Persönlicher Status und Werkzeuge

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Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
Books
2014
Computer Vision: ACCV 2014 (Editors: D. Cremers, I. Reid, H. Saito, M.-S. Yang), Springer, volume 9003-9007, 2014. [bib]
2011
Stereoscopic Scene Flow for 3D Motion Analysis (A. Wedel, D. Cremers), Springer, 2011. [bib]
2010
Video Processing and Computational Video (Editors: D. Cremers, M. Magnor, M. R. Oswald, L. Zelnik-Manor), Springer, volume 7082, 2010. [bib]
2009
Statistical and Geometrical Approaches to Visual Motion Analysis (Editors: D. Cremers, B. Rosenhahn, A. L. Yuille, F. R. Schmidt), Springer, volume 5604, 2009. [bib]
Energy Minimization Methods for Computer Vision and Pattern Recognition (EMMCVPR) (Editors: D. Cremers, Y. Boykov, A. Blake, F. R. Schmidt), Springer, volume 5681, 2009. [bib]
2007
Energy Minimization Methods for Computer Vision and Pattern Recognition (EMMCVPR) (Editors: S.-C. Zhu, A. Yuille, D. Cremers, Y. Wang), Springer, volume 4679, 2007. [bib]
Books Book Chapters Journal Articles Conference and Workshop Papers PhD Thesis Other Publications 
Book Chapters
2016
Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence (M. Vestner, E. Rodolà, T. Windheuser, Rota Bulo S. Bulò, D. Cremers), Chapter in Perspectives in Shape Analysis, Springer, 2016. [bib]
2013
Moment Constraints in Convex Optimization for Segmentation and Tracking (M. Klodt, F. Steinbruecker, D. Cremers), Chapter in Advanced Topics in Computer Vision, Springer, 2013. [bib] [pdf]
2012
A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter (M. Schikora, W. Koch, R. L. Streit, D. Cremers), Chapter in Advances in Intelligent Signal Processing and Data Mining, Springer-Verlag Berlin Heidelberg, 2012. [bib] [pdf]
2011
Image Segmentation with Shape Priors: Explicit Versus Implicit Representations (D. Cremers), Chapter in Handbook of Mathematical Methods in Imaging, Springer, 2011. [bib] [pdf]
Convex Relaxation Techniques for Segmentation, Stereo and Multiview Reconstruction (D. Cremers, T. Pock, K. Kolev, A. Chambolle), Chapter 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
2016
Bayesian Inference of Bijective Non-Rigid Shape Correspondence (M. Vestner, R. Litman, A. Bronstein, E. Rodola, D. Cremers), In arXiv preprint arXiv:1607.03425, 2016. ([slides]) [bib] [pdf]
Non-Rigid Puzzles (O. Litany, E. Rodola, A. M. Bronstein, M. M. Bronstein, D. Cremers), In Computer Graphics Forum, Wiley, volume 35, 2016. [bib] [pdf]Received the Best Paper Award at SGP 2016
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (V. Golkov, A. Dosovitskiy, J. I. Sperl, M. I. Menzel, M. Czisch, P. Sämann, T. Brox, D. Cremers), In IEEE Transactions on Medical Imaging, volume 35, 2016. [bib] [pdf]Special Issue on Deep Learning
Anisotropic Diffusion Descriptors (D. Boscaini, J. Masci, E. Rodola, M. M. Bronstein, D. Cremers), In Computer Graphics Forum - Proc. EUROGRAPHICS, Wiley, volume 35, 2016. [bib] [pdf]
Consistent Partial Matching of Shape Collections via Sparse Modeling (L. Cosmo, E. Rodola, A. Albarelli, F. Memoli, D. Cremers), In Computer Graphics Forum, Wiley, 2016. [bib] [pdf]
Partial Functional Correspondence (E. Rodola, L. Cosmo, M. M. Bronstein, A. Torsello, D. Cremers), In Computer Graphics Forum, Wiley, 2016. [bib] [pdf]
2015
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings (T. Möllenhoff, E. Strekalovskiy, M. Möller, D. Cremers), In SIAM Journal on Imaging Sciences, volume 8, 2015. [bib] [pdf]
Realistic Photometric Stereo Using Partial Differential Irradiance Equation Ratios (R. Mecca, E. Rodola, D. Cremers), In Computers and Graphics, Elsevier, volume 51, 2015. [bib] [pdf] [doi]
A Simple and Effective Relevance-based Point Sampling for 3D Shapes (E. Rodola, A. Albarelli, D. Cremers, A. Torsello), In Pattern Recognition Letters, Elsevier, volume 59, 2015. [bib] [pdf] [code]
Field phenotyping of grapevine growth using dense stereo reconstruction (M. Klodt, K. Herzog, R. Töpfer, D. Cremers), In BMC Bioinformatics, volume 16, 2015. [bib]
Car detection by fusion of HOG and causal MRF (S. Madhogaria, P. M. Baggenstoss, M. Schikora, W. Koch, D. Cremers), In IEEE T. on Aerospace and Electronic Systems, volume 51, 2015. [bib]
The Role of Diffusion in Figure Hunt Games (J. Diebold, S. Tari, D. Cremers), In Journal of Mathematical Imaging and Vision, Springer, volume 52, 2015. [bib] [pdf] [doi]
Midrange Geometric Interactions for Semantic Segmentation (J. Diebold, C. Nieuwenhuis, D. Cremers), In International Journal of Computer Vision, Springer US, 2015. [bib] [pdf] [doi]
2014
Robust Region Detection via Consensus Segmentation of Deformable Shapes (E. Rodola, S. Rota Bulo, D. Cremers), In Computer Graphics Forum, Wiley, volume 33, 2014. [bib] [pdf] [code]
Scale-Aware Navigation of a Low-Cost Quadrocopter with a Monocular Camera (J. Engel, J. Sturm, D. Cremers), In Robotics and Autonomous Systems (RAS), volume 62, 2014. [bib] [pdf]
Convex Relaxation of Vectorial Problems with Coupled Regularization (E. Strekalovskiy, A. Chambolle, D. Cremers), In SIAM Journal on Imaging Sciences, volume 7, 2014. [bib] [pdf]
A Super-resolution Framework for High-Accuracy Multiview Reconstruction (B. Goldluecke, M. Aubry, K. Kolev, D. Cremers), In International Journal of Computer Vision, volume 106, 2014. [bib] [pdf]
2013
Introduction to the special issue on visual understanding and applications with RGB-D cameras (Z. Liu, M. Beetz, D. Cremers, J. Gall, W. Li, D. Pangercic, J. Sturm, Y.-W. Tai), In Journal of Visual Communication and Image Representation (JVCI), 2013. [bib]
3D Mapping with an RGB-D Camera (F. Endres, J. Hess, J. Sturm, D. Cremers, W. Burgard), In IEEE Transactions on Robotics (T-RO), volume 30, 2013. [bib] [pdf]
Tight Convex Relaxations for Vector-Valued Labeling (B. Goldluecke, E. Strekalovskiy, D. Cremers), In SIAM Journal on Imaging Sciences, volume 6, 2013. [bib] [pdf]
A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model (C. Nieuwenhuis, E. Toeppe, D. Cremers), In International Journal of Computer Vision, volume 104, 2013. (Code available) [bib] [pdf]
Spatially Varying Color Distributions for Interactive Multi-Label Segmentation (C. Nieuwenhuis, D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 35, 2013. (Code available) [bib] [pdf]
2012
Total Cyclic Variation and Generalizations (D. Cremers, E. Strekalovskiy), In Journal of Mathematical Imaging and Vision, volume 47, 2012. [bib] [pdf]
An image classification approach to analyze the suppression of plant immunity by the human pathogen Salmonella Typhimurium (M. Schikora, B. Neupane, S. Madhogaria, W. Koch, D. Cremers, H. Hirt, K.-H. Kogel, A. Schikora), In BMC Bioinformatics, volume 13, 2012. [bib] [pdf]
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, volume 5, 2012. [bib] [pdf]
Image segmentation with one shape prior - A template-based formulation (S. Chen, D. Cremers, R. J. Radke), In Image and Vision Computing, volume 30, 2012. [bib] [pdf]
Optimal Solutions for Semantic Image Decomposition (D. Cremers), In Image and Vision Computing, volume 30, 2012. [bib] [pdf]
A linear framework for region-based image segmentation and inpainting involving curvature penalization (T. Schoenemann, F. Kahl, S. Masnou, D. Cremers), In International Journal of Computer Vision, volume 99, 2012. [bib] [pdf]
A Coding Cost Framework for Super-resolution Motion Layer Decomposition (T. Schoenemann, D. Cremers), In IEEE Transactions on Image Processing, volume 21, 2012. [bib] [pdf]
A Convex Approach to Minimal Partitions (A. Chambolle, D. Cremers, T. Pock), In SIAM Journal on Imaging Sciences, volume 5, 2012. [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]
The Elastic Ratio: Introducing Curvature into Ratio-Based Globally Optimal Image Segmentation (T. Schoenemann, S. Masnou, D. Cremers), In IEEE Transactions on Image Processing, volume 20, 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]
Large-Scale Integer Linear Programming for Orientation-Preserving 3D Shape Matching (T. Windheuser, U. Schlickewei, F. R. Schmidt, D. Cremers), In Computer Graphics Forum (Proceedings Symposium Geometry Processing), Eurographics, volume 30, 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, volume 32, 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
2016
Autonomous Exploration with a Low-Cost Quadrocopter using Semi-Dense Monocular SLAM (L. von Stumberg, V. Usenko, J. Engel, J. Stückler, D. Cremers), In arXiv:1609.07835, 2016. [bib] [pdf]
De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors (M. Dzitsiuk, J. Sturm, R. Maier, L. Ma, D. Cremers), In arXiv:1609.08267, 2016. ([video]) [bib] [pdf]
A Convex Solution to Spatially-Regularized Correspondence Problems (T. Windheuser, D. Cremers), In European Conference on Computer Vision (ECCV), 2016. [bib] [pdf]
FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture (C. Hazirbas, L. Ma, C. Domokos, D. Cremers), In Asian Conference on Computer Vision, 2016. ([code]) [bib] [pdf]
Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding (I. Chiotellis, R. Triebel, T. Windheuser, D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([code]) [bib] [pdf]
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies (E. Laude, T. Möllenhoff, M. Moeller, J. Lellmann, D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([supp] [code]) [bib] [pdf]
Direct Sparse Odometry (J. Engel, V. Koltun, D. Cremers), In arXiv:1607.02565, 2016. [bib] [pdf]
A Photometrically Calibrated Benchmark For Monocular Visual Odometry (J. Engel, V. Usenko, D. Cremers), In arXiv:1607.02555, 2016. [bib] [pdf]
CPA-SLAM: Consistent Plane-Model Alignment for Direct RGB-D SLAM (L. Ma, C. Kerl, J. Stueckler, D. Cremers), In Int. Conf. on Robotics and Automation, 2016. (to appear) [bib] [pdf]
Sublabel-Accurate Relaxation of Nonconvex Energies (T. Möllenhoff, E. Laude, M. Moeller, J. Lellmann, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([supp] [code]) [bib] [pdf]Oral Presentation, Received the Best Paper Honorable Mention Award at CVPR 2016
SHREC’16: Partial Matching of Deformable Shapes (L. Cosmo, E. Rodola, M. M. Bronstein, A. Torsello, D. Cremers, Y. Sahillioglu), In Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016. (to appear) [bib] [pdf]
SHREC’16: Matching of Deformable Shapes with Topological Noise (Z. Lähner, E. Rodola, M. M. Bronstein, D. Cremers, O. Burghard, L. Cosmo, A. Dieckmann, R. Klein, Y. Sahillioglu), In Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016. (to appear) [bib] [pdf]
Stream-based Active Learning for Efficient and Adaptive Classification of 3D Objects (A. Narr, R. Triebel, D. Cremers), In Int. Conf. on Robotics and Automation, 2016. (to appear) [bib]
Direct Visual-Inertial Odometry with Stereo Cameras (V. Usenko, J. Engel, J. Stueckler, D. Cremers), In Int. Conf. on Robotics and Automation, 2016. [bib] [pdf] [video]
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching (Z. Lähner, E. Rodola, F. R. Schmidt, M. M. Bronstein, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [bib] [pdf]
Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images (V. Golkov, M. J. Skwark, A. Golkov, A. Dosovitskiy, T. Brox, J. Meiler, D. Cremers), In Annual Conference on Neural Information Processing Systems (NIPS), 2016. [bib]Oral Presentation (acceptance rate: under 2%)
Model-Free Novelty-Based Diffusion MRI (V. Golkov, T. Sprenger, J. I. Sperl, M. I. Menzel, M. Czisch, P. Sämann, D. Cremers), In IEEE International Symposium on Biomedical Imaging (ISBI), 2016. [bib] [pdf]
2015
Model-Based Tracking at 300Hz using Raw Time-of-Flight Observations (J. Stühmer, S. Nowozin, A. Fitzgibbon, R. Szeliski, T. Perry, S. Acharya, D. Cremers, J. Shotton), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video]) [bib] [pdf]
CAPTCHA Recognition with Active Deep Learning (F. Stark, C. Hazirbas, R. Triebel, D. Cremers), In GCPR Workshop on New Challenges in Neural Computation, 2015. ([code]) [bib] [pdf]
Entropy Minimization for Convex Relaxation Approaches (M. Souiai, M. R. Oswald, Y. Kee, J. Kim, M. Pollefeys, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015. (accepted) [bib] [pdf]
Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras (C. Kerl, J. Stueckler, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video][supplementary][datasets]) [bib] [pdf]
Point-wise Map Recovery and Refinement from Functional Correspondence (E. Rodola, M. Moeller, D. Cremers), In Proceedings Vision, Modeling and Visualization (VMV), 2015. [bib] [pdf]Received the Best Paper Award
Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images (M. Jaimez, M. Souiai, J. Stueckler, J. Gonzalez-Jimenez, D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2015. ([video]) [bib] [pdf]
Reconstructing Street-Scenes in Real-Time From a Driving Car (V. Usenko, J. Engel, J. Stueckler, D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2015. [bib] [pdf]
Super-Resolution Keyframe Fusion for 3D Modeling with High-Quality Textures (R. Maier, J. Stueckler, D. Cremers), In International Conference on 3D Vision (3DV), 2015. [bib] [pdf]
Semi-supervised Online Learning for Efficient Classification of Objects in 3D Data Streams (Y. Tao, R. Triebel, D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2015. (to appear) [bib] [pdf]
Large-Scale Direct SLAM for Omnidirectional Cameras (D. Caruso, J. Engel, D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2015. [bib] [pdf] [video]
Large-Scale Direct SLAM with Stereo Cameras (J. Engel, J. Stueckler, D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2015. [bib] [pdf] [video]
SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports (R. Triebel, K. Arras, R. Alami, L. Beyer, S. Breuers, R. Chatila, M. Chetouani, D. Cremers, V. Evers, M. Fiore, H. Hung, O. A. Islas Ramírez, M. Joosse, H. Khambhaita, T. Kucner, B. Leibe, A. J. Lilienthal, T. Linder, M. Lohse, M. Magnusson, B. Okal, L. Palmieri, U. Rafi, M. van Rooij, L. Zhang), In Proc. Field and Service Robotics (FSR), 2015. [bib] [pdf]
Holistic Image Reconstruction for Diffusion MRI (V. Golkov, J. M. Portegies, A. Golkov, R. Duits, D. Cremers), In MICCAI 2015 Workshop on Computational Diffusion MRI, Springer, 2015. [bib] [pdf]Oral Presentation and Book Chapter
FlowNet: Learning Optical Flow with Convolutional Networks (A. Dosovitskiy, P. Fischer, E. Ilg, P. Häusser, C. Hazirbas, V. Golkov, P. van der Smagt, D. Cremers, T. Brox), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video],[code]) [bib] [pdf] [doi]
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (V. Golkov, A. Dosovitskiy, P. Sämann, J. I. Sperl, T. Sprenger, M. Czisch, M. I. Menzel, P. A. Gómez, A. Haase, T. Brox, D. Cremers), In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015. [bib] [pdf]
Active Online Confidence Boosting for Efficient Object Classification (D. Mund, R. Triebel, D. Cremers), In Proc. IEEE International Conference on Robotics and Automation (ICRA), 2015. [bib] [pdf]
Adopting an Unconstrained Ray Model in Light-field Cameras for 3D Shape Reconstruction (F. Bergamasco, A. Albarelli, L. Cosmo, A. Torsello, E. Rodola, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [bib] [pdf]
Analysis of Surface Parametrizations for Modern Photometric Stereo Modeling (R. Mecca, E. Rodola, D. Cremers), In International Conference on Quality Control by Artificial Vision (QCAV), 2015. [bib] [pdf]
A Fast Projection Method for Connectivity Constraints in Image Segmentation (J. Stühmer, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (X.-C. Tai, E. Bae, T. F. Chan, M. Lysaker, eds.), 2015. [bib] [pdf]
A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow (M. Jaimez, M. Souiai, J. Gonzalez-Jimenez, D. Cremers), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2015. ([video]) [bib] [pdf]
Low Rank Priors for Color Image Regularization (T. Möllenhoff, E. Strekalovskiy, M. Möller, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2015. [bib] [pdf]
Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation (C. Hazirbas, J. Diebold, D. Cremers), In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code]) [bib] [pdf] [doi]Oral Presentation
Interactive Multi-label Segmentation of RGB-D Images (J. Diebold, N. Demmel, C. Hazirbas, M. Möller, D. Cremers), In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code]) [bib] [pdf] [doi]
Learning Nonlinear Spectral Filters for Color Image Reconstruction (M. Moeller, J. Diebold, G. Gilboa, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015. [bib] [pdf]
2014
Dense Elastic 3D Shape Matching (F. R. Schmidt, T. Windheuser, U. Schlickewei, D. Cremers), In Global Optimization Methods, Springer, volume 8293, 2014. [bib] [pdf]
Towards Illumination-invariant 3D Reconstruction using ToF RGB-D Cameras (C. Kerl, M. Souiai, J. Sturm, D. Cremers), In International Conference on 3D Vision (3DV), 2014. ([supplementary]) [bib] [pdf]
INS-Camera Calibration without Ground Control Points (D. Bender, M. Schikora, J. Sturm, D. Cremers), In 9th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014. [bib] [pdf]
Learning Similarities for Rigid and Non-Rigid Object Detection (A. Kanezaki, E. Rodola, D. Cremers, T. Harada), In International Conference on 3D Vision (3DV), 2014. [bib] [pdf]
Environment-adaptive Learning: How Clustering Helps to Obtain Good Training Data (S. Debnath, S. S. Baishya, R. Triebel, V. Dutt, D. Cremers), In KI 2014: Advances in Artificial Intelligence (Carsten Lutz, Michael Thielscher, eds.), Springer, 2014. [bib] [pdf]
Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes (R. Triebel, J. Stühmer, M. Souiai, D. Cremers), In German Conference on Pattern Recognition, 2014. [bib] [pdf]
Visual-Inertial Navigation for a Camera-Equipped 25g Nano-Quadrotor (O. Dunkley, J. Engel, J. Sturm, D. Cremers), In IROS2014 Aerial Open Source Robotics Workshop, 2014. [bib] [pdf] [video]
Anisotropic Laplace-Beltrami Operators for Shape Analysis (M. Andreux, E. Rodola, M. Aubry, D. Cremers), In Sixth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), 2014. [bib] [pdf]
対応点集合類似度学習を用いた剛体・非剛体物体検出 [Taiou tenshuugou ruijido gakushuu wo mochiita goutai-higoutai buttai kenshutsu] (A. Kanezaki, E. Rodola, D. Cremers, T. Harada), In 信学技報 - Pattern Recognition and Media Understanding (PRMU), volume 114, 2014. [bib] [pdf]
Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional (E. Strekalovskiy, D. Cremers), In European Conference on Computer Vision (ECCV), 2014. (Code available) [bib] [pdf] [video]
Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction (M. R. Oswald, J. Stühmer, D. Cremers), In European Conference on Computer Vision (ECCV), 2014. [bib] [pdf] [video]
Co-Sparse Textural Similarity for Interactive Segmentation (C. Nieuwenhuis, S. Hawe, M. Kleinsteuber, D. Cremers), In European Conference on Computer Vision (ECCV), 2014. [bib] [pdf]
Surface Normal Integration for Convex Space-time Multi-view Reconstruction (M. R. Oswald, D. Cremers), In British Machine Vision Conference (BMVC), 2014. [bib] [pdf] [video]
Spatial and Temporal Interpolation of Multi-View Image Sequences (T. Gurdan, M. R. Oswald, D. Gurdan, D. Cremers), In German Conference on Pattern Recognition (GCPR), volume 36, 2014. [bib] [pdf] [video]
Submap-based Bundle Adjustment for 3D Reconstruction from RGB-D Data (R. Maier, J. Sturm, D. Cremers), In German Conference on Pattern Recognition (GCPR), 2014. ([slides]) [bib] [pdf]
Flow and Color Inpainting for Video Completion (M. Strobel, J. Diebold, D. Cremers), In German Conference on Pattern Recognition (GCPR), 2014. [bib] [pdf] [doi]Oral Presentation
Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis (T. Windheuser, M. Vestner, E. Rodola, R. Triebel, D. Cremers), In British Machine Vision Conference (BMVC), 2014. [bib] [pdf]
Semi-Dense Visual Odometry for AR on a Smartphone (T. Schöps, J. Engel, D. Cremers), In International Symposium on Mixed and Augmented Reality, 2014. [bib] [pdf] [video]Best Short Paper Award
LSD-SLAM: Large-Scale Direct Monocular SLAM (J. Engel, T. Schöps, D. Cremers), In European Conference on Computer Vision (ECCV), 2014. [bib] [pdf] [video]Oral Presentation
Collision Avoidance for Quadrotors with a Monocular Camera (H. Alvarez, L.M. Paz, J. Sturm, D. Cremers), In Proc. of The 12th International Symposium on Experimental Robotics (ISER), 2014. [bib] [pdf]
Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation (Y. Kee, M. Souiai, D. Cremers, J. Kim), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [bib] [pdf]
Dense Non-Rigid Shape Correspondence Using Random Forests (E. Rodola, S. Rota Bulo, T. Windheuser, M. Vestner, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [bib] [pdf] [code]
Volumetric 3D Mapping in Real-Time on a CPU (F. Steinbruecker, J. Sturm, D. Cremers), In Int. Conf. on Robotics and Automation, 2014. [bib] [pdf]
Event-based 3D SLAM with a depth-augmented dynamic vision sensor (D. B. Adrian D. Cremers J. Conrad D. Weikersdorfer), In Int. Conf. on Robotics and Automation, 2014. [bib] [pdf]
Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate (V. Golkov, J.I. Sperl, M.I. Menzel, T. Sprenger, E.T. Tan, L. Marinelli, C.J. Hardy, A. Haase, D. Cremers), In MICCAI 2014 Workshop on Computational Diffusion MRI, Springer, 2014. [bib] [pdf]Oral Presentation and Book Chapter
Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using 6-D Compressed Sensing (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers, J.I. Sperl), In Organization for Human Brain Mapping (OHBM) Annual Meeting, 2014. [bib]
Semi-Joint Reconstruction for Diffusion MRI Denoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images (V. Golkov, M.I. Menzel, T. Sprenger, A. Haase, D. Cremers, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014. [bib]
Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014. [bib]
2013
Relaxations for Minimizing Metric Distortion and Elastic Energies for 3D Shape Matching (D. Cremers, E. Rodola, T. Windheuser), In Actes des recontres du CIRM: Courbure discrete: théorie et applications, volume 3, 2013. [bib] [pdf]
Interactive Person Following and Gesture Recognition with a Flying Robot (T. Naseer, J. Sturm, D. Cremers), In Proc. of the Assistance and Service Robotics Workshop (ASROB) at the IEEE. Int. Conf. on Intelligent Robots and Systems (IROS), 2013. [bib] [pdf]
Large-Scale Multi-Resolution Surface Reconstruction from RGB-D Sequences (F. Steinbruecker, C. Kerl, J. Sturm, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. [bib] [pdf]
A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction (M. R. Oswald, D. Cremers), In ICCV Workshop on Dynamic Shape Capture and Analysis (4DMOD), 2013. [bib] [pdf]
Fast and Accurate Large-scale Stereo Reconstruction using Variational Methods (G. Kuschk, D. Cremers), In ICCV Workshop on Big Data in 3D Computer Vision, 2013. [bib] [pdf]
Tree Shape Priors with Connectivity Constraints using Convex Relaxation on General Graphs (J. Stühmer, P. Schröder, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. [bib] [pdf]Oral Presentation
Proportion Priors for Image Sequence Segmentation (C. Nieuwenhuis, E. Strekalovskiy, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. (oral presentation) [bib] [pdf] [video]
Total Variation Regularization for Functions with Values in a Manifold (J. Lellmann, E. Strekalovskiy, S. Koetter, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. [bib] [pdf]
Elastic Net Constraints for Shape Matching (E. Rodola, A. Torsello, T. Harada, Y. Kuniyoshi, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. [bib] [pdf] [code]
Semi-Dense Visual Odometry for a Monocular Camera (J. Engel, J. Sturm, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. [bib] [pdf] [video]
Efficient Shape Matching using Vector Extrapolation (E. Rodola, T. Harada, Y. Kuniyoshi, D. Cremers), In British Machine Vision Conference (BMVC), 2013. [bib] [pdf]
CopyMe3D: Scanning and Printing Persons in 3D (J. Sturm, E. Bylow, F. Kahl, D. Cremers), In German Conference on Pattern Recognition (GCPR), 2013. [bib] [pdf]
Graph-based bundle adjustment for INS-camera calibration (D. Bender, M. Schikora, J. Sturm, D. Cremers), In Unmanned Aerial Vehicle in Geomatics (UAV-g), 2013. [bib] [pdf]Best research paper award
Dense Tracking and Mapping with a Quadrocopter (J. Sturm, E. Bylow, F. Kahl, D. Cremers), In Unmanned Aerial Vehicle in Geomatics (UAV-g), 2013. [bib] [pdf]
Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images (M. Klodt, J. Sturm, D. Cremers), In German Conference on Pattern Recognition (GCPR), 2013. [bib] [pdf]
FollowMe: Person Following and Gesture Recognition with a Quadrocopter (T. Naseer, J. Sturm, D. Cremers), In Proc. of the Int. Conf. on Intelligent Robot Systems (IROS), 2013. [bib] [pdf]
Dense Visual SLAM for RGB-D Cameras (C. Kerl, J. Sturm, D. Cremers), In Proc. of the Int. Conf. on Intelligent Robot Systems (IROS), 2013. [bib] [pdf]
Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints (T. Möllenhoff, C. Nieuwenhuis, E. Toeppe, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013. [bib] [pdf]
Performance Evaluation of Narrow Band Methods for Variational Stereo (F. Stangl, M. Souiai, D. Cremers), In 35th German Conference on Pattern Recognition (GCPR), 2013. [bib] [pdf]
A Co-occurrence Prior for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013. [bib] [pdf]
Direct Camera Pose Tracking and Mapping With Signed Distance Functions (E. Bylow, J. Sturm, C. Kerl, F. Kahl, D. Cremers), In Demo Track of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at the Robotics: Science and Systems Conference (RSS), 2013. [bib] [pdf]
Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions (E. Bylow, J. Sturm, C. Kerl, F. Kahl, D. Cremers), In Robotics: Science and Systems Conference (RSS), 2013. [bib] [pdf]
Depth-adative Supervoxels for RGB-D Video Segmentation (A. Schick D. Cremers D. Weikersdorfer), In Proceedings of the IEEE International Conference on Image Processing, 2013. [bib] [pdf]
Volume Constraints for Single View Reconstruction (E. Toeppe, C. Nieuwenhuis, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [bib]
Robust Odometry Estimation for RGB-D Cameras (C. Kerl, J. Sturm, D. Cremers), In Int. Conf. on Robotics and Automation, 2013. [bib] [pdf]Best Vision Paper Award - Finalist
Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing (V. Golkov, T. Sprenger, M.I. Menzel, E.T. Tan, K.F. King, C.J. Hardy, L. Marinelli, D. Cremers, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013. [bib]
Corrected Joint SENSE Reconstruction, Low-Rank Constraints, and Compressed-Sensing-Accelerated Diffusion Spectrum Imaging in Denoising and Kurtosis Tensor Estimation (V. Golkov, M.I. Menzel, T. Sprenger, A. Menini, D. Cremers, J.I. Sperl), In ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure, 2013. [bib]
Reconstruction, Regularization, and Quality in Diffusion MRI Using the Example of Accelerated Diffusion Spectrum Imaging (V. Golkov, M.I. Menzel, T. Sprenger, A. Menini, D. Cremers, J.I. Sperl), In 16th Annual Meeting of the German Chapter of the ISMRM, 2013. [bib]Oral Presentation
Line-Process-Based Joint SENSE Reconstruction of Diffusion Images with Intensity Inhomogeneity Correction and Noise Non-Stationarity Correction (V. Golkov, T. Sprenger, M.I. Menzel, D. Cremers, J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013. [bib]Certificate of Merit Award
Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation (V. Golkov, T. Sprenger, A. Menini, M.I. Menzel, D. Cremers, J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013. [bib]Oral Presentation
Proximity Priors for Variational Semantic Segmentation and Recognition (J. Bergbauer, C. Nieuwenhuis, M. Souiai, D. Cremers), In ICCV Workshop on Graphical Models for Scene Understanding, 2013. [bib] [pdf] [doi]
Convex Optimization for Scene Understanding (M. Souiai, C. Nieuwenhuis, E. Strekalovskiy, D. Cremers), In ICCV Workshop on Graphical Models for Scene Understanding, 2013. [bib] [pdf]
2012
Wehrli 2.0: An Algorithm for ”Tidying up Art” (N. Ufer, M. Souiai, D. Cremers), In VISART “Where Computer Vision Meets Art” workshop, ECCV 2012, Springer, 2012. [bib] [pdf]
Evaluating Egomotion and Structure-from-Motion Approaches Using the TUM RGB-D Benchmark (J. Sturm, W. Burgard, D. Cremers), In Proc. of the Workshop on Color-Depth Camera Fusion in Robotics at the IEEE/RJS International Conference on Intelligent Robot Systems (IROS), 2012. [bib] [pdf]
Accurate Figure Flying with a Quadrocopter Using Onboard Visual and Inertial Sensing (J. Engel, J. Sturm, D. Cremers), In Proc. of the Workshop on Visual Control of Mobile Robots (ViCoMoR) at the IEEE/RJS International Conference on Intelligent Robot Systems (IROS), 2012. [bib] [pdf]
A Benchmark for the Evaluation of RGB-D SLAM Systems (J. Sturm, N. Engelhard, F. Endres, W. Burgard, D. Cremers), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012. [bib] [pdf]
Camera-Based Navigation of a Low-Cost Quadrocopter (J. Engel, J. Sturm, D. Cremers), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012. [bib] [pdf] [video]
A Convex Representation for the Vectorial Mumford-Shah Functional (E. Strekalovskiy, A. Chambolle, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [bib] [pdf]
Fast and Globally Optimal Single View Reconstruction of Curved Objects (M. R. Oswald, E. Toeppe, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [bib] [pdf]
QPBOアルゴリズムの多値化による非劣モジュラエネルギー最小化 [QPBO arugorizumu no tachika ni yoru hiretsu mojura enerugī saishōka] (T. Windheuser, H. Ishikawa, D. Cremers), In Meeting on Image Recognition and Understanding, 2012. [bib] [pdf]
Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency (T. Windheuser, H. Ishikawa, D. Cremers), In European Conference on Computer Vision (ECCV), 2012. [bib] [pdf]
Nonmetric Priors for Continuous Multilabel Optimization (E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), In European Conference on Computer Vision (ECCV), Springer, 2012. [bib] [pdf]
Real-Time Human Motion Tracking using Multiple Depth Cameras (L. Zhang, J. Sturm, D. Cremers, D. Lee), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012. [bib] [pdf]
Box-Particle PHD Filter for Multi-Target Tracking (M. Schikora, A. Gning, L. Mihaylova, D. Cremers, W. Koch), In 15th International Conference on Information Fusion (FUSION), 2012. [bib] [pdf]
Box-Particle Intensity Filter (M. Schikora, A. Gning, L. Mihaylova, D. Cremers, W. Koch, R. Streit), In 9th IET Data Fusion and Target Tracking Conference, 2012. [bib] [pdf]
A Generalized Framework for Opening Doors and Drawers in Kitchen Environments (T. Ruehr, J. Sturm, D. Pangercic, M. Beetz, D. Cremers), In Int. Conf. on Robotics and Automation, 2012. [bib] [pdf]
An Evaluation of the RGB-D SLAM System (F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers, W. Burgard), In Int. Conf. on Robotics and Automation, 2012. [bib] [pdf]
2011
A Survey on Geometry Recovery from a Single Image with Focus on Curved Object Reconstruction (M. R. Oswald, E. Toeppe, C. Nieuwenhuis, D. Cremers), In Proceedings of the 2011 Conference on Innovations for Shape Analysis: Models and Algorithms, Springer-Verlag, 2011. [bib] [pdf]
Silhouette-Based Variational Methods for Single View Reconstruction (E. Toeppe, M. R. Oswald, D. Cremers, C. Rother), In Proceedings of the 2010 international conference on Video Processing and Computational Video (D. Cremers, M. A. Magnor, M. R. Oswald, L. Zelnik-Manor, eds.), Springer-Verlag, 2011. [bib] [pdf]
Multi-object tracking via high accuracy optical flow and finite set statistics (M. Schikora, W. Koch, D. Cremers), In International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011. [bib] [pdf]
Sequential Monte Carlo Method for the iFilter (M. Schikora, W. Koch, R.L. Streit, D. Cremers), In 14th International Conference on Information Fusion (FUSION), 2011. [bib] [pdf]
Pixel-based Classification Method for Detecting Unhealthy Regions in Leaf Images (S. Madhogaria, M. Schikora, W. Koch, D. Cremers), In 6th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2011. [bib] [pdf]
Multiple Source Localization Based on Biased Bearings Using the Intensity Filter - Approach and Experimental Results (M. Schikora, M.Oispuu, W. Koch, D. Cremers), In 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011. [bib] [pdf]
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] [code]
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. (oral presentation) [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]
Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution (T. Windheuser, U. Schlickewei, F. 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. Stühmer, S. Gumhold, D. Cremers), In ECCV Workshop on Computer Vision on GPUs (CVGPU), 2010. [bib] [pdf]
Real-Time Dense Geometry from a Handheld Camera (J. Stühmer, 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 Award
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 (MICCAI), 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] [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 (MICCAI), 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]
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]
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]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]
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]
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
2013
Label Configuration Priors for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), 2013. [bib] [pdf]
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]
2000
Diffusion Snakes using statistical shape knowledge (D. Cremers, C. Schnörr, J. Weickert, C. Schellewald), 2000. [bib]
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Last edited 20.09.2011 17:00 by Quirin Lohr