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Daniel Cremers: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel Cremers, Christoph Schnörr, Joachim Weickert, Christian Schellewald
    Diffusion-Snakes Using Statistical Shape Knowledge. [Citation Graph (0, 0)][DBLP]
    AFPAC, 2000, pp:164-174 [Conf]
  2. Daniel Cremers
    A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2003, pp:53-58 [Conf]
  3. Daniel Cremers, Christoph Guetter, Chenyang Xu
    Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:1777-1783 [Conf]
  4. Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto
    Shedding Light on Stereoscopic Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2004, pp:36-42 [Conf]
  5. Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Daniel Cremers
    Nonparametric Density Estimation for Human Pose Tracking. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:546-555 [Conf]
  6. Daniel Cremers, Timo Kohlberger, Christoph Schnörr
    Nonlinear Shape Statistics via Kernel Spaces. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2001, pp:269-276 [Conf]
  7. Daniel Cremers, Stanley Osher, Stefano Soatto
    Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:36-44 [Conf]
  8. Daniel Cremers, Christoph Schnörr
    Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2002, pp:472-480 [Conf]
  9. Daniel Cremers, Alan L. Yuille
    A Generative Model Based Approach to Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:313-320 [Conf]
  10. Jens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr
    Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2001, pp:353-360 [Conf]
  11. Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers
    Unsupervised Image Partitioning with Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2002, pp:141-149 [Conf]
  12. Kalin Kolev, Thomas Brox, Daniel Cremers
    Robust Variational Segmentation of 3D Objects from Multiple Views. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:688-697 [Conf]
  13. Frank R. Schmidt, Michael Clausen, Daniel Cremers
    Shape Matching by Variational Computation of Geodesics on a Manifold. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:142-151 [Conf]
  14. Thomas Schoenemann, Daniel Cremers
    Near Real-Time Motion Segmentation Using Graph Cuts. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:455-464 [Conf]
  15. Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas Brox, Daniel Cremers
    Realtime Depth Estimation and Obstacle Detection from Monocular Video. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:475-484 [Conf]
  16. Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, Andrew Delong
    An Integral Solution to Surface Evolution PDEs Via Geo-cuts. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2006, pp:409-422 [Conf]
  17. Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel
    High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2006, pp:98-111 [Conf]
  18. Daniel Cremers, Leo Grady
    Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2006, pp:263-274 [Conf]
  19. Daniel Cremers, Timo Kohlberger, Christoph Schnörr
    Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2002, pp:93-108 [Conf]
  20. Daniel Cremers, Nir A. Sochen, Christoph Schnörr
    Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2004, pp:74-86 [Conf]
  21. Siddharth Manay, Daniel Cremers, Anthony J. Yezzi, Stefano Soatto
    One-Shot Integral Invariant Shape Priors for Variational Segmentation. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2005, pp:414-426 [Conf]
  22. Daniel Cremers, Stefano Soatto
    Variational Space-Time Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:886-893 [Conf]
  23. Gianfranco Doretto, Daniel Cremers, Paolo Favaro, Stefano Soatto
    Dynamic Texture Segmentation. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:1236-1242 [Conf]
  24. Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
    A Comparison of Shape Matching Methods for Contour Based Pose Estimation. [Citation Graph (0, 0)][DBLP]
    IWCIA, 2006, pp:263-276 [Conf]
  25. 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. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2006, pp:92-100 [Conf]
  26. Mikaël Rousson, Daniel Cremers
    Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2005, pp:757-764 [Conf]
  27. Daniel Cremers
    A Multiphase Level Set Framework for Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    Scale-Space, 2003, pp:599-614 [Conf]
  28. Daniel Cremers, Nir A. Sochen, Christoph Schnörr
    Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. [Citation Graph (0, 0)][DBLP]
    Scale-Space, 2003, pp:388-400 [Conf]
  29. Daniel Cremers, Gareth Funka-Lea
    Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation. [Citation Graph (0, 0)][DBLP]
    VLSM, 2005, pp:210-221 [Conf]
  30. Daniel Cremers, Stefano Soatto
    Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2004, v:62, n:3, pp:249-265 [Journal]
  31. Daniel Cremers, Florian Tischhäuser, Joachim Weickert, Christoph Schnörr
    Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2002, v:50, n:3, pp:295-313 [Journal]
  32. Daniel Cremers, Stanley Osher, Stefano Soatto
    Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2006, v:69, n:3, pp:335-351 [Journal]
  33. Daniel Cremers, Nir A. Sochen, Christoph Schnörr
    A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2006, v:66, n:1, pp:67-81 [Journal]
  34. Daniel Cremers, Mikaël Rousson, Rachid Deriche
    A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:72, n:2, pp:195-215 [Journal]
  35. Daniel Cremers, Christoph Schnörr
    Statistical shape knowledge in variational motion segmentation. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2003, v:21, n:1, pp:77-86 [Journal]
  36. Daniel Cremers, Andreas V. M. Herz
    Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:7, pp:1651-1667 [Journal]
  37. Daniel Cremers
    Dynamical Statistical Shape Priors for Level Set-Based Tracking. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:8, pp:1262-1273 [Journal]
  38. Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers
    Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:11, pp:1364-1379 [Journal]
  39. Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
    Integral Invariants for Shape Matching. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:10, pp:1602-1618 [Journal]
  40. Daniel Cremers, Timo Kohlberger, Christoph Schnörr
    Shape statistics in kernel space for variational image segmentation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:9, pp:1929-1943 [Journal]
  41. Daniel Cremers
    Nonlinear Dynamical Shape Priors for Level Set Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  42. Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
    Online Smoothing for Markerless Motion Capture. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2007, pp:163-172 [Conf]
  43. Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke, Gerald Sommer
    Occlusion Modeling by Tracking Multiple Objects. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2007, pp:173-183 [Conf]
  44. Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
    Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2007, pp:446-455 [Conf]
  45. Andreas Wedel, Thomas Schoenemann, Thomas Brox, Daniel Cremers
    WarpCut - Fast Obstacle Segmentation in Monocular Video. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2007, pp:264-273 [Conf]
  46. Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedoglu, Daniel Cremers
    Continuous Global Optimization in Multiview 3D Reconstruction. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2007, pp:441-452 [Conf]
  47. Frank R. Schmidt, Eno Töppe, Daniel Cremers, Yuri Boykov
    Efficient Shape Matching Via Graph Cuts. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2007, pp:39-54 [Conf]
  48. Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel
    Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking. [Citation Graph (0, 0)][DBLP]
    Workshop on Human Motion, 2007, pp:152-165 [Conf]
  49. Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Joachim Weickert, Lennart Wietzke, Gerald Sommer
    Region-Based Pose Tracking. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2007, pp:56-63 [Conf]
  50. Thomas Brox, Daniel Cremers
    Iterated Nonlocal Means for Texture Restoration. [Citation Graph (0, 0)][DBLP]
    SSVM, 2007, pp:13-24 [Conf]
  51. Thomas Brox, Daniel Cremers
    On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional. [Citation Graph (0, 0)][DBLP]
    SSVM, 2007, pp:203-213 [Conf]
  52. Daniel Cremers
    Bayesian Approaches to Motion-Based Image and Video Segmentation. [Citation Graph (0, 0)][DBLP]
    IWCM, 2004, pp:104-123 [Conf]

  53. Markerless motion capture of man-machine interaction. [Citation Graph (, )][DBLP]


  54. High resolution motion layer decomposition using dual-space graph cuts. [Citation Graph (, )][DBLP]


  55. Matching non-rigidly deformable shapes across images: A globally optimal solution. [Citation Graph (, )][DBLP]


  56. Globally optimal shape-based tracking in real-time. [Citation Graph (, )][DBLP]


  57. Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions. [Citation Graph (, )][DBLP]


  58. Continuous ratio optimization via convex relaxation with applications to multiview 3D reconstruction. [Citation Graph (, )][DBLP]


  59. Efficient planar graph cuts with applications in Computer Vision. [Citation Graph (, )][DBLP]


  60. A convex relaxation approach for computing minimal partitions. [Citation Graph (, )][DBLP]


  61. A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors. [Citation Graph (, )][DBLP]


  62. Non-parametric Single View Reconstruction of Curved Objects Using Convex Optimization. [Citation Graph (, )][DBLP]


  63. An Unbiased Second-Order Prior for High-Accuracy Motion Estimation. [Citation Graph (, )][DBLP]


  64. A Superresolution Framework for High-Accuracy Multiview Reconstruction. [Citation Graph (, )][DBLP]


  65. Video Super Resolution Using Duality Based TV-L1 Optical Flow. [Citation Graph (, )][DBLP]


  66. Interactive Motion Segmentation. [Citation Graph (, )][DBLP]


  67. Real-Time Dense Geometry from a Handheld Camera. [Citation Graph (, )][DBLP]


  68. An Experimental Comparison of Discrete and Continuous Shape Optimization Methods. [Citation Graph (, )][DBLP]


  69. Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains. [Citation Graph (, )][DBLP]


  70. Efficient Dense Scene Flow from Sparse or Dense Stereo Data. [Citation Graph (, )][DBLP]


  71. A Convex Formulation of Continuous Multi-label Problems. [Citation Graph (, )][DBLP]


  72. Continuous Energy Minimization Via Repeated Binary Fusion. [Citation Graph (, )][DBLP]


  73. Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo. [Citation Graph (, )][DBLP]


  74. Detection and Segmentation of Independently Moving Objects from Dense Scene Flow. [Citation Graph (, )][DBLP]


  75. Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs. [Citation Graph (, )][DBLP]


  76. Globally Optimal Image Segmentation with an Elastic Shape Prior. [Citation Graph (, )][DBLP]


  77. Fast Matching of Planar Shapes in Sub-cubic Runtime. [Citation Graph (, )][DBLP]


  78. Modeling and Tracking Line-Constrained Mechanical Systems. [Citation Graph (, )][DBLP]


  79. Advanced Data Terms for Variational Optic Flow Estimation. [Citation Graph (, )][DBLP]


  80. Variational Optical Flow from Alternate Exposure Images. [Citation Graph (, )][DBLP]


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