@conference {7067,
	title = {Geometry-Free View Synthesis: Transformers and no 3D Priors},
	booktitle = {Proceedings of the Intl. Conf. on Computer Vision (ICCV)},
	year = {2021},
	url = {https://arxiv.org/abs/2104.07652},
	author = {Robin Rombach and Patrick Esser and Bj{\"o}rn Ommer}
}
@article {Zeilmann:2020aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {Inverse Problems},
	volume = {36},
	number = {3},
	year = {2020},
	pages = {034004 (33pp)},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {AbuAlhaija2019,
	title = {Geometric Image Synthesis},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11366 LNCS},
	year = {2019},
	pages = {85{\textendash}100},
	abstract = {The task of generating natural images from 3D scenes has been a long standing goal in computer graphics. On the other hand, recent developments in deep neural networks allow for trainable models that can produce natural-looking images with little or no knowledge about the scene structure. While the generated images often consist of realistic looking local patterns, the overall structure of the generated images is often inconsistent. In this work we propose a trainable, geometry-aware image generation method that leverages various types of scene information, including geometry and segmentation, to create realistic looking natural images that match the desired scene structure. Our geometrically-consistent image synthesis method is a deep neural network, called Geometry to Image Synthesis (GIS) framework, which retains the advantages of a trainable method, e.g., differentiability and adaptiveness, but, at the same time, makes a step towards the generalizability, control and quality output of modern graphics rendering engines. We utilize the GIS framework to insert vehicles in outdoor driving scenes, as well as to generate novel views of objects from the Linemod dataset. We qualitatively show that our network is able to generalize beyond the training set to novel scene geometries, object shapes and segmentations. Furthermore, we quantitatively show that the GIS framework can be used to synthesize large amounts of training data which proves beneficial for training instance segmentation models.},
	isbn = {9783030208752},
	issn = {16113349},
	doi = {10.1007/978-3-030-20876-9_6},
	url = {https://youtu.be/W2tFCz9xJoU},
	author = {Hassan Abu Alhaija and Mustikovela, Siva Karthik and Geiger, Andreas and Carsten Rother}
}
@article {Zeilmann:2019aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {Inverse Problems},
	year = {2019},
	url = {https://doi.org/10.1088/1361-6420/ab2772},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@article {Kostrykin:2019aa,
	title = {Globally Optimal Segmentation of Cell Nuclei in Fluoroscence Microscopy Images using Shape and Intensity Information},
	journal = {Medical Image Analysis},
	year = {2019},
	url = {https://doi.org/10.1016/j.media.2019.101536},
	author = {Kostrykin, L. and Schn{\"o}rr, C. and Rohr, K.}
}
@article {Ardizzone2019a,
	title = {Guided Image Generation with Conditional Invertible Neural Networks},
	year = {2019},
	abstract = {In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). The cINN combines the purely generative INN model with an unconstrained feed-forward network, which efficiently preprocesses the conditioning input into useful features. All parameters of the cINN are jointly optimized with a stable, maximum likelihood-based training procedure. By construction, the cINN does not experience mode collapse and generates diverse samples, in contrast to e.g. cGANs. At the same time our model produces sharp images since no reconstruction loss is required, in contrast to e.g. VAEs. We demonstrate these properties for the tasks of MNIST digit generation and image colorization. Furthermore, we take advantage of our bi-directional cINN architecture to explore and manipulate emergent properties of the latent space, such as changing the image style in an intuitive way.},
	url = {http://arxiv.org/abs/1907.02392},
	author = {Lynton Ardizzone and Carsten L{\"u}th and Kruse, Jakob and Carsten Rother and Ullrich K{\"o}the}
}
@article {Ardizzone2019,
	title = {Guided Image Generation with Conditional Invertible Neural Networks},
	year = {2019},
	abstract = {In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). The cINN combines the purely generative INN model with an unconstrained feed-forward network, which efficiently preprocesses the conditioning input into useful features. All parameters of the cINN are jointly optimized with a stable, maximum likelihood-based training procedure. By construction, the cINN does not experience mode collapse and generates diverse samples, in contrast to e.g. cGANs. At the same time our model produces sharp images since no reconstruction loss is required, in contrast to e.g. VAEs. We demonstrate these properties for the tasks of MNIST digit generation and image colorization. Furthermore, we take advantage of our bi-directional cINN architecture to explore and manipulate emergent properties of the latent space, such as changing the image style in an intuitive way.},
	url = {http://arxiv.org/abs/1907.02392},
	author = {Lynton Ardizzone and Carsten L{\"u}th and Kruse, Jakob and Carsten Rother and Ullrich K{\"o}the}
}
@conference {Zern:2018aa,
	title = {Geometric Image Labeling with Global Convex Labeling Constraints},
	booktitle = {EMMCVPR},
	series = {LNCS},
	volume = {10746},
	year = {2018},
	pages = {533{\textendash}547},
	author = {Zern, A. and Rohr, K. and Schn{\"o}rr, C.}
}
@proceedings {6309,
	title = {Geometric Image Synthesis},
	year = {2018},
	author = {Hassan Abu Alhaija and Mustikovela, S K and Geiger, A and Carsten Rother}
}
@article {Zeilmann:2018aa,
	title = {Geometric Numerical Integration of the Assignment Flow},
	journal = {preprint: arXiv},
	year = {2018},
	url = {https://arxiv.org/abs/1810.06970},
	author = {Zeilmann, A. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@article {Astroem2017b,
	title = {A Geometric Approach for Color Image Regularization},
	journal = {Comp. Vision Image Understanding},
	volume = {165},
	year = {2017},
	pages = {43{\textendash}59},
	url = {https://doi.org/10.1016/j.cviu.2017.10.013},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@conference {Zern2017,
	title = {Geometric Image Labeling with Global Convex Labeling Constraints},
	booktitle = {Proc. EMMCVPR},
	year = {2017},
	note = {to appear},
	author = {Zern, A. and Rohr, K. and Schn{\"o}rr, C.}
}
@conference {Michel2017,
	title = {Global hypothesis generation for 6D object pose estimation},
	booktitle = {Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017},
	volume = {2017-Janua},
	year = {2017},
	month = {dec},
	pages = {115{\textendash}124},
	abstract = {This paper addresses the task of estimating the 6D pose of a known 3D object from a single RGB-D image. Most modern approaches solve this task in three steps: i) Compute local features; ii) Generate a pool of pose-hypotheses; iii) Select and refine a pose from the pool. This work focuses on the second step. While all existing approaches generate the hypotheses pool via local reasoning, e.g. RANSAC or Hough-voting, we are the first to show that global reasoning is beneficial at this stage. In particular, we formulate a novel fully-connected Conditional Random Field (CRF) that outputs a very small number of pose-hypotheses. Despite the potential functions of the CRF being non-Gaussian, we give a new and efficient two-step optimization procedure, with some guarantees for optimality. We utilize our global hypotheses generation procedure to produce results that exceed state-of-the-art for the challenging "Occluded Object Dataset".},
	isbn = {9781538604571},
	doi = {10.1109/CVPR.2017.20},
	url = {http://arxiv.org/abs/1612.02287},
	author = {Michel, Frank and Kirillov, Alexander and Brachmann, Eric and Krull, Alexander and Gumhold, Stefan and Savchynskyy, Bogdan and Carsten Rother}
}
@conference {Zisler2017a,
	title = {Gradient Flows on a Riemannian Submanifold for Discrete Tomography},
	booktitle = {Proc. GCPR},
	year = {2017},
	author = {M. Zisler and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@proceedings {6080,
	title = {Gaussian process density counting from weak supervision},
	volume = {LNCS 9905},
	year = {2016},
	pages = {365-380 },
	publisher = {Springer},
	doi = { 	10.1007/978-3-319-46448-0_22},
	author = {M. von Borstel and Kandemir, M and Schmidt, P and Rao, M and Rajamani, K and Fred A. Hamprecht}
}
@proceedings {6077,
	title = {A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets},
	volume = {LNCS 9911},
	year = {2016},
	pages = {566-582},
	publisher = {Springer},
	doi = {10.1007/978-3-319-46478-7_35},
	author = {Haubold, C. and Ales, J and Wolf, S and Fred A. Hamprecht}
}
@booklet {Astroem2016b,
	title = {A Geometric Approach to Color Image Regularization},
	year = {2016},
	note = {ArXiv, preprint},
	month = {May},
	url = {https://arxiv.org/abs/1605.05977},
	author = {Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@conference {Astroem2016d,
	title = {A Geometric Approach to Image Labeling},
	booktitle = {Proc. ECCV},
	year = {2016},
	author = {Astr{\"o}m, F. and Petra, S. and Schmitzer, B. and Schn{\"o}rr, C.}
}
@article {rubio:PR:2015,
	title = {Generative Regularization with Latent Topics for Discriminative Object Recognition},
	journal = {Pattern Recognition},
	volume = {48},
	number = {12},
	year = {2015},
	pages = {3871--3880},
	publisher = {Elsevier},
	author = {Rubio, J. C. and Eigenstetter, A. and Bj{\"o}rn Ommer}
}
@article {Schmitzer2015,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	journal = {J.~Math.~Imag.~Vision},
	volume = {52},
	number = {3},
	year = {2015},
	pages = {436--458},
	url = {http://link.springer.com/article/10.1007/s10851-014-0546-8},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@article {Schmitzer2015,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	journal = {J. Math. Imag. Vision},
	volume = {52},
	number = {3},
	year = {2015},
	pages = {436{\textendash}458},
	url = {http://link.springer.com/article/10.1007/s10851-014-0546-8},
	author = {Schmitzer, B. and Schn{\"o}rr, C.}
}
@conference {Alhaija2015,
	title = {Graphflow{\textemdash}6D large displacement scene flow via graph matching},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9358},
	year = {2015},
	pages = {285{\textendash}296},
	abstract = {We present an approach for computing dense scene flow from two large displacement RGB-D images. When dealing with large displacements the crucial step is to estimate the overall motion correctly. While state-of-the-art approaches focus on RGB information to establish guiding correspondences, we explore the power of depth edges. To achieve this, we present a new graph matching technique that brings sparse depth edges into correspondence. An additional contribution is the formulation of a continuous-label energy which is used to densify the sparse graph matching output. We present results on challenging Kinect images, for which we outperform state-of-the-art techniques.},
	isbn = {9783319249469},
	issn = {16113349},
	doi = {10.1007/978-3-319-24947-6_23},
	author = {Hassan Abu Alhaija and Sellent, Anita and Kondermann, Daniel and Carsten Rother}
}
@article {schiegg_15_graphical,
	title = {Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell},
	journal = {Bioinformatics},
	volume = {31},
	number = {6},
	year = {2015},
	note = {1},
	pages = {948-956},
	doi = {10.1093/bioinformatics/btu764},
	url = {http://bioinformatics.oxfordjournals.org/content/early/2014/11/17/bioinformatics.btu764.full.pdf?keytype=ref\&ijkey=mTXWsiFrci7R8tc},
	author = {Schiegg, M. and Hanslovsky, P. and Haubold, C. and Ullrich K{\"o}the and Hufnagel, L. and Fred A. Hamprecht}
}
@booklet {SchmitzerSchnoerr-WassersteinModes2014,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	year = {2014},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@booklet {SchmitzerSchnoerr-WassersteinModes2014,
	title = {Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes},
	year = {2014},
	note = {preprint},
	author = {Bernhard Schmitzer and Christoph Schn{\"o}rr}
}
@mastersthesis {beier_14_graph,
	title = {Graph based image analysis},
	year = {2014},
	school = {University of Heidelberg},
	author = {Thorsten Beier}
}
@conference {savchynskyy_13_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	booktitle = {Workshop on Inference for Probabilistic Graphical Models at ICCV.
Proceedings},
	year = {2013},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {SavchynskyyNIPS2013,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation},
	booktitle = {NIPS},
	year = {2013},
	note = {Accepted},
	author = {Savchynskyy, Bogdan and Kappes, Jorg Hendrik and Swoboda, Paul and Christoph Schn{\"o}rr}
}
@conference {SavchynskyyNIPS2013,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation},
	booktitle = {NIPS},
	year = {2013},
	note = {Accepted},
	author = {Savchynskyy, Bogdan and J{\"o}rg H. Kappes and Swoboda, Paul and Christoph Schn{\"o}rr}
}
@conference {savchynskyy_13_global,
	title = {Global MAP-Optimality by Shrinking the Combinatorial Search Area
with Convex Relaxation},
	booktitle = {NIPS. Proceedings},
	year = {2013},
	note = {1},
	pages = {1950-1958},
	author = {Savchynskyy, B. and J{\"o}rg H. Kappes and Swoboda, P. and Christoph Schn{\"o}rr}
}
@conference {wanner2013,
	title = {Globally consistent multi-label assignment on the ray space of 4D light fields},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2013},
	author = {Sven Wanner and Christoph N. Straehle and Bastian Goldl{\"u}cke}
}
@article {wanner_13_globally,
	title = {Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields},
	journal = {CVPR 2013. Proceedings},
	year = {2013},
	pages = {1011-1018},
	doi = {10.1109/CVPR.2013.135},
	author = {Sven Wanner and Christoph N. Straehle and Bastian Goldl{\"u}cke}
}
@techreport {krall2012,
	title = {Gas Exchange Test Campaign at the Kyoto High Speed Wind-Wave Tank 2011},
	year = {2012},
	institution = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg},
	author = {Kerstin Ellen Krall}
}
@incollection {jaehne2012,
	title = {Gas transfer at water surfaces},
	year = {2012},
	pages = {389--404},
	publisher = {CRC Press/Balkema},
	chapter = {22},
	url = {http://www.crcnetbase.com/isbn/9780203803967},
	author = {Bernd J{\"a}hne},
	editor = {W. Rodi and M. Uhlmann}
}
@booklet {jaehne2012a,
	title = {Gegenwart und Zukunft der industriellen Bildverarbeitung --- Aufbruch in drei Dimensionen plus},
	year = {2012},
	url = {http://www.qm-infocenter.de/258063},
	author = {Bernd J{\"a}hne}
}
@article {savchynskyy_12_getting,
	title = {Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
Polytope Study},
	journal = {arXiv:1210.4081},
	year = {2012},
	note = {1},
	author = {Savchynskyy, B. and Schmidt, S.}
}
@conference {wanner_12_globally,
	title = {Globally Consistent Depth Labeling of 4D Light Fields},
	booktitle = {CVPR. Proceedings},
	year = {2012},
	note = {1},
	pages = {41-48},
	doi = {10.1109/CVPR.2012.6247656},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@conference {WG12:cvpr,
	title = {Globally Consistent Depth Labeling of 4D Lightfields},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2012},
	author = {Sven Wanner and Bastian Goldl{\"u}cke}
}
@conference {andres_12_globally,
	title = {Globally Optimal Closed-Surface Segmentation for Connectomics},
	booktitle = {ECCV 2012. Proceedings, Part 3},
	number = {7574},
	year = {2012},
	note = {1},
	pages = {778-791},
	doi = {10.1007/978-3-642-33712-3_56},
	author = {Bj{\"o}rn Andres and Thorben Kr{\"o}ger and K. L. Briggmann and Denk, W. and Norogod, N. and G. W. Knott and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@incollection {nair2012,
	title = {Ground truth for evaluating time of flight imaging},
	volume = {8200},
	year = {2012},
	pages = {52--74},
	publisher = {Springer},
	doi = {10.1007/978-3-642-44964-2_4},
	author = {Nair, Rahul and Stephan Meister and Lambers, Martin and Balda, Michael and Hofmann, Hannes and Andreas Kolb and Daniel Kondermann and Bernd J{\"a}hne}
}
@article {roeder_11_gaussian,
	title = {Gaussian process classification: singly versus doubly stochastic models, and new computational schemes},
	journal = {Stochastic Environmental Research \& Risk Assessment},
	volume = {25 (7)},
	year = {2011},
	note = {1},
	pages = {865-879},
	doi = {10.1007/s00477-011-0498-0},
	author = {R{\"o}der, J. and Tolosana-Delgado, R. and Fred A. Hamprecht}
}
@article {Nicola-et-al-2011,
	title = {A general extending and constraining procedure for linear iterative methods},
	journal = {Int.~J.~Comp.~Math.},
	year = {2011},
	note = {in press},
	url = {http://dx.doi.org/10.1080/00207160.2011.634002},
	author = {Nicola, A. and Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@article {Nicola-et-al-2011,
	title = {A general extending and constraining procedure for linear iterative methods},
	journal = {Int. J. Comp. Math.},
	year = {2011},
	note = {in press},
	url = {http://dx.doi.org/10.1080/00207160.2011.634002},
	author = {Nicola, A. and Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@incollection {wanner2011generating,
	title = {Generating EPI representations of 4D light fields with a single lens focused plenoptic camera},
	year = {2011},
	pages = {90--101},
	publisher = {Springer},
	doi = {10.1007/978-3-642-24028-7_9},
	author = {Sven Wanner and Fehr, Janis and Bernd J{\"a}hne},
	editor = {G. Bebis and et al.}
}
@conference {He2011,
	title = {A global sampling method for alpha matting},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {2049{\textendash}2056},
	abstract = {Alpha matting refers to the problem of softly extracting the foreground from an image. Given a trimap (specifying known foreground/background and unknown pixels), a straightforward way to compute the alpha value is to sample some known foreground and background colors for each unknown pixel. Existing sampling-based matting methods often collect samples near the unknown pixels only. They fail if good samples cannot be found nearby. In this paper, we propose a global sampling method that uses all samples available in the image. Our global sample set avoids missing good samples. A simple but effective cost function is defined to tackle the ambiguity in the sample selection process. To handle the computational complexity introduced by the large number of samples, we pose the sampling task as a correspondence problem. The correspondence search is efficiently achieved by generalizing a randomized algorithm previously designed for patch matching[3]. A variety of experiments show that our global sampling method produces both visually and quantitatively high-quality matting results. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995495},
	author = {He, Kaiming and Rhemann, Christoph and Carsten Rother and Tang, Xiaoou and Sun, Jian}
}
@conference {kappes_11_globally,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	note = {1},
	pages = {31-44},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23094-3_3},
	author = {J{\"o}rg H. Kappes and Speth, M. and Bj{\"o}rn Andres and Reinelt, G. and Christoph Schn{\"o}rr}
}
@conference {Kappes11,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg H. Kappes and Speth, Markus and Bj{\"o}rn Andres and Reinelt, Gerhard and Christoph Schn{\"o}rr}
}
@conference {Kappes11,
	title = {Globally Optimal Image Partitioning by Multicuts},
	booktitle = {EMMCVPR},
	year = {2011},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg Hendrik Kappes and Markus Speth and Bj{\"o}rn Andres and Gerhard Reinelt and Christoph Schn{\"o}rr}
}
@conference {Gulshan2010,
	title = {Geodesic star convexity for interactive image segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2010},
	pages = {3129{\textendash}3136},
	abstract = {In this paper we introduce a new shape constraint for interactive image segmentation. It is an extension of Veksler{\textquoteright}s [25] star-convexity prior, in two ways: from a single star to multiple stars and from Euclidean rays to Geodesic paths. Global minima of the energy function are obtained subject to these new constraints. We also introduce Geodesic Forests, which exploit the structure of shortest paths in implementing the extended constraints. The star-convexity prior is used here in an interactive setting and this is demonstrated in a practical system. The system is evaluated by means of a "robot user" to measure the amount of interaction required in a precise way. We also introduce a new and harder dataset which augments the existing Grabcut dataset [1] with images and ground truth taken from the PASCAL VOC segmentation challenge [7]. {\textcopyright}2010 IEEE.},
	isbn = {9781424469840},
	issn = {10636919},
	doi = {10.1109/CVPR.2010.5540073},
	author = {Gulshan, Varun and Carsten Rother and Criminisi, Antonio and Blake, Andrew and Zisserman, Andrew}
}
@conference {koethe_10_geometric,
	title = {Geometric Analysis of 3D Electron Microscopy Data},
	booktitle = {Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM)},
	year = {2010},
	note = {1},
	pages = {22-26},
	author = {Ullrich K{\"o}the and Bj{\"o}rn Andres and Thorben Kr{\"o}ger and Fred A. Hamprecht},
	editor = {Ullrich K{\"o}the and Montanvert, A. and Soille, P.}
}
@techreport {popa09,
	title = {On a general extending and constraining procedure for linear iterative methods},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9761},
	author = {Nicola, A. and Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@techreport {popa09,
	title = {On a general extending and constraining procedure for linear iterative methods},
	year = {2009},
	month = {August},
	institution = {IWR, University of Heidelberg},
	type = {Technical Report},
	url = {http://www.ub.uni-heidelberg.de/archiv/9761},
	author = {Nicola, A. and Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@article {Woodford,
	title = {A Global Perspective on MAP Inference for Low-Level Vision Supplementary material to ICCV submission \# 1536},
	journal = {Optimization},
	year = {2009},
	abstract = {In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, MRFs inherently encourage delta function marginal statistics. By contrast, many low-level vision problems have heavy tailed marginal statistics, making the MRF model unsuitable. In this paper we introduce a more general Marginal Probability Field (MPF), of which the MRF is a special, linear case, and show that convex energy MPFs can be used to encourage arbitrary marginal statistics. We introduce a flexible, extensible framework for effectively optimizing the resulting NP-hard MAP problem , based around dual-decomposition and a modified min-cost flow algorithm, and which achieves global optimality in some instances. We use a range of applications, including image denoising and texture synthesis, to demonstrate the benefits of this class of MPF over MRFs.},
	author = {Woodford, Oliver J}
}
@conference {Vicente2008,
	title = {Graph cut based image segmentation with connectivity priors},
	booktitle = {26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	year = {2008},
	abstract = {Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated objects due to the "shrinking bias". To overcome this problem, we propose to impose an additional connectivity prior, which is a very natural assumption about objects. We formulate several versions of the connectivity constraint and show that the corresponding optimization problems are all NP-hard. For some of these versions we propose two optimization algorithms: (i) a practical heuristic technique which we call DijkstraGC, and (ii) a slow method based on problem decomposition which provides a lower bound on the problem. We use the second technique to verify that for some practical examples DijkstraGC is able to find the global minimum. {\textcopyright}2008 IEEE.},
	isbn = {9781424422432},
	doi = {10.1109/CVPR.2008.4587440},
	author = {Vicente, Sara and Kolmogorov, Vladimir and Carsten Rother}
}
@phdthesis {haja2008,
	title = {Graph-based Spatial Motion Tracking using Affine-covariant Regions},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	abstract = {This thesis considers the task of spatial motion reconstruction from image sequences using a stereoscopic camera setup. In a variety of fields, such as flow analysis in physics or the measurement of oscillation characteristics and damping behavior in mechanical engineering, efficient and accurate methods for motion analysis are of great importance. This work discusses each algorithmic step of the motion reconstruction problem using a set of freely available image sequences. The presented concepts and evaluation results are of a generic nature and may thus be applied to a multitude of applications in various fields, where motion can be observed by two calibrated cameras. The first step in the processing chain of a motion reconstruction algorithm is concerned with the automated detection of salient locations (=features or regions) within each image of a given sequence. In this thesis, detection is directly performed on the natural texture of the observed objects instead of using artificial marker elements (as with many currently available methods). As one of the major contributions of this work, five well-known detection methods from the contemporary literature are compared to each other with regard to several performance measures, such as localization accuracy or the robustness under perspective distortions. The given results extend the available literature on the topic and facilitate the well-founded selection of appropriate detectors according to the requirements of specific target applications. In the second step, both spatial and temporal correspondences have to be established between features extracted from different images. With the former, two images taken at the same time instant but with different cameras are considered (stereo reconstruction) while with the latter, correspondences are sought between temporally adjacent images from the same camera instead (monocular feature tracking). With most classical methods, an observed object is either spatially reconstructed at a single time instant yielding a set of three-dimensional coordinates, or its motion is analyzed separately within each camera yielding a set of two-dimensional trajectories. A major contribution of this thesis is a concept for the unification of both stereo reconstruction and monocular tracking. Based on sets of two-dimensional trajectories from each camera of a stereo setup, the proposed method uses a graph-based approach to find correspondences not between single features but between entire trajectories instead. Thereby, the influence of locally ambiguous correspondences is mitigated significantly. The resulting spatial trajectories contain both the three-dimensional structure and the motion of the observed objects at the same time. To the best knowledge of the author, a similar concept does not yet exist in the literature. In a detailed evaluation, the superiority of the new method is demonstrated.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8943},
	author = {Andreas Haja}
}
@article {schmaehling_07_generalizing,
	title = {Generalizing the Abbott-Firestone curve by two new surface descriptors},
	journal = {Wear},
	volume = {262},
	year = {2007},
	note = {1},
	pages = {1360-1371},
	doi = {10.1016/j.wear.2007.01.025},
	author = {Schm{\"a}hling, J. and Fred A. Hamprecht}
}
@conference {Karim-et-al-07,
	title = {Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification},
	booktitle = {Pattern Recognition -- 29th DAGM Symposium},
	volume = {4713},
	year = {2007},
	pages = {395-404},
	publisher = {Springer},
	organization = {Springer},
	author = {Karim, R. and Bergtholdt, M. and J{\"o}rg H. Kappes and Christoph Schn{\"o}rr}
}
@conference {Karim-et-al-07,
	title = {Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification},
	booktitle = {Pattern Recognition {\textendash} 29th DAGM Symposium},
	series = {LCNS},
	volume = {4713},
	year = {2007},
	pages = {395-404},
	publisher = {Springer},
	organization = {Springer},
	author = {Karim, R. and Bergtholdt, M. and Kappes, J. H. and Schn{\"o}rr, C.}
}
@conference {degreif2006a,
	title = {Gas exchange measurements: the chemically enhanced gas transfer of carbon dioxide at the water surface},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Kai Degreif and Joachim Kuss and Bernd J{\"a}hne}
}
@conference {degreif2006b,
	title = {Gas exchange measurements: transition of the boundary conditions from a flat to a rough water surface},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Kai Degreif and Bernd J{\"a}hne}
}
@conference {degreif2004,
	title = {Gas exchange experiments using time resolved UV-spectroscopy},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Munich, 22.-26.03.2004},
	year = {2004},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	abstract = {The air sea gas exchange plays a key role in the development of the earth{\textquoteright}s climate. The oceans can act as a source or sink for climate relevant gases such as carbon dioxide, methane or dimethyl sulphide. Hydrodynamics in the viscous boundary layer at the free ocean surface and therefore the gas transfer across the interface are not well understood yet. UV-spectroscopy provides a direct and fast measuring method for gaseous or volatile tracers in the air and water phase. A wide range of hydrodynamic parameters, i.e. Schmidt numbers and solubilities is feasible with volatile hydrocarbons such as benzene or fluorobenzene. Multiple tracers may be observed simultaneously with the same non-invasive measuring technique. Laboratory experiments are performed at a 120 cm diameter circular wind-wave-facility in Heidelberg. A detailed study of gas transfer rate{\textquoteright}s dependence on the mean squared surface wave slope s^2, friction velocity u*, as well as on the Schmidt number Sc and solubility of the tracers will be performed. Also the influence of surface films or an increased viscosity is going to be examined. Preliminary results and further prospects are presented.},
	url = {http://www.dpg-verhandlungen.de/2004/up_15.html},
	author = {Kai Degreif and Bernd J{\"a}hne}
}
@phdthesis {nielsen2004,
	title = {Gasaustausch - Entwicklung und Ergebnis eines schnellen Massenbilanzverfahrens zur Messung der Austauschparameter},
	year = {2004},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In this thesis a novel, fast and highly accurate technique was developed for measuring the transfer velocity of gases across the air-water interface. The method is based on a simultaneous measurement of concentrations of gas tracers, both on the air and water side. It is possible to induce very high mass fluxes across the interface by increasing the water sided concentration. This leads to a significant increase in the air sided concentration of the tracer, which can be measured within a couple of minutes. By conducting measurements in this scheme, transfer velocities are recovered 10 to 100 times faster than would be possible by measuring the water sided concentration alone. Due to this significant reduction in measurement time, the novel technique makes it possible to conduct several experiments directly one after the other. For the first time was it possible to carry out a series of measurements in one day. The relative accuracy of measuring transfer velocities was better than 1\%, which made it possible to determine the Schmidt number exponent precisely. The transition of the Schmidt number exponent from a flat to a rough water surface could be assessed for the first time. This allowed for a parametrization with the facet model. With respect to wind speed dependence a surprising result was achieved: The Schmidt number exponent transitions much slower than previously expected.},
	url = {http://www.ub.uni-heidelberg.de/archiv/5032},
	author = {Nielsen, R.}
}
@conference {Rother2004,
	title = {"GrabCut" - Interactive foreground extraction using iterated graph cuts},
	booktitle = {ACM Transactions on Graphics},
	volume = {23},
	number = {3},
	year = {2004},
	pages = {309{\textendash}314},
	abstract = {The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g. Magic Wand, or edge (contrast) information, e.g. Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which successfully combines both types of information. In this paper we extend the graph-cut approach in three respects. First, we have developed a more powerful, iterative version of the optimisation. Secondly, the power of the iterative algorithm is used to simplify substantially the user interaction needed for a given quality of result. Thirdly, a robust algorithm for "border matting" has been developed to estimate simultaneously the alpha-matte around an object boundary and the colours of foreground pixels. We show that for moderately difficult examples the proposed method outperforms competitive tools.},
	keywords = {Alpha Matting, Foreground extraction, Graph Cuts, Image Editing, Interactive Image Segmentation},
	issn = {07300301},
	doi = {10.1145/1015706.1015720},
	author = {Carsten Rother and Kolmogorov, Vladimir and Blake, Andrew}
}
@phdthesis {dierig2002,
	title = {Gewinnung von Tiefenkarten aus Fokusserien},
	year = {2002},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/2461},
	author = {Tobias Dierig}
}
@conference {spies2001b,
	title = {A general framework for image sequence processing},
	booktitle = {Fachtagung Informationstechnik},
	year = {2001},
	pages = {125--132},
	author = {Hagen Spies and Bernd J{\"a}hne}
}
@article {Heers-et-al-01,
	title = {Globally{\textendash}Convergent Iterative Numerical Schemes for Non{\textendash}Linear Variational Image Smoothing and Segmentation on a Multi{\textendash}Processor Machine},
	journal = {IEEE Trans. Image Proc.},
	volume = {10},
	number = {6},
	year = {2001},
	pages = {852{\textendash}864},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@phdthesis {wenig2001,
	title = {GOME-Spurenstoffauswertung und Bildverarbeitung},
	year = {2001},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Mark Wenig}
}
@conference {klinke2000,
	title = {Generation of short waves by wave-current interaction},
	booktitle = {Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International},
	year = {2000},
	pages = {1084--1086},
	doi = {10.1109/IGARSS.2000.858029},
	author = {J. Klinke and S. R. Long}
}
@article {jaehne1999o,
	title = {Gut beleuchtet ist halb gemessen},
	journal = {QZ},
	volume = {44},
	number = {10},
	year = {1999},
	pages = {1283--1288},
	url = {https://www.qz-online.de/qz-zeitschrift/archiv/artikel/art-der-lichtquelle-und-der-einstrahlbedingungen-sind-entscheidend-gut-beleuchtet-ist-halb-gemessen-345974.html},
	author = {Bernd J{\"a}hne}
}
@article {leue1998a,
	title = {GOME mi{\ss}t atmosph{\"a}rische Stickoxide. Globale Biomassenverbrennung und Industrieemissionen},
	journal = {Physik in unserer Zeit},
	volume = {29},
	number = {4},
	year = {1998},
	pages = {179},
	doi = {10.1002/piuz.19980290410},
	author = {Carsten Leue and Mark Wenig and Bernd J{\"a}hne and Ulrich Platt}
}
@article {hamprecht_97_generation,
	title = {Generation of pseudo-native protein structures for threading},
	journal = {Proteins},
	volume = {28},
	year = {1997},
	pages = {522-529},
	author = {Fred A. Hamprecht and Scott, W. R. P. and van Gunsteren, W. F.}
}
@mastersthesis {schultz1997,
	title = {Geometrische Kalibrierung von CCD-Kameras},
	year = {1997},
	school = {University of Heidelberg},
	author = {Michael Schultz}
}
@conference {Schnoerr-et-al-96,
	title = {On Globally Asymptotically Stable Continuous-Time CNNs for Adaptive Smoothing of Multidimensional Signals},
	booktitle = {Proc. 4th IEEE Int. Workshop on Cellular Neural Networks and their Applications},
	year = {1996},
	month = {June 24-26},
	address = {Seville, Spain},
	author = {Schn{\"o}rr, C. and Stiehl, H.-S. and Grigat, R.-R.}
}
@mastersthesis {kandlbinder1994,
	title = {Gasaustauschmessungen mit Sauerstoff},
	year = {1994},
	note = {IUP D-385},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Thomas Kandlbinder}
}
@mastersthesis {boenisch1981,
	title = {Gasaustausch und W{\"a}rmetransfer bei freier Konvektion und unter Einfluss von Wellen: Aufbau einer Apparatur und erste Ergebnisse},
	year = {1981},
	note = {IUP D-204},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.13362},
	author = {Klaus B{\"o}nisch}
}
@incollection {tschiersch1980a,
	title = {Gas exchange trough a rough water surface in a circular windtunnel; wave characteristics under limited and unlimited fetch},
	number = {17},
	year = {1980},
	pages = {63--70},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10260},
	author = {Tschiersch, J. and Bernd J{\"a}hne},
	editor = {H. C. Broecker and L. Hasse}
}
@mastersthesis {jaehne1977,
	title = {Gaschromatische Tritiumanreicherung, Trennung der Wasserstoffisotope bei Adsorption},
	year = {1977},
	note = {IUP D-100},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {Die vorliegende Arbeit untersucht die M{\"o}glichkeiten gaschromatographischer Anreicherung von Tritium zur Messung von Low-Level-Proben. Es konnte ein tr{\"a}gergasfreies Verfahren entwickelt werden, das aus einer Kombination von Frontalanalyse und Verdr{\"a}ngungsentwicklung besteht. Es ist einfach zu handhaben, aber genauso effektiv wie kompliziertere bisherige Verfahren mit Tr{\"a}gergas (Kapitel 2). Verbesserungen im Kolonnenbau machen gr{\"o}{\ss}ere Anreicherungsfaktoren m{\"o}glich. Durch eine optimalere Wahl der Adsorber und den {\"U}bergang zu tieferen Temperaturen (63,2{\textdegree}K, Sieden von fl{\"u}ssigem Stickstoff unter vermindertem Druck) l{\"a}{\ss}t sich die vierfache Menge an Wasserstoff im gleichen Volumen anreichern wie mit den bisherigen gaschromatographischenVerfahren. Das gaschromatographische Verfahren ist gegen{\"u}ber dem Trennrohr schneller und platzsparender: eine 20 Nl Wasserstoffprobe l{\"a}{\ss}t sich in weniger als 2 Stunden in einer 0,3 1 Kolonne bei 63,2{\textdegree}K auf 1,3 Nl mit mehr als 99,0\% Tritiumausbeute einengen. Auch gr{\"o}{\ss}ere Mengen H2 lassen sich verarbeiten, soda{\ss} der bisherige Anreicherungsweg f{\"u}r Low-Level-Tritiumproben weiter vereinfacht werden kann (Kapitel 7). Breiten Raum nehmen grundlegende Untersuchungen ein, die erst eine optimale Parameterwahl erm{\"o}glicht haben. Im Kapitel 4 werden Grundlagen der Adsorption beschrieben und die Adsorber auf ihre Adsorptionskapazit{\"a}ten verglichen, die Theorie der Adsorption selbst findet sich in Anhang A2, die Me{\ss}verfahren in Anhang A1. Die Untersuchung der Trennfaktoren der Adsorption ist Gegenstand von Kapitel 5. Da f{\"u}r HT geeignete Trennfaktoren in der Literatur fehlen, wurden sowohl eigene Messungen unternommen, als auch versucht mit 3 Adsorptionsmodellen die Beziehung der Trennfaktoren untereinander (logarithmische Verh{\"a}ltnisse, Bigeleisenfaktoren) theoretisch zu berechnen (Kapitel 5, Anhang A3). Dabei ergab sich, da{\ss} Isotopentrennfaktoren einschlie{\ss}lich der Ortho-Para-Trennung (Kapitel 3) ein geeignetes Mittel sind, zwischen verschiedenen Vorstellungen {\"u}ber die Adsorption zu unterscheiden, was mit Isothermenmessungen nur schwer m{\"o}glich ist (Anhang A2). Das Modell einer mobilen Adsorption der H -Molek{\"u}le mit einer weitgehenden St{\"o}rung der Rotation in einer Ebene senkrecht zur Oberfl{\"a}che entspricht den Messergebnissen am besten.},
	doi = {10.5281/zenodo.9208},
	url = {http://www.ub.uni-heidelberg.de/archiv/16797},
	author = {Bernd J{\"a}hne}
}
