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 Zisler, M, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2016). Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints. Proc. GCPR\par \par  Berger, J and Schn\'f6rr, C (2016). Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. 38th German Conference on Pattern Recognition. Springer, Hannover. https://arxiv.org/abs/1606.02092\par \par  Berger, J and Schn\'f6rr, C (2016). Joint Recursive Monocular Filtering of Camera Motion and Disparity Map. 38th German Conference on Pattern Recognition\par \par  Kappes, J Hendrik, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2016). Multicuts and Perturb & MAP for Probabilistic Graph Clustering. Journal of Mathematical Imaging and Vision. 56 221?237. http://arxiv.org/abs/1601.02088\par \par  Zisler, M, Kappes, J H, Schn\'f6rr, C, Petra, S and Schn\'f6rr, C (2016). Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Comp. Imaging. 2 335-347\par \par  Swoboda, P, Shekhovtsov, A, Kappes, J Hendrik, Schn\'f6rr, C and Savchynskyy, B (2016). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE Computer Society. 38 1370?1382\par \par  Bodnariuc, E, Schiffner, M F, Petra, S and Schn\'f6rr, C (2016). Plane Wave Acoustic Superposition for Fast Ultrasound Imaging. International Ultrasonics Symposium\par \par  Biesdorf, A, W\'f6rz, S, von Tengg-Kobligk, H, Rohr, K and Schn\'f6rr, C (2015). 3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization. Proc.~ISBI\par \par  Bodnariuc, E, Gurung, A, Petra, S and Schn\'f6rr, C (2015). Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV. Proc.~EMMCVPR. Springer. 8932 378--391\par \par  Bodnariuc, E, Gurung, A, Petra, S and Schn\'f6rr, C (2015). Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV. EMMCVPR\par \par  Gianniotis, N, Schn\'f6rr, C, Molkenthin, C and Bora, S S (2015). Approximate variational inference based on a finite sample of Gaussian latent variables. Patt.~Anal.~Appl\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int.~J.~Comp.~Vision\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 1-30\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155?184\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155?184\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155?184. http://hci.iwr.uni-heidelberg.de/opengm2/\par \par  Rathke, F and Schn\'f6rr, C (2015). A Computational Approach to Log-Concave Density Estimation. An. St. Univ. Ovidius Constanta. 23 151-166\par \par  Rathke, F and Schn\'f6rr, C (2015). A Computational Approach to Log-Concave Density Estimation. An. St. Univ. Ovidius Constanta. 23 151-166\par \par  Silvestri, F, Reinelt, G and Schn\'f6rr, C (2015). A Convex Relaxation Approach to the Affine Subspace Clustering Problem. Proc.~GCPR\par \par  Neufeld, A, Berger, J, Becker, F, Lenzen, F and Schn\'f6rr, C (2015). Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework. 37th German Conference on Pattern Recognition\par \par  Schmitzer, B and Schn\'f6rr, C (2015). Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes. J.~Math.~Imag.~Vision. 52 436--458. http://link.springer.com/article/10.1007/s10851-014-0546-8\par \par  Kappes, J H, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2015). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc.~SSVM. Springer\par \par  Kappes, J Hendrik, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2015). Probabilistic correlation clustering and image partitioning using perturbed Multicuts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9087 231?242\par \par  Berger, J, Neufeld, A, Becker, F, Lenzen, F and Schn\'f6rr, C (2015). Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations. Scale Space and Variational Methods in Computer Vision (SSVM 2015). Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-18461-6_32\par \par  Berger, J, Neufeld, A, Becker, F, Lenzen, F and Schn\'f6rr, C (2015). Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations. Scale Space and Variational Methods in Computer Vision (SSVM 2015)\par \par  Berger, J, Lenzen, F, Becker, F, Neufeld, A and Schn\'f6rr, C (2015). Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations. http://arxiv.org/abs/1507.06810\par \par  Berger, J, Lenzen, F, Becker, F, Neufeld, A and Schn\'f6rr, C (2015). Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations. http://arxiv.org/abs/1507.06810\par \par  Kappes, J H, Petra, S, Schn\'f6rr, C and Zisler, M (2015). TomoGC: Binary Tomography by Constrained Graph Cuts. Proc.~GCPR\par \par  Petra, S and Schn\'f6rr, C (2014). Average Case Recovery Analysis of Tomographic Compressive Sensing. Linear Algebra and its Applications. 441 168-198\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2014). A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems. CoRR. http://arxiv.org/abs/1404.0533\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2014). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR. abs/1404.0533. http://hci.iwr.uni-heidelberg.de/opengm2/\par \par  Denitiu, A, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2014). An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography. Discrete Geometry for Computer Imagery (DGCI) 2014. Springer. 262--274\par \par  Denitiu, A, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2014). An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography. Discrete Geometry for Computer Imagery (DGCI) 2014. Springer. 262?274\par \par  Schmitzer, B and Schn\'f6rr, C (2014). Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes\par \par  Schmitzer, B and Schn\'f6rr, C (2014). Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes\par \par  Kappes, J H, Beier, T and Schn\'f6rr, C (2014). MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. Computer Vision - \{ECCV\} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part \{II\}. http://dx.doi.org/10.1007/978-3-319-16181-5_37\par \par  Kappes, J Hendrik, Beier, T and Schn\'f6rr, C (2014). MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves. International Workshop on Graphical Models in Computer Vision\par \par  Becker, F, Petra, S and Schn\'f6rr, C (2014). Optical Flow. Handbook of Mathematical Methods in Imaging. Springer\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General GraphicalModels. CVPR. Proceedings. 1170-1177\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014\par \par  Denitiu, A, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73--102\par \par  Denitiu, A, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73?102\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Med. Image Anal. 18 781?794\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Medical Image Analysis. 18 781-794\par \par  Lenzen, F, Lellmann, J, Becker, F and Schn\'f6rr, C (2014). Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets. SIAM J.~Imag.~Sci. 7 2139--2174\par \par  Lenzen, F, Lellmann, J, Becker, F and Schn\'f6rr, C (2014). Solving QVIs for Image Restoration with Adaptive Constraint Sets. SIAM Journal on Imaging Sciences (SIIMS), in press\par \par  Petra, S, Schn\'f6rr, C, Becker, F and Lenzen, F (2013). B-SMART: Bregman-Based First-Order Algorithms for Non-NegativeCompressed Sensing Problems. Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM. 110-124\par \par  Petra, S, Schn\'f6rr, C, Becker, F and Lenzen, F (2013). B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems. Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013. Springer. 7893 110-124\par \par  Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schn\'f6rr, C (2013). A Class of Quasi-Variational Inequalities for Adaptive Image Denoisingand Decomposition. Computational Optimization and Applications (COAP). 54 (2) 371-398\par \par  Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schn\'f6rr, C (2013). A class of quasi-variational inequalities for adaptive image denoising and decomposition. Computational Optimization and Applications. Springer Netherlands. 54 371-398. http://dx.doi.org/10.1007/s10589-012-9456-0\par \par  Breitenreicher, D, Lellmann, J and Schn\'f6rr, C (2013). COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis. Optimization Methods and Software. 28 1081-1094. http://www.tandfonline.com/doi/abs/10.1080/10556788.2012.672571\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Lellmann, J, Komodakis, N and Rother, C (2013). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem. CVPR\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Sungwoong, K, Kausler, B X, Lellmann, J, Komodakis, N and Rother, C (2013). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013. Proceedings\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Contour Manifolds and Optimal Transport\par \par  Swoboda, P and Schn\'f6rr, C (2013). Convex Variational Image Restoration with Histogram Priors. SIAM J.~Imag.~Sci. 6 1719-1735\par \par  Petra, S, Schn\'f6rr, C and Schr\'f6der, A (2013). Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics. Fundamenta Informaticae. 125 285--312\par \par  Lellmann, J, Lellmann, B, Widmann, F and Schn\'f6rr, C (2013). Discrete and Continuous Models for Partitioning Problems. Int.~J.~Comp.~Visionz. 104 241-269\par \par  Savchynskyy, B, Kappes, J H, Swoboda, P and Schn\'f6rr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Areawith Convex Relaxation. NIPS. Proceedings. 1950-1958\par \par  Savchynskyy, B, Kappes, J H, Swoboda, P and Schn\'f6rr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS\par \par  Savchynskyy, B, Kappes, J Hendrik, Swoboda, P and Schn\'f6rr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS\par \par  Schmitzer, B and Schn\'f6rr, C (2013). A Hierarchical Approach to Optimal Transport. Scale Space and Variational Methods (SSVM 2013). 452-464\par \par  Kappes, J H, Speth, M, Reinelt, G and Schn\'f6rr, C (2013). Higher-order Segmentation via Multicuts. ArXiv e-prints\par \par  Kappes, J Hendrik, Speth, M, Reinelt, G and Schn\'f6rr, C (2013). Higher-order Segmentation via Multicuts. ArXiv e-prints\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Modelling convex shape priors and matching based on the Gromov-Wasserstein distance. Journal of Mathematical Imaging and Vision. 46 143-159\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Modelling convex shape priors and matching based on the Gromov-Wasserstein distance. Journal of Mathematical Imaging and Vision. 46 143-159\par \par  Schmitzer, B and Schn\'f6rr, C (2013). Object Segmentation by Shape Matching with Wasserstein Modes. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013). 123-136\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2013). Optimality Bounds for a Variational Relaxation of the Image PartitioningProblem. Journal of Mathematical Imaging and Vision. 47 (3) 239-257\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM. 477-488\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Persistency by Pruning for General Graphical Models. submitted to NIPS 2013\par \par  Kappes, J H, Speth, M, Reinelt, G and Schn\'f6rr, C (2013). Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR\par \par  Kappes, J H, Speth, M, Reinelt, G and Schn\'f6rr, C (2013). Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR\par \par  Swoboda, P and Schn\'f6rr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321--334\par \par  Swoboda, P and Schn\'f6rr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321?334\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. 105 (3) 269-297\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269--297. http://dx.doi.org/10.1007/s11263-013-0639-7\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269?297. http://dx.doi.org/10.1007/s11263-013-0639-7\par \par  Kappes, J H, Savchynskyy, B and Schn\'f6rr, C (2012). A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation. CVPR. Proceedings. 1688-1695\par \par  Kappes, J H, Savchynskyy, B and Schn\'f6rr, C (2012). A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation. CVPR\par \par  Savchynskyy, B, Schmidt, S, Kappes, J H and Schn\'f6rr, C (2012). Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI. Proceedings. 746-755\par \par  Savchynskyy, B, Schmidt, S, Kappes, J H and Schn\'f6rr, C (2012). Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI 2012\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2012). Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. Journal of Mathematical Imaging and Vision. Springer. 47 239-257\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2012). Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. Journal of Mathematical Imaging and Vision. Springer. 47 239-257\par \par  Becker, F, Wieneke, B, Petra, S, Schr\'f6der, A and Schn\'f6rr, C (2012). Variational Adaptive Correlation Method for Flow Estimation. IEEE Transactions on Image Processing. 21 3053 -- 3065\par \par  Becker, F, Wieneke, B, Petra, S, Schr\'f6der, A and Schn\'f6rr, C (2012). Variational Adaptive Correlation Method for Flow Estimation. IEEE Transactions on Image Processing. 21 3053 ? 3065\par \par  Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schn\'f6rr, C (2012). Variational Image Denoising with Adaptive Constraint Sets. LNCS. Springer. 206-217\par \par  Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schn\'f6rr, C (2012). Variational Image Denoising with Adaptive Constraint Sets. Proceedings of the 3rd International Conference on Scale Space and Variational Methods in Computer Vision 2011. Springer. 206-217\par \par  Schmitzer, B and Schn\'f6rr, C (2012). Weakly Convex Coupling Continuous Cuts and Shape Priors. Scale Space and Variational Methods (SSVM 2011). 423-434\par \par  Lellmann, J and Schn\'f6rr, C (2011). Continuous Multiclass Labeling Approaches and Algorithms. SIAM J.~Imag.~Sci. 4 1049-1096\par \par  Schmidt, S, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2011). Evaluation of a First-Order Primal-Dual Algorithm for MRF EnergyMinimization. EMMCVPR 2011. Springer. 6819 89-103\par \par  Schmidt, S, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2011). Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR. Springer. 6819 89-103\par \par  Schmidt, S, Savchynskyy, B, Kappes, J Hendrik and Schn\'f6rr, C (2011). Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR. Springer. 6819 89-103\par \par  Nicola, A, Petra, S, Popa, C and Schn\'f6rr, C (2011). A general extending and constraining procedure for linear iterative methods. Int.~J.~Comp.~Math. http://dx.doi.org/10.1080/00207160.2011.634002\par \par  Kappes, J H, Speth, M, Andres, B, Reinelt, G and Schn\'f6rr, C (2011). Globally Optimal Image Partitioning by Multicuts. EMMCVPR. Springer\par \par  Kappes, J H, Speth, M, Andres, B, Reinelt, G and Schn\'f6rr, C (2011). Globally Optimal Image Partitioning by Multicuts. EMMCVPR. Springer. 31-44\par \par  Kappes, J Hendrik, Speth, M, Andres, B, Reinelt, G and Schn\'f6rr, C (2011). Globally Optimal Image Partitioning by Multicuts. EMMCVPR. Springer\par \par  Breitenreicher, D and Schn\'f6rr, C (2011). Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data. Int.~J.~Comp.~Vision. 92 32--52. http://www.springerlink.com/content/v266873267180602/\par \par  Breitenreicher, D and Schn\'f6rr, C (2011). Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data. Int. J. Comp. Vision. 92 32?52. http://www.springerlink.com/content/v266873267180602/\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2011). Optimality Bounds for a Variational Relaxation of the Image PartitioningProblem. Energy Min. Meth. Comp. Vis. Patt. Recogn. Springer. 132-146\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2011). Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. Energy Min. Meth. Comp. Vis. Patt. Recogn. Springer. 6819 132--146\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2011). Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. Energy Min. Meth. Comp. Vis. Patt. Recogn. Springer. 6819 132?146\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2011). Optimality Bounds For A Variational Relaxation Of The Image Partitioning Problem. IPA group, Heidelberg University. http://arxiv.org/abs/1112.0974\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2011). Order Preserving and Shape Prior Constrained Intra-Retinal LayerSegmentation in Optical Coherence Tomography. MICCAI 2011, Proceedings. Springer. 6893 370-377\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2011). Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography. MICCAI. Springer. 6893 370--377\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2011). Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography. Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011). Springer. 6893 370?377\par \par  Rathke, F, Schmidt, S and Schn\'f6rr, C (2011). Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography. MICCAI. Springer. 6893 370?377\par \par  Breitenreicher, D, Lellmann, J and Schn\'f6rr, C (2011). Sparse Template-Based Variational Image Segmentation. Advances in Adaptive Data Analysis. 3 149-166\par \par  Breitenreicher, D, Lellmann, J and Schn\'f6rr, C (2011). Sparse Template-Based Variational Image Segmentation. Advances in Adaptive Data Analysis. 3 149-166\par \par  Savchynskyy, B, Kappes, J H, Schmidt, S and Schn\'f6rr, C (2011). 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. 1817 - 1823\par \par  Savchynskyy, B, Kappes, J H, Schmidt, S and Schn\'f6rr, C (2011). A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)\par \par  Becker, F, Wieneke, B, Petra, S, Schr\'f6der, A and Schn\'f6rr, C (2011). Variational Adaptive Correlation Method for Flow Estimation. IEEE Transactions on Image Processing. 21, 6 3053 - 3065\par \par  Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schn\'f6rr, C (2011). Variational Image Denoising with Adaptive Constraint Sets. Proceedings of the 3nd International Conference on Scale Space andVariational Methods in Computer Vision 2011, in press. Springer. 6667 206-217\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure andCamera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision ICCV. 1692-1699\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision (ICCV). 1692 -- 1699\par \par  Becker, F, Lenzen, F, Kappes, J H and Schn\'f6rr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision (ICCV). 1692 ? 1699\par \par  Andres, B, Kappes, J H, K\'f6the, U, Schn\'f6rr, C and Hamprecht, F A (2010). An Empirical Comparison of Inference Algorithms for Graphical Modelswith Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium. 353-362\par \par  Andres, B, Kappes, J H, K\'f6the, U, Schn\'f6rr, C and Hamprecht, F A (2010). An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium\par \par  Lellmann, J, Breitenreicher, D and Schn\'f6rr, C (2010). Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision. European Conference on Computer Vision (ECCV). Springer Berlin / Heidelberg. 6312 494--505\par \par  Kappes, J H, Schmidt, S and Schn\'f6rr, C (2010). MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. European Conference on Computer Vision (ECCV). Springer. 6313 735--747\par \par  Kappes, J H, Schmidt, S and Schn\'f6rr, C (2010). MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. European Conference on Computer Vision (ECCV). Springer Berlin / Heidelberg. 6313 735--747\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2010). Optimality Bounds for Variational Relaxations of Optimal PartitionProblems\par \par  Vlasenko, A and Schn\'f6rr, C (2010). Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans.~Image Proc. 19 586-595\par \par  Breitenreicher, D and Schn\'f6rr, C (2010). Robust 3D object registration without explicit correspondence using geometric integration. Machine Vision and Applications. 21 601-611. http://www.springerlink.com/content/g20710062l014241/\par \par  Breitenreicher, D and Schn\'f6rr, C (2010). Robust 3D object registration without explicit correspondence using geometric integration. Machine Vision and Applications. 21 601-611. http://www.springerlink.com/content/g20710062l014241/\par \par  Bergtholdt, M, Kappes, J H, Schmidt, S and Schn\'f6rr, C (2010). A Study of Parts-Based Object Class Detection Using Complete Graphs. Int.~J.~Comp.~Vision. 87 93-117. http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s11263-009-0209-1\par \par  Bergtholdt, M, Kappes, J H, Schmidt, S and Schn\'f6rr, C (2010). A Study of Parts-Based Object Class Detection Using Complete Graphs. Int. J. Comp. Vision. 87 93-117. http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s11263-009-0209-1\par \par  Heitz, D, M\'e9min, E and Schn\'f6rr, C (2010). Variational fluid flow measurements from image sequences: synopsis and perspectives. Exp.~Fluids. 48 369-393\par \par  Petra, S, Schr\'f6der, A and Schn\'f6rr, C (2009). 3D Tomography from Few Projections in Experimental Fluid Mechanics. Imaging Measurement Methods for Flow Analysis. Springer. 106 63-72\par \par  Petra, S, Popa, C and Schn\'f6rr, C (2009). Accelerating Constrained Sirt With Applications In Tomographic Particle Image Reconstruction. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9477\par \par  Yuan, J, Schn\'f6rr, C and Steidl, G (2009). Convex Hodge Decomposition and Regularization of Image Flows. J.~Math.~Imag.~Vision. 33 169-177\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F, Schn\'f6rr, C, M\'f3rken, K and Lysaker, M (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162\par \par  Lellmann, J, Becker, F and Schn\'f6rr, C (2009). Convex Optimization for Multi-Class Image Labeling with a Novel Familyof Total Variation Based Regularizers. Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan. 646-653\par \par  Lellmann, J, Becker, F and Schn\'f6rr, C (2009). Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers. IEEE International Conference on Computer Vision (ICCV). 646 -- 653\par \par  Nicola, A, Petra, S, Popa, C and Schn\'f6rr, C (2009). On A General Extending And Constraining Procedure For Linear Iterative Methods. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9761\par \par  Breitenreicher, D and Schn\'f6rr, C (2009). Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009). Springer. 5681 274-287. http://www.springerlink.com/content/1470n7577713069q/\par \par  Breitenreicher, D and Schn\'f6rr, C (2009). Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009). Springer. 5681 274-287. http://www.springerlink.com/content/1470n7577713069q/\par \par  Lauer, F and Schn\'f6rr, C (2009). Spectral Clustering of Linear Subspaces for Motion Segmentation. Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, in press. 678-685\par \par  Lauer, F and Schn\'f6rr, C (2009). Spectral Clustering of Linear Subspaces for Motion Segmentation. Proc.~IEEE Int.~Conf.~Computer Vision (ICCV'09)\par \par  Petra, S and Schn\'f6rr, C (2009). Tomopiv Meets Compressed Sensing. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9760\par \par  Petra, S and Schn\'f6rr, C (2009). TomoPIV meets Compressed Sensing. Pure Math.~Appl. 20 49 -- 76. http://www.mat.unisi.it/newsito/puma/public_html/contents.php\par \par  Yuan, J, Schn\'f6rr, C and Steidl, G (2009). Total-Variation Based Piecewise Affine Regularization. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 552-564\par \par  Yuan, J, Schn\'f6rr, C and Steidl, G (2009). Total-Variation Based Piecewise Affine Regularization. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 552-564\par \par  Vlasenko, A and Schn\'f6rr, C (2009). Variational Approaches for Model-Based PIV and Visual Fluid Analysis. Imaging Measurement Methods for Flow Analysis. Springer. 106 247-256\par \par  Fundana, K, Heyden, A, Gosch, C and Schn\'f6rr, C (2008). Continuous Graph Cuts for Prior-Based Object Segmentation. 19th Int.~Conf.~Patt.~Recog.~(ICPR). 1--4\par \par  Yuan, J, Steidl, G and Schn\'f6rr, C (2008). Convex Hodge Decomposition of Image Flows. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 416--425\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (2008). Convex Multi-Class Image Labeling By Simplex-Constrained Total Variation. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8759/\par \par  Becker, F and Schn\'f6rr, C (2008). Decomposition of Quadratric Variational Problems. Pattern Recognition -- 30th DAGM Symposium. 5096 325--334\par \par  Becker, F and Schn\'f6rr, C (2008). Decomposition of Quadratric Variational Problems. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 325--334\par \par  Petra, S, Popa, C and Schn\'f6rr, C (2008). Extended And Constrained Cimmino-Type Algorithms With Applications In Tomographic Image Reconstruction. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8798/\par \par  Petra, S, Popa, C and Schn\'f6rr, C (2008). Extended And Constrained Cimmino-Type Algorithms With Applications In Tomographic Image Reconstruction. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8798/\par \par  Kappes, J H and Schn\'f6rr, C (2008). MAP-Inference for Highly-Connected Graphs with DC-Programming. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 1--10\par \par  Vlasenko, A and Schn\'f6rr, C (2008). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 406--415\par \par  Petra, S, Schr\'f6der, A, Wieneke, B and Schn\'f6rr, C (2008). On Sparsity Maximization in Tomographic Particle Image Reconstruction. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 294--303\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). A Variational Approach to Adaptive Correlation for Motion Estimationin Particle Image Velocimetry". Pattern Recognition -- 30th DAGM Symposium. 5096 335-344\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 335--344\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry. Pattern Recognition ? 30th DAGM Symposium. Springer Verlag. 5096 335?344\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). Variational Correlation Approach to Flow Measurement with WindowAdaption. 14th International Symposium on Applications of Laser Techniquesto Fluid Mechanics. 1.1.8\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). Variational Correlation Approach to Flow Measurement with Window Adaption. 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics. 1.1.3\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). Variational Correlation Approach to Flow Measurement with Window Adaption. 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics. 1.1.3\par \par  Gosch, C, Fundana, K, Heyden, A and Schn\'f6rr, C (2008). View Point Tracking of Rigid Object Based on Shape Sub-Manifolds. Computer Vision -- ECCV 2008. Springer. 5302 251--263\par \par  Gosch, C, Fundana, K, Heyden, A and Schn\'f6rr, C (2008). View Point Tracking of Rigid Object Based on Shape Sub-Manifolds. Computer Vision ? ECCV 2008. Springer. 5302 251?263\par \par  Kondermann, C, Kondermann, D, J\'e4hne, B, Garbe, C S, Schn\'f6rr, C and J\'e4hne, B (2007). An adaptive confidence measure for optical flows based on linear subspace projections. Proceedings of the 29th DAGM Symposium on Pattern Recognition. Springer. 4713 132--141\par \par  Yuan, J, Schn\'f6rr, C and M\'e9min, E (2007). Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J.~Math.~Imag.~Vision. 28 67-80\par \par  Schellewald, C, Roth, S and Schn\'f6rr, C (2007). Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vision Comp. 25 1301--1314\par \par  Garbe, C S, Schn\'f6rr, C and J\'e4hne, B (2007). Fluid flow estimation through integration of physical flow configurations. Proceedings of the 29th DAGM Symposium on Pattern Recognition. Springer. 92--101\par \par  Karim, R, Bergtholdt, M, Kappes, J H and Schn\'f6rr, C (2007). Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. Pattern Recognition -- 29th DAGM Symposium. Springer. 4713 395-404\par \par  Gall, J, Potthoff, J, Schn\'f6rr, C, Rosenhahn, B and Seidel, H - P (2007). Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J.~Math.~Imag.~Vision. 28 1--18\par \par  Gall, J, Potthoff, J, Schn\'f6rr, C, Rosenhahn, B and Seidel, H - P (2007). Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J. Math. Imag. Vision. 28 1?18\par \par  Welk, M, Weickert, J, Becker, F, Schn\'f6rr, C, Feddern, C and Burgeth, B (2007). Median and related local filters for tensor-valued images. Signal Processing. 87 291-308\par \par  Ruhnau, P and Schn\'f6rr, C (2007). Optical Stokes Flow Estimation: An Imaging-Based Control Approach. Exp.~in Fluids. 42 61--78\par \par  (2007). Pattern Recognition ? 29th DAGM Symposium. LCNS. Springer. 4713\par \par  Schn\'f6rr, C and J\'e4hne, B (2007). Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14. Springer. 4713\par \par  (2007). Pattern Recognition, 29Th Dagm Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings. Springer\par \par  Andres, B, Garbe, C S, Schn\'f6rr, C and J\'e4hne, B (2007). Selection of local optical flow models by means of residual analysis. Proceedings of the 29th DAGM Symposium on Pattern Recognition. Springer. 72--81\par \par  Andres, B, Hamprecht, F A and Garbe, C S (2007). Selection of Local Optical Flow Models by Means of Residual Analysis. Pattern Recognition. Springer. 4713 72-81\par \par  G\'f6rlitz, L, Menze, B H, Weber, M - A and Kelm, B Michael (2007). Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields. Pattern Recognition. Springer. 4713 224-233\par \par  Schn\'f6rr,  (2007). Signal and Image Approximation with Level-Set Constraints. Computing. 81 137-160\par \par  Yuan, J, Schn\'f6rr, C and Steidl, G (2007). Simultaneous Optical Flow Estimation and Decomposition. SIAM J.~Scientific Computing. 29 2283-2304\par \par  Schmidt, S, Kappes, J H, Bergtholdt, M, Pekar, V, Dries, S, Bystrov, D and Schn\'f6rr, C (2007). Spine Detection and Labeling Using a Parts-Based Graphical Model. Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007). Springer. 4584 122-133\par \par  Ruhnau, P, Stahl, A and Schn\'f6rr, C (2007). Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization. Measurement Science and Technology. 18 755-763\par \par  Weber, S, Nagy, A, Sch\'fcle, T, Schn\'f6rr, C and Kuba, A (2006). A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography. Discrete Geometry for Computer Imagery (DGCI 2006). Springer. 4245 146-156\par \par  Weber, S, Sch\'fcle, T, Schn\'f6rr, C and Kuba, A (2006). Binary Tomography with Deblurring. Combinatorial Image Analysis. Springer. 4040 375-388\par \par  Heiler, M and Schn\'f6rr, C (2006). Controlling Sparseness in Non-negative Tensor Factorization. Computer Vision -- ECCV 2006. Springer. 3951 56-67\par \par  Stahl, A, Ruhnau, P and Schn\'f6rr, C (2006). A Distributed Parameter Approach to Dynamic Image Motion. ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision. LNCS, Springer\par \par  Bergtholdt, M, Kappes, J H and Schn\'f6rr, C (2006). Learning of Graphical Models and Efficient Inference for Object Class Recognition. Proc. DAGM 2006. Springer. 375-388 375-388\par \par  Bruhn, A, Weickert, J, Kohlberger, T and Schn\'f6rr, C (2006). A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. Int.~J.~Computer Vision. 70 257-277\par \par  Bruhn, A, Weickert, J, Kohlberger, T and Schn\'f6rr, C (2006). A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. Int. J. Computer Vision. 70 257-277\par \par  Cremers, D, Sochen, N and Schn\'f6rr, C (2006). Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ijcv. 66 67-81\par \par  Ruhnau, P, Stahl, A and Schn\'f6rr, C (2006). On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization. Proc.~DAGM 2006. Springer. 375-388 375-388\par \par  Bruhn, A, Weickert, J, Kohlberger, T and Schn\'f6rr, C (2005). Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space 2005. Springer. 3459 279?290\par \par  Bruhn, A, Weickert, J and Schn\'f6rr, C (2005). Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods. 61 211-231\par \par  Welk, M, Becker, F, Schn\'f6rr, C and Weickert, J (2005). Matrix-Valued Filters as Convex Programs. Scale-Space 2005. Springer. 3459 204?216\par \par  Bergtholdt, M and Schn\'f6rr, C (2005). Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. Pattern Recognition, Proc. 27th DAGM Symposium. Springer. 3663 342?350\par \par  Yuan, J, Schn\'f6rr, C, Steidl, G and Becker, F (2005). A Study of Non-Smooth Convex Flow Decomposition. Proc. Variational, Geometric and Level Set Methods in Computer Vision. Springer. 3752 1?12\par \par  Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schn\'f6rr, C (2005). Variational optic flow computation in real-time. IEEE Trans. Image Proc. 14 608?615\par \par  Ruhnau, P, Kohlberger, T, Nobach, H and Schn\'f6rr, C (2005). Variational Optical Flow Estimation for Particle Image Velocimetry. Experiments in Fluids. 38 21--32\par \par  Bergtholdt, M, Cremers, D and Schn\'f6rr, C (2005). Variational Segmentation with Shape Priors. Handbook of Mathematical Models in Computer Vision. Springer. 147-160\par \par  Bruhn, A, Jakob, T, Fischer, M, Weickert, J, Br\'fcning, U and Schn\'f6rr, C (2004). High performance cluster computing with 3-D nonlinear diffusion filters. Real-Time Imaging. 10 41?51\par \par  Cremers, D, Sochen, N and Schn\'f6rr, C (2004). Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. Computer Vision ? ECCV 2004. Springer. 3024 74-86\par \par  Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schn\'f6rr, C (2003). Real-Time Optic Flow Computation with Variational Methods. Proc. Computer Analysis of Images and Patterns (CAIP'03). Springer. 2756 222-229\par \par  Cremers, D, Kohlberger, T and Schn\'f6rr, C (2003). Shape Statistics in Kernel Space for Variational Image Segmentation. Pattern Recognition. 36 1929--1943\par \par  Cremers, D, Kohlberger, T and Schn\'f6rr, C (2003). Shape Statistics in Kernel Space for Variational Image Segmentation. Pattern Recognition. 36 1929?1943\par \par  Cremers, D and Schn\'f6rr, C (2003). Statistical Shape Knowledge in Variational Motion Segmentation. Image and Vision Comp. 21 77-86\par \par  Cremers, D, Sochen, N and Schn\'f6rr, C (2003). Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale Space Methods in Computer Vision. Springer. 2695 388--400\par \par  Cremers, D, Sochen, N and Schn\'f6rr, C (2003). Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale Space Methods in Computer Vision. Springer. 2695 388?400\par \par  Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schn\'f6rr, C (2003). Variational Optic Flow Computation In Real-Time. Dept. Math. and Comp. Science, Saarland University, Germany\par \par  Hinterberger, W, Scherzer, O, Schn\'f6rr, C and Weickert, J (2002). Analysis of Optical Flow Models in the Framework of Calculus of Variations. Numer. Funct. Anal. Optimiz. 23 69?89\par \par  Bruhn, A, Weickert, J and Schn\'f6rr, C (2002). Combining the Advantages of Local and Global Optic Flow Methods. Pattern Recognition, Proc. 24th DAGM Symposium. Springer, Z\'fcrich, Switzerland. 2449 454?462\par \par  Bruhn, A, Jakob, T, Fischer, M, Kohlberger, T, Weickert, J, Br\'fcning, U and Schn\'f6rr, C (2002). Designing 3?D Nonlinear Diffusion Filters for High Performance Cluster Computing. Pattern Recognition, Proc. 24th DAGM Symposium. Springer, Z\'fcrich, Switzerland. 2449 290?297\par \par  Cremers, D, Tischh\'e4user, F, Weickert, J and Schn\'f6rr, C (2002). Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford?Shah functional. Int. J. Computer Vision. 50 295?313\par \par  Cremers, D and Schn\'f6rr, C (2002). Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. Pattern Recognition, Proc. 24th DAGM Symposium. Springer, Z\'fcrich, Switzerland. 2449 472?480\par \par  Cremers, D, Kohlberger, T and Schn\'f6rr, C (2002). Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. Computer Vision -- ECCV 2002). Springer Verlag. 2351 93--108\par \par  Cremers, D, Kohlberger, T and Schn\'f6rr, C (2002). Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. Computer Vision ? ECCV 2002). Springer Verlag. 2351 93?108\par \par  Cremers, D, Schn\'f6rr, C and Weickert, J (2001). Diffusion?Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework. IEEE First Workshop on Variational and Level Set Methods in Computer Vision. IEEE Comp. Soc., Vancouver, Canada. 237?244\par \par  Cremers, D, Kohlberger, T and Schn\'f6rr, C (2001). Nonlinear Shape Statistics via Kernel Spaces. Mustererkennung 2001. Springer. 2191 269--276\par \par  Cremers, D, Kohlberger, T and Schn\'f6rr, C (2001). Nonlinear Shape Statistics via Kernel Spaces. Mustererkennung 2001. Springer, Munich, Germany. 2191 269?276\par \par  Cremers, D, Schn\'f6rr, C, Weickert, J and Schellewald, C (2000). Diffusion Snakes Using Statistical Shape Knowledge. Proc. Algebraic Frames for the Perception-Action Cycle. Springer, Kiel. 1888 164?174\par \par  Cremers, D, Schn\'f6rr, C, Weickert, J and Schellewald, C (2000). Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes. 3rd Workshop on Dynamic Perception. Akad. Verlagsges., Berlin, Germany. 9 117?122\par \par  Fornland, P and Schn\'f6rr, C (1997). Determining the Dominant Plane from Uncalibrated Stereo Vision by a Robust and Convergent Iterative Approach without Correspondence. Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR'97). San Juan, Puerto Rico\par \par  Rohr, K and Schn\'f6rr, C (1993). An Efficient Approach to the Identification of Characteristic Intensity Variations. 11 273?277\par \par }