| 2008 |
|---|
| 56 | EE | Werner Trobin,
Thomas Pock,
Daniel Cremers,
Horst Bischof:
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation.
DAGM-Symposium 2008: 396-405 |
| 55 | EE | Bodo Rosenhahn,
Thomas Brox,
Daniel Cremers,
Hans-Peter Seidel:
Modeling and Tracking Line-Constrained Mechanical Systems.
RobVis 2008: 98-110 |
| 54 | EE | 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) |
| 2007 |
|---|
| 53 | | Alan L. Yuille,
Song Chun Zhu,
Daniel Cremers,
Yongtian Wang:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings
Springer 2007 |
| 52 | EE | Daniel Cremers:
Nonlinear Dynamical Shape Priors for Level Set Segmentation.
CVPR 2007 |
| 51 | EE | Bodo Rosenhahn,
Thomas Brox,
Daniel Cremers,
Hans-Peter Seidel:
Online Smoothing for Markerless Motion Capture.
DAGM-Symposium 2007: 163-172 |
| 50 | EE | 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 |
| 49 | EE | Andreas Wedel,
Thomas Schoenemann,
Thomas Brox,
Daniel Cremers:
WarpCut - Fast Obstacle Segmentation in Monocular Video.
DAGM-Symposium 2007: 264-273 |
| 48 | EE | Frank R. Schmidt,
Eno Töppe,
Daniel Cremers,
Yuri Boykov:
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts.
DAGM-Symposium 2007: 446-455 |
| 47 | EE | Frank R. Schmidt,
Eno Töppe,
Daniel Cremers,
Yuri Boykov:
Efficient Shape Matching Via Graph Cuts.
EMMCVPR 2007: 39-54 |
| 46 | EE | Kalin Kolev,
Maria Klodt,
Thomas Brox,
Selim Esedoglu,
Daniel Cremers:
Continuous Global Optimization in Multiview 3D Reconstruction.
EMMCVPR 2007: 441-452 |
| 45 | EE | Christian Schmaltz,
Bodo Rosenhahn,
Thomas Brox,
Daniel Cremers,
Joachim Weickert,
Lennart Wietzke,
Gerald Sommer:
Region-Based Pose Tracking.
IbPRIA (2) 2007: 56-63 |
| 44 | EE | Thomas Brox,
Daniel Cremers:
Iterated Nonlocal Means for Texture Restoration.
SSVM 2007: 13-24 |
| 43 | EE | Thomas Brox,
Daniel Cremers:
On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional.
SSVM 2007: 203-213 |
| 42 | EE | 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 |
| 41 | EE | 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) |
| 2006 |
|---|
| 40 | EE | 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 |
| 39 | EE | Frank R. Schmidt,
Michael Clausen,
Daniel Cremers:
Shape Matching by Variational Computation of Geodesics on a Manifold.
DAGM-Symposium 2006: 142-151 |
| 38 | EE | Thomas Schoenemann,
Daniel Cremers:
Near Real-Time Motion Segmentation Using Graph Cuts.
DAGM-Symposium 2006: 455-464 |
| 37 | EE | Andreas Wedel,
Uwe Franke,
Jens Klappstein,
Thomas Brox,
Daniel Cremers:
Realtime Depth Estimation and Obstacle Detection from Monocular Video.
DAGM-Symposium 2006: 475-484 |
| 36 | EE | Thomas Brox,
Bodo Rosenhahn,
Uwe G. Kersting,
Daniel Cremers:
Nonparametric Density Estimation for Human Pose Tracking.
DAGM-Symposium 2006: 546-555 |
| 35 | EE | Kalin Kolev,
Thomas Brox,
Daniel Cremers:
Robust Variational Segmentation of 3D Objects from Multiple Views.
DAGM-Symposium 2006: 688-697 |
| 34 | EE | 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 |
| 33 | EE | Daniel Cremers,
Leo Grady:
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts.
ECCV (3) 2006: 263-274 |
| 32 | EE | Yuri Boykov,
Vladimir Kolmogorov,
Daniel Cremers,
Andrew Delong:
An Integral Solution to Surface Evolution PDEs Via Geo-cuts.
ECCV (3) 2006: 409-422 |
| 31 | EE | Bodo Rosenhahn,
Thomas Brox,
Daniel Cremers,
Hans-Peter Seidel:
A Comparison of Shape Matching Methods for Contour Based Pose Estimation.
IWCIA 2006: 263-276 |
| 30 | EE | 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 |
| 29 | EE | 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) |
| 28 | EE | Daniel Cremers:
Dynamical Statistical Shape Priors for Level Set-Based Tracking.
IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1262-1273 (2006) |
| 27 | EE | 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) |
| 26 | EE | 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) |
| 2005 |
|---|
| 25 | EE | Siddharth Manay,
Daniel Cremers,
Anthony J. Yezzi,
Stefano Soatto:
One-Shot Integral Invariant Shape Priors for Variational Segmentation.
EMMCVPR 2005: 414-426 |
| 24 | EE | Mikaël Rousson,
Daniel Cremers:
Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation.
MICCAI (2) 2005: 757-764 |
| 23 | EE | Daniel Cremers,
Gareth Funka-Lea:
Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation.
VLSM 2005: 210-221 |
| 2004 |
|---|
| 22 | EE | Hailin Jin,
Daniel Cremers,
Anthony J. Yezzi,
Stefano Soatto:
Shedding Light on Stereoscopic Segmentation.
CVPR (1) 2004: 36-42 |
| 21 | EE | 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 |
| 20 | EE | Daniel Cremers,
Nir A. Sochen,
Christoph Schnörr:
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation.
ECCV (4) 2004: 74-86 |
| 19 | EE | Daniel Cremers:
Bayesian Approaches to Motion-Based Image and Video Segmentation.
IWCM 2004: 104-123 |
| 18 | EE | Daniel Cremers,
Stefano Soatto:
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation.
International Journal of Computer Vision 62(3): 249-265 (2004) |
| 2003 |
|---|
| 17 | EE | Daniel Cremers:
A Variational Framework for Image Segmentation Combining Motion Estimation and Shape Regularization.
CVPR (1) 2003: 53-58 |
| 16 | EE | Daniel Cremers,
Alan L. Yuille:
A Generative Model Based Approach to Motion Segmentation.
DAGM-Symposium 2003: 313-320 |
| 15 | EE | Gianfranco Doretto,
Daniel Cremers,
Paolo Favaro,
Stefano Soatto:
Dynamic Texture Segmentation.
ICCV 2003: 1236-1242 |
| 14 | EE | Daniel Cremers,
Stefano Soatto:
Variational Space-Time Motion Segmentation.
ICCV 2003: 886-893 |
| 13 | EE | Daniel Cremers,
Nir A. Sochen,
Christoph Schnörr:
Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling.
Scale-Space 2003: 388-400 |
| 12 | EE | Daniel Cremers:
A Multiphase Level Set Framework for Motion Segmentation.
Scale-Space 2003: 599-614 |
| 11 | EE | 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) |
| 10 | EE | Daniel Cremers,
Christoph Schnörr:
Statistical shape knowledge in variational motion segmentation.
Image Vision Comput. 21(1): 77-86 (2003) |
| 9 | EE | Daniel Cremers,
Timo Kohlberger,
Christoph Schnörr:
Shape statistics in kernel space for variational image segmentation.
Pattern Recognition 36(9): 1929-1943 (2003) |
| 2002 |
|---|
| 8 | EE | Jens Keuchel,
Christoph Schnörr,
Christian Schellewald,
Daniel Cremers:
Unsupervised Image Partitioning with Semidefinite Programming.
DAGM-Symposium 2002: 141-149 |
| 7 | EE | Daniel Cremers,
Christoph Schnörr:
Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization.
DAGM-Symposium 2002: 472-480 |
| 6 | EE | Daniel Cremers,
Timo Kohlberger,
Christoph Schnörr:
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation.
ECCV (2) 2002: 93-108 |
| 5 | | 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) |
| 4 | EE | 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) |
| 2001 |
|---|
| 3 | EE | Daniel Cremers,
Timo Kohlberger,
Christoph Schnörr:
Nonlinear Shape Statistics via Kernel Spaces.
DAGM-Symposium 2001: 269-276 |
| 2 | EE | Jens Keuchel,
Christian Schellewald,
Daniel Cremers,
Christoph Schnörr:
Convex Relaxations for Binary Image Partitioning and Perceptual Grouping.
DAGM-Symposium 2001: 353-360 |
| 2000 |
|---|
| 1 | | Daniel Cremers,
Christoph Schnörr,
Joachim Weickert,
Christian Schellewald:
Diffusion-Snakes Using Statistical Shape Knowledge.
AFPAC 2000: 164-174 |
