Helmchen, F., Ommer, B., and Schwab, M. E., ?Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation?, Nature Communications, p. (ASW & UB contributed equally; BO and MES contributed equally), 2017.

A.  Krull, Brachmann, E., Nowozin, S., Michel, F., Shotton, J., and Rother, C., ?PoseAgent: Budget-constrained 6D object pose estimation via reinforcement learning?, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 2566?2574.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?{Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?, J. Math. Imag. Vision, vol. 58, pp. 102?129, 2017.

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.

Ö.  Sümer, Dencker, T., and Ommer, B., ?Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos?, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017.

M.  Hullin, Klein, R., Schultz, T., Yao, A., Li, W., Hosseini Jafari, O., and Rother, C., ?Semantic-Aware Image Smoothing?, Vision, Modeling, and Visualization, 2017.

T.  Milbich, Bautista, M., Sutter, E., and Ommer, B., ?Unsupervised Video Understanding by Reconciliation of Posture Similarities?, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?The Assignment Manifold: A Smooth Model for Image Labeling?, in Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16; oral presentation; Grenander best paper award), 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.

P.  Schmidt, ?Deep Learning for Bioimage Analysis?, University of Heidelberg, 2016.

J.  Kleesiek, Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., and Biller, A., ?Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.?, NeuroImage, vol. 129, pp. 460-469, 2016.

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

F.  Aström and Schnörr, C., ?Double-Opponent Vectorial Total Variation?, in Proc. ECCV, 2016.

P.  Swoboda, Kuske, J., and Savchynskyy, B., ?A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems?, arXiv, preprint, 2016.

M.  Desana and Schnörr, C., ?Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models?. 2016.

H.  Schilling, Diebold, M., Gutsche, M., Aziz-Ahmad, H., and Jähne, B., ?A fractal calibration pattern for improved camera calibration?, Forum Bildverarbeitung. 2016.

M.  von Borstel, Kandemir, M., Schmidt, P., Rao, M., Rajamani, K., and Hamprecht, F. A., ?Gaussian process density counting from weak supervision?, ECCV. Proceedings, vol. LNCS 9905. Springer, pp. 365-380 , 2016.

F.  Aström and Schnörr, C., ?A Geometric Approach to Color Image Regularization?. 2016.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?A Geometric Approach to Image Labeling?, in Proc. ECCV, 2016.

J.  Kappes, Speth, M., Reinelt, G., and Schnörr, C., ?Higher-order Segmentation via Multicuts?, Comp. Vision Image Understanding, vol. 143, pp. 104?119, 2016.

F.  Aström, Petra, S., Schmitzer, B., and Schnörr, C., ?Image Labeling by Assignment?. 2016.

Y.  Censor, Gibali, A., Lenzen, F., and Schnörr, C., ?The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising?, J. Comp. Math., vol. 34, pp. 608-623, 2016.

A.  Biller, Badde, S., Nagel, A., Neumann, J. O., Wick, W., Hertenstein, A., Bendszus, M., Sahm, F., Benkhedah, N., and Kleesiek, J., ?Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression?, American Journal of Neuroradiology, vol. 37 , pp. 66-73, 2016.

J.  Berger and Schnörr, C., ?Joint Recursive Monocular Filtering of Camera Motion and Disparity Map?, in 38th German Conference on Pattern Recognition, Hannover, 2016.

J.  Berger and Schnörr, C., ?Joint Recursive Monocular Filtering of Camera Motion and Disparity Map?, in 38th German Conference on Pattern Recognition, 2016.

A.  Stefanoiu, Weinmann, A., Storath, M., Navab, N., and Baust, M., ?Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm?, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3384 - 3394, 2016.

M.  Schiegg, Diego, F., and Hamprecht, F. A., ?Learning Diverse Models: The Coulomb Structured Support Vector Machine?, ECCV. Proceedings, vol. LNCS 9907. Springer, pp. 585-599, 2016.

T. M. D.  Strouse, ?Marijuana's Public Health Pros and Cons | For Better | US News?, U.S. News and World Report, 2016.

J. Hendrik Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Multicuts and Perturb & MAP for Probabilistic Graph Clustering?, Journal of Mathematical Imaging and Vision, vol. 56, pp. 221?237, 2016.

J. H.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Multicuts and Perturb & MAP for Probabilistic Graph Clustering?, J. Math. Imag. Vision, vol. 56, pp. 221?237, 2016.

B.  Jähne and Schwarzbauer, M., ?Noise equalisation and quasi loss-less image data compression ? or how many bits needs an image sensor??, tm ? Technisches Messen, vol. 83, pp. 16?24, 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.

E.  Bodnariuc, Petra, S., Poelma, C., and Schnörr, C., ?Parametric Dictionary-Based Velocimetry for Echo PIV?, in Proc. CGPR, 2016.

P.  Swoboda, Shekhovtsov, A., Kappes, J. Hendrik, Schnörr, C., and Savchynskyy, B., ?Partial Optimality by Pruning for MAP-Inference with General Graphical Models?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, pp. 1370?1382, 2016.

P.  Swoboda, Shekhovtsov, A., Kappes, J. H., Schnörr, C., and Savchynskyy, B., ?Partial Optimality by Pruning for MAP-Inference with General Graphical Models?, IEEE Trans. Patt. Anal. Mach. Intell., vol. 38, pp. 1370?1382, 2016.

E.  Bodnariuc, Schiffner, M. F., Petra, S., and Schnörr, C., ?Plane Wave Acoustic Superposition for Fast Ultrasound Imaging?, International Ultrasonics Symposium. 2016.

C.  Haubold, Schiegg, M., Kreshuk, A., Berg, S., Köthe, U., and Hamprecht, F. A., ?Segmenting and Tracking Multiple Dividing Targets Using ilastik?, in Focus on Bio-Image Informatics, vol. 219, Springer, 2016, pp. 199-229.

K.  Schwarz, ?Spatio-Temporal Measurements of Water-Wave Height and Slope using Laser-Induced Fluorescence and Splines?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2016.

A.  Sellent, Rother, C., and Roth, S., ?Stereo video deblurring?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, vol. 9906 LNCS, pp. 558?575.

A.  Sellent, Rother, C., and Roth, S., ?Stereo Video Deblurring-Supplemental Material?, 2016.

F.  Silvestri, Reinelt, G., and Schnörr, C., ?Symmetry-free SDP Relaxations for Affine Subspace Clustering?. 2016.

A.  Biesdorf, Wörz, S., von Tengg-Kobligk, H., Rohr, K., and Schnörr, C., ?3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization?, in Proc.~ISBI, 2015.

E.  Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., ?Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV?, in Proc.~EMMCVPR, 2015, vol. 8932, p. 378--391.

E.  Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., ?Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV?, in EMMCVPR, 2015.

N.  Gianniotis, Schnörr, C., Molkenthin, C., and Bora, S. S., ?Approximate variational inference based on a finite sample of Gaussian latent variables?, Patt.~Anal.~Appl., 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.

A.  Neufeld, Berger, J., Becker, F., Lenzen, F., and Schnörr, C., ?Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework?, in 37th German Conference on Pattern Recognition, 2015.

B.  Schmitzer and Schnörr, C., ?Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes?, J.~Math.~Imag.~Vision, vol. 52, p. 436--458, 2015.

B.  Schmitzer and Schnörr, C., ?Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes?, J. Math. Imag. Vision, vol. 52, pp. 436?458, 2015.

H.  Abu Alhaija, Sellent, A., Kondermann, D., and Rother, C., ?Graphflow?6D large displacement scene flow via graph matching?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 285?296.

M.  Schiegg, Hanslovsky, P., Haubold, C., Köthe, U., Hufnagel, L., and Hamprecht, F. A., ?Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell?, Bioinformatics, vol. 31, no. 6, pp. 948-956, 2015.

A.  Kirillov, Savchynskyy, B., Schlesinger, D., Vetrov, D., and Rother, C., ?Inferring M-best diverse labelings in a single one?, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 1814?1822.

K.  Schelten, Nowozin, S., Jancsary, J., Rother, C., and Roth, S., ?Interleaved regression tree field cascades for blind image deconvolution?, in Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, 2015, pp. 494?501.

B.  Krolla, Diebold, M., and Stricker, D., ?Light Field from Smartphone-Based Dual Video?, in Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II, Cham: Springer International Publishing, 2015, pp. 600?610.

M.  Diebold, Blum, O., Gutsche, M., Wanner, S., Garbe, C., Baker, H., and Jähne, B., ?Light-field camera design for high-accuracy depth estimation?, in Videometrics, Range Imaging, and Applications XIII, 2015.

A.  Kirillov, Schlesinger, D., Vetrov, D., Rother, C., and Savchynskyy, B., ?M-best-diverse labelings for submodular energies and beyond?, in Advances in Neural Information Processing Systems, 2015, vol. 2015-Janua, pp. 613?621.

M.  Schiegg, ?Multi-Target Tracking with Probabilistic Graphical Models?. University of Heidelberg, 2015.

J.  Stapf, ?Novel learning-based techniques for dense fluid motion measurements?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2015.

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. H.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts?, in Proc.~SSVM, 2015.

J. Hendrik Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic correlation clustering and image partitioning using perturbed Multicuts?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9087, pp. 231?242.

J.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts?, in Proc. SSVM, 2015.

M.  Schiegg, Heuer, B., Haubold, C., Wolf, S., Köthe, U., and Hamprecht, F. A., ?Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models?, in ISBI. Proceedings, 2015, pp. 394-398.

J.  Berger, Neufeld, A., Becker, F., Lenzen, F., and Schnörr, C., ?Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations?, in Scale Space and Variational Methods in Computer Vision (SSVM 2015), 2015.

J.  Berger, Neufeld, A., Becker, F., Lenzen, F., and Schnörr, C., ?Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations?, in Scale Space and Variational Methods in Computer Vision (SSVM 2015), 2015.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?. 2015.

J.  Berger, Lenzen, F., Becker, F., Neufeld, A., and Schnörr, C., ?Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations?. 2015.

E. - M.  Didden, Thorarinsdottir, T. L., Lenkoski, A., and Schnörr, C., ?Shape from Texture using Locally Scaled Point Processes?, Image Anal. Stereol., vol. 34, pp. 161-170, 2015.

B.  Antic, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., ?Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery?, in Medical Image Computing and Computer-Assisted Intervention, 2015.

C.  Cali, Baghabra, J., Boges, D. J., Holst, G. R., Kreshuk, A., Hamprecht, F. A., Srinivasan, M., Lehväslaiho, H., and Magistretti, P. J., ?Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues?, Journal of Comparative Neurology, vol. 524, pp. 23-38, 2015.

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.

J. P.  Kauppi, Kandemir, M., Saarinen, V. M., Hirvenkari, L., Parkkonen, L., Klami, A., Hari, R., and Kaski, S., ?Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals?, NeuroImage, vol. 112, pp. 288-298, 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.

X.  Lou, Schiegg, M., and Hamprecht, F. A., ?Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability?, IEEE Transactions on Medical Imaging, vol. 33 (4), pp. 849-860, 2014.

K. Ellen Krall, Schneider-Zapf, K., Reith, S., Kiefhaber, D., and Jähne, B., ?Air-sea gas exchange under nature-like surfactant influence in the lab?, in 7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014, 2014.

B.  Güssefeld, Kondermann, D., Schwartz, C., and Klein, R., ?Are reflectance field renderings appropriate for optical flow evaluation??, in International Conference on Image Processing, ICIP 2014, 2014.

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.

S.  Petra and Schnörr, C., ?Average Case Recovery Analysis of Tomographic Compressive Sensing?, Linear Algebra and its Applications, vol. 441, pp. 168-198, 2014.

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. 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.

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.

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.

E.  Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., ?Detection of social actions in fruit flies?, Lecture Notes in Computer Science, vol. 8690, pp. 772?787, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography?, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, p. 262--274.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography?, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, pp. 262?274.

M.  Kandemir, Rubio, J. C., Schmidt, U., Wojek, C., Welbl, J., Ommer, B., and Hamprecht, F. A., ?Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures?, in Medical Image Computing and Computer-Assisted Intervention, 2014, p. 154--161.

M.  Kandemir, Rubio, J. C., Schmidt, U., Welbl, J., Ommer, B., and Hamprecht, F. A., ?Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures?, in MICCAI. Proceedings, 2014, pp. 154-161.

M.  Knorr, Esparza, J., Niehsen, W., and Stiller, C., ?Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view?, in Intelligent Vehicles Symposium Proceedings, 2014, p. 1276--1281.

B.  Schmitzer and Schnörr, C., ?Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes?. 2014.

B.  Schmitzer and Schnörr, C., ?Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes?. 2014.

R.  Lindner, Lou, X., Reinstein, J., Shoeman, R. L., Hamprecht, F. A., and Winkler, A., ?Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation?, Journal of The American Society for Mass Spectrometry, vol. 25, pp. 1018-1028, 2014.

C. N.  Straehle, ?Interactive Segmentation, Uncertainty and Learning?. University of Heidelberg, 2014.

J. H.  Kappes, Beier, T., and Schnörr, C., ?MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves?, in Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {II}, 2014.

J. Hendrik Kappes, Beier, T., and Schnörr, C., ?MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves?, in International Workshop on Graphical Models in Computer Vision, 2014.

H.  Schäfer, Lenzen, F., and Garbe, C. S., ?Model based scattering correction in time-of-flight cameras?, Optics Express, vol. 22, pp. 29835-29846, 2014.

C. N.  Straehle, Kandemir, M., Köthe, U., and Hamprecht, F. A., ?Multiple instance learning with response-optimized random forests?, in ICPR. Proceedings, 2014, pp. 3768 - 3773.

F.  Becker, Petra, S., and Schnörr, C., ?Optical Flow?, Handbook of Mathematical Methods in Imaging. Springer, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General GraphicalModels?, CVPR. Proceedings. pp. 1170-1177, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General Graphical Models?, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General Graphical Models?, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections?, Fundamenta Informaticae, vol. 135, p. 73--102, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections?, Fundamenta Informaticae, vol. 135, pp. 73?102, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Med. Image Anal., vol. 18, pp. 781?794, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Medical Image Analysis, vol. 18, pp. 781-794, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Medical Image Analysis, vol. 18, pp. 781-794, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J.~Imag.~Sci., vol. 7, p. 2139--2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J. Imag. Sci., vol. 7, pp. 2139?2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving QVIs for Image Restoration with Adaptive Constraint Sets?, SIAM Journal on Imaging Sciences (SIIMS), in press, 2014.

B.  Krolla, Diebold, M., Goldlücke, B., and Stricker, D., ?Spherical Light Fields?, in Proceedings of the British Machine Vision Conference, 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.

S.  Lenor, Martini, J., Jähne, B., Stopper, U., Weber, S., and Ohr, F., ?Tracking-based visibility estimation?, in Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, 2014, vol. 8753, p. 365--376.

M.  Sindeev, Konushin, A., and Rother, C., ?Alpha-flow for video matting?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol. 7726 LNCS, pp. 438?452.

R.  Mikut, Dickmeis, T., Driever, W., Geurts, P., Hamprecht, F. A., Kausler, B. X., Ledesma-Carbayo, M., Mare?e, R., Mikula, K., Pantazis, P., Ronneberger, O., Santos, A., and Stotzka, R., ?Automated Processing of Zebrafish Imaging Data: A Survey?, Zebrafish, vol. 10 (3), 2013.

S.  Petra, Schnörr, C., Becker, F., and Lenzen, F., ?B-SMART: Bregman-Based First-Order Algorithms for Non-NegativeCompressed Sensing Problems?, in Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM, 2013, pp. 110-124.

S.  Petra, Schnörr, C., Becker, F., and Lenzen, F., ?B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems?, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 7893, pp. 110-124.

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.  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.

F.  Lenzen, Kim, K. I., Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., ?Denoising Strategies for Time-of-Flight Data?, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200, pp. 24-25.

F.  Lenzen, Kim, K. In, Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., ?Denoising Strategies for Time-of-Flight Data?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 25-45, 2013.

H.  Schäfer, Lenzen, F., and Garbe, C. S., ?Depth and Intensity Based Edge Detection in Time-of-Flight Images?, in 3D Imaging, Modeling, Processing, Visualization and Transmission(3DIMPVT), 2013 International Conference on, 2013, pp. 111-118.

H.  Schäfer, Lenzen, F., and Garbe, C. S., ?Depth and Intensity Based Edge Detection in Time-of-Flight Images?, in 3DV-Conference, 2013 International Conference on, 2013, pp. 111-118.

J.  Lellmann, Lellmann, B., Widmann, F., and Schnörr, C., ?Discrete and Continuous Models for Partitioning Problems?, Int.~J.~Comp.~Visionz, vol. 104, pp. 241-269, 2013.

U.  Schmidt, Rother, C., Nowozin, S., Jancsary, J., and Roth, S., ?Discriminative Non-blind Deblurring?, 2013.

B.  Savchynskyy and Schmidt, S., ?Getting Feasible Variable Estimates From Infeasible Ones: MRF LocalPolytope Study?, in Workshop on Inference for Probabilistic Graphical Models at ICCV.Proceedings, 2013.

B.  Savchynskyy, Kappes, J. H., Swoboda, P., and Schnörr, C., ?Global MAP-Optimality by Shrinking the Combinatorial Search Areawith Convex Relaxation?, in NIPS. Proceedings, 2013, pp. 1950-1958.

B.  Savchynskyy, Kappes, J. H., Swoboda, P., and Schnörr, C., ?Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation?, in NIPS, 2013.

B.  Savchynskyy, Kappes, J. Hendrik, Swoboda, P., and Schnörr, C., ?Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation?, in NIPS, 2013.

S.  Wanner, Straehle, C. N., and Goldlücke, B., ?Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields?, CVPR 2013. Proceedings, pp. 1011-1018, 2013.

S.  Wanner, Straehle, C. N., and Goldlücke, B., ?Globally consistent multi-label assignment on the ray space of 4D light fields?, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

B.  Schmitzer and Schnörr, C., ?A Hierarchical Approach to Optimal Transport?, in Scale Space and Variational Methods (SSVM 2013), 2013, pp. 452-464.

J. H.  Kappes, Speth, M., Reinelt, G., and Schnörr, C., ?Higher-order Segmentation via Multicuts?, ArXiv e-prints. 2013.

J. Hendrik Kappes, Speth, M., Reinelt, G., and Schnörr, C., ?Higher-order Segmentation via Multicuts?, ArXiv e-prints. 2013.

C. N.  Straehle, Peter, S., Köthe, U., and Hamprecht, F. A., ?K-smallest Spanning Tree Segmentations?, in German Conference on Pattern Recognition (DAGM/GCPR). Proceedings, 2013, pp. 375-384.

B.  Schmitzer and Schnörr, C., ?Modelling convex shape priors and matching based on the Gromov-Wasserstein distance?, Journal of Mathematical Imaging and Vision, vol. 46, pp. 143-159, 2013.

B.  Schmitzer and Schnörr, C., ?Modelling convex shape priors and matching based on the Gromov-Wasserstein distance?, Journal of Mathematical Imaging and Vision, vol. 46, pp. 143-159, 2013.

P.  Bell, Schlecht, J., and Ommer, B., ?Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History?, Visual Resources Journal, Special Issue on Digital Art History, vol. 29, p. 26--37, 2013.

B.  Schmitzer and Schnörr, C., ?Object Segmentation by Shape Matching with Wasserstein Modes?, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013), 2013, pp. 123-136.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image PartitioningProblem?, Journal of Mathematical Imaging and Vision, vol. 47 (3), pp. 239-257, 2013.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM, 2013, pp. 477-488.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Scale Space and Variational Methods (SSVM 2013), 2013.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Scale Space and Variational Methods (SSVM 2013), 2013.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Persistency by Pruning for General Graphical Models?, in submitted to NIPS 2013., 2013.

R.  Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., and Kondermann, D., ?A Survey on Time-of-Flight Stereo Fusion?, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8022, pp. 105-127.

R.  Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., ?A Survey on Time-of-Flight Stereo Fusion?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.

R.  Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., ?A Survey on Time-of-Flight Stereo Fusion?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.

D.  Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., and Cree, M. J., ?Technical Foundation and Calibration Methods for Time-of-Flight Cameras?, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200.

D.  Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., Cree, M. J., Koch, R., and Kolb, A., ?Technical Foundation and Calibration Methods for Time-of-Flight Cameras?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 3-24, 2013.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?Tight convex relaxations for vector-valued labeling?, SIAM Journal on Imaging Sciences, 2013.

J. H.  Kappes, Speth, M., Reinelt, G., and Schnörr, C., ?Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization?, in CVPR, 2013.

J. H.  Kappes, Speth, M., Reinelt, G., and Schnörr, C., ?Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization?, in CVPR, 2013.

P.  Swoboda and Schnörr, C., ?Variational Image Segmentation and Cosegmentation with the Wasserstein Distance?, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, p. 321--334.

P.  Swoboda and Schnörr, C., ?Variational Image Segmentation and Cosegmentation with the Wasserstein Distance?, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, pp. 321?334.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences?, International Journal of Computer Vision, vol. 105 (3), pp. 269-297, 2013.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, International Journal of Computer Vision, vol. 105, no. 3, p. 269--297, 2013.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, International Journal of Computer Vision, vol. 105, pp. 269?297, 2013.

C. N.  Straehle, Köthe, U., and Hamprecht, F. A., ?Weakly supervised learning of image partitioning using decision trees with structured split criteria?, in ICCV 2013. Proceedings, 2013, pp. 1849-1856.

B.  Voss, Stapf, J., Berthe, A., and Garbe, C. S., ?Bichromatic Particle Streak Velocimetry bPSV -- Interfacial, v3C3D velocimetry using a single camera?, Exp. Fluids, 2012.

J. H.  Kappes, Savchynskyy, B., and Schnörr, C., ?A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation?, in CVPR. Proceedings, 2012, pp. 1688-1695.

J. H.  Kappes, Savchynskyy, B., and Schnörr, C., ?A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation?, in CVPR, 2012.

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.

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.

H.  Schäfer, Lenzen, F., Meister, S., and Garbe, C. S., ?Edge Detection in Time-of-Flight Images?, in submitted to ECCV, 2nd Workshop on Consumer Depth Cameras for ComputerVision, 2012.

B.  Savchynskyy, Schmidt, S., Kappes, J. H., and Schnörr, C., ?Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing?, UAI. Proceedings, pp. 746-755, 2012.

B.  Savchynskyy, Schmidt, S., Kappes, J. H., and Schnörr, C., ?Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing?, in UAI 2012, 2012.

B.  Savchynskyy and Schmidt, S., ?Getting Feasible Variable Estimates From Infeasible Ones: MRF LocalPolytope Study?, arXiv:1210.4081, 2012.

R.  Nair, Lenzen, F., Schäfer, H., Meister, S., Garbe, C. S., and Kondermann, D., ?High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates?, in submitted to ECCV 2012, 2012, vol. 7584, pp. 1-11.

R.  Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., ?High accuracy TOF and stereo sensor fusion at interactive rates?, in Computer Vision--ECCV 2012. Workshops and Demonstrations, 2012, p. 1--11.

R.  Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., ?High accuracy TOF and stereo sensor fusion at interactive rates?, in Computer Vision?ECCV 2012. Workshops and Demonstrations, 2012, pp. 1?11.

F.  Diego, Serrat, J., and Lo?pez, A. M., ?Joint SpatioTemporal Alignment of Sequences?, IEEE Transactions on Multimedia (TMM), vol. PP (99), p. 1, 2012.

C.  Sommer, Fiaschi, L., Hamprecht, F. A., and Gerlich, D., ?Learning-based Mitotic Cell Detection in Histopathological Images?, ICPR 2012. Proceedings, pp. 2306-2309, 2012.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?The Natural Vectorial Total Variation which Arises from GeometricMeasure Theory?, SIAM Journal on Imaging Sciences, vol. 5, pp. 537-563, 2012.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?The natural vectorial total variation which arises from geometric measure theory?, SIAM Journal on Imaging Sciences, 2012.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem?, Journal of Mathematical Imaging and Vision, vol. 47, pp. 239-257, 2012.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem?, Journal of Mathematical Imaging and Vision, vol. 47, pp. 239-257, 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.

C. S.  Garbe, Voss, B., and Stapf, J., ?Plenoptic Particle Streak Velocimetry (pPSV): 3D3C fluid flow measurement from light fields with a single plenoptic camera?, 16th International Symposium on Applications of Laser Techniques to Fluid Mechanics. Instituto Superior Técnico, pp. 1-12, 2012.

J.  Jancsary, Nowozin, S., Sharp, T., and Rother, C., ?Regression Tree Fields An efficient, non-parametric approach to image labeling problems?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376?2383.

J.  Jancsary, Nowozin, S., Sharp, T., and Rother, C., ?Regression Tree Fields An efficient, non-parametric approach to image labeling problems?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376?2383.

C. N.  Straehle, Köthe, U., Briggman, K., Denk, W., and Hamprecht, F. A., ?Seeded watershed cut uncertainty estimators for guided interactive segmentation?, in CVPR 2012. Proceedings, 2012, pp. 765 - 772.

F.  Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., ?Variational Adaptive Correlation Method for Flow Estimation?, IEEE Transactions on Image Processing, vol. 21, p. 3053 -- 3065, 2012.

F.  Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., ?Variational Adaptive Correlation Method for Flow Estimation?, IEEE Transactions on Image Processing, vol. 21, pp. 3053 ? 3065, 2012.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?Variational Image Denoising with Adaptive Constraint Sets?, in LNCS, 2012, pp. 206-217.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?Variational Image Denoising with Adaptive Constraint Sets?, in Proceedings of the 3rd International Conference on Scale Space and Variational Methods in Computer Vision 2011, 2012, pp. 206-217.

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.

B.  Schmitzer and Schnörr, C., ?Weakly Convex Coupling Continuous Cuts and Shape Priors?, in Scale Space and Variational Methods (SSVM 2011), 2012, pp. 423-434.

U.  Schimpf, Nagel, L., and Jähne, B., ?The 2009 SOPRAN active thermography pilot experiment in the Baltic Sea?, in Gas Transfer at Water Surfaces 2010, 2011, p. 358--367.

M.  Schmidt, ?Analysis, Modeling and Dynamic Optimization of 3D Time-of-Flight Imaging Systems?, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2011.

A.  Kreshuk, Straehle, C. N., Sommer, C., Köthe, U., Cantoni, M., Knott, G. W., and Hamprecht, F. A., ?Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images?, PLoS ONE, vol. 6 (10), 2011.

A.  Kreshuk, Straehle, C. N., Sommer, C., Köthe, U., Knott, G. W., and Hamprecht, F. A., ?Automated Segmentation of Synapses in 3D EM Data?, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings, 2011, pp. 220-223.

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.

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.

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.

S.  Nowozin, Rother, C., Bagon, S., Sharp, T., Yao, B., and Kohli, P., ?Decision tree fields?, in Proceedings of the IEEE International Conference on Computer Vision, 2011, pp. 1668?1675.

F.  Lenzen, Schäfer, H., and Garbe, C. S., ?Denoising Time-Of-Flight Data with Adaptive Total Variation?, in Proceedings ISVC, 2011, pp. 337-346.

J.  Schlecht, Carque, B., and Ommer, B., ?Detecting Gestures in Medieval Images?, in Proceedings of the International Conference on Image Processing, 2011, p. 1309--1312.

M.  Schmidt and Jähne, B., ?Efficient and robust reduction of motion artifacts for 3D time-of-flight cameras?, in International Conference on 3D Imaging 2011, Liège, Belgium, 2011.

S.  Schmidt, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Evaluation of a First-Order Primal-Dual Algorithm for MRF EnergyMinimization?, in EMMCVPR 2011, 2011, vol. 6819, pp. 89-103.

S.  Schmidt, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization?, in EMMCVPR, 2011, vol. 6819, pp. 89-103.

S.  Schmidt, Savchynskyy, B., Kappes, J. Hendrik, and Schnörr, C., ?Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization?, in EMMCVPR, 2011, vol. 6819, pp. 89-103.

S.  Wanner, Sommer, C., Rocholz, R., Hamprecht, F. A., and Jähne, B., ?A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface?, in 16th International Workshop on Vision, Modelling and Visualization, 2011, pp. 199-206.

S.  Wanner, Sommer, C., Rocholz, R., Jung, M., Hamprecht, F. A., and Jähne, B., ?A framework for interactive visualization and classification of dynamical processes at the water surface?, in 16th International Workshop on Vision, Modelling and Visualization, 2011, p. 199--206.

A.  Nicola, Petra, S., Popa, C., and Schnörr, C., ?A general extending and constraining procedure for linear iterative methods?, Int.~J.~Comp.~Math., 2011.

A.  Nicola, Petra, S., Popa, C., and Schnörr, C., ?A general extending and constraining procedure for linear iterative methods?, Int. J. Comp. Math., 2011.

K.  He, Rhemann, C., Rother, C., Tang, X., and Sun, J., ?A global sampling method for alpha matting?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2049?2056.

J. H.  Kappes, Speth, M., Andres, B., Reinelt, G., and Schnörr, C., ?Globally Optimal Image Partitioning by Multicuts?, in EMMCVPR, 2011, pp. 31-44.

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.

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.

C.  Sommer, Straehle, C. N., Köthe, U., and Hamprecht, F. A., ?ilastik: Interactive Learning and Segmentation Toolkit?, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings, 2011, pp. 230-233.

J.  Schleicher, ?Image Processing for Super-Resolution Localization Microscopy Utilizing an FPGA Accelerator?, University of Heidelberg, 2011.

A.  Schapowalow, ?Implementierung der "Focus-Sweep" Technik mit Hilfe von Scheimpflugoptikund TDI-Technik?, University of Heidelberg, 2011.

A.  Schapowalow, ?Implementierung der Focus-Sweep Technik mit Hilfe von Scheimpflugoptik und TDI-Technik?, Fakultät für Mathematik und Informatik, Ruprecht-Karls-Universität Heidelberg, Germany, 2011.

C. N.  Straehle, ?Interactive Segmentation of Neural Electron Microscopy Data?, University of Heidelberg, 2011.

J.  Schnieders, ?Investigation of Momentum Transfer across the Air-Sea Interface by Means of Active and Passive Thermography?, Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, 2011.

U.  Schimpf, Nagel, L., and Jähne, B., ?Lock-in thermography at the ocean surface: a local and fast method to investigate heat and gas exchange between ocean and atmosphere?, in DPG Frühjahrstagung Dresden, Fachverband Umweltphysik, 2011.

D.  Kiefhaber, Rocholz, R., Schaper, J., Balschbach, G., and Jähne, B., ?Mean square slope measurements in the field with the reflective stereo slope gauge?, in EGU General Assembly, Vienna, 2011.

D.  Kiefhaber, Rocholz, R., Balschbach, G., Schaper, J., and Jähne, B., ?Measurement of ocean wave statistics with the reflective stereo slope gauge?, in DPG Frühjahrstagung Dresden, Fachverband Umweltphysik, 2011.

D.  Breitenreicher and Schnörr, C., ?Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data?, Int.~J.~Comp.~Vision, vol. 92, p. 32--52, 2011.

D.  Breitenreicher and Schnörr, C., ?Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data?, Int. J. Comp. Vision, vol. 92, pp. 32?52, 2011.

M.  Bleyer, Rother, C., Kohli, P., Scharstein, D., and Sinha, S., ?Object stereo Joint stereo matching and object segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 3081?3088.

B. H.  Menze, Kelm, B. Michael, Splitthoff, N., Köthe, U., and Hamprecht, F. A., ?On oblique random forests?, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings., 2011, pp. 453-469.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image PartitioningProblem?, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, pp. 132-146.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem?, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, p. 132--146.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem?, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, vol. 6819, pp. 132?146.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem?, IPA group, Heidelberg University, 2011.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Order Preserving and Shape Prior Constrained Intra-Retinal LayerSegmentation in Optical Coherence Tomography?, in MICCAI 2011, Proceedings, 2011, vol. 6893, pp. 370-377.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography?, in MICCAI, 2011, vol. 6893, p. 370--377.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography?, Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), vol. 6893. Springer, pp. 370?377, 2011.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography?, in MICCAI, 2011, vol. 6893, pp. 370?377.

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.

J.  Lellmann and Schnörr, C., ?Regularizers for Vector-Valued Data and Labeling Problems in Image Processing?, Control Systems and Computers, vol. 2, pp. 43?54, 2011.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?Sparse Template-Based Variational Image Segmentation?, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?Sparse Template-Based Variational Image Segmentation?, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.

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

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAPLabeling?, IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), accepted as oral presentation, pp. 1817 - 1823, 2011.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling?, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling?, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

S.  Nowozin and Sharp, T., ?Supplementary Material : Decision Tree Fields?, Iccv, 2011.

L.  Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R.  dos, and Meinzer, H. - P., ?Towards mobile augmented reality for on-patient visualization of medical images?, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.

F.  Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., ?Variational Adaptive Correlation Method for Flow Estimation?, IEEE Transactions on Image Processing, vol. 21, 6, pp. 3053 - 3065, 2011.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?Variational Image Denoising with Adaptive Constraint Sets?, in Proceedings of the 3nd International Conference on Scale Space andVariational Methods in Computer Vision 2011, in press, 2011, vol. 6667, pp. 206-217.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences?, in 2011 IEEE International Conference on Computer Vision ICCV, 2011, pp. 1692-1699.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, p. 1692 -- 1699.

F.  Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., ?Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences?, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, pp. 1692 ? 1699.

M.  Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R., ?Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy?, Nano Letters, vol. 11, pp. 3099-3107, 2011.

J.  Schaper, ?Wave Height Estimation with Stereo Images of the Reflective Stereo Slope Gauge (RSSG)?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.

L.  Maier-Hein, Schmidt, M., Franz, A. M., Santos, T. R.  dos, Seitel, A., Jähne, B., Fitzpatrick, J. M., and Meinzer, H. - P., ?Accounting for an­iso­tro­pic noise in fine registration of time-of-flight range data with high-resolution surface data?, in Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), 2010, vol. 6361, p. 251--258.

A.  Kreshuk, Stankiewicz, M., Lou, X., Kirchner, M., Hamprecht, F. A., and Mayer, M. P., ?Automated detection and analysis of bimodal isotope peak distribution in H/D exchange mass spectrometry using HeXicon?, International Journal of Mass Spectrometry, vol. 302, pp. 125-131, 2010.

C.  Scheelen, ?Automated Quality Control in the Life Sciences?, University of Heidelberg, 2010.

J.  Stapf, ?Bestimmung der dynamischen Oberflächenspannung mit Hilfe der Blasendruckmethode?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ 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.

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

X.  Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., ?Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments?, Bioinformatics, vol. 26(12), pp. 1535-1541, 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.

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. Y.  Renard, Timm, W., Kirchner, M., Steen, J. A. J., Hamprecht, F. A., and Steen, H., ?Estimating the Confidence of Peptide Identifications without Decoy Databases?, Analytical Chemistry, pp. 4314-4318, 2010.

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.

J.  Lellmann, Breitenreicher, D., and Schnörr, C., ?Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision?, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, p. 494--505.

J.  Lellmann, Breitenreicher, D., and Schnörr, C., ?Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision?, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, pp. 494?505.

K.  Börner, Hermle, J., Sommer, C., Brown, N. P., Knapp, B., Glass, B., Torralba, G., Reymann, J., Beil, N., Beneke, J., Pepperkok, R., Schneider, R., and Ludwig, T., ?From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication?, Biotechnology Journal, vol. 5, pp. 39-49, 2010.

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.

C.  Sommer, ?Interactive Learning for the Analysis of Biomedical and Industrial Imagery?. University of Heidelberg, 2010.

M.  Jehle, Sommer, C., and Jähne, B., ?Learning of Optimal Illumination for Material Classification?, in Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany, 2010, pp. 563-572.

M.  Jehle, Sommer, C., and Jähne, B., ?Learning of optimal illumination for material classification?, in Pattern Recognition, 2010, vol. 6376, p. 563--572.

M.  Kirchner, Steen, J. A. J., Hamprecht, F. A., and Steen, H., ?MGFp: An Open Mascot Generic Format Parser Library Implementation?, Journal of Proteome Research, vol. 9 (5), p. 27622763, 2010.

J. H.  Kappes, Schmidt, S., and Schnörr, C., ?MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation?, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.

J. H.  Kappes, Schmidt, S., and Schnörr, C., ?MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation?, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.

J. H.  Kappes, Schmidt, S., and Schnörr, C., ?MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation?, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, pp. 735?747.

Z.  Lin, Erz, M., and Jähne, B., ?Multi-frequency multi-sampling fluorescence lifetime imaging using a high-speed line-scan camera?, in Optics, Photonics, and Digital Technologies for Multimedia Applications, 12--15 April 2010, Brussels, 2010, vol. 7723, p. 77231S.

D.  Singaraju, Rother, C., and Rhemann, C., ?New appearance models for natural image matting?, 2010, pp. 659?666.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for Variational Relaxations of Optimal PartitionProblems?, 2010.

A.  Vlasenko and Schnörr, C., ?Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates?, IEEE Trans.~Image Proc., vol. 19, pp. 586-595, 2010.

A.  Vlasenko and Schnörr, C., ?Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates?, IEEE Trans. Image Proc., vol. 19, pp. 586-595, 2010.

D.  Breitenreicher and Schnörr, C., ?Robust 3D object registration without explicit correspondence using geometric integration?, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.

D.  Breitenreicher and Schnörr, C., ?Robust 3D object registration without explicit correspondence using geometric integration?, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.

M.  Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Parts-Based Object Class Detection Using Complete Graphs?, Int.~J.~Comp.~Vision, vol. 87, pp. 93-117, 2010.

M.  Bergtholdt, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Parts-Based Object Class Detection Using Complete Graphs?, Int. J. Comp. Vision, vol. 87, pp. 93-117, 2010.

D.  Heitz, Mémin, E., and Schnörr, C., ?Variational fluid flow measurements from image sequences: synopsis and perspectives?, Exp.~Fluids, vol. 48, pp. 369-393, 2010.

D.  Heitz, Mémin, E., and Schnörr, C., ?Variational fluid flow measurements from image sequences: synopsis and perspectives?, Exp. Fluids, vol. 48, pp. 369-393, 2010.

V.  Beushausen, Roetmann, K., Schmunk, W., Wellhausen, M., Garbe, C. S., and Jähne, B., ?2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications?, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 155--164, 2009.

S.  Petra, Schröder, A., and Schnörr, C., ?3D Tomography from Few Projections in Experimental Fluid Mechanics?, Imaging Measurement Methods for Flow Analysis, vol. 106. Springer, pp. 63-72, 2009.

A.  Shesh, Criminisi, A., Rother, C., and Smyth, G., ?3D-aware image editing for out of bounds photography?, in Proceedings - Graphics Interface, 2009, pp. 47?54.

S.  Petra, Popa, C., and Schnörr, C., ?Accelerating Constrained SIRT with Applications in Tomographic Particle Image Reconstruction?, IWR, University of Heidelberg, 2009.

B.  Jähne, ?Air-sea gas exchange?, Encyclopedia Ocean Sciences. Elsevier, pp. 147-156, 2009.

L.  Görlitz, Hamprecht, F. A., and Staudacher, M., ?Allocation of particles to development processes?, Patent, 2009.

K.  Hansen, Rathke, F., Schroeter, T., Rast, G., Fox, T., Kriegl, J. M., and Mika, S., ?Bias-correction of regression models: a case study on hERG inhibition?, J. Chem. Inf. Model., vol. 49, no. 6, pp. 1486?1496, 2009.

N.  Ozlu, Monigatti, F., Renard, B. Y., Field, C. M., Steen, H., Mitchison, T. J., and Steen, J. J., ?Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition?, Molecular & Cellular Proteomics, 2009.

T.  Hörnlein, Jähne, B., and Süße, H., ?Boosting shift-invariant features?, in Pattern Recognition, 2009, vol. 5748, p. 121--130.

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.

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.

C.  Bähnisch, Stelldinger, P., and Köthe, U., ?Fast and Accurate 3D Edge Detection for Surface Reconstruction?, in Pattern Recognition, 2009, vol. 5748, pp. 111-120.

L.  Nagel, Schimpf, U., and Jähne, B., ?First results from the 2009 SOPRAN active thermography pilot experiment in the Baltic Sea?, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.

C.  Thieke, Nix, O., Koehn, A., Floca, R., van Straaten, D., Hahn, H., Strauss, L. G., Siems, U., Graf, M., Pruem, H., Klein, J., Laue, H., and Kaster, F. O., ?A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy?, Strahlentherapie und Onkologie, vol. 185, p. 81, 2009.

A.  Nicola, Petra, S., Popa, C., and Schnörr, C., ?On a general extending and constraining procedure for linear iterative methods?, IWR, University of Heidelberg, 2009.

A.  Nicola, Petra, S., Popa, C., and Schnörr, C., ?On a general extending and constraining procedure for linear iterative methods?, IWR, University of Heidelberg, 2009.

V.  Lempitsky, Kohli, P., Rother, C., and Sharp, T., ?Image segmentation with a bounding box prior?, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 277?284.

D.  Breitenreicher and Schnörr, C., ?Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence?, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.

D.  Breitenreicher and Schnörr, C., ?Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence?, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.

D.  Singaraju, Rother, C., and Rhemann, C., ?New appearance models for natural image matting?, in 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, vol. 2009 IEEE, pp. 659?666.

M.  Schmidt and Jähne, B., ?A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light?, in 3rd Workshop on Dynamic 3-D Imaging, 2009, vol. 5742, p. 1--15.

H.  Meine, Köthe, U., and Stelldinger, P., ?Pixel Approximation Errors in Common Watershed Algorithms?, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.

H.  Meine, Köthe, U., and Stelldinger, P., ?Pixel Approximation Errors in Common Watershed Algorithms?, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.

M.  Staudacher, Hamprecht, F. A., and Görlitz, L., ?Self Adjustment of Scanning Electron Microscopes / Selbstadaptivität von Rasterelektronenmikroskopen?, Patent, Patent Number  WO2009062781A1, 2009.

F.  Lauer and Schnörr, C., ?Spectral Clustering of Linear Subspaces for Motion Segmentation?, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, in press, 2009, pp. 678-685.

F.  Lauer and Schnörr, C., ?Spectral Clustering of Linear Subspaces for Motion Segmentation?, in Proc.~IEEE Int.~Conf.~Computer Vision (ICCV'09), 2009.

F.  Lauer and Schnörr, C., ?Spectral Clustering of Linear Subspaces for Motion Segmentation?, in Proc. IEEE Int. Conf. Computer Vision (ICCV'09), Kyoto, Japan, 2009.

D.  Singaraju, Rother, C., and Rhemann, C., ?Supplementary material for New Appearance Models for Image Matting?, 2009.

J.  Shotton, Winn, J., Rother, C., and Criminisi, A., ?TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context?, International Journal of Computer Vision, vol. 81, pp. 2?23, 2009.

S.  Petra and Schnörr, C., ?TomoPIV meets Compressed Sensing?, IWR, University of Heidelberg, 2009.

S.  Petra and Schnörr, C., ?TomoPIV meets Compressed Sensing?, Pure Math.~Appl., vol. 20, p. 49 -- 76, 2009.

S.  Petra and Schnörr, C., ?TomoPIV meets Compressed Sensing?, IWR, University of Heidelberg, 2009.

S.  Petra and Schnörr, C., ?TomoPIV meets Compressed Sensing?, Pure Math. Appl., vol. 20, pp. 49 ? 76, 2009.

N.  Gianniotis, Ti&ntilde;o, P., Spreckley, S., and Raychaudhury, S., ?Topographic Mapping of Astronomical Light Curves via a PhysicallyInspired Probabilistic Model?, in Proceedings of ICANN 2009, 2009, pp. 567-576.

J.  Yuan, Schnörr, C., and Steidl, G., ?Total-Variation Based Piecewise Affine Regularization?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.

J.  Yuan, Schnörr, C., and Steidl, G., ?Total-Variation Based Piecewise Affine Regularization?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.

B.  Jähne and Schwarzkopf, P., ?Transparency for Industrial Cameras and Sensors?. 2009.

C. S.  Garbe, Flatow, F., Klinger, M., Schepanski, K., Tegen, I., and Rannacher, R., ?Transport of dust across the Sahara from satellite image sequence analysis?, in Eos Transactions, 2009, vol. 90, no. 52, p. EP21A-0565.

C. S.  Garbe, Flatow, F., Klinger, M., Schepanski, K., Tegen, I., and Rannacher, R., ?Transport of Sahara dust into the Atlantic Ocean from satellite image sequence analysis?, in SOLAS Open Science Conference, 2009, p. 27.

A.  Vlasenko and Schnörr, C., ?Variational Approaches for Model-Based PIV and Visual Fluid Analysis?, Imaging Measurement Methods for Flow Analysis, vol. 106. Springer, pp. 247-256, 2009.

A.  Vlasenko and Schnörr, C., ?Variational Approaches for Model-Based PIV and Visual Fluid Analysis?, Imaging Measurement Methods for Flow Analysis, vol. 106. Springer, pp. 247-256, 2009.

B. Y.  Renard, Kirchner, M., Monigatti, F., Ivanov, A. R., Rappsilber, J., Winter, D., Steen, J. A. J., Hamprecht, F. A., and Steen, H., ?When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing?, Proteomics, vol. 9, pp. 4978-4984, 2009.

D.  Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., ?An active thermographic technique for highly resolved heat transport measurements in paper drying?, APPITA Journal, vol. 61, p. 244--249, 2008.

P. Vincent Gehler, Rother, C., Blake, A., Minka, T., and Sharp, T., ?Bayesian color constancy revisited?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 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.

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.

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.

F.  Becker and Schnörr, C., ?Decomposition of Quadratric Variational Problems?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.

F.  Becker and Schnörr, C., ?Decomposition of Quadratric Variational Problems?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.

J. A. J.  Steen, Steen, H., Georgi, A., Parker, K. C., Springer, M., Kirchner, M., Hamprecht, F. A., and Kirschner, M. W., ?Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis?, Proceedings of the National Academy of Sciences, vol. 105, pp. 6069-6074, 2008.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, Exp. Fluids, vol. 45, p. 583--593, 2008.

S.  Petra, Popa, C., and Schnörr, C., ?Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods?, in Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08), Constanta, Romania, 2008.

S.  Petra, Popa, C., and Schnörr, C., ?Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods?, in Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08), Bucharest, Romania, 2008.

S.  Petra, Popa, C., and Schnörr, C., ?Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction?, IWR, University of Heidelberg, 2008.

S.  Petra, Popa, C., and Schnörr, C., ?Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction?, IWR, University of Heidelberg, 2008.

C.  Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., ?High resolution matting via interactive trimap segmentation?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

C.  Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., ?High resolution matting via interactive trimap segmentation?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

C.  Rhemann, Rother, C., Rav-Acha, A., and Sharp, T., ?High resolution matting via interactive trimap segmentation?, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.

M.  Schmidt, ?How to perform camera measurements according to the EMVA 1288 Standard.?. 2008.

J. H.  Kappes and Schnörr, C., ?MAP-Inference for Highly-Connected Graphs with DC-Programming?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 1--10.

J. H.  Kappes and Schnörr, C., ?MAP-Inference for Highly-Connected Graphs with DC-Programming?, in Pattern Recognition ? 30th DAGM Symposium, 2008, vol. 5096, pp. 1?10.

C. S.  Garbe, Schimpf, U., and Jähne, B., ?Measuring momentum transport directly at the air water interface from active infrared thermography?, in Geophysical Research Abstracts, 2008.

M.  Staudacher, Hamprecht, F. A., and Görlitz, L., ?Method for processing an intensity image of a microscope?, Patent, Patent Number: WO2008034721A1, 2008.

K.  Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., ?Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering?, Exp. Fluids, vol. 44, p. 419--430, 2008.

B. Y.  Renard, Kirchner, M., Steen, H., Steen, J. A. J., and Hamprecht, F. A., ?NITPICK: Peak Identification for Mass Spectrometry Data?, BMC Bioinformatics, vol. 9, p. 355, 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.

M.  Schmidt, ?Optische Methoden zur Form- und Positionserkennung von Körpern in Werkzeugmaschinen?, Fried­rich-Schil­ler-Uni­ver­si­tät Je­na, 2008.

P.  Kohli, Shekhovtsov, A., Rother, C., Kolmogorov, V., and Torr, P., ?On partial optimality in multi-label MRFs?, in Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 480?487.

P.  Sauer, ?Pattern Recognition on Statistically Textured Surfaces?, University of Heidelberg, 2008.

S.  Munder, Schnörr, C., and Gavrila, D. M., ?Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models?, IEEE Trans. Intell. Transp. Systems, vol. 9, pp. 333-343, 2008.

A.  Vlasenko and Schnörr, C., ?Physically Consistent Variational Denoising of Image Fluid Flow Estimates?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 406--415.

A.  Vlasenko and Schnörr, C., ?Physically Consistent Variational Denoising of Image Fluid Flow Estimates?, in Pattern Recognition ? 30th DAGM Symposium, 2008, vol. 5096, pp. 406?415.

M.  Schmidt, Jehle, M., and Jähne, B., ?Range flow estimation based on photonic mixing device data?, Int. J. Intelligent Systems Technologies and Applications, vol. 5, p. 380--392, 2008.

T.  König, Menze, B. H., Kirchner, M., Monigatti, F., Parker, K. C., Patterson, T., Steen, J. J., Hamprecht, F. A., and Steen, H., ?Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics?, Journal of Proteome Research, vol. 7, pp. 3708-3717, 2008.

S.  Petra, Schröder, A., Wieneke, B., and Schnörr, C., ?On Sparsity Maximization in Tomographic Particle Image Reconstruction?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.

S.  Petra, Schröder, A., Wieneke, B., and Schnörr, C., ?On Sparsity Maximization in Tomographic Particle Image Reconstruction?, in Pattern Recognition ? 30th DAGM Symposium, 2008, vol. 5096, pp. 294?303.

M.  Schmidt, ?Spatiotemporal Analysis of Range Imagery?. IWR, Fakultät für Physik und Astronomie, University of Heidelberg, 2008.

H.  Meine, Köthe, U., and Stelldinger, P., ?A Topological Sampling Theorem for Robust Boundary Reconstructionand Image Segmentation?, Discrete Applied Mathematics, vol. 157, pp. 524-541, 2008.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?A Variational Approach to Adaptive Correlation for Motion Estimationin Particle Image Velocimetry"?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, pp. 335-344.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 335--344.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry?, in Pattern Recognition ? 30th DAGM Symposium, 2008, vol. 5096, pp. 335?344.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?Variational Correlation Approach to Flow Measurement with WindowAdaption?, in 14th International Symposium on Applications of Laser Techniquesto Fluid Mechanics, 2008, p. 1.1.8.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?Variational Correlation Approach to Flow Measurement with Window Adaption?, in 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2008, p. 1.1.3.

F.  Becker, Wieneke, B., Yuan, J., and Schnörr, C., ?Variational Correlation Approach to Flow Measurement with Window Adaption?, in 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2008, p. 1.1.3.

C.  Gosch, Fundana, K., Heyden, A., and Schnörr, C., ?View Point Tracking of Rigid Object Based on Shape Sub-Manifolds?, in Computer Vision -- ECCV 2008, 2008, vol. 5302, p. 251--263.

C.  Gosch, Fundana, K., Heyden, A., and Schnörr, C., ?View Point Tracking of Rigid Object Based on Shape Sub-Manifolds?, in Computer Vision ? ECCV 2008, 2008, vol. 5302, pp. 251?263.

D.  Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., ?An active thermographic technique for highly resolved heat transport measurements in paper drying?, in 61st Appita Annual Conference Proceedings, 2007, pp. 161-167.

C.  Kondermann, Kondermann, D., Jähne, B., Garbe, C. S., Schnörr, C., and Jähne, B., ?An adaptive confidence measure for optical flows based on linear subspace projections?, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, vol. 4713, p. 132--141.

C. S.  Garbe, Banerjee, D., Schimpf, U., and Jähne, B., ?Aktive Thermografie für die Untersuchung von Transportprozessen?, in Thermografie-Kolloquium, 2007, p. 1--8.

M.  Kirchner, Saussen, B., Steen, H., Steen, J. A. J., and Hamprecht, F. A., ?amsrpm: Robust Point Matching in Retention Time Alignment of LC/MS Data with R?, Journal of Statistical Software, vol. 18, pp. 1-12, 2007.

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

J.  Yuan, Schnörr, C., and Mémin, E., ?Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation?, J.~Math.~Imag.~Vision, vol. 28, pp. 67-80, 2007.

A.  Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., ?Do life-logging technologies support memory for the past? An experimental study using sensecam?, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81?90.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, in 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept., 2007.

A.  Criminisi, Blake, A., Rother, C., Shotton, J., and Torr, P. H. S., ?Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming?, International Journal of Computer Vision, vol. 71, pp. 89?110, 2007.

T.  Hara, VanInwegen, E., Wendelbo, J., Schimpf, U., Jähne, B., Frew, N. M., and Jähne, B., ?Estimation of air-sea gas and heat fluxes from infrared imagery based on near surface turbulence models?, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer-Verlag, 2007.

C.  Schellewald, Roth, S., and Schnörr, C., ?Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views?, Image Vision Comp., vol. 25, p. 1301--1314, 2007.

C.  Schellewald, Roth, S., and Schnörr, C., ?Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views?, Image Vision Comp., vol. 25, pp. 1301?1314, 2007.

C. S.  Garbe, Schnörr, C., and Jähne, B., ?Fluid flow estimation through integration of physical flow configurations?, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, p. 92--101.

J.  Schmähling and Hamprecht, F. A., ?Generalizing the Abbott-Firestone curve by two new surface descriptors?, Wear, vol. 262, pp. 1360-1371, 2007.

R.  Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., ?Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification?, in Pattern Recognition -- 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.

R.  Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., ?Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification?, in Pattern Recognition ? 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.

B.  Jähne, Popp, C., Schimpf, U., Garbe, C. S., and Jähne, B., ?The influence of intermittency on air/water gas transfer measurements?, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer-Verlag, 2007.

J.  Gall, Potthoff, J., Schnörr, C., Rosenhahn, B., and Seidel, H. - P., ?Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications?, J.~Math.~Imag.~Vision, vol. 28, p. 1--18, 2007.

J.  Gall, Potthoff, J., Schnörr, C., Rosenhahn, B., and Seidel, H. - P., ?Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications?, J. Math. Imag. Vision, vol. 28, pp. 1?18, 2007.

M.  Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., ?Median and related local filters for tensor-valued images?, Signal Processing, vol. 87, pp. 291-308, 2007.

M.  Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., ?Median and related local filters for tensor-valued images?, Signal Processing, vol. 87, pp. 291-308, 2007.

C.  Sigg, Fischer, B., Ommer, B., Roth, V., and Buhmann, J. M., ?Nonnegative CCA for Audiovisual Source Separation?, in International Workshop on Machine Learning for Signal Processing, 2007, p. 253--258.

P.  Ruhnau and Schnörr, C., ?Optical Stokes Flow Estimation: An Imaging-Based Control Approach?, Exp.~in Fluids, vol. 42, p. 61--78, 2007.

P.  Ruhnau and Schnörr, C., ?Optical Stokes Flow Estimation: An Imaging-Based Control Approach?, Exp. in Fluids, vol. 42, pp. 61?78, 2007.

C.  Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., ?Optimizing binary MRFs via extended roof duality?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

C.  Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., ?Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46?, Computing, 2007.

F. A.  Hamprecht, Schnörr, C., and Jähne, B., Eds., ?Pattern Recognition ? 29th DAGM Symposium?, LCNS, vol. 4713. Springer, 2007.

F. A.  Hamprecht, Jähne, B., and Schnörr, C., Eds., Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings, vol. 4713. Springer, 2007.

C.  Schnörr and Jähne, B., ?Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14?, vol. 4713. Springer, 2007.

M.  Schmidt, Jehle, M., and Jähne, B., ?Range flow estimation based on photonic mixing device data?, in Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007, 2007.

B.  Saussen, ?Retention Time Domain Registration of Liquid Chromatography/Mass Spectrometry Data?, University of Heidelberg, 2007.

L.  Görlitz, Singh, M., and Schützbach, P., ?Schnelle 3D-Vermessung von Partikeln in Rasterelektronenmiskroskopen mit Hilfe eines Rücksteuerdetektors?. 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.

L.  Görlitz, Menze, B. H., Weber, M. - A., and Kelm, B. Michael, ?Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields?, in Pattern Recognition, 2007, vol. 4713, pp. 224-233.

C.  Schnörr, ?Signal and Image Approximation with Level-Set Constraints?, Computing, vol. 81, pp. 137-160, 2007.

C.  Schnörr, ?Signal and Image Approximation with Level-Set Constraints?, Computing, vol. 81, pp. 137-160, 2007.

J.  Yuan, Schnörr, C., and Steidl, G., ?Simultaneous Optical Flow Estimation and Decomposition?, SIAM J. Scientific Computing, vol. 29, pp. 2283-2304, 2007.

J.  Yuan, Schnörr, C., and Steidl, G., ?Simultaneous Optical Flow Estimation and Decomposition?, SIAM J.~Scientific Computing, vol. 29, pp. 2283-2304, 2007.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

S.  Petra, Schnörr, C., Schröder, A., and Wieneke, B., ?Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems?, in Proc. 6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 07), Constanta, Romania, 2007.

P.  Ruhnau, Stahl, A., and Schnörr, C., ?Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization?, Measurement Science and Technology, vol. 18, pp. 755-763, 2007.

P.  Ruhnau, Stahl, A., and Schnörr, C., ?Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization?, Measurement Science and Technology, vol. 18, pp. 755-763, 2007.

C.  Schnörr, Schüle, T., and Weber, S., ?Variational Reconstruction with DC-Programming?, Advances in Discrete Tomography and Its Applications. Birkhäuser, Boston, 2007.

B. H.  Menze, Muehl, S., and Sherratt, A. G., ?Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing?, in Broadening Horizons: Multidisciplinary Approaches to Landscape Study, 2007, pp. 5-29.

U.  Schimpf, Popp, C., and Jähne, B., ?Active thermography: a local and fast method to investigate heat and gas exchange between ocean and atmosphere?, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.

K.  Roetmann, Schmunk, W., Garbe, C. S., and Beushausen, V., ?Analyse Mikrofluidischer Strömungen mit Molecular Tagging Velocimetry und Planarer Ramanstreuung?, in Tagungsband Lasermethoden in der Strömungsmesstechnik, 2006.

B. Michael Kelm, Müller, N., Menze, B. H., and Hamprecht, F. A., ?Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM?, in Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis), 2006, pp. 96-103.

S.  Weber, Nagy, A., Schüle, T., Schnörr, C., and Kuba, A., ?A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography?, in Discrete Geometry for Computer Imagery (DGCI 2006), 2006, vol. 4245, pp. 146-156.

S.  Weber, Schüle, T., Schnörr, C., and Kuba, A., ?Binary Tomography with Deblurring?, in Combinatorial Image Analysis, 2006, vol. 4040, pp. 375-388.

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

B. H.  Menze, Ur, J. A., and Sherratt, A. G., ?Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model?, Photgrammetric Engineering & Remote Sensing, vol. 3, pp. 321-327, 2006.

A.  Stahl, Ruhnau, P., and Schnörr, C., ?A Distributed Parameter Approach to Dynamic Image Motion?, in ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision, 2006.

M. P.  Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., ?Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren?, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.

U.  Schimpf, Frew, N. M., Jähne, B., and Hühnerfuss, H., ?Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer?, Marine Surface Films: Chemical Characteristics, Influence on Air-Sea Interactions, and Remote Sensing. Springer, p. 239--252, 2006.

M.  Bergtholdt, Kappes, J. H., and Schnörr, C., ?Learning of Graphical Models and Efficient Inference for Object Class Recognition?, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.

M.  Heiler and Schnörr, C., ?Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming?, J. Mach. Learning Res., vol. 7, pp. 1385?1407, 2006.

B.  Ommer, Sauter, M., and M., B. J., ?Learning Top-Down Grouping of Compositional Hierarchies for Recognition?, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision, 2006, p. 194--194.

K.  Roetmann, Garbe, C. S., Schmunk, W., and Beushausen, V., ?Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering?, in Proc.\ of 12th International Symposium on Flow Visualization, 2006.

A.  Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., ?A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods?, Int.~J.~Computer Vision, vol. 70, pp. 257-277, 2006.

A.  Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., ?A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods?, Int. J. Computer Vision, vol. 70, pp. 257-277, 2006.

D.  Cremers, Sochen, N., and Schnörr, C., ?Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation?, ijcv, vol. 66, pp. 67-81, 2006.

P.  Ruhnau, Stahl, A., and Schnörr, C., ?On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization?, in Proc.~DAGM 2006, 2006, vol. 375-388, pp. 375-388.

P.  Ruhnau, Stahl, A., and Schnörr, C., ?On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization?, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.

B. H.  Menze, Lichy, M. P., Bachert, P., Kelm, B. Michael, Schlemmer, H. P., and Hamprecht, F. A., ?Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor?, NMR in Biomedicine, vol. 19, pp. 599-609, 2006.

S.  Sieg, Stutz, B., Schmidt, T., Hamprecht, F. A., and Maier, W. F., ?A QCAR-approach to materials modelling?, Journal of Molecular Modeling, vol. 12, pp. 611-619, 2006.

J.  Schmähling, ?Statistical characterization of technical surface microstructure?. University of Heidelberg, 2006.

J.  Shotton, Winn, J., Rother, C., and Criminisi, A., ?TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 1?15.

J.  Schmähling, Hamprecht, F. A., and Hoffmann, D. M. P., ?A three-dimensional measure of surface roughness based on mathematical morphology?, International Journal of Machine Tools and Manufacture, vol. 46 (14), pp. 1764-1769, 2006.

D. S.  Kirk, Sellen, A. J., Rother, C., and Wood, K. R., ?Understanding photowork?, in Conference on Human Factors in Computing Systems - Proceedings, 2006, vol. 2, pp. 761?770.

T.  Schüle, Weber, S., and Schnörr, C., ?Adaptive Reconstruction of Discrete-Valued Objects from few Projections?, Electr. Notes in Discr. Math., vol. 20, pp. 365-384, 2005.

B.  Jähne, Nielsen, R., Popp, C., Schimpf, U., and Garbe, C. S., ?Air-Sea Gas Transfer; Schmidt Number dependency and intermittency?, in Presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.

S.  Weber, Schnörr, C., Schüle, T., and Hornegger, J., ?Binary Tomography by Iterating Linear Programs?, Geometric Properties from Incomplete Data. Springer, 2005.

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.

L.  Görlitz, Hamprecht, F. A., and Staudacher, M., ?Detektion von Partikeln in Intensitätsbildern mit Hilfe eines morphologischen Skalenraumes?. Robert-Bosch GmbH, University of Heidelberg, 2005.

T. S.  Schwarz, ?Development of a depth resolving boundary layer visualiziation für gas exchange at free water surfaces?, University of Heidelberg, 2005.

A.  Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., ?Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time?, in Scale-Space 2005, 2005, vol. 3459, pp. 279?290.

J.  Yuan, Ruhnau, P., Mémin, E., and Schnörr, C., ?Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation?, in Scale-Space 2005, 2005, vol. 3459, pp. 267?278.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Discr. Appl. Math., vol. 151, pp. 229-243, 2005.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain decomposition for variational optical flow computation?, IEEE Trans. Image Proc., vol. 14, pp. 1125-1137, 2005.

J.  Neumann, Schnörr, C., and Steidl, G., ?Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers?, Pattern Recognition, vol. 38, pp. 1815-1830, 2005.

T.  Hara, Wendelbo, J., Garbe, C. S., Schimpf, U., and Frew, N. M., ?Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements?, in Presented at: International Liège Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.

B.  Jähne, Schimpf, U., Garbe, C. S., and Degreif, K., ?The Heidelberg Aeolotron: new perspectives for laboratory investigations of small-scale air-sea interaction?, in Poster presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.

D.  Banerjee, Schabel, S., Garbe, C. S., Schimpf, U., Jähne, B., and von Spiegel, W., ?High resolution optical measurement techniques in paper drying?, Inpaper International - 9-10, vol. 4. p. 16--22, 2005.

U.  Schimpf, Frew, N. M., Jähne, B., and Hühnerfuss, H., ?Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer?, M.  Gade and Korenowski, G. M., Eds. Springer, 2005, pp. 239-252.

M.  Heiler and Schnörr, C., ?Learning Sparse Image Codes by Convex Programming?, in Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV'05), Beijing, China, 2005, pp. 1667-1674.

A.  Bruhn, Weickert, J., and Schnörr, C., ?Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods?, vol. 61, pp. 211-231, 2005.

M.  Welk, Becker, F., Schnörr, C., and Weickert, J., ?Matrix-Valued Filters as Convex Programs?, in Scale-Space 2005, 2005, vol. 3459, pp. 204?216.

M.  Heiler and Schnörr, C., ?Natural Image Statistics for Natural Image Segmentation?, Int. J. Comp. Vision, vol. 63, pp. 5?19, 2005.

S.  Weber, Schüle, T., and Schnörr, C., ?Prior Learning and Convex-Concave Regularization of Binary Tomography?, Electr. Notes in Discr. Math., vol. 20, pp. 313-327, 2005.

C.  Schellewald and Schnörr, C., ?Probabilistic Subgraph Matching Based on Convex Relaxation?, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 171-186.

M.  Heiler and Schnörr, C., ?Reverse-Convex Programming for Sparse Image Codes?, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 600-616.

M.  Heiler, Keuchel, J., and Schnörr, C., ?Semidefinite Clustering for Image Segmentation with A-priori Knowledge?, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 309?317, 2005.

M.  Bergtholdt and Schnörr, C., ?Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes?, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 342?350, 2005.

J.  Yuan, Schnörr, C., Steidl, G., and Becker, F., ?A Study of Non-Smooth Convex Flow Decomposition?, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1?12.

B. H.  Menze, Ur, J. A., and Sherratt, A. G., ?Tell Spotting - Surveying Near Eastern Settlement Mounds from Space?, in Proceedings of the XXth CIPA International Symposium 2005, Torino, Italy, 2005, pp. 217-223.

P.  Ruhnau, Gütter, C., Putze, T., and Schnörr, C., ?A variational approach for particle tracking velocimetry?, Meas. Science and Techn., vol. 16, pp. 1449-1458, 2005.

N.  Paragios, Faugeras, O., Chan, T., and Schnörr, C., Eds., ?Variational, Geometric and Level Sets in Computer Vision (VLSM'05)?, lncs, vol. 3752. Springer, Beijing, China, 2005.

A.  Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., ?Variational optic flow computation in real-time?, IEEE Trans. Image Proc., vol. 14, pp. 608?615, 2005.

P.  Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., ?Variational Optical Flow Estimation for Particle Image Velocimetry?, Experiments in Fluids, vol. 38, p. 21--32, 2005.

P.  Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., ?Variational Optical Flow Estimation for Particle Image Velocimetry?, Experiments in Fluids, vol. 38, pp. 21?32, 2005.

M.  Bergtholdt, Cremers, D., and Schnörr, C., ?Variational Segmentation with Shape Priors?, Handbook of Mathematical Models in Computer Vision. Springer, pp. 147-160, 2005.

J.  Strobel, Görlitz, L., and Staudacher, M., ?Verfahren und Prüfkörper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild?. 2005.

N. M.  Frew, Bock, E. J., Schimpf, U., Hara, T., Haußecker, H., Edson, J. B., McGilles, W. R., Nelson, R. K., McKenna, S. P., Uz, B. M., and Jähne, B., ?Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films?, J. Geophys. Res., vol. 109, p. C08S17, 2004.

J.  Giebel, Gavrila, D. M., and Schnörr, C., ?A Bayesian Framework for Multi-cue 3D Object Tracking?, in Computer Vision ? ECCV 2004, 2004, vol. 3024, pp. 241-252.

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.

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.

C. M.  Senet, ?Dynamics of dispersive boundaries: the determination of spatial hydrographic parameter maps from optical sea surface image sequences?. Universität Hamburg, FB Informatik, 2004.

A.  Criminisi, Shotton, J., Blake, A., and Torr, P., ?Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing?, 2004.

B.  Jähne, Schimpf, U., Popp, C., and Garbe, C. S., ?Exchange processes at the ocean surface: their role in coupling atmosphere and ocean, a contribution to the SOLAS project?, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Munich, 22.-26.03.2004, 2004.

J.  Keuchel, Heiler, M., and Schnörr, C., ?Hierarchical Image Segmentation based on Semidefinite Programming?, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 120-128.

A.  Bruhn, Jakob, T., Fischer, M., Weickert, J., Brüning, U., and Schnörr, C., ?High performance cluster computing with 3-D nonlinear diffusion filters?, Real-Time Imaging, vol. 10, pp. 41?51, 2004.

U.  Schimpf, Garbe, C. S., and Jähne, B., ?Investigation of transport processes across the sea surface microlayer by infrared imagery?, J. Geophys. Res., vol. 109, p. C08S13, 2004.

S.  Weber, Schüle, T., Schnörr, C., and Hornegger, J., ?A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections?, Methods of Information in Medicine, vol. 43, pp. 320?326, 2004.

C.  Schlosser, ?Messung von Diffusionskonstanten?, Univ.\ Heidelberg, 2004.

D.  Cremers, Sochen, N., and Schnörr, C., ?Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation?, in Computer Vision ? ECCV 2004, 2004, vol. 3024, pp. 74-86.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing?, in Computer Vision ? ECCV 2004, 2004, vol. 3024, pp. 205-216.

R.  Strzodka and Garbe, C. S., ?Real-time motion estimation and visualization on graphics cards?, in Proceedings IEEE Visualization 2004, 2004, p. 545--552.

C. S.  Garbe, Schimpf, U., and Jähne, B., ?A surface renewal model to analyze infrared image sequences of the ocean surface for the study of air-sea heat and gas exchange?, J. Geophys. Res., vol. 109, pp. 1-18, 2004.

J.  Neumann, Schnörr, C., and Steidl, G., ?SVM-based Feature Selection by Direct Objective Minimisation?, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 212-219.

P.  Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., ?Variational Optical Flow Estimation for Particle Image Velocimetry?, Proc. Lasermethoden in der Strömungsmeßtechnik. Deutsche Gesellschaft für Laser-Anemometrie GALA e.V., Karlsruhe, 2004.

M.  Stöhr, ?Analysis of Flow and Transport in Refractive Index Matched Porous Media?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2003.

N.  Smolyar, ?Bildgebende Spektroskopie an Pflanzenblättern?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2003.

J.  Keuchel, Schnörr, C., Schellewald, C., and Cremers, D., ?Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming?, vol. 25, pp. 1364?1379, 2003.

M. C.  Scholes, Matrai, P. A., Andreae, M. O., Smith, K. A., Manning, M. R., Artaxo, P., Barrie, L. A., Bates, T. S., Butler, J. H., Ciccioli, P., Cieslik, S. A., Delmas, R. J., and Dentener, F. J., ?Biosphere-Atmosphere Interactions?, Atmospheric Chemistry in a Changing World, An Integration and Synthesis of a Decade of Tropospheric Chemistry Research. Springer, p. 19--71, 2003.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 15, 2003.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Parallel Variational Optical Flow Computation?, in Pattern Recognition, Proc. 25th DAGM Symposium, 2003, vol. 2781, pp. 196?203.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Variational Optical Flow Computation?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 07/2003, 2003.

J.  Neumann, Schnörr, C., and Steidl, G., ?Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 5, 2003.

S.  Hader and Hamprecht, F. A., ?Efficient Density Clustering?, Between Data Science and Applied Data Analysis. Springer, pp. 39-48, 2003.

C. S.  Garbe, Spies, H., and Jähne, B., ?Estimation of complex motion from thermographic image sequences?, SPIE Proc., vol. 5073, p. 303--317, 2003.

C. S.  Garbe, Spies, H., and Jähne, B., ?Estimation of surface flow and net heat flux from infrared image sequences?, Journal of Mathematical Imaging and Vision, vol. 19, p. 159--174, 2003.

J.  Neumann, Schnörr, C., and Steidl, G., ?Feasible Adaption Criteria for Hybrid Wavelet ? Large Margin Classifiers?, in Proc. Computer Analysis of Images and Patterns (CAIP'03), 2003, vol. 2756, pp. 588?595.

M.  Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., ?Intercontinental transport of nitrogen oxide pollution plumes?, Atmos. Chem. Phys., vol. 3, p. 387--393, 2003.

S.  Weber, Schüle, T., Schnörr, C., and Hornegger, J., ?A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections?, in Bildverarbeitung für die Medizin 2003, 2003, pp. 41?45.

S.  Weber, Schnörr, C., and Hornegger, J., ?A Linear Programming Relaxation for Binary Tomography with Smoothness Priors?, in Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'03), Palermo, Italy, 2003.

M.  Stöhr, Roth, K., and Jähne, B., ?Measurement of 3D pore-scale flow in index-matched porous media?, Exp. Fluids, vol. 35, p. 159--166, 2003.

M.  Heiler and Schnörr, C., ?Natural Statistics for Natural Image Segmentation?, in Proc. IEEE Int. Conf. Computer Vision (ICCV 2003), Nice, France, 2003, pp. 1259-1266.

U.  Schimpf, Frew, N. M., Kalkenings, R., Garbe, C. S., and Jähne, B., ?Observational studies of parameters influencing air--sea gas exchange?, in Geophysical Research Abstracts, 2003, vol. 5, p. 09328.

A.  Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., ?Real-Time Optic Flow Computation with Variational Methods?, in Proc. Computer Analysis of Images and Patterns (CAIP'03), 2003, vol. 2756, pp. 222-229.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Shape Statistics in Kernel Space for Variational Image Segmentation?, Pattern Recognition, vol. 36, p. 1929--1943, 2003.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Shape Statistics in Kernel Space for Variational Image Segmentation?, Pattern Recognition, vol. 36, pp. 1929?1943, 2003.

D.  Uttenweiler, Weber, C., Jähne, B., Fink, R. H. A., and Schaar, H., ?Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences.?, J Biomed Opt, vol. 8, p. 40--47, 2003.

D.  Cremers and Schnörr, C., ?Statistical Shape Knowledge in Variational Motion Segmentation?, Image and Vision Comp., vol. 21, pp. 77-86, 2003.

C.  Schellewald and Schnörr, C., ?Subgraph Matching with Semidefinite Programming?, in Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'03), Palermo, Italy, 2003.

C. S.  Garbe, Schimpf, U., and Jähne, B., ?A surface renewal model to analyze infrared image sequences for the study of air-sea heat and gas exchange?, in Geophysical Research Abstracts, 2003, p. 11893.

D.  Cremers, Sochen, N., and Schnörr, C., ?Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling?, in Scale Space Methods in Computer Vision, 2003, vol. 2695, p. 388--400.

D.  Cremers, Sochen, N., and Schnörr, C., ?Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling?, in Scale Space Methods in Computer Vision, 2003, vol. 2695, pp. 388?400.

T.  Kohlberger, Mémin, E., and Schnörr, C., ?Variational Dense Motion Estimation Using the Helmholtz Decomposition?, in Scale Space Methods in Computer Vision, 2003, vol. 2695, pp. 432?448.

A.  Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., ?Variational Optic Flow Computation in Real-Time?, Dept. Math. and Comp. Science, Saarland University, Germany, 89, 2003.

H.  Spies and Jähne, B., ?3D-Blattbewegung und Wachstum?, Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann, p. 267--270, 2002.

M.  Klar, Stybalkowski, P., Spies, H., and Jähne, B., ?3D-Strömungsmessung in Kiesporen?, Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann, p. 247--250, 2002.

W.  Hinterberger, Scherzer, O., Schnörr, C., and Weickert, J., ?Analysis of Optical Flow Models in the Framework of Calculus of Variations?, Numer. Funct. Anal. Optimiz., vol. 23, pp. 69?89, 2002.

J.  Keuchel, Naumann, S., Heiler, M., and Siegmund, A., ?Automatic Land Cover Analysis for Tenerife by Supervised Classification using Remotely Sensed Data?, Remote Sensing of Environment, 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.  Spies and Garbe, C. S., ?Dense parameter fields from total least squares?, in Proceedings of the 24th DAGM Symposium on Pattern Recognition, 2002, vol. LNCS 2449, p. 379--386.

A.  Bruhn, Jakob, T., Fischer, M., Kohlberger, T., Weickert, J., Brüning, U., and Schnörr, C., ?Designing 3?D Nonlinear Diffusion Filters for High Performance Cluster Computing?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 290?297.

D.  Cremers, Tischhäuser, F., Weickert, J., and Schnörr, C., ?Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford?Shah functional?, Int. J. Computer Vision, vol. 50, pp. 295?313, 2002.

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.

H.  Spies and Barron, J. L., ?Estimating expansion rates from range data sequences?, in 15th International Conference on Vision Interface, 2002, pp. 339 - 346.

H.  Spies and Barron, J. L., ?Evaluating the range flow motion constraint.?, in ICPR, 2002, p. 517--.

M.  Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., ?Intercontinental transport of nitrogen oxide pollution plumes?, acpd, vol. 3, p. 2151--2165, 2002.

U.  Schimpf, Jähne, B., and Haußecker, H., ?On the investigations of statistical properties of the micro turbulence at the ocean surface?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 51--57.

H.  Scharr and Küsters, R., ?A linear model for simultaneous estimation of 3D motion and depth?, in Proceedins of IEEE Workshop on Motion and Video Computing 2002, Orlando, 2002.

H.  Spies, Dierig, T., Garbe, C. S., and Würtz, R. P., ?Local models for dynamic processes in image sequences?, in Dynamic Perception, 2002, p. 59--64.

C. S.  Garbe, Schimpf, U., and Jähne, B., ?Measuring important parameters for air-sea heat exchange?, in ThermoSense, 2002, vol. 4710, p. 171--182.

C. S.  Garbe, Haußecker, H., and Jähne, B., ?Measuring the sea surface heat flux and probability distribution of surface renewal events?, in Gas Transfer at Water Surfaces, 2002, vol. 127, pp. 109-114.

M.  Klar, Stybalkowski, P., Spies, H., and Jähne, B., ?A miniaturized 3-D particle-tracking velocimetry system to measure the pore flow within a gravel layer?, in Proc. 11th Int. Symp. Applications of Laser Techniques to Fluid Mechanics, 2002, p. 2.3.

C. S.  Garbe, Spies, H., and Jähne, B., ?Mixed OLS-TLS for the estimation of dynamic processes with a linear source term?, in Proceedings of the 24th DAGM Symposium on Pattern Recognition, 2002, vol. 2449, p. 463--471.

P. J.  Gee, Hamprecht, F. A., Schuler, L. D., van Gunsteren, W. F., Duchardt, E., Schwalbe, H., Albert, M., and Seebach, D., ?A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution?, Helv. Chim. Acta, vol. 85, pp. 618-632, 2002.

D.  Cremers and Schnörr, C., ?Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 472?480.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision -- ECCV 2002), 2002, vol. 2351, p. 93--108.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision ? ECCV 2002), 2002, vol. 2351, pp. 93?108.

U.  Schimpf, Garbe, C. S., and Jähne, B., ?Novel insights into heat transfer across the aqueous boundary layer by infrared imagery and its application to air-sea exchange processes?, in Proceedings of Eurotherm 71 on Visualization, Imaging and Data Analysis In Convective Heat and Mass Transfer, 2002.

E. J.  Bock, Edson, J. B., Frew, N. M., Hara, T., Haußecker, H., Jähne, B., McGilles, W. R., McKenna, S. P., Nelson, R. K., Schimpf, U., and Uz, B. M., ?Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 39--44.

C.  Schellewald, Roth, S., and Schnörr, C., ?Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 02/2002, 2002.

H.  Haußecker, Schimpf, U., Garbe, C. S., and Jähne, B., ?Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 103--108.

H.  Spies, Jähne, B., and Barron, J. L., ?Range flow estimation.?, Computer Vision and Image Understanding, vol. 85, p. 209--231, 2002.

T.  Hara, Uz, B. M., Wei, H., Edson, J. B., Frew, N. M., McGilles, W. R., McKenna, S. P., Bock, E. J., Haußecker, H., and Schimpf, U., ?Surface wave observations during CoOP experiments and their relations to air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 45--49.

C. S.  Garbe, Schimpf, U., Schurr, U., and Jähne, B., ?Thermographic measurements in environmental and bio sciences?, in Quantitative Infrared Thermography, 2002, vol. 6, p. 253--259.

C. S.  Garbe, Schurr, U., and Jähne, B., ?Thermographic measurements on plant leaves?, in ThermoSense, 2002, vol. 4710, p. 407--416.

J.  Keuchel, Schnörr, C., Schellewald, C., and Cremers, D., ?Unsupervised Image Partitioning with Semidefinite Programming?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 141?149.

F.  Raisch, Scharr, H., Kirchgeßner, N., Jähne, B., Fink, R. H. A., and Uttenweiler, D., ?Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences?, in Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing, 2002, p. 645--650.

K.  Wiehler, Heers, J., Schnörr, C., Stiehl, H. ?S., and Grigat, R. ?R., ?A 1D analog VLSI implementation for non-linear real-time signal preprocessing?, Real?Time Imaging, vol. 7, pp. 127?142, 2001.

H.  Spies and Scharr, H., ?Accurate optical flow in noisy image sequences?, in ICCV, 2001, p. 587--592.

B.  Jähne, ?Air-sea interaction: gas exchange?, Encyclopedia of Ocean Sciences. Academic Press, pp. 122 - 131, 2001.

H.  Spies, ?Analysing Dynamic Processes in Range Data Sequences?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

C.  Schellewald, Roth, S., and Schnörr, C., ?Application of convex optimization techniques to the relational matching of object views?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 2001.

K.  Saracoglu, ?Bildanalyse von M-FISH?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 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.

D.  Cremers, Schnörr, C., and Weickert, J., ?Diffusion?Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework?, in IEEE First Workshop on Variational and Level Set Methods in Computer Vision, Vancouver, Canada, 2001, pp. 237?244.

M.  Heiler, Cremers, D., and Schnörr, C., ?Efficient Feature Subset Selection for Support Vector Machines?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 21/2001, 2001.

C.  Schellewald, Roth, S., and Schnörr, C., ?Evaluation of Convex Optimization Techniques for the Weighted Graph?Matching Problem in Computer Vision?, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 361?368.

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.

F. A.  Hamprecht, Achleitner, U., Krismer, A. C., Lindner, K. H., Wenzel, V., Strohmenger, H. - U., Thiel, W., and van Gunsteren, W. F., ?Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation?, Resuscitation, vol. 50, pp. 287-296, 2001.

J. L.  Barron and Spies, H., ?The fusion of image and range flow?, Multi-Image Search and Analysis. Springer, p. 174--192, 2001.

H.  Spies and Jähne, B., ?A general framework for image sequence processing?, in Fachtagung Informationstechnik, 2001, p. 125--132.

J.  Heers, Schnörr, C., and Stiehl, H. S., ?Globally?Convergent Iterative Numerical Schemes for Non?Linear Variational Image Smoothing and Segmentation on a Multi?Processor Machine?, IEEE Trans. Image Proc., vol. 10, pp. 852?864, 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, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics via Kernel Spaces?, in Mustererkennung 2001, 2001, vol. 2191, p. 269--276.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics via Kernel Spaces?, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 269?276.

E.  Schulzke, ?Numerische Simulation von elementaren Kalziumfreisetzungsereignissen und photolytische Ca^2+-Freisetzung aus Käfigmolekülen mittels Picosekundenlaser?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

N. E.  Huang, Toba, Y., Shen, Z., Klinke, J., Jähne, B., and Banner, M. L., ?Ocean wave spectra and integral properties?, Wind Stress over the Ocean. Cambridge University Press, p. 82--123, 2001.

N.  Kirchgeßner, Spies, H., Scharr, H., and Schurr, U., ?Root Growth Analysis in Physiological Coordinates?, in International Conference on Image Analysis and Processing (ICIAP'01), 2001.

N.  Kirchgeßner, Spies, H., Scharr, H., and Schurr, U., ?Root Growth Measurements in Object Coordinates?, in Proceedings of the 23th DAGM Symposium on Pattern Recognition, 2001.

C.  Schnörr, ?Statistische Mustererkennung?. 2001.

P.  Stybalkowski, ?Strömungsmessung in Sedimentporen mittel 3D Particle Tracking Velocimetry?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.

H.  Spies, Jähne, B., and Barron, J. L., ?Surface expansion from range data sequences?, in Proceedings of the 23th DAGM Symposium on Pattern Recognition, 2001, p. 163--169.

J.  Weickert and Schnörr, C., ?A Theoretical Framework for Convex Regularizers in PDE?Based Computation of Image Motion?, Int. J. Computer Vision, vol. 45, pp. 245?264, 2001.

B.  Jähne, Garbe, C. S., Schimpf, U., and Schurr, U., ?Thermographie in den Umwelt- und Biowissenschaften?, DGZfP-Berichtsband 77. Deutsche Gesellschaft für zerstörungsfreie Prüfung e.V., 2001.

J.  Weickert and Schnörr, C., ?Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint?, J. Math. Imaging and Vision, vol. 14, pp. 245?255, 2001.

N.  Kirchgeßner, Scharr, H., and Schurr, U., ?3D-Modellierung von Pflan­zen­blät­tern mittels eines Depth-from-Motion Verfahrens?, in Proceedings of the 22th DAGM Symposium on Pattern Recognition, 2000, p. 381--388.

H.  Spies, Gröning, H., Haußecker, H., Jähne, B., and Haußecker, H., ?Analyzing particle movements at soil interfaces?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 648--649, 2000.

H.  Scharr and Weickert, J., ?An anisotropic diffusion algorithm with optimized rotation invariance?, in Proceedings of the 22th DAGM Symposium on Pattern Recognition, 2000, p. 460--467.

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.

H.  Spies, Jähne, B., and Barron, J. L., ?Dense range flow from depth and intensity data?, in ICPR, 2000, p. 131--134.

H.  Spies, Kirchgeßner, N., Scharr, H., and Jähne, B., ?Dense structure estimation via regularised optical flow?, in VMV 2000, 2000, p. 57--64.

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.

H.  Scharr, Jähne, B., Böckle, S., Kazenwadel, J., Kunzelmann, T., Schulz, C., and Krüger, N., ?Flame front analysis in turbulent combustion?, in Mustererkennung 2000, 2000, p. 325--332.

U.  Schimpf, Haußecker, H., and Jähne, B., ?On the investigations of micro turbulence at the water surface using infrared imaging?, in IARGSS 2000, 2000.

C.  Schnörr, Ed., ?Künstliche Intelligenz: Special Issue on Medical Computer Vision?, vol. 3. 2000.

D.  Cremers, Schnörr, C., Weickert, J., and Schellewald, C., ?Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes?, in 3rd Workshop on Dynamic Perception, Berlin, Germany, 2000, vol. 9, pp. 117?122.

H.  Spies, Haußecker, H., and Köhler, H. - J., ?Material transport and structure changes at soil-water interfaces?, in Filters and Drainage in Geotechnical and Environmental Engineering, 2000, p. 91--97.

P.  Geißler, Scholz, T., Jähne, B., and Haußecker, H., ?Monitoring living biomass with in situ microscopy?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 632--633, 2000.

H.  Haußecker, Spies, H., and Jähne, B., ?Motion?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 347--395, 2000.

D.  Uttenweiler, Veigel, C., Steubing, R., Götz, C., Mann, S., Haußecker, H., Jähne, B., and Fink, R. H. A., ?Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.?, Biophys J, vol. 78, p. 2709--2715, 2000.

J. L.  Barron, Liptay, A., and Spies, H., ?Optical and range flow to measure 3D plant growth and motion?, in Image Vision Computing New Zealand, 2000, p. 68--77.

D.  Schmund, Schurr, U., and Jähne, B., ?Optical leaf growth analysis?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 640-641, 2000.

H.  Scharr, ?Optimal separable interpolation of color images with bayer array format?, DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany, 2000.

H.  Scharr, ?Optimale Operatoren in der Digitalen Bildverarbeitung?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.

D.  Engelmann, Stöhr, M., Garbe, C. S., Hering, F., and Jähne, B., ?Particle-tracking velocimetry?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 646-647, 2000.

J.  Weickert and Schnörr, C., ?PDE?Based Preprocessing of Medical Images?, Künstliche Intelligenz, vol. 3, pp. 5?10, 2000.

B.  Jähne and Haußecker, H., ?Performance characteristics of low-level motion estimation in spatiotemporal images?, Performance Characterization in Computer Vision. Kluwer, Dordrecht, pp. pp. 139-152, 2000.

J. L.  Barron and Spies, H., ?Quantitative regularized range flow?, in Vision Interface, 2000, p. 203--210.

H.  Spies, Jähne, B., and Barron, J. L., ?Regularised range flow?, in European Conference on Computer Vision (ECCV), 2000, vol. 2, p. 785--799.

U.  Schimpf, Haußecker, H., Jähne, B., Jähne, B., and Haußecker, H., ?Small-scale air-sea interaction with thermography?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 638--639, 2000.

B.  Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., and Haußecker, H., ?Thermography to measure water relations of plant leaves?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 636--637, 2000.

U.  Schimpf, ?Untersuchung des Gasaustausches und der Mikroturbulenz an der Meeresoberfläche mittels Thermographie?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.

C.  Schnörr, ?Variational Adaptive Smoothing and Segmentation?, in Computer Vision and Applications: A Guide for Students and Practitioners, San Diego, 2000, pp. 459?482.

C.  Schnörr and Weickert, J., ?Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives?, in Mustererkennung 2000, Kiel, Germany, 2000.

M.  Stöhr, Garbe, C. S., Engelmann, D., Geißler, P., Gomes, S., Hering, F., Jähne, B., Keil, F., Mackens, W., Voß, H., and Wagner, H. - G., ?4D particle tracking velocimetry applied to gas-liquid reactors?, in In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control., J.  Werther, Ed. Springer Verlag, 1999, p. 270--279.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Air--sea gas transfer and micro turbulence at the ocean surface using infrared image processing?, in Geoscience and Remote Sensing Symposium, 1999. IGARSS apos;99 Proceedings. IEEE 1999 International, 1999, vol. 1, p. 11--13.

H.  Spies, Beringer, O., Gröning, H., Haußecker, H., Jähne, B., Haußecker, H., and Geißler, P., ?Analyzing particle movements at soil interfaces?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 699-718, 1999.

P.  Geißler, Scholz, T., Jähne, B., Haußecker, H., and Geißler, P., ?Depth-from-focus for the measurement of size distributions of small particles?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 623-646, 1999.

D.  Schmund, ?Development of an Optical Flow Based System for the Precise Measurement of Plant Growth?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1999.

H.  Spies, Haußecker, H., Jähne, B., and Barron, J. L., ?Differential range flow estimation?, in Proceedings of the 21th DAGM Symposium on Pattern Recognition, 1999, p. 309--316.

H. - J.  Köhler, Spies, H., Beringer, O., and Haußecker, H., ?Fluidisation and deformation of submerged soil due to fluctuating water level?, in XII Europ. Conference on Soil Mechanics and Geotechnical Engineering, 1999, p. 1109--1115.

B.  Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., ?The Heidelberg Aelotron --- a new facility for laboratory investigations of small-scale air-sea interaction?, in The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

B.  Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., ?The Heidelberg Aeolotron - a new facility for laboratory investigations of small scale air-sea interaction?, in Poster presented at: The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

J.  Heers, Schnörr, C., and Stiehl, H. S., ?Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation?, Comp. Sci. Dept., AB KOGS, University of Hamburg, Germany, 283/99, 1999.

M.  Wulf, Stiehl, H. S., and Schnörr, C., ?A model of spatiotemporal receptive fields in the primate retina?, in Proc. 1st Göttingen Conf. German Neurosci. Soc., 1999, vol. II.

M.  Wulf, Stiehl, H. S., and Schnörr, C., ?Modeling spatiotemporal receptive fields in the primate retina?, in Proc. Cognitive Neurosci. Conf., Bremen, Germany, 1999.

H.  Haußecker, Spies, H., Jähne, B., Geißler, P., and Haußecker, H., ?Motion?, Handbook of Computer Vision and Applications, vol. 2: Signal Processing and Pattern Recognition. Academic Press, p. 309--396, 1999.

W.  Peckar, Schnörr, C., Rohr, K., and Stiehl, H. ?S., ?Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements?, J. Math. Imaging and Vision, vol. 10, pp. 143?162, 1999.

D.  Engelmann, Stöhr, M., Garbe, C. S., Hering, F., Jähne, B., Haußecker, H., and Geißler, P., ?Particle-tracking velocimetry?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 663-697, 1999.

D.  Schmund, Schurr, U., Jähne, B., Haußecker, H., and Geißler, P., ?Plant-leaf growth studied by image sequence analysis?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 719-735, 1999.

B.  Jähne, Scharr, H., Körkel, S., Jähne, B., Haußecker, H., and Geißler, P., ?Principles of Filter Design?, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 125--151, 1999.

A. H. M.  Blom, Brassel, J. - O., von Brocke, M., and Mittler, M., ?Quality classification and process control of micro-spot laser welding?, in Proceedings of the Ninth International FAIM Conference - Flexible Automation and Intelligent Manufacturing, Tilburg, 1999, p. 929--941.

J.  Weickert and Schnörr, C., ?Räumlich?zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabhängigen Glattheitstermen?, in Mustererkennung 1999, 1999, pp. 317?324.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography?, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

U.  Schimpf, Haußecker, H., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., ?Studies of small-scale air-sea interaction with active and passive thermography?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 751-762, 1999.

B.  Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., Geißler, P., and Haußecker, H., ?Thermography to measure water relations of plant leaves?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 763-781, 1999.

D.  Engelmann, Garbe, C. S., Stöhr, M., and Jähne, B., ?Three dimensional flow dynamics beneath the air-water interface?, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 181--184.

H.  Haußecker, Garbe, C. S., Spies, H., and Jähne, B., ?A total least squares framework for low-level analysis of dynamic scenes and processes?, in Proceedings of the 21th DAGM Symposium on Pattern Recognition, 1999, p. 240--249.

C.  Schnörr, ?Variational Methods for Adaptive Image Smoothing and Segmentation?, in Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition, San Diego, 1999, vol. 2, pp. 451?484.

M.  Scholze, ?Analyse der visuellen Stratigraphie alpiner Eisbohrkerne mittels digitaler Bildverarbeitung?, Fakultät für Physik und Astronomie Universität Heidelberg, 1998.

H.  Spies, ?Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen und Porenströmungen?, University of Heidelberg, 1998.

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.

K.  Wiehler, Grigat, R. ?R., Heers, J., Schnörr, C., and Stiehl, H. S., ?Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi?Dimensional Signals?, in Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications, London, 1998.

M.  Stöhr, ?Entwicklung dreidimensionaler Particle Tracking Velocimetry zur Messung der Zweiphasenströmung in Gas-Flüssig-Reaktoren?, University of Heidelberg, 1998.

J.  Heers, Schnörr, C., and Stiehl, H. ?S., ?Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation?, in Proc. IEEE Int. Conf. Image Proc., Chicago, 1998.

W.  Peckar, Schnörr, C., Rohr, K., Stiehl, H. ?S., and Spetzger, U., ?Linear and Incremental Estimation of Elastic Deformations in Medical Registration Using Prescribed Displacements?, Machine Graphics & Vision, vol. 7, pp. 807?829, 1998.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Measurements of air--sea gas transfer using active and passive thermography?, in Eurochem 387 "Remote Sensing of Slicks and Air--Sea Interactions", 1998.

H.  Haußecker, Schimpf, U., and Jähne, B., ?Measurements of the air-sea gas transfer and its mechanisms by active and passive thermography?, in Proc. IEEE International Geoscience and Remote Sensing Symposium IGARSS '98, 1998, vol. 1, p. 484--486 vol.1.

W.  Peckar, Schnörr, C., Rohr, K., and Stiehl, H. S., ?Non-Rigid Image Registration Using a Parameter-Free Elastic Model?, in 9th British Machine Vision Conference (BMVC`98), Southampton/UK, 1998, pp. 134?143.

J.  Heers, Schnörr, C., and Stiehl, H. ?S., ?Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern?, in Mustererkennung 1998, Heidelberg, 1998.

D.  Schmund, Stitt, M., Jähne, B., and Schurr, U., ?Quantitative analysis of the local rates of growth of dicot leaves at a high temporal and spatial resolution, using image sequence analysis?, Plant Journal, vol. 16, p. 505--514, 1998.

K.  Wiehler, Grigat, R. ?R., Heers, J., Schnörr, C., and Stiehl, H. ?S., ?Real?Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology?, in Mustererkennung 1998, Heidelberg, 1998.

D.  Engelmann, Garbe, C. S., Stöhr, M., Geißler, P., Hering, F., and Jähne, B., ?Stereo particle tracking?, in Proc. of the 8th International Symposium on Flow Visualization, 1998, p. 240--249.

C.  Schnörr, ?A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction?, J. of Math. Imag. and Vision, vol. 8, pp. 271?292, 1998.

B.  Jähne, Haußecker, H., Scharr, H., Spies, H., Schmund, D., and Schurr, U., ?Study of dynamical processes with tensor-based spatiotemporal image processing techniques?, in ECCV 1998, 1998, vol. 1407, p. 322--336.

H.  Haußecker, Spies, H., and Jähne, B., ?Tensor-based image sequence processing techniques for the study of dynamical processes?, in Proc. Intern. Symp. On Real-time Imaging and Dynamic Analysis, 1998, p. 704--711.

C.  Schnörr, ?Variational approaches to Image Segmentation and Feature Extraction?. University of Hamburg, Comp. Sci. Dept., Hamburg, Germany, 1998.

P.  Fornland and Schnörr, C., ?Determining the Dominant Plane from Uncalibrated Stereo Vision by a Robust and Convergent Iterative Approach without Correspondence?, in Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR'97), San Juan, Puerto Rico, 1997.

F. A.  Hamprecht, Scott, W. R. P., and van Gunsteren, W. F., ?Generation of pseudo-native protein structures for threading?, Proteins, vol. 28, pp. 522-529, 1997.

M.  Schultz, ?Geometrische Kalibrierung von CCD-Kameras?, University of Heidelberg, 1997.

A.  Stolz, ?Infrarot-Absorptionsspektroskopie zur Bestimmung der Luftkonzentration von Spurengasen?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1997.

H.  Scharr, Körkel, S., and Jähne, B., ?Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung?, in Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig, 1997, p. 199--208.

P. S.  Liss, Watson, A. J., Bock, E. J., Jähne, B., Asher, W. E., Frew, N. M., Hasse, L., Korenowski, G. M., Merlivat, L., Phillips, L. F., Schlüssel, P., and Woolf, D. K., ?Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases?, The Sea Surface and Global Change. Cambridge University Press, p. 1--33, 1997.

B.  Jähne, Haußecker, H., Platt, U., Schurr, U., and Stitt, M., ?The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes?, in Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997, 1997, p. 107--114.

S.  Gerloff, Hagemann, A., Schnörr, C., Tieck, S., Stiehl, H. S., Dombrowski, R., Dreyer, M., and Wiesendanger, R., ?Semi?Automated Analysis of SXM Images?, in Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM'97), Hamburg, Germany, 1997.

W.  Peckar, Schnörr, C., Rohr, K., and Stiehl, H. S., ?Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements?, in Proc. 9th Int. Conf. on Image Analysis and Processing (ICIAP'97), Florence, Italy, 1997.

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.

H.  Scharr, ?Digitale Bildverarbeitung und Papier Texturanalyse mittels Pyramiden und Grauwertstatistiken am Beispiel der Papierformation?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

G. R.  Spedding, Klinke, J., and Long, S. R., ?Estimating $\omega(k)$ in an unsteady, wind-generated surface wave field from the 2D complex wavelet transform of the surface slope?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 373--382.

U.  Schimpf, ?Fourieranalyse mikroskaliger Temperaturfluktuationen der Wasseroberfläche?, University of Heidelberg, 1996.

C.  Schnörr, Stiehl, H. - S., and Grigat, R. - R., ?On Globally Asymptotically Stable Continuous-Time CNNs for Adaptive Smoothing of Multidimensional Signals?, in Proc. 4th IEEE Int. Workshop on Cellular Neural Networks and their Applications, Seville, Spain, 1996.

T.  Scholz, Jähne, B., Suhr, H., Wehnert, G., Geissler, P., and Schneider, K., ?In-situ determination of cell concentration in bioreactors with a new depth-from-focus technique?, in Proc.\ Optical 3-D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997, 1996, p. 392--399.

A.  Spörl, ?Integration von Fuzzy-Methoden in ein System zur Auswertung von Sensordaten?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

C.  Schnörr, ?Repräsentation von Bilddaten mit einem konvexen Variationsansatz?, in Mustererkennung 1996, Berlin, Heidelberg, 1996, pp. 21?28.

C.  Schnörr, ?Representation of Images by a Convex Variational Diffusion Approach?, FB Informatik, Universität Hamburg, FBI-HH-M-256/96, 1996.

B.  Jähne, Haußecker, H., Hering, F., Balschbach, G., Klinke, J., Lell, M., Schmund, D., Schultz, M., Schurr, U., Stitt, M., and Platt, U., ?The role of active vision in exploring growth, transport, and exchange processes?, in Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996, 1996, vol. 4, p. 194--202.

U.  Schurr, Schuberth, B., Aloni, R., Pradel, K. S., Schmund, D., Jähne, B., and Ullrich, C. I., ?Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis?, Botanica Acta, vol. 109, p. 405--412, 1996.

H.  Haußecker and Jähne, B., ?A tensor approach for local structure analysis in multi-dimensional images?, in 3D Image Analysis and Synthesis, 1996, p. 171--178.

C.  Schnörr, Sprengel, R., and Neumann, B., ?A Variational Approach to the Design of Early Vision Algorithms?, Computing Suppl., vol. 11, pp. 149-165, 1996.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 749--754.

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.

P.  Geißler, Scholz, T., Jähne, B., Schmidt, C., Suhr, H., and Wehnert, G., ?Depth-from-Focus Verfahren zur absoluten Größen- und Konzentrationsbestimmung kleiner Teilchen?, in Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden, 1995, p. 365--380.

T.  Scholz, ?Ein Depth from Focus-Verfahren zur On Line-Bestimmung der Zell-kon-zentration bei Fermentationsprozessen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1995.

H.  Haußecker, Shear, R., Melville, W. K., and Jähne, B., ?Horizontal and vertical spatial structures of turbulence beneath short wind waves?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 384.

T.  Scholz, Jähne, B., Suhr, H., Wehnert, G., Geissler, P., and Schneider, K., ?In situ determination of cell concentration in bioreactors with a new depth from focus technique?, in Computer Analysis of Images and Patterns, 1995, vol. 970, p. 392--399.

H.  Suhr, Wehnert, G., Schneider, K., Bittner, C., Scholz, T., Geißler, P., Jähne, B., and Scheper, T., ?In-situ microscopy for on-line characterization of cell-populations in bioreactors, including concentration measurements by depth from focus?, Biotechnology and Bioengineering, vol. 47, p. 106--116, 1995.

C.  Schnörr and Peckar, W., ?Motion-Based Identification of Deformable Templates?, in Proc. 6th Int. Conf. on Computer Analysis of Images and Patterns (CAIP '95), Prague, Czech Republic, 1995, vol. 970, pp. 122-129.

T.  Scheuermann, Pfundt, G., Eyerer, P., and Jähne, B., ?Oberflächenkonturvermessung mikroskopischer Objekte durch Projektion statistischer Rauschmuster?, in Proc. 17. DAGM-Symposium Mustererkennung, Bielefeld, 13.-15. September 1995, 1995, p. 319--326.

B.  Jähne, Massen, R., Nickolay, B., and Scharfenberg, H., Technische Bildverarbeitung - Maschinelles Sehen. Springer, 1995.

D.  Schmund, ?Voruntersuchung der Einsatzmöglichkeiten digitaler Bildverarbeitung zur Analyse von Transportvorgängen und Wachstumsprozessen in Pflanzen?, University of Heidelberg, 1995.

C.  Schnörr, ?Bewegungssegmentation von Bildfolgen durch die Minimierung konvexer nicht-quadratischer Funktionale?, in Mustererkennung 1994, 1994, vol. 5, pp. 178?185.

J.  Heikkonen, Koikkalainen, P., and Schnörr, C., ?Building Trajectories via Selforganization from Spatiotemporal Features?, in 12th Int. Conf. on Pattern Recognition, Jerusalem, Israel, 1994.

R.  Sprengel, Schnörr, C., and Neumann, B., ?Detection of Visual Data Transitions in Nonlinear Parameter Space?, in Mustererkennung 1994, 1994, vol. 5, pp. 315?323.

T.  Scholz, Jähne, B., Suhr, H., Wehnert, G., Geißler, P., and Schneider, K., ?A new depth from focus technique for in situ determination of cell concentration in bioreactors?, in Proc. 16. DAGM-Symposium Mustererkennung, 1994, p. 145--150.

C.  Schnörr and Sprengel, R., ?A Nonlinear Regularization Approach to Early Vision?, Biol. Cybernetics, vol. 72, pp. 141?149, 1994.

C.  Schnörr, ?Segmentation of Visual Motion by Minimizing Convex Non-Quadratic Functionals?, in 12th Int. Conf. on Pattern Recognition, Jerusalem, Israel, 1994.

C.  Schnörr, ?Unique Reconstruction of Piecewise Smooth Images by Minimizing Strictly Convex Non-Quadratic Functionals?, vol. 4, pp. 189?198, 1994.

C.  Schnörr, Niemann, H., and Kopecz, J., ?Architekturkonzepte zur Bildauswertung?, in Grundlagen und Anwendungen der Künstlichen Intelligenz, 17. Fachtagung für Künstliche Intelligenz, Berlin, 1993, pp. 268?274.

K.  Rohr and Schnörr, C., ?An Efficient Approach to the Identification of Characteristic Intensity Variations?, vol. 11, pp. 273?277, 1993.

C.  Schnörr, ?On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow?, pami, vol. 15, pp. 1074?1079, 1993.

B.  Jähne, Klinke, J., Geißler, P., and Hering, F., ?Image sequence analysis of ocean wind waves?, in Imaging in Transport Processes, 1993, p. 257--268.

B.  Jähne, ?Imaging of gas transfer across gas/liquid interfaces?, in Imaging in Transport Processes, 1993, p. 247--256.

R.  Sprengel and Schnörr, C., ?Nichtlineare Diffusion zur Integration visueller Daten - Anwendung auf Kernspintomogramme?, in Mustererkennung 1993, 15. DAGM-Symposium, 1993, pp. 134?141.

D.  Wierzimok and Hering, F., ?Quantitative imaging of transport in fluids with digital particle tracking velocimetry?, in Imaging in Transport Processes, 1993, p. 297--308.

B.  Jähne, Waas, S., and Klinke, J., ?Shape from shading techniques for short ocean wind waves?, in Imaging in Transport Processes, 1993, p. 269--281.

M.  Schaum, ?Subpixelgenaue Positionsbestimmungen in digitalen Bildern?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1993, p. 749--754.

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.

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.

C.  Schnörr and Neumann, B., ?Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen?, in Mustererkennung 1992, 14. DAGM-Symposium, Dresden, 1992, pp. 411?416.

P.  Snoeij, van Halsema, D., Oost, W. A., Calkoen, C. J., Jähne, B., and Vogelzang, J., ?Microwave backscatter measurements made from the Dutch Ocean Research Tower 'Noordwijk' compared with model predictions?, in Proc. IGARSS'92, 1992.

K.  Riemer, Scholz, T., and Jähne, B., ?Bildfolgenanalyse im Orts-Wellenzahl-Raum?, in Proc. 13. DAGM-Symposium zur Mustererkennung 1991, München, 1991.

T.  Scholz, ?Bildfolgenanalyse von Wasseroberflächenwellen auf dem Transputer?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1991.

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, ?Determining Optical Flow for Irregular Domains by Minimizing Quadratic Functionals of a Certain Class?, ijcv, vol. 6, pp. 25?38, 1991.

D.  van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., Vogelzang, J., and Jähne, B., ?Dual-polarized scatterometer measurements of wind and mechanically generated waves in a very large wind/wave flume, the VIERS-1 project?, in Proc.\ 5th Int. Coll. Physical Measurements and Signatures in Remote Sensing, Courchevel, France, 1991, vol. ESA SP-319, p. 247--252.

B.  Jähne and Jähne, B., ?Evaluation of a two-scale model using extensive radar backscatter and wave measurements in a large wind-wave flume?, in Proceedings IGARSS '91, 1991, vol. 2, p. 885--888.

C.  Schnörr, ?Funktionalanalytische Methoden zur Bestimmung von Bewegungsinformation aus TV-Bildfolgen?. Fakultät für Informatik, Universität Karlsruhe (TH), 1991.

D.  van Halsema, Snoeij, P., Calkoen, C. J., Oost, W. A., Vogelzang, J., and Jähne, B., ?Modulation of the microwave backscatter by long gravity waves as measured in a very large wind/wave flume?, in Proc. IGARSS '91, 1991, vol. 3, p. 1293--1296.

D.  Bister, Rohr, K., and Schnörr, C., ?Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Grauwertbildfolge?, in Mustererkennung 1990, 12. DAGM-Symposium, Oberkochen-Aalen, 1990, vol. 254, pp. 44?51.

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.

P.  Snoeij, Calkoen, C. J., Oost, W. A., van Halsema, D., Vogelzang, J., and Jähne, B., ?Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank?, in Proc. IGARSS'90, 1990, p. 2157--2160.

P.  Snoeij, Vogelzang, J., Calkoen, C. J., Oost, W. A., van Halsema, D., and Jähne, B., ?A high resolution scatterometer for radar backscatter measurements of wind generated waves in wind/wave tanks?, in European Micro Wave Conference 1990, 1990.

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.

D.  Halsema, Jähne, B., Calkoen, C. J., and Snoeij, P., ?First results of the VIERS-1 experiment?, in Radar Scattering from Modulated Wind Waves, W. A.  Oost, Komen, G. J., and Oost, W. A., Eds. Kluwer Academic Publishers, 1989, p. 49--57.

C.  Schnörr, ?Zur Schätzung von Geschwindigkeitsvektorfeldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung?, in Mustererkennung 1989, 11. DAGM-Symposium, Hamburg, 1989, vol. 219, pp. 294?301.

M.  Schoder, ?Messung der Transfergeschwindigkeit des Gasaustausches durch Blasenoberflächen?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1984.

B.  Jähne and Siegenthaler, U., ?The influence of surface tension on gas exchange: measurements of gas exchange with alcohol/water mixtures in a circular wind-water tunnel?, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 103--108, 1980.

B.  Jähne, Münnich, K. O., and Siegenthaler, U., ?Measurements of gas exchange and momentum transfer in a circular wind-water tunnel?, Tellus, vol. 31, p. 321--329, 1979.