@article {goldluecke2014,
	title = {A super-resolution framework for high-accuracy multiview reconstruction},
	journal = {Int. J. Comp. Vision},
	volume = {106},
	year = {2014},
	pages = {172--191},
	doi = {10.1007/s11263-013-0654-8},
	author = {Bastian Goldl{\"u}cke and M. Aubry and K. Kolev and Daniel Cremers}
}
@article {GSC13:vml,
	title = {Tight convex relaxations for vector-valued labeling},
	journal = {SIAM Journal on Imaging Sciences},
	year = {2013},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@article {GSC12:vtv,
	title = {The natural vectorial total variation which arises from geometric measure theory},
	journal = {SIAM Journal on Imaging Sciences},
	year = {2012},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@article {goldluecke_12_natural,
	title = {The Natural Vectorial Total Variation which Arises from Geometric
Measure Theory},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {5},
	year = {2012},
	note = {1},
	pages = {537-563},
	doi = {10.1137/110823766},
	author = {Bastian Goldl{\"u}cke and E. Strekalovskiy and Daniel Cremers}
}
@conference {Toppe2011,
	title = {Image-based 3D modeling via cheeger sets},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6492 LNCS},
	number = {PART 1},
	year = {2011},
	pages = {53{\textendash}64},
	abstract = {We propose a novel variational formulation for generating 3D models of objects from a single view. Based on a few user scribbles in an image, the algorithm automatically extracts the object silhouette and subsequently determines a 3D volume by minimizing the weighted surface area for a fixed user-specified volume. The respective energy can be efficiently minimized by means of convex relaxation techniques, leading to visually pleasing smooth surfaces within a matter of seconds. In contrast to existing techniques for single-view reconstruction, the proposed method is based on an implicit surface representation and a transparent optimality criterion, assuring high-quality 3D models of arbitrary topology with a minimum of user input. {\textcopyright} 2011 Springer-Verlag Berlin Heidelberg.},
	isbn = {9783642193149},
	issn = {03029743},
	doi = {10.1007/978-3-642-19315-6_5},
	author = {T{\"o}ppe, Eno and Oswald, Martin R and Daniel Cremers and Carsten Rother}
}
@conference {Breitenreicher-Schnoerr09a,
	title = {Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009)},
	volume = {5681},
	year = {2009},
	pages = {274-287},
	publisher = {Springer},
	organization = {Springer},
	url = {http://www.springerlink.com/content/1470n7577713069q/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr},
	editor = {Daniel Cremers and Boykov, Y. and Schmidt, F. R. and Blake, A.}
}
@conference {Breitenreicher-Schnoerr09a,
	title = {Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009)},
	series = {LNCS},
	volume = {5681},
	year = {2009},
	pages = {274-287},
	publisher = {Springer},
	organization = {Springer},
	url = {http://www.springerlink.com/content/1470n7577713069q/},
	author = {Breitenreicher, Dirk and Christoph Schn{\"o}rr},
	editor = {Daniel Cremers and Boykov, Y. and Blake, A. and Schmidt, F. R.}
}
@article {Cremers-et-al-06,
	title = {Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation},
	journal = {ijcv},
	volume = {66},
	number = {1},
	year = {2006},
	pages = {67-81},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr}
}
@incollection {Bergtholdt-et-al-05,
	title = {Variational Segmentation with Shape Priors},
	year = {2005},
	pages = {147-160},
	publisher = {Springer},
	chapter = {9},
	author = {Bergtholdt, Martin and Daniel Cremers and Christoph Schn{\"o}rr},
	editor = {Paragios, N. and Chen, Y. and Faugeras, O.}
}
@conference {Cremers-et-al-04,
	title = {Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation},
	booktitle = {Computer Vision {\textendash} ECCV 2004},
	series = {lncs},
	volume = {3024},
	year = {2004},
	pages = {74-86},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Pajdla, T. and Matas, J.}
}
@article {Keuchel-et-al-02a,
	title = {Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming},
	volume = {25},
	number = {11},
	year = {2003},
	pages = {1364{\textendash}1379},
	author = {Keuchel, J. and Schn{\"o}rr, C. and Schellewald, C. and Daniel Cremers}
}
@article {Cremers-et-al-02c,
	title = {Shape Statistics in Kernel Space for Variational Image Segmentation},
	journal = {Pattern Recognition},
	volume = {36},
	number = {9},
	year = {2003},
	pages = {1929{\textendash}1943},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Cremers-et-al-02c,
	title = {Shape Statistics in Kernel Space for Variational Image Segmentation},
	journal = {Pattern Recognition},
	volume = {36},
	number = {9},
	year = {2003},
	pages = {1929--1943},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr}
}
@article {Cremers-Schnoerr-02d,
	title = {Statistical Shape Knowledge in Variational Motion Segmentation},
	journal = {Image and Vision Comp.},
	volume = {21},
	number = {1},
	year = {2003},
	pages = {77-86},
	author = {Daniel Cremers and Christoph Schn{\"o}rr}
}
@conference {Cremers-Sochen-Schnoerr-03a,
	title = {Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling},
	booktitle = {Scale Space Methods in Computer Vision},
	volume = {2695},
	year = {2003},
	pages = {388--400},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@conference {Cremers-Sochen-Schnoerr-03a,
	title = {Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling},
	booktitle = {Scale Space Methods in Computer Vision},
	series = {LNCS},
	volume = {2695},
	year = {2003},
	pages = {388{\textendash}400},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Sochen, Nir and Christoph Schn{\"o}rr},
	editor = {Griffin, L.D. and Lillholm, M.}
}
@article {Cremers-et-al-02b,
	title = {Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford{\textendash}Shah functional},
	journal = {Int. J. Computer Vision},
	volume = {50},
	number = {3},
	year = {2002},
	pages = {295{\textendash}313},
	author = {Daniel Cremers and Tischh{\"a}user, Florian and Weickert, Joachim and Christoph Schn{\"o}rr}
}
@conference {Cremers-Schnoerr-02,
	title = {Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {472{\textendash}480},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Daniel Cremers and Christoph Schn{\"o}rr},
	editor = {van Gool, L.}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision {\textendash} ECCV 2002)},
	series = {lncs},
	volume = {2351},
	year = {2002},
	pages = {93{\textendash}108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Nielsen, M. and Johansen, P.}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision -- ECCV 2002)},
	volume = {2351},
	year = {2002},
	pages = {93--108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Johansen, P. and Nielsen, M.}
}
@conference {Keuchel-et-al-02b,
	title = {Unsupervised Image Partitioning with Semidefinite Programming},
	booktitle = {Pattern Recognition, Proc. 24th DAGM Symposium},
	series = {lncs},
	volume = {2449},
	year = {2002},
	pages = {141{\textendash}149},
	publisher = {Springer},
	organization = {Springer},
	address = {Z{\"u}rich, Switzerland},
	author = {Keuchel, J. and Schn{\"o}rr, C. and Schellewald, C. and Daniel Cremers},
	editor = {van Gool, L.}
}
@conference {Keuchel-et-al-01a,
	title = {Convex Relaxations for Binary Image Partitioning and Perceptual Grouping},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {353{\textendash}360},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Keuchel, J. and Schellewald, C. and Daniel Cremers and Schn{\"o}rr, C.},
	editor = {Radig, B. and Florczyk, S.}
}
@conference {Cremers-et-al-01a,
	title = {Diffusion{\textendash}Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework},
	booktitle = {IEEE First Workshop on Variational and Level Set Methods in Computer Vision},
	year = {2001},
	pages = {237{\textendash}244},
	publisher = {IEEE Comp. Soc.},
	organization = {IEEE Comp. Soc.},
	address = {Vancouver, Canada},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@techreport {Heiler-et-al-02,
	title = {Efficient Feature Subset Selection for Support Vector Machines},
	number = {21/2001},
	year = {2001},
	note = {submitted},
	month = {Oct.},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Heiler, M. and Daniel Cremers and Schn{\"o}rr, C.}
}
@conference {Cremers-et-al-01b,
	title = {Nonlinear Shape Statistics via Kernel Spaces},
	booktitle = {Mustererkennung 2001},
	volume = {2191},
	year = {2001},
	pages = {269--276},
	publisher = {Springer},
	organization = {Springer},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {B. Radig and S. Florczyk}
}
@conference {Cremers-et-al-01b,
	title = {Nonlinear Shape Statistics via Kernel Spaces},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {269{\textendash}276},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Radig, B. and Florczyk, S.}
}
@conference {Cremers-et-al-00a,
	title = {Diffusion Snakes Using Statistical Shape Knowledge},
	booktitle = {Proc. Algebraic Frames for the Perception-Action Cycle},
	series = {lncs},
	volume = {1888},
	year = {2000},
	month = {Sept. 10-11},
	pages = {164{\textendash}174},
	publisher = {Springer},
	organization = {Springer},
	address = {Kiel},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim and Schellewald, Christian},
	editor = {Sommer, G. and Zeevi, Y.}
}
@conference {Cremers-et-al-00b,
	title = {Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes},
	booktitle = {3rd Workshop on Dynamic Perception},
	series = {Proc. in Artificial Intelligence},
	volume = {9},
	year = {2000},
	pages = {117{\textendash}122},
	publisher = {Akad. Verlagsges.},
	organization = {Akad. Verlagsges.},
	address = {Berlin, Germany},
	author = {Daniel Cremers and Christoph Schn{\"o}rr and Weickert, Joachim and Schellewald, Christian},
	editor = {Baratoff, G. and Neumann, H.}
}
