Computer Vision Group - Cremers

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Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
Books
2011
Stereoscopic Scene Flow for 3D Motion Analysis (A. Wedel, D. Cremers), Springer, 2011. [bib]
Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
Book Chapters
2011
Convex Relaxation Techniques for Segmentation, Stereo and Multiview Reconstruction (D. Cremers, T. Pock, K. Kolev, A. Chambolle), Chapter in Advances in Markov Random Fields for Vision and Image Processing, MIT Press, 2011. [bib] [pdf]
2010
An Introduction to Total Variation for Image Analysis (A. Chambolle, V. Caselles, D. Cremers, M. Novaga, T. Pock), Chapter in Theoretical Foundations and Numerical Methods for Sparse Recovery, De Gruyter, 2010. [bib] [pdf]
2007
Efficient kernel density estimation of shape and intensity priors for level set segmentation (D. Cremers, M. Rousson), Chapter in Parametric and Geometric Deformable Models: An application in Biomaterials and Medical Imagery (J. S. Suri, A. Farag, eds.), Springer, 2007. [bib] [pdf]
Contours, optic flow, and prior knowledge: cues for capturing 3D human motion in videos (T. Brox, B. Rosenhahn, D. Cremers), Chapter in Human Motion - Understanding, Modeling, Capture, and Animation, Springer, 2007. [bib] [pdf]
2006
Integral Invariants and Shape Matching (S. Manay, D. Cremers, B. W. Hong, A. Yezzi, S. Soatto), Chapter in Statistical analysis of shapes (modeling and simulation in science, engineering and technology), Birkhauser, 2006. [bib] [pdf]
Probabilistic kernel PCA and its application to statistical shape modeling and inference (D. Cremers, T. Kohlberger), Chapter in Kernel Methods in Bioengineering, Signal and Image Processing (G. Camps-Valls et al., ed.), Idea Group Inc., 2006. [bib]
2005
Variational segmentation with shape priors (M. Bergtholdt, D. Cremers, C. Schnörr), Chapter in Handbook of Mathematical Models in Computer Vision (Y. Chen O. Faugeras N. Paragios, ed.), Springer, 2005. [bib]
Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
Journal Articles
2012
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images (K. Kolev, T. Brox, D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 34, 2012. [bib] [pdf]
The natural total variation which arises from geometric measure theory (B. Goldluecke, E. Strekalovskiy, D. Cremers), In SIAM Journal on Imaging Sciences, 2012. (to appear) [bib] [pdf]
2011
A Variational Approach to Vesicle Membrane Reconstruction from Fluorescence Imaging (K. Kolev, N. Kirchgessner, S. Houben, A. Csiszar, W. Rubner, C. Palm, B. Eiben, R. Merkel, D. Cremers), In Pattern Recognition, volume 44, 2011. [bib] [pdf]
Motion Field Estimation from Alternate Exposure Images (A. Sellent, M. Eisemann, B. Goldluecke, D. Cremers, M. Magnor), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, 2011. [bib] [pdf]
Stereoscopic Scene Flow Computation for 3D Motion Understanding (A. Wedel, T. Brox, T. Vaudrey, C. Rabe, U. Franke, D. Cremers), In International Journal of Computer Vision, volume 95, 2011. [bib] [pdf]
Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains (D. Cremers, K. Kolev), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, 2011. [bib] [pdf]
2010
A Combinatorial Solution for Model-based Image Segmentation and Real-time Tracking (T. Schoenemann, D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 32, 2010. [bib] [pdf]
Global Solutions of Variational Models with Convex Regularization (T. Pock, D. Cremers, H. Bischof, A. Chambolle), In SIAM Journal on Imaging Sciences, volume 3, 2010. [bib] [pdf]
2009
B-Spline Modeling of Road Surfaces with an Application to Free Space Estimation (A. Wedel, C. Rabe, H. Badino, H. Loose, U. Franke, D. Cremers), In Transactions on Intelligent Transportation Systems, volume 10, 2009. [bib] [pdf]
Continuous Global Optimization in Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox, D. Cremers), In International Journal of Computer Vision, volume 84, 2009. [bib] [pdf]
Combined region- and motion-based 3D tracking of rigid and articulated objects (T. Brox, B. Rosenhahn, J. Gall, D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009. [bib] [pdf]
On local region models and a statistical interpretation of the piecewise smooth Mumford-Shah functional (T. Brox, D. Cremers), In International Journal of Computer Vision, volume 84, 2009. [bib] [pdf]
2008
3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination (H. Jin, D. Cremers, D. Wang, A. Yezzi, E. Prados, S. Soatto), In International Journal of Computer Vision, volume 76, 2008. [bib] [pdf]
Nonlinear Dynamical Shape Priors for Level Set Segmentation (D. Cremers), In Journal of Scientific Computing, volume 35, 2008. [bib] [pdf]
Efficient Nonlocal Means for Denoising of Textural Patterns (T. Brox, O. Kleinschmidt, D. Cremers), In IEEE Transactions on Image Processing, volume 17, 2008. [bib] [pdf]
2007
A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape (D. Cremers, M. Rousson, R. Deriche), In International Journal of Computer Vision, volume 72, 2007. [bib] [pdf]
Computer Lernen Sehen (D. Cremers), In Industrial Vision, volume 2, 2007. [bib] [pdf]
2006
Integral invariants for shape matching (S. Manay, D. Cremers, B.-W. Hong, A. Yezzi, S. Soatto), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 28, 2006. [bib] [pdf]
A multiphase dynamic labeling model for variational recognition-driven image segmentation (D. Cremers, N. Sochen, C. Schnörr), In International Journal of Computer Vision, volume 66, 2006. [bib] [pdf]
Kernel density estimation and intrinsic alignment for shape priors in level set segmentation (D. Cremers, S. J. Osher, S. Soatto), In International Journal of Computer Vision, volume 69, 2006. [bib] [pdf]
Dynamical statistical shape priors for level set based tracking (D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 28, 2006. [bib] [pdf]
2005
Motion Competition: A variational framework for piecewise parametric motion segmentation (D. Cremers, S. Soatto), In International Journal of Computer Vision, volume 62, 2005. [bib] [pdf]
2003
Binary partitioning, perceptual grouping, and restoration with semidefinite programming (J. Keuchel, C. Schnörr, C. Schellewald, D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 25, 2003. [bib] [pdf]
Statistical shape knowledge in variational motion segmentation (D. Cremers, C. Schnörr), In Image and Vision Computing, volume 21, 2003. [bib] [pdf]
Shape Statistics in Kernel Space for Variational Image Segmentation (D. Cremers, T. Kohlberger, C. Schnörr), In Pattern Recognition, volume 36, 2003. [bib] [pdf]Awarded Best Paper of the Year 2003
2002
Diffusion Snakes: Introducing statistical shape knowledge into the Mumford--Shah functional (D. Cremers, F. Tischhäuser, J. Weickert, C. Schnörr), In International Journal of Computer Vision, volume 50, 2002. [bib] [pdf]
Travelling waves of exitation in neural field models: Equivalence of rate descriptions and integrate-and-fire dynamics (D. Cremers, A. V. M. Herz), In Neural Computation, volume 14, 2002. [bib] [pdf]
1999
Flow equations for the Héon-Heiles hamiltonian (D. Cremers, A. Mielke), In Physica D, volume 126, 1999. [bib] [pdf]
Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
Conference and Workshop Papers
2011
Real-Time Visual Odometry from Dense RGB-D Images (F. Steinbruecker, J. Sturm, D. Cremers), In Workshop on Live Dense Reconstruction with Moving Cameras at the Intl. Conf. on Computer Vision (ICCV), 2011. [bib] [pdf]
The Wave Kernel Signature: A Quantum Mechanical Approach To Shape Analysis (M. Aubry, U. Schlickewei, D. Cremers), In IEEE International Conference on Computer Vision (ICCV) - Workshop on Dynamic Shape Capture and Analysis (4DMOD), 2011. [bib] [pdf]
A Convex Framework for Image Segmentation with Moment Constraints (M. Klodt, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. [bib] [pdf]
Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches (C. Nieuwenhuis, E. Toeppe, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2011. [bib] [pdf]
Towards a benchmark for RGB-D SLAM evaluation (J. Sturm, S. Magnenat, N. Engelhard, F. Pomerleau, F. Colas, W. Burgard, D. Cremers, R. Siegwart), In Proc. of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems Conf. (RSS), 2011. [bib] [pdf] [pdf]
Generalized Ordering Constraints for Multilabel Optimization (E. Strekalovskiy, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. [bib] [pdf]
Decoupling Photometry and Geometry in Dense Variational Camera Calibration (M. Aubry, K. Kolev, B. Goldluecke, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. [bib] [pdf]
Tight Convex Relaxations for Vector-Valued Labeling Problems (E. Strekalovskiy, B. Goldluecke, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. [bib] [pdf]
Introducing Total Curvature for Image Processing (B. Goldluecke, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. [bib] [pdf]
Total Variation for Cyclic Structures: Convex Relaxation and Efficient Minimization (E. Strekalovskiy, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [bib] [pdf]
On a linear programming approach to the discrete Willmore boundary value problem and generalizations (T. Schoenemann, S. Masnou, D. Cremers), In Curves and Surfaces 2011 (J.-D. Boissonnat et al., ed.), 2011. [bib] [pdf]
Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor (M. Aubry, U. Schlickewei, D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, 2011. [bib] [pdf]
Large-Scale Integer Linear Programming for Orientation-Preserving 3D Shape Matching (T. Windheuser, U. Schlickewei, Frank R. Schmidt, D. Cremers), In Computer Graphics Forum (Proceedings Symposium Geometry Processing), Eurographics, 2011. [bib] [pdf]
Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution (T. Windheuser, U. Schlickewei, Frank R. Schmidt, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. [bib] [pdf]
2010
Interactive Motion Segmentation (C. Nieuwenhuis, B. Berkels, M. Rumpf, D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, volume 6376, 2010. [bib] [pdf]
Convex Relaxation for Multilabel Problems with Product Label Spaces (B. Goldluecke, D. Cremers), In European Conference on Computer Vision (ECCV), 2010. [bib] [pdf]
An Approach to Vectorial Total Variation based on Geometric Measure Theory (B. Goldluecke, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. [bib] [pdf]
Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera (J. Stuehmer, S. Gumhold, D. Cremers), In ECCV Workshop on Computer Vision on GPUs (CVGPU), 2010. [bib]
Real-Time Dense Geometry from a Handheld Camera (J. Stuehmer, S. Gumhold, D. Cremers), In Pattern Recognition (Proc. DAGM), 2010. [bib] [pdf]
Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo (K. Kolev, T. Pock, D. Cremers), In European Conference on Computer Vision (ECCV), 2010. [bib] [pdf]
Image-based 3D modeling via Cheeger sets (E. Toeppe, M. R. Oswald, D. Cremers, C. Rother), In Asian Conference on Computer Vision, 2010. [bib] [pdf]Received Honorable Mention
Multi-target multi-sensor localization and tracking using passive antenna and optical sensors on UAVs (M. Schikora, D. Bender, W. Koch, D. Cremers), In SPIE Security + Defence, 2010. [bib] [pdf]
Passive Multi-Object Localization and Tracking Using Bearing Data (M. Schikora, D. Bender, D. Cremers, W. Koch), In 13th International Conference on Information Fusion (FUSION), 2010. [bib] [pdf]
Probabilistic Classification of Disease Symptoms caused by Salmonella on Arabidopsis Plants (M. Schikora, A. Schikora, K.-H. Kogel, W. Koch, D. Cremers), In 5th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2010. [bib] [pdf]
2009
Advanced Data Terms for Variational Optic Flow Estimation (F. Steinbruecker, T. Pock, D. Cremers), In Proceedings Vision, Modeling and Visualization (VMV), 2009. [bib] [pdf]
Video Super Resolution using Duality Based TV-L1 Optical Flow (D. Mitzel, T. Pock, T. Schoenemann, D. Cremers), In Pattern Recognition (Proc. DAGM), 2009. [bib] [pdf]
Large Displacement Optical Flow Computation without Warping (F. Steinbruecker, T. Pock, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009. [bib] [pdf]
Beyond Connecting the Dots: A Polynomial-time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input (T. Windheuser, T. Schoenemann, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009. [bib] [pdf]
Curvature Regularity for Region-based Image Segmentation and Inpainting: A Linear Programming Relaxation (T. Schoenemann, F. Kahl, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009. [bib] [pdf]
Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow (A. Wedel, D. Cremers, T. Pock, H. Bischof), In IEEE International Conference on Computer Vision (ICCV), 2009. [bib] [pdf]
An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional (T. Pock, D. Cremers, H. Bischof, A. Chambolle), In IEEE International Conference on Computer Vision (ICCV), 2009. [bib] [pdf]
Variational Optical Flow from Alternate Exposure Images (A. Sellent, M. Eisemann, B. Goldluecke, T. Pock, D. Cremers, M. Magnor), In Proceedings Vision, Modeling and Visualization (VMV), 2009. [bib] [pdf]
Superresolution Texture Maps for Multiview Reconstruction (B. Goldluecke, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009. [bib] [pdf]
A Superresolution Framework for High-Accuracy Multiview Reconstruction (B. Goldluecke, D. Cremers), In Pattern Recognition (Proc. DAGM), 2009. [bib] [pdf]Received DAGM Best Paper Award
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow (A. Wedel, C. Rabe, A. Meissner, U. Franke, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (D. Cremers, Y. Boykov, A. Blake, F. R. Schmidt, eds.), volume 5681, 2009. [bib] [pdf]
Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction (K. Kolev, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. [bib] [pdf]
A Convex Relaxation Approach for Computing Minimal Partitions (T. Pock, A. Chambolle, H. Bischof, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. [bib] [pdf]
Efficient Planar Graph Cuts with Applications in Computer Vision (F. R. Schmidt, E. Toeppe, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. (Note: This version of the paper is modified with respect to the published one: In the published version we had only cited the PhD thesis [2], as the conference paper [3] does not mention Step 13 of Algorithm 2 that restores the important property of T being a rooted tree.) [bib] [pdf]Received a CVPR Doctoral Spotlight Award
A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors (F. R. Schmidt, D. Cremers), In Pattern Recognition (Proc. DAGM), 2009. [bib] [pdf]
Non-Parametric Single View Reconstruction of Curved Objects using Convex Optimization (M. R. Oswald, E. Toeppe, K. Kolev, D. Cremers), In Pattern Recognition (Proc. DAGM), 2009. [bib] [pdf]Received a DAGM Paper Award
2008
Nonlocal texture filtering with efficient tree structures and invariant patch similarity measures (O. Kleinschmidt, T. Brox, D. Cremers), In Int. Workshop on Local and Nonlocal Approximation, 2008. [bib] [pdf]
Modeling and Tracking Line-Constrained Mechanical Systems (B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel), In 2nd Workshop on Robot Vision (G. Sommer, R. Klette, eds.), volume 4931, 2008. [bib] [pdf]
High Resolution Motion Layer Decomposition using Dual-space Graph Cuts (T. Schoenemann, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [bib] [pdf]
Globally Optimal Shape-based Tracking in Real-time (T. Schoenemann, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [bib] [pdf]
Matching Non-rigidly Deformable Shapes Across Images: A Globally Optimal Solution (T. Schoenemann, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [bib] [pdf]
Markerless Motion Capture of Man-Machine Interaction (B. Rosenhahn, C. Schmaltz, T. Brox, J. Weickert, D. Cremers, H.-P. Seidel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [bib] [pdf]
Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions (D. Cremers, F. R. Schmidt, F. Barthel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [bib] [pdf]
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation (W. Trobin, T. Pock, D. Cremers, H. Bischof), In Pattern Recognition (Proc. DAGM), Springer, 2008. [bib] [pdf]
An Improved Algorithm for TV-L1 Optical Flow (A. Wedel, T. Pock, C. Zach, D. Cremers, H. Bischof), In Proc. of the Dagstuhl Motion Workshop, Springer, 2008. [bib] [pdf]
Fast and Exact Solution of Total Variation Models on the GPU (T. Pock, M. Unger, D. Cremers, H. Bischof), In CVPR Workshop on Visual Computer Vision on GPU's, 2008. [bib] [pdf]
An Experimental Comparison of Discrete and Continuous Shape Optimization Methods (M. Klodt, T. Schoenemann, K. Kolev, M. Schikora, D. Cremers), In European Conference on Computer Vision (ECCV), 2008. [bib] [pdf]
Duality TV-L1 Flow with Fundamental Matrix Prior (A. Wedel, T. Pock, J. Braun, U. Franke, D. Cremers), In Image Vision and Computing, 2008. [bib] [pdf]
Efficient Dense Scene Flow from Sparse or Dense Stereo Data (A. Wedel, C. Rabe, T. Vaudrey, T. Brox, U. Franke, D. Cremers), In European Conference on Computer Vision (ECCV), 2008. [bib] [pdf]
Integration of Multiview Stereo and Silhouettes via Convex Functionals on Convex Domains (K. Kolev, D. Cremers), In European Conference on Computer Vision (ECCV), 2008. [bib] [pdf]
Continuous Energy Minimization via Repeated Binary Fusion (W. Trobin, T. Pock, D. Cremers, H. Bischof), In European Conference on Computer Vision (ECCV), 2008. [bib] [pdf]
A Convex Formulation of Continuous Multi-Label Problems (T. Pock, T. Schoenemann, G. Graber, H. Bischof, D. Cremers), In European Conference on Computer Vision (ECCV), 2008. [bib] [pdf]
TVSeg - Interactive Total Variation Based Image Segmentation (M. Unger, T. Pock, D. Cremers, H. Bischof), In British Machine Vision Conference (BMVC), 2008. [bib] [pdf]
Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces (T. Schoenemann, F. R. Schmidt, D. Cremers), In British Machine Vision Conference (BMVC), 2008. [bib] [pdf]
2007
A probabilistic level set formulation for interactive organ segmentation (D. Cremers, O. Fluck, M. Rousson, S. Aharon), In Proc. of the SPIE Medical Imaging, 2007. [bib] [pdf]
Region-based Pose Tracking (C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer), In Proc. 3rd Iberian Conference on Pattern Recognition and Image Analysis, Springer, 2007. [bib] [pdf]
Iterated Nonlocal Means for Texture Restoration (T. Brox, D. Cremers), In Proc. International Conference on Scale Space and Variational Methods in Computer Vision (F. Sgallari, A. Murli, N. Paragios, eds.), Springer, volume 4485, 2007. [bib] [pdf]
On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional (T. Brox, D. Cremers), In Proc. International Conference on Scale Space and Variational Methods in Computer Vision (F. Sgallari, A. Murli, N. Paragios, eds.), Springer, volume 4485, 2007. [bib] [pdf]
Nonlinear Dynamical Shape Priors for Level Set Segmentation (D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. [bib] [pdf]
Efficient Shape Matching via Graph Cuts (F. R. Schmidt, E. Toeppe, D. Cremers, Y. Boykov), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 4679, 2007. [bib] [pdf]
Online smoothing for markerless motion capture (B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel), In Pattern Recognition (Proc. DAGM), Springer, 2007. [bib] [pdf]
Occlusion Modeling by Tracking Multiple Objects (C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer), In Pattern Recognition (Proc. DAGM), Springer, 2007. [bib] [pdf]
WarpCut - Fast obstacle segmentation in monocular video (A. Wedel, T. Schoenemann, T. Brox, D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, 2007. [bib] [pdf]
Intrinsic Mean for Semimetrical Shape Retrieval via Graph Cuts (F. R. Schmidt, E. Toeppe, D. Cremers, Y. Boykov), In Pattern Recognition (Proc. DAGM), Springer, volume 4713, 2007. [bib] [pdf]
Fast Matching of Planar Shapes in Sub-cubic Runtime (F. R. Schmidt, Dirk Farin, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2007. [bib] [pdf]
Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs (T. Schoenemann, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2007. (After publication, we became aware that a similar graph representation was proposed in a shortest-path context by Amini et al., PAMI 1990.) [bib] [pdf]
Globally Optimal Image Segmentation with an Elastic Shape Prior (T. Schoenemann, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2007. [bib] [pdf]
Nonparametric density estimation with adaptive anisotropic kernels for human motion tracking (T. Brox, B. Rosenhahn, D. Cremers, H.-P. Seidel), In Proc. 2nd International Workshop on Human Motion (A. Elgammal, B. Rosenhahn, R. Klette, eds.), Springer, volume 4814, 2007. [bib] [pdf]
Continuous Global Optimization in Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox, S. Esedoglu, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 4679, 2007. [bib] [pdf]
Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox, D. Cremers), In Workshop on Photometric Analysis for Computer Vision, 2007. [bib] [pdf]
2006
4D shape priors for level set segmentation of the left myocardium in SPECT sequences (T. Kohlberger, D. Cremers, M. Rousson, R. Ramaraj), In Medical Image Computing and Computer Assisted Intervention, volume 4190, 2006. [bib] [pdf]
GPU histogram computation (O. Fluck, S. Aharon, D. Cremers, M. Rousson), In ACM SIGGRAPH posters and demos, 2006. [bib] [pdf]
Nonparametric priors on the space of joint intensity distributions for non-rigid multi-modal image registration (D. Cremers, C. Guetter, C. Xu), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, 2006. [bib] [pdf]
Statistical priors for combinatorial optimization: efficient solutions via Graph Cuts (D. Cremers, L. Grady), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3953, 2006. [bib] [pdf]
High accuracy optical flow serves 3-D pose tracking: exploiting contour and flow based constraints (T. Brox, B. Rosenhahn, D. Cremers, H.-P. Seidel), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3952, 2006. [bib] [pdf]
A comparison of shape matching methods for contour based pose estimation (B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel), In Proc. International Workshop on Combinatorial Image Analysis (R. Reulke, U. Eckhardt, B. Flach, U. Knauer, K. Polthier, eds.), Springer, volume 4040, 2006. [bib] [pdf]
An integral solution to surface evolution PDEs via Geo-Cuts (Y. Boykov, V. Kolmogorov, D. Cremers, A. Delong), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3953, 2006. [bib] [pdf]
Realtime depth estimation and obstacle detection from monocular video (A. Wedel, U. Franke, J. Klappstein, T. Brox, D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Franke et al., ed.), Springer, volume 4174, 2006. [bib] [pdf]
Robust variational segmentation of 3D objects from multiple views (K. Kolev, T. Brox, D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Franke et al., ed.), Springer, volume 4174, 2006. [bib] [pdf]
Nonparametric density estimation for human pose tracking (T. Brox, B. Rosenhahn, U. Kersting, D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Franke et al., ed.), Springer, volume 4174, 2006. [bib] [brox_dagm06] [pdf]
Near Real-time Motion Segmentation using Graph Cuts (T. Schoenemann, D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, volume 4174, 2006. [bib] [pdf]
Shape Matching by Variational Computation of Geodesics on a Manifold (F. R. Schmidt, M. Clausen, D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, volume 4174, 2006. [bib] [pdf]
2005
Efficient kernel density estimation of shape and intensity priors for level set segmentation (M. Rousson, D. Cremers), In Medical Image Computing and Computer Assisted Intervention, volume 1, 2005. [bib] [pdf]
One-shot integral invariant shape priors for variational segmentation (S. Manay, D. Cremers, A. J. Yezzi, S. Soatto), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (A. Rangarajan, B. Vemuri, A. L. Yuille, eds.), volume 3757, 2005. [bib]
Dynamical statistical shape priors for level set based tracking (D. Cremers, G. Funka-Lea), In Intl. Workshop on Variational and Level Set Methods (N. Paragios, F. Faugeras, T. Chan, C. Schnörr, eds.), Springer, volume 3752, 2005. (210--221) [bib] [pdf]
2004
Shedding light on stereoscopic segmentation (H. Jin, D. Cremers, A. Yezzi, S. Soatto), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (L. Davis, ed.), volume 1, 2004. [bib] [pdf]
Multiphase dynamic labeling for variational recognition-driven image segmentation (D. Cremers, N. Sochen, C. Schnörr), In European Conference on Computer Vision (ECCV) (T. Pajdla, V. Hlavac, eds.), Springer, volume 3024, 2004. [bib] [pdf]
Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (D. Cremers, S. J. Osher, S. Soatto), In Pattern Recognition (Proc. DAGM) (C. E. Rasmussen, ed.), Springer, volume 3175, 2004. [bib] [pdf]
Bayesian Approaches to Motion-based Image and Video Segmentation (D. Cremers), In 1st Int. Workshop on Complex Motion, Springer, volume 3417, 2004. [bib] [pdf]
2003
Dynamic texture segmentation (G. Doretto, D. Cremers, P. Favaro, S. Soatto), In IEEE International Conference on Computer Vision (ICCV) (B. Triggs, A. Zisserman, eds.), volume 2, 2003. [bib] [pdf]
A generative model based approach to motion segmentation (D. Cremers, A. L. Yuille), In Pattern Recognition (Proc. DAGM) (B. Michaelis, G. Krell, eds.), Springer, volume 2781, 2003. [bib] [pdf]
Towards Recognition-based Variational Segmentation Using Shape Priors and Dynamic Labeling (D. Cremers, N. Sochen, C. Schnörr), In Scale-Space Methods in Computer Vision (L. D. Griffin, M. Lillholm, eds.), Springer, volume 2695, 2003. [bib] [pdf]
Variational space-time motion segmentation (D. Cremers, S. Soatto), In IEEE International Conference on Computer Vision (ICCV) (B. Triggs, A. Zisserman, eds.), volume 2, 2003. [bib] [pdf]
A pseudo-distance for shape priors in level set segmentation (D. Cremers, S. Soatto), In IEEE 2nd Int. Workshop on Variational, Geometric and Level Set Methods (N. Paragios, ed.), 2003. [bib] [pdf]
A multiphase level set framework for variational motion segmentation (D. Cremers), In Scale-Space Methods in Computer Vision (L. D. Griffin, M. Lillholm, eds.), Springer, volume 2695, 2003. [bib] [pdf]
A variational framework for image segmentation combining motion estimation and shape regularization (D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (C. Dyer, P. Perona, eds.), volume 1, 2003. [bib] [pdf]
2002
Statistical shape knowledge in variational motion segmentation (D. Cremers, C. Schnörr), In 1st Internat. Workshop on Generative-Model-Based Vision (A. Pece, Y. N. Wu, R. Larsen, eds.), Univ. of Copenhagen, 2002. (http://www.diku.dk/research/published/2002/02-01) [bib] [gz]
Motion Competition: variational integration of motion segmentation and shape regularization (D. Cremers, C. Schnörr), In Pattern Recognition (Proc. DAGM) (L. van Gool, ed.), Springer, volume 2449, 2002. [bib] [pdf]Received the Best Paper Award
Nonlinear shape statistics in Mumford--Shah based segmentation (D. Cremers, T. Kohlberger, C. Schnörr), In European Conference on Computer Vision (ECCV) (A. Heyden, others, eds.), Springer, volume 2351, 2002. [bib] [pdf]
Unsupervised Image Partitioning with Semidefinite Programmifng (J. Keuchel, C. Schnoerr, C. Schellewald, D. Cremers), In Pattern Recognition (L. van Gool, ed.), Springer, volume 2449, 2002. [bib] [pdf]
2001
Diffusion Snakes: Combining statistical shape knowledge and image information in a variational framework (D. Cremers, C. Schnörr, J. Weickert), In IEEE First Int. Workshop on Variational and Level Set Methods (N. Paragios, ed.), 2001. [bib] [gz]Best Student Paper Award
Convex Relaxations for Binary Image Partitioning and Perceptual Grouping (J. Keuchel, C. Schellewald, D. Cremers, C. Schnoerr), In Pattern Recognition (B. Radig, S. Florczyk, eds.), Springer, volume 2191, 2001. [bib]Received a DAGM Paper Award
Nonlinear shape statistics via kernel spaces (D. Cremers, T. Kohlberger, C. Schnörr), In Pattern Recognition (Proc. DAGM) (B. Radig, S. Florczyk, eds.), Springer, volume 2191, 2001. [bib] [pdf]
2000
Diffusion Snakes using statistical shape knowledge (D. Cremers, C. Schnörr, J. Weickert, C. Schellewald), In Algebraic Frames for the Perception-Action Cycle (C. Sommer, Y.Y. Zeevi, eds.), Springer, volume 1888, 2000. [bib] [gz]
Learning of translation invariant shape knowledge for steering diffusion snakes (D. Cremers, C. Schnörr, J. Weickert, C. Schellewald), In Dynamische Perzeption (G. Baratoff, H. Neumann, eds.), Infix, volume 9, 2000. [bib] [gz]
Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
PhD Thesis
2002
Statistical shape knowledge in variational image segmentation (D. Cremers), PhD thesis, Department of Mathematics and Computer Science, University of Mannheim, Germany, 2002. [bib] [pdf]
Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
Other Publications
2009
Statistical and Geometrical Approaches to Visual Motion Analysis, (D. Cremers, B. Rosenhahn, A. Yuille, F. R. Schmidt, eds.), Springer, volume 5604, 2009. [bib]
Energy Minimization Methods for Computer Vision and Pattern Recognition (EMMCVPR), (D. Cremers, Y. Boykov, A. Blake, F. R. Schmidt, eds.), Springer, volume 5681, 2009. [bib]
2008
A Convex Approach for Computing Minimal Partitions (A. Chambolle, D. Cremers, T. Pock), 2008. [bib] [pdf]
2007
Iterated and Efficient Nonlocal Means for Denoising of Textural Patterns (T. Brox, O. Kleinschmidt, D. Cremers), 2007. (Available by e-mail on request.) [bib]
Energy Minimization Methods for Computer Vision and Pattern Recognition (EMMCVPR), (S.-C. Zhu, A. Yuille, D. Cremers, Y. Wang, eds.), Springer, volume 4679, 2007. [bib]
2000
Diffusion Snakes using statistical shape knowledge (D. Cremers, C. Schnörr, J. Weickert, C. Schellewald), 2000. [bib]
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