Daniel Cremers

Claudia Nieuwenhuis, Daniel Cremers: Spatially Varying Color Distributions for Interactive Multilabel Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1234-1247 (2013)

Marek Schikora, Balram Neupane, Satish Madhogaria, Wolfgang Koch, Daniel Cremers, Heribert Hirt, Karl-Heinz Kogel, Adam Schikora: An image classification approach to analyze the suppression of plant immunity by the human pathogen Salmonella Typhimurium. BMC Bioinformatics 13: 171 (2012)

Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Daniel Cremers: A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization. International Journal of Computer Vision 99(1): 53-68 (2012)

Daniel Cremers: Optimal solutions for semantic image decomposition. Image Vision Comput. 30(8): 476-477 (2012)

Siqi Chen, Daniel Cremers, Richard J. Radke: Image segmentation with one shape prior - A template-based formulation. Image Vision Comput. 30(12): 1032-1042 (2012)

Kalin Kolev, Thomas Brox, Daniel Cremers: Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 493-505 (2012)

Bastian Goldlücke, Evgeny Strekalovskiy, Daniel Cremers: The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory. SIAM J. Imaging Sciences 5(2): 537-563 (2012)

Antonin Chambolle, Daniel Cremers, Thomas Pock: A Convex Approach to Minimal Partitions. SIAM J. Imaging Sciences 5(4): 1113-1158 (2012)

Thomas Schoenemann, Daniel Cremers: A Coding-Cost Framework for Super-Resolution Motion Layer Decomposition. IEEE Transactions on Image Processing 21(3): 1097-1110 (2012)

Martin R. Oswald, Eno Töppe, Daniel Cremers: Fast and globally optimal single view reconstruction of curved objects. CVPR 2012: 534-541

Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers: A convex representation for the vectorial Mumford-Shah functional. CVPR 2012: 1712-1719

Youngwook Kee, Daniel Cremers, Junmo Kim: Groupwise Shape Registration Based on Entropy Minimization. DAGM/OAGM Symposium 2012: 347-356

Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers: Nonmetric Priors for Continuous Multilabel Optimization. ECCV (7) 2012: 208-221

Thomas Windheuser, Hiroshi Ishikawa, Daniel Cremers: Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency. ECCV (6) 2012: 400-413

Nikolai Ufer, Mohamed Souiai, Daniel Cremers: Wehrli 2.0: An Algorithm for "Tidying up Art". ECCV Workshops (1) 2012: 532-541

Felix Endres, Jürgen Hess, Nikolas Engelhard, Jürgen Sturm, Daniel Cremers, Wolfram Burgard: An evaluation of the RGB-D SLAM system. ICRA 2012: 1691-1696

Thomas Rühr, Jürgen Sturm, Dejan Pangercic, Michael Beetz, Daniel Cremers: A generalized framework for opening doors and drawers in kitchen environments. ICRA 2012: 3852-3858

Jürgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, Daniel Cremers: A benchmark for the evaluation of RGB-D SLAM systems. IROS 2012: 573-580

Licong Zhang, Jürgen Sturm, Daniel Cremers, Dongheui Lee: Real-time human motion tracking using multiple depth cameras. IROS 2012: 2389-2395

Jakob Engel, Jürgen Sturm, Daniel Cremers: Camera-based navigation of a low-cost quadrocopter. IROS 2012: 2815-2821

Andreas Wedel, Daniel Cremers: Stereo Scene Flow for 3D Motion Analysis. Springer 2011, isbn 978-0-85729-964-2, pp. I-IX, 1-128

Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers: Large-Scale Integer Linear Programming for Orientation Preserving 3D Shape Matching. Comput. Graph. Forum 30(5): 1471-1480 (2011)

Andreas Wedel, Thomas Brox, Tobi Vaudrey, Clemens Rabe, Uwe Franke, Daniel Cremers: Stereoscopic Scene Flow Computation for 3D Motion Understanding. International Journal of Computer Vision 95(1): 29-51 (2011)

Daniel Cremers, Kalin Kolev: Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains. IEEE Trans. Pattern Anal. Mach. Intell. 33(6): 1161-1174 (2011)

Anita Sellent, Martin Eisemann, Bastian Goldlücke, Daniel Cremers, Marcus A. Magnor: Motion Field Estimation from Alternate Exposure Images. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1577-1589 (2011)

Kalin Kolev, Norbert Kirchgeßner, Sebastian Houben, Agnes Csiszár, Wolfgang Rubner, Christoph Palm, Björn Eiben, Rudolf Merkel, Daniel Cremers: A variational approach to vesicle membrane reconstruction from fluorescence imaging. Pattern Recognition 44(12): 2944-2958 (2011)

Thomas Schoenemann, Simon Masnou, Daniel Cremers: The Elastic Ratio: Introducing Curvature Into Ratio-Based Image Segmentation. IEEE Transactions on Image Processing 20(9): 2565-2581 (2011)

Evgeny Strekalovskiy, Daniel Cremers: Total variation for cyclic structures: Convex relaxation and efficient minimization. CVPR 2011: 1905-1911

Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers: Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor. DAGM-Symposium 2011: 122-131

Claudia Nieuwenhuis, Eno Töppe, Daniel Cremers: Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches. EMMCVPR 2011: 177-190

Marek Schikora, Wolfgang Koch, Daniel Cremers: Multi-object tracking via high accuracy optical flowand finite set statistics. ICASSP 2011: 1409-1412

Bastian Goldlücke, Daniel Cremers: Introducing total curvature for image processing. ICCV 2011: 1267-1274

Mathieu Aubry, Kalin Kolev, Bastian Goldlücke, Daniel Cremers: Decoupling photometry and geometry in dense variational camera calibration. ICCV 2011: 1411-1418

Thomas Windheuser, Ulrich Schlickewei, Frank R. Schmidt, Daniel Cremers: Geometrically consistent elastic matching of 3D shapes: A linear programming solution. ICCV 2011: 2134-2141

Maria Klodt, Daniel Cremers: A convex framework for image segmentation with moment constraints. ICCV 2011: 2236-2243

Evgeny Strekalovskiy, Bastian Goldlücke, Daniel Cremers: Tight convex relaxations for vector-valued labeling problems. ICCV 2011: 2328-2335

Evgeny Strekalovskiy, Daniel Cremers: Generalized ordering constraints for multilabel optimization. ICCV 2011: 2619-2626

Frank Steinbrücker, Jürgen Sturm, Daniel Cremers: Real-time visual odometry from dense RGB-D images. ICCV Workshops 2011: 719-722

Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers: The wave kernel signature: A quantum mechanical approach to shape analysis. ICCV Workshops 2011: 1626-1633

Daniel Cremers, Marcus A. Magnor, Martin R. Oswald, Lihi Zelnik-Manor (Eds.): Video Processing and Computational Video - International Seminar, Dagstuhl Castle, Germany, October 10-15, 2010. Revised Papers. Lecture Notes in Computer Science 7082, Springer 2011, isbn 978-3-642-24869-6

Thomas Schoenemann, Simon Masnou, Daniel Cremers: On a linear programming approach to the discrete Willmore boundary value problem and generalizations. CoRR abs/1101.0777 (2011)

Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Daniel Cremers: A linear framework for region-based image segmentation and inpainting involving curvature penalization. CoRR abs/1102.3830 (2011)

Thomas Brox, Bodo Rosenhahn, Juergen Gall, Daniel Cremers: Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 402-415 (2010)

Thomas Schoenemann, Daniel Cremers: A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1153-1164 (2010)

Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle: Global Solutions of Variational Models with Convex Regularization. SIAM J. Imaging Sciences 3(4): 1122-1145 (2010)

Eno Töppe, Martin R. Oswald, Daniel Cremers, Carsten Rother: Image-Based 3D Modeling via Cheeger Sets. ACCV (1) 2010: 53-64

Thomas Schoenemann, Simon Masnou, Daniel Cremers: On a Linear Programming Approach to the Discrete Willmore Boundary Value Problem and Generalizations. Curves and Surfaces 2010: 629-646

Bastian Goldlücke, Daniel Cremers: An approach to vectorial total variation based on geometric measure theory. CVPR 2010: 327-333

Jan Stühmer, Stefan Gumhold, Daniel Cremers: Real-Time Dense Geometry from a Handheld Camera. DAGM-Symposium 2010: 11-20

Claudia Nieuwenhuis, Benjamin Berkels, Martin Rumpf, Daniel Cremers: Interactive Motion Segmentation. DAGM-Symposium 2010: 483-492

Eno Töppe, Martin R. Oswald, Daniel Cremers, Carsten Rother: Silhouette-Based Variational Methods for Single View Reconstruction. Video Processing and Computational Video 2010: 104-123

Bastian Goldlücke, Daniel Cremers: Convex Relaxation for Multilabel Problems with Product Label Spaces. ECCV (5) 2010: 225-238

Jan Stühmer, Stefan Gumhold, Daniel Cremers: Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera. ECCV Workshops (1) 2010: 450-462

Kalin Kolev, Thomas Pock, Daniel Cremers: Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo. ECCV (3) 2010: 538-551

Marek Schikora, Adam Schikora, Karl-Heinz Kogel, Wolfgang Koch, Daniel Cremers: Probabilistic Classification of Disease symptoms caused by Salmonella on Arabidopsis Plants. GI Jahrestagung (2) 2010: 874-879

Markus Boerdgen, Benjamin Berkels, Martin Rumpf, Daniel Cremers: Convex Relaxation for Grain Segmentation at Atomic Scale. VMV 2010: 179-186

Kalin Kolev, Maria Klodt, Thomas Brox, Daniel Cremers: Continuous Global Optimization in Multiview 3D Reconstruction. International Journal of Computer Vision 84(1): 80-96 (2009)

Thomas Brox, Daniel Cremers: On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. International Journal of Computer Vision 84(2): 184-193 (2009)

Andreas Wedel, Hernán Badino, Clemens Rabe, Heidi Loose, Uwe Franke, Daniel Cremers: B-Spline Modeling of Road Surfaces With an Application to Free-Space Estimation. IEEE Transactions on Intelligent Transportation Systems 10(4): 572-583 (2009)

Manuel Werlberger, Werner Trobin, Thomas Pock, Andreas Wedel, Daniel Cremers, Horst Bischof: Anisotropic Huber-L1 Optical Flow. BMVC 2009: 1-11

Frank R. Schmidt, Eno Töppe, Daniel Cremers: Efficient planar graph cuts with applications in Computer Vision. CVPR 2009: 351-356

Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof: A convex relaxation approach for computing minimal partitions. CVPR 2009: 810-817

Kalin Kolev, Daniel Cremers: Continuous ratio optimization via convex relaxation with applications to multiview 3D reconstruction. CVPR 2009: 1858-1864

Frank R. Schmidt, Daniel Cremers: A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors. DAGM-Symposium 2009: 31-40

Martin R. Oswald, Eno Töppe, Kalin Kolev, Daniel Cremers: Non-parametric Single View Reconstruction of Curved Objects Using Convex Optimization. DAGM-Symposium 2009: 171-180

Bastian Goldlücke, Daniel Cremers: A Superresolution Framework for High-Accuracy Multiview Reconstruction. DAGM-Symposium 2009: 342-351

Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Daniel Cremers: Video Super Resolution Using Duality Based TV-L1 Optical Flow. DAGM-Symposium 2009: 432-441

Andreas Wedel, Annemarie Meißner, Clemens Rabe, Uwe Franke, Daniel Cremers: Detection and Segmentation of Independently Moving Objects from Dense Scene Flow. EMMCVPR 2009: 14-27

Thomas Schoenemann, Fredrik Kahl, Daniel Cremers: Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation. ICCV 2009: 17-23

Thomas Windheuser, Thomas Schoenemann, Daniel Cremers: Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input. ICCV 2009: 717-722

Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle: An algorithm for minimizing the Mumford-Shah functional. ICCV 2009: 1133-1140

Frank Steinbrücker, Thomas Pock, Daniel Cremers: Large displacement optical flow computation withoutwarping. ICCV 2009: 1609-1614

Andreas Wedel, Daniel Cremers, Thomas Pock, Horst Bischof: Structure- and motion-adaptive regularization for high accuracy optic flow. ICCV 2009: 1663-1668

Bastian Goldlücke, Daniel Cremers: Superresolution texture maps for multiview reconstruction. ICCV 2009: 1677-1684

Anita Sellent, Martin Eisemann, Bastian Goldlücke, Thomas Pock, Daniel Cremers, Marcus A. Magnor: Variational Optical Flow from Alternate Exposure Images. VMV 2009: 135-144

Frank Steinbrücker, Thomas Pock, Daniel Cremers: Advanced Data Terms for Variational Optic Flow Estimation. VMV 2009: 155-164

Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition, 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings. Lecture Notes in Computer Science 5681, Springer 2009, isbn 978-3-642-03640-8

Hailin Jin, Daniel Cremers, Dejun Wang, Emmanuel Prados, Anthony J. Yezzi, Stefano Soatto: 3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination. International Journal of Computer Vision 76(3): 245-256 (2008)

Daniel Cremers: Nonlinear Dynamical Shape Priors for Level Set Segmentation. J. Sci. Comput. 35(2-3): 132-143 (2008)

Thomas Brox, Oliver Kleinschmidt, Daniel Cremers: Efficient Nonlocal Means for Denoising of Textural Patterns. IEEE Transactions on Image Processing 17(7): 1083-1092 (2008)

Thomas Schoenemann, Frank R. Schmidt, Daniel Cremers: Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. BMVC 2008: 1-10

Markus Unger, Thomas Pock, Werner Trobin, Daniel Cremers, Horst Bischof: TVSeg - Interactive Total Variation Based Image Segmentation. BMVC 2008: 1-10

Daniel Cremers, Frank R. Schmidt, Frank Barthel: Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. CVPR 2008

Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, Joachim Weickert, Daniel Cremers, Hans-Peter Seidel: Markerless motion capture of man-machine interaction. CVPR 2008

Thomas Schoenemann, Daniel Cremers: High resolution motion layer decomposition using dual-space graph cuts. CVPR 2008

Thomas Schoenemann, Daniel Cremers: Globally optimal shape-based tracking in real-time. CVPR 2008

Thomas Schoenemann, Daniel Cremers: Matching non-rigidly deformable shapes across images: A globally optimal solution. CVPR 2008

Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof: An Unbiased Second-Order Prior for High-Accuracy Motion Estimation. DAGM-Symposium 2008: 396-405

Maria Klodt, Thomas Schoenemann, Kalin Kolev, Marek Schikora, Daniel Cremers: An Experimental Comparison of Discrete and Continuous Shape Optimization Methods. ECCV (1) 2008: 332-345

Werner Trobin, Thomas Pock, Daniel Cremers, Horst Bischof: Continuous Energy Minimization Via Repeated Binary Fusion. ECCV (4) 2008: 677-690

Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas Brox, Uwe Franke, Daniel Cremers: Efficient Dense Scene Flow from Sparse or Dense Stereo Data. ECCV (1) 2008: 739-751

Kalin Kolev, Daniel Cremers: Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains. ECCV (1) 2008: 752-765

Thomas Pock, Thomas Schoenemann, Gottfried Graber, Horst Bischof, Daniel Cremers: A Convex Formulation of Continuous Multi-label Problems. ECCV (3) 2008: 792-805

Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel: Modeling and Tracking Line-Constrained Mechanical Systems. RobVis 2008: 98-110

Daniel Cremers, Mikaël Rousson, Rachid Deriche: A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. International Journal of Computer Vision 72(2): 195-215 (2007)

Daniel Cremers: Nonlinear Dynamical Shape Priors for Level Set Segmentation. CVPR 2007

Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel: Online Smoothing for Markerless Motion Capture. DAGM-Symposium 2007: 163-172

Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke, Gerald Sommer: Occlusion Modeling by Tracking Multiple Objects. DAGM-Symposium 2007: 173-183

Andreas Wedel, Thomas Schoenemann, Thomas Brox, Daniel Cremers: WarpCut - Fast Obstacle Segmentation in Monocular Video. DAGM-Symposium 2007: 264-273

Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov: Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. DAGM-Symposium 2007: 446-455

Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov: Efficient Shape Matching Via Graph Cuts. EMMCVPR 2007: 39-54

Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedoglu, Daniel Cremers: Continuous Global Optimization in Multiview 3D Reconstruction. EMMCVPR 2007: 441-452

Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel: Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking. Workshop on Human Motion 2007: 152-165

Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer: Region-Based Pose Tracking. IbPRIA (2) 2007: 56-63

Frank R. Schmidt, Dirk Farin, Daniel Cremers: Fast Matching of Planar Shapes in Sub-cubic Runtime. ICCV 2007: 1-6

Thomas Schoenemann, Daniel Cremers: Globally Optimal Image Segmentation with an Elastic Shape Prior. ICCV 2007: 1-6

Thomas Schoenemann, Daniel Cremers: Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs. ICCV 2007: 1-6

Thomas Brox, Daniel Cremers: Iterated Nonlocal Means for Texture Restoration. SSVM 2007: 13-24

Thomas Brox, Daniel Cremers: On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. SSVM 2007: 203-213

Alan L. Yuille, Song Chun Zhu, Daniel Cremers, Yongtian Wang (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings. Lecture Notes in Computer Science 4679, Springer 2007, isbn 978-3-540-74195-4

Daniel Cremers, Nir A. Sochen, Christoph Schnörr: A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. International Journal of Computer Vision 66(1): 67-81 (2006)

Daniel Cremers, Stanley Osher, Stefano Soatto: Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. International Journal of Computer Vision 69(3): 335-351 (2006)

Daniel Cremers: Dynamical Statistical Shape Priors for Level Set-Based Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1262-1273 (2006)

Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto: Integral Invariants for Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1602-1618 (2006)

Daniel Cremers, Christoph Guetter, Chenyang Xu: Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration. CVPR (2) 2006: 1777-1783

Frank R. Schmidt, Michael Clausen, Daniel Cremers: Shape Matching by Variational Computation of Geodesics on a Manifold. DAGM-Symposium 2006: 142-151

Thomas Schoenemann, Daniel Cremers: Near Real-Time Motion Segmentation Using Graph Cuts. DAGM-Symposium 2006: 455-464

Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas Brox, Daniel Cremers: Realtime Depth Estimation and Obstacle Detection from Monocular Video. DAGM-Symposium 2006: 475-484

Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Daniel Cremers: Nonparametric Density Estimation for Human Pose Tracking. DAGM-Symposium 2006: 546-555

Kalin Kolev, Thomas Brox, Daniel Cremers: Robust Variational Segmentation of 3D Objects from Multiple Views. DAGM-Symposium 2006: 688-697

Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel: High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. ECCV (2) 2006: 98-111

Daniel Cremers, Leo Grady: Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts. ECCV (3) 2006: 263-274

Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, Andrew Delong: An Integral Solution to Surface Evolution PDEs Via Geo-cuts. ECCV (3) 2006: 409-422

Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel: A Comparison of Shape Matching Methods for Contour Based Pose Estimation. IWCIA 2006: 263-276

Timo Kohlberger, Daniel Cremers, Mikaël Rousson, Ramamani Ramaraj, Gareth Funka-Lea: 4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences. MICCAI (1) 2006: 92-100

Siddharth Manay, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto: One-Shot Integral Invariant Shape Priors for Variational Segmentation. EMMCVPR 2005: 414-426

Mikaël Rousson, Daniel Cremers: Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation. MICCAI (2) 2005: 757-764

Daniel Cremers, Gareth Funka-Lea: Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation. VLSM 2005: 210-221

Daniel Cremers, Stefano Soatto: Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. International Journal of Computer Vision 62(3): 249-265 (2004)

Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto: Shedding Light on Stereoscopic Segmentation. CVPR (1) 2004: 36-42

Daniel Cremers, Stanley Osher, Stefano Soatto: Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. DAGM-Symposium 2004: 36-44

Daniel Cremers, Nir A. Sochen, Christoph Schnörr: Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) 2004: 74-86

Daniel Cremers: Bayesian Approaches to Motion-Based Image and Video Segmentation. IWCM 2004: 104-123

Daniel Cremers, Christoph Schnörr: Statistical shape knowledge in variational motion segmentation. Image Vision Comput. 21(1): 77-86 (2003)

Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers: Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1364-1379 (2003)

Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Shape statistics in kernel space for variational image segmentation. Pattern Recognition 36(9): 1929-1943 (2003)

Daniel Cremers: A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization. CVPR (1) 2003: 53-58

Daniel Cremers, Alan L. Yuille: A Generative Model Based Approach to Motion Segmentation. DAGM-Symposium 2003: 313-320

Daniel Cremers, Stefano Soatto: Variational Space-Time Motion Segmentation. ICCV 2003: 886-893

Gianfranco Doretto, Daniel Cremers, Paolo Favaro, Stefano Soatto: Dynamic Texture Segmentation. ICCV 2003: 1236-1242

Daniel Cremers, Nir A. Sochen, Christoph Schnörr: Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space 2003: 388-400

Daniel Cremers: A Multiphase Level Set Framework for Motion Segmentation. Scale-Space 2003: 599-614

Daniel Cremers: Statistical shape knowledge in variational image segmentation. Universität Mannheim 2002, pp. I-X, 1-151

Daniel Cremers, Florian Tischhäuser, Joachim Weickert, Christoph Schnörr: Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. International Journal of Computer Vision 50(3): 295-313 (2002)

Daniel Cremers, Andreas V. M. Herz: Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics. Neural Computation 14(7): 1651-1667 (2002)

Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers: Unsupervised Image Partitioning with Semidefinite Programming. DAGM-Symposium 2002: 141-149

Daniel Cremers, Christoph Schnörr: Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. DAGM-Symposium 2002: 472-480

Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. ECCV (2) 2002: 93-108

Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium 2001: 269-276

Jens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr: Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. DAGM-Symposium 2001: 353-360

Daniel Cremers, Christoph Schnörr, Joachim Weickert, Christian Schellewald: Diffusion-Snakes Using Statistical Shape Knowledge. AFPAC 2000: 164-174