@conference {709,
	title = {A Deep Network for Object Detection on Inland Waters},
	booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
	year = {2026},
	pages = {6590-6599},
	publisher = {CVF},
	organization = {CVF},
	address = {Tucson, USA},
	author = {Dennis Griesser and Bastian Goldluecke and Matthias O. Franz and Georg Umlauf}
}
@article {700,
	title = {Preventing Parasitic Learning in Online Identification of Building RC Thermal Models: A Stochastic-Volatility Rao{\textendash}Blackwellized Particle Filter},
	year = {2026},
	doi = {10.2139/ssrn.6017847},
	url = {http://dx.doi.org/10.2139/ssrn.6017847},
	author = {Ramadane, Mohamed and Bohnet, Doris}
}
@conference {697,
	title = {Assessing the Environmental Impact of IoT Devices - Hotspots and Guidelines for a Better Understanding},
	booktitle = {2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)},
	year = {2025},
	pages = {1{\textendash}11},
	publisher = {IEEE},
	organization = {IEEE},
	doi = {10.1109/ice/itmc65658.2025.11106638},
	url = {http://dx.doi.org/10.1109/ice/itmc65658.2025.11106638},
	author = {Baumgartner, Corinna and Bohnet, Doris and Meyer, Sonja and Leber, Angelika and Ramadane, Mohamed}
}
@conference {699,
	title = {Dynamic Use-Phase Variability In IoT-Enabled Systems: A Simulation-Based Case Study Of Smart Thermostats},
	booktitle = {ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita},
	year = {2025},
	pages = {711{\textendash}717},
	publisher = {ECMS},
	organization = {ECMS},
	doi = {10.7148/2025-0711},
	url = {http://dx.doi.org/10.7148/2025-0711},
	author = {Ramadane, Mohamed and Bohnet, Doris}
}
@conference {692,
	title = {Faster-than-real-time Simulation of Multi-group Pedestrian Flow.},
	booktitle = {Traffic \& Granular Flow 24},
	year = {2025},
	month = {09/2025},
	pages = {04021},
	publisher = {EDP Sciences (334)},
	organization = {EDP Sciences (334)},
	address = {Lyon},
	abstract = {Simulations of pedestrian flow are widely used for design guidelines during the planning of buildings and large events. In this article we discuss how faster-than-real-time simulations of pedestrian flow can contribute to dynamic control strategies of the crowd in order to ensure safety live during an event. For this purpose we present a continuous model for multi-group pedestrian flow. The model consists of the continuity equation for the density of pedestrians and a Helmholtz type equation providing the fastest path to the exit. It is derived by regularizing Hughes{\textquoteright} macroscopic model for pedestrian flow and is solved using the finite element method, which enables simulations at short run-times. The model allows the definition of multiple groups with different fundamental diagrams or destination preferences. We show that this model is able to reproduce qualitatively the expected behavior of crossing pedestrian crowds. Its main advantage is its simulation speed, making it ideal for real-time crowd management at large events.},
	keywords = {FEM Simulation, Kontinuum Model, multi-group, pedestrian flow},
	doi = {https://doi.org/10.1051/epjconf/202533404021},
	author = {M. Schmid and D. Bernhardsgr{\"u}tter and R. Schwarz and D. Bohnet and R. Axthelm}
}
@conference {707,
	title = {Interpretable Neural Causal Models with TRAM-DAGs},
	booktitle = {Proceedings of the Fourth Conference on Causal Learning and Reasoning},
	year = {2025},
	month = {07{\textendash}09 May},
	pages = {606{\textendash}630},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {The ultimate goal of most scientific studies is to understand the underlying causal mechanism between the involved variables. Structural causal models (SCMs) are widely used to represent such causal mechanisms. Given an SCM, causal queries on all three levels of Pearl{\textquoteright}s causal hierarchy can be answered: $\mathcalL_1$ observational, $\mathcalL_2$ interventional, and $\mathcalL_3$ counterfactual. An essential aspect of modeling the SCM is to model the dependency of each variable on its causal parents. Traditionally this is done by parametric statistical models, such as linear or logistic regression models. This allows to handle all kinds of data types and fit interpretable models but bears the risk of introducing a bias due to the assumed rigid functional form. More recently neural causal models came up using neural networks (NNs) to model the causal relationships, allowing the estimation of nearly any underlying functional form without bias. However, current neural causal models are generally restricted to continuous variables and do not yield an interpretable form of the causal relationships. Transformation models range from simple statistical regressions to complex networks and can handle continuous, ordinal, and binary data. Here, we propose to use TRAMs to model the functional relationships in SCMs allowing us to bridge the gap between interpretability and flexibility in causal modeling. We call this method TRAM-DAG and assume currently that the underlying directed acyclic graph (DAG) is known. For the fully observed case, we benchmark TRAM-DAGs against state-of-the-art statistical and NN-based causal models. We show that TRAM-DAGs are interpretable but also achieve equal or superior performance in queries ranging from $\mathcalL_1$ to $\mathcalL_3$ in the causal hierarchy. For the continuous case, TRAM-DAGs allow for counterfactual queries for three common causal structures, including unobserved confounding.},
	url = {https://proceedings.mlr.press/v275/sick25a.html},
	author = {Sick, Beate and D{\"u}rr, Oliver},
	editor = {Huang, Biwei and Drton, Mathias}
}
@conference {694,
	title = {Paths and Ambient Spaces in Neural Loss Landscapes},
	booktitle = {Proceedings of The 28th International Conference on Artificial Intelligence and Statistics},
	year = {2025},
	month = {03{\textendash}05 May},
	pages = {10{\textendash}18},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {Understanding the structure of neural network loss surfaces, particularly the emergence of low-loss tunnels, is critical for advancing neural network theory and practice. In this paper, we propose a novel approach to directly embed loss tunnels into the loss landscape of neural networks. Exploring the properties of these loss tunnels offers new insights into their length and structure and sheds light on some common misconceptions. We then apply our approach to Bayesian neural networks, where we improve subspace inference by identifying pitfalls and proposing a more natural prior that better guides the sampling procedure.},
	url = {https://proceedings.mlr.press/v258/dold25a.html},
	author = {Dold, Daniel and Kobialka, Julius and Palm, Nicolai and Sommer, Emanuel and R{\"u}gamer, David and D{\"u}rr, Oliver},
	editor = {Li, Yingzhen and Mandt, Stephan and Agrawal, Shipra and Khan, Emtiyaz}
}
@conference {691,
	title = {Solgenia{\textemdash}A test vessel toward energy-efficient autonomous water taxi applications},
	booktitle = {Ocean Engineering},
	year = {2025},
	doi = {https://doi.org/10.1016/j.oceaneng.2025.121011},
	url = {https://www.sciencedirect.com/science/article/pii/S0029801825007243},
	author = {Hannes Homburger and Stefan Wirtensohn and Patrick Hoher and Tim Baur and Dennis Griesser and Moritz Diehl and Johannes Reuter}
}
@conference {698,
	title = {Surrogate Model Using A U-NET-ConvLSTM Architecture For A Macroscopic Pedestrian Flow Model},
	booktitle = {ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita},
	year = {2025},
	pages = {300{\textendash}306},
	publisher = {ECMS},
	organization = {ECMS},
	doi = {10.7148/2025-0300},
	url = {http://dx.doi.org/10.7148/2025-0300},
	author = {Bohnet, Doris and Wehrlein, Yvonne}
}
@conference {690,
	title = {3D-Extended Object Tracking and Shape Classification with a Lidar Sensor using Random Matrices and Virtual Measurement Models},
	booktitle = {27th International Conference on Information Fusion (FUSION)},
	year = {2024},
	pages = {1-8},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Venice, Italy},
	doi = {10.23919/FUSION59988.2024.10706411},
	author = {Patrick Hoher and Tim Baur and Johannes Reuter and Dennis Griesser and Felix Govaers and Wolfgang Koch}
}
@conference {693,
	title = {Bayesian Semi-structured Subspace Inference},
	booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
	year = {2024},
	month = {02{\textendash}04 May},
	pages = {1819{\textendash}1827},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {Semi-structured regression models enable the joint modeling of interpretable structured and complex unstructured feature effects. The structured model part is inspired by statistical models and can be used to infer the input-output relationship for features of particular importance. The complex unstructured part defines an arbitrary deep neural network and thereby provides enough flexibility to achieve competitive prediction performance. While these models can also account for aleatoric uncertainty, there is still a lack of work on accounting for epistemic uncertainty. In this paper, we address this problem by presenting a Bayesian approximation for semi-structured regression models using subspace inference. To this end, we extend subspace inference for joint posterior sampling from a full parameter space for structured effects and a subspace for unstructured effects. Apart from this hybrid sampling scheme, our method allows for tunable complexity of the subspace and can capture multiple minima in the loss landscape. Numerical experiments validate our approach{\textquoteright}s efficacy in recovering structured effect parameter posteriors in semi-structured models and approaching the full-space posterior distribution of MCMC for increasing subspace dimension. Further, our approach exhibits competitive predictive performance across simulated and real-world datasets.},
	url = {https://proceedings.mlr.press/v238/dold24a.html},
	author = {Dold, Daniel and Ruegamer, David and Sick, Beate and D{\"u}rr, Oliver},
	editor = {Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen}
}
@article {704,
	title = {Bernstein flows for flexible posteriors in variational Bayes},
	journal = {AStA Advances in Statistical Analysis},
	volume = {108},
	year = {2024},
	pages = {375{\textendash}394},
	issn = {1863-818X},
	doi = {10.1007/s10182-024-00497-z},
	url = {http://dx.doi.org/10.1007/s10182-024-00497-z},
	author = {D{\"u}rr, Oliver and H{\"o}rtling, Stefan and Dold, Danil and Kovylov, Ivonne and Sick, Beate}
}
@conference {689,
	title = {Enhancing Inland Water Safety: The Lake Constance Obstacle Detection Benchmark},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2024},
	pages = {14808-14814},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Yokohama, Japan},
	doi = {10.1109/ICRA57147.2024.10610600},
	author = {Dennis Griesser and Matthias O. Franz and Georg Umlauf}
}
@article {696,
	title = {Environmental Impact Assessment of IoT Devices: A Graph-based Approach},
	journal = {Procedia Computer Science},
	volume = {236},
	year = {2024},
	pages = {338{\textendash}347},
	issn = {1877-0509},
	doi = {10.1016/j.procs.2024.05.039},
	url = {http://dx.doi.org/10.1016/j.procs.2024.05.039},
	author = {Ramadane, Mohamed and Meyer, Sonja and Bohnet, Doris}
}
@article {706,
	title = {Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo},
	journal = {Journal of Statistical Software},
	volume = {111},
	year = {2024},
	issn = {1548-7660},
	doi = {10.18637/jss.v111.i10},
	url = {http://dx.doi.org/10.18637/jss.v111.i10},
	author = {Kook, Lucas and Baumann, Philipp F. M. and D{\"u}rr, Oliver and Sick, Beate and R{\"u}gamer, David}
}
@article {679,
	title = {Bayesian Calibration of MEMS Accelerometers},
	journal = {IEEE Sensors Journal},
	year = {2023},
	author = {D{\"u}rr, Oliver and Fan, Po-Yu and Yin, Zong-Xian}
}
@article {672,
	title = {Deep probabilistic modelling for energy forecasting},
	year = {2023},
	author = {Daniel Dold and Marcel Arpogaus and Oliver D{\"u}rr}
}
@article {680,
	title = {Deep transformation models for functional outcome prediction after acute ischemic stroke},
	journal = {Biometrical Journal},
	volume = {65},
	year = {2023},
	pages = {2100379},
	author = {Herzog, Lisa and Kook, Lucas and G{\"o}tschi, Andrea and Petermann, Katrin and H{\"a}nsel, Martin and Hamann, Janne and D{\"u}rr, Oliver and Wegener, Susanne and Sick, Beate}
}
@conference {671,
	title = {Development and application of a climate emulator},
	booktitle = {EGU23},
	year = {2023},
	author = {Tamas Bodai and Valerio Lembo and Valerio Lembo and Sun-Seon Lee and Miho Ishizu and Matthias Franz}
}
@conference {675,
	title = {Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model},
	booktitle = { International Conference on Information Fusion (FUSION)},
	year = {2023},
	pages = {1-8},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Charleston, SC, USA},
	doi = {10.23919/FUSION52260.2023.10224159},
	author = {Patrick Hoher and Johannes Reuter and Daniel Dold and Dennis Griesser and Felix Govaers and Wolfgang Koch}
}
@conference {676,
	title = {Incremental one-class learning using regularized null-space training for industrial defect detection},
	booktitle = {16th International Conference on Machine Vision (ICMV)},
	year = {2023},
	month = {11/2023},
	abstract = {One-class incremental learning is a special case of class-incremental learning, where only a single novel class is incrementally added to an existing classifier instead of multiple classes.
This case is relevant in industrial defect detection scenarios, where novel defects usually appear during operation. 
Existing rolled-out classifiers must be updated incrementally in this scenario with only a few novel examples.
In addition, it is often required that the base classifier must not be altered due to approval and warranty restrictions.
While simple finetuning often gives the best performance across old and new classes, it comes with the drawback of potentially losing performance on the base classes (catastrophic forgetting).
Simple prototype approaches work without changing existing weights and perform very well when the classes are well separated but fail dramatically when not.
In theory, null-space training (NSCL) should retain the basis classifier entirely, as parameter updates are restricted to the null space of the network with respect to existing classes.
However, as we show, this technique promotes overfitting in the case of one-class incremental learning.
In our experiments, we found that unconstrained weight growth in null space is the underlying issue, leading us to propose a regularization term (R-NSCL) that penalizes the magnitude of amplification.
The regularization term is added to the standard classification loss and stabilizes null-space training in the one-class scenario by counteracting overfitting. 
We test the method{\textquoteright}s capabilities on two industrial datasets, namely AITEX and MVTec, and compare the performance to state-of-the-art algorithms for class-incremental learning.},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O.  Franz}
}
@article {682,
	title = {Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays},
	journal = {Global Spine Journal},
	year = {2023},
	pages = {21925682231154543},
	author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@article {705,
	title = {Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays},
	journal = {Global Spine Journal},
	volume = {14},
	year = {2023},
	pages = {1728{\textendash}1737},
	issn = {2192-5690},
	doi = {10.1177/21925682231154543},
	url = {http://dx.doi.org/10.1177/21925682231154543},
	author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@article {681,
	title = {Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows},
	journal = {IEEE Transactions on Smart Grid},
	year = {2023},
	author = {Arpogaus, Marcel and Voss, Marcus and Sick, Beate and Nigge-Uricher, Mark and D{\"u}rr, Oliver}
}
@booklet {703,
	title = {Single-shot Bayesian approximation for neural networks},
	year = {2023},
	url = {https://arxiv.org/abs/2308.12785},
	author = {Kai Brach and Beate Sick and Oliver D{\"u}rr}
}
@conference {674,
	title = {Visual Pitch and Roll Estimation For Inland Water Vessels},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2023},
	pages = {1961-1967},
	publisher = {IEEE},
	organization = {IEEE},
	address = {London, United Kingdom},
	doi = {10.1109/ICRA48891.2023.10160460},
	author = {Dennis Griesser and Georg Umlauf and Matthias O. Franz}
}
@article {683,
	title = {140. Automated measurement technique for coronal parameters using a novel artificial intelligence algorithm: an independent validation study on 100 preoperative AP spine X-rays},
	journal = {The Spine Journal},
	volume = {22},
	year = {2022},
	pages = {S74},
	author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and D{\"u}rr, Oliver and Obid, Peter}
}
@inbook {645,
	title = {Crowd Management in der  Lehre},
	booktitle = {Seamless  Learning, Grenz- und kontext{\"u}bergreifendes Lehren und Lernen in der  Bodenseeregion},
	year = {2022},
	pages = {123-132},
	publisher = {Springer},
	organization = {Springer},
	author = {R. Axthelm and S. Luppold and M. Moroff}
}
@article {684,
	title = {Deep and interpretable regression models for ordinal outcomes},
	journal = {Pattern Recognition},
	volume = {122},
	year = {2022},
	pages = {108263},
	author = {Kook, Lucas and Herzog, Lisa and Hothorn, Torsten and D{\"u}rr, Oliver and Sick, Beate}
}
@conference {668,
	title = {DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency},
	booktitle = {2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning},
	year = {2022},
	author = {Matthias Hermann and Daniel Dold and Georg Umlauf and Oliver D{\"u}rr}
}
@article {708,
	title = {Design and Calibration of Plane Mirror Setups for Mobile Robots with a 2D-Lidar},
	journal = {Sensors},
	volume = {22},
	year = {2022},
	pages = {7830},
	issn = {1424-8220},
	doi = {10.3390/s22207830},
	url = {http://dx.doi.org/10.3390/s22207830},
	author = {Kibii, James E. and Dreher, Andreas and Wormser, Paul L. and Gimpel, Hartmut}
}
@article {670,
	title = {Fast and efficient image novelty detection based on mean-shifts},
	journal = {Sensors | Unusual Behavior Detection Based on Machine Learning },
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@conference {664,
	title = {Fast and memory-efficient independent component analysis using Lie group techniques},
	booktitle = {International Conference on Curves and Surfaces},
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Matthias O. Franz}
}
@conference {663,
	title = {Image novelty detection based on mean-shift and typical set size},
	booktitle = {21th International Conference on Image Analysis and Processing, ICIAP},
	year = {2022},
	author = {Matthias Hermann and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@conference {649,
	title = {Large-scale independent component analysis by speeding up Lie group techniques},
	booktitle = { International Conference on Acoustics, Speech, and Signal Processing, ICASSP},
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Matthias O. Franz}
}
@inbook {644,
	title = {Mathematik mit digitalen Bildern sichtbar  machen},
	booktitle = {Seamless Learning, Grenz- und kontext{\"u}bergreifendes Lehren und Lernen in  der Bodenseeregion},
	year = {2022},
	pages = {133-145},
	publisher = {Springer},
	organization = {Springer},
	author = {R. Axthelm}
}
@conference {665,
	title = {Targetless Lidar-camera registration using patch-wise mutual information},
	booktitle = {International Conference on Information Fusion},
	year = {2022},
	author = {Matthias Hermann and Dennis Griesser and Bernhard Gundel and Daniel Dold and Georg Umlauf and Matthias O. Franz}
}
@article {685,
	title = {Validation study of an algorithm based on artificial intelligence for automated computation of coronal parameters on preoperative AP X-rays},
	journal = {Brain and Spine},
	volume = {2},
	year = {2022},
	pages = {101156},
	author = {Adomeit, Sonja and Berlin, Clara and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@conference {686,
	title = {Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations},
	booktitle = {2021 International Conference on Data Mining Workshops (ICDMW)},
	year = {2021},
	pages = {398{\textendash}404},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Scharpf, Philipp and Hong, Chi Lap and D{\"u}rr, Oliver}
}
@conference {642,
	title = {Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations},
	booktitle = {2021 International Conference on Data Mining Workshops (ICDMW)},
	year = {2021},
	month = {07/2021},
	pages = {398-404},
	author = {Philipp Scharpf and Chi Lap Hong and Oliver Duerr}
}
@conference {629,
	title = {Biologically-inspired vs. CNN texture representations in novelty detection},
	booktitle = {Applications of Machine Learning 2021},
	year = {2021},
	pages = {118430I},
	publisher = {International Society for Optics and Photonics},
	organization = {International Society for Optics and Photonics},
	author = {Michael Grunwald and Matthias Hermann and Freiberg, Fabian and Matthias O. Franz}
}
@conference {624,
	title = {Deep transformation models: Tackling complex regression problems with neural network based transformation models},
	booktitle = {Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021},
	year = {2021},
	author = {Sick, Beate and Hothorn, Torsten and D{\"u}rr, Oliver}
}
@conference {640,
	title = {Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows},
	booktitle = {ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual},
	year = {2021},
	author = {Marcel Arpogaus and Marcus Vo{\ss} and Beate Sick and Mark Nigge-Uricher and Oliver D{\"u}rr}
}
@conference {687,
	title = {Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows},
	booktitle = {ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual},
	year = {2021},
	author = {Arpogaus, Marcel and Vo{\ss}, Marcus and Sick, Beate and Nigge-Uricher, Mark and D{\"u}rr, Oliver}
}
@article {641,
	title = {Transformation models for flexible posteriors in variational bayes},
	journal = {arXiv preprint},
	year = {2021},
	pages = {2106.00528},
	author = {Sefan H{\"o}rtling and Daniel Dold and Oliver D{\"u}rr and Beate Sick}
}
@proceedings {627,
	title = {CNN-Based Monocular 3D Ship Detection Using Inverse Perspective},
	year = {2020},
	author = {Dennis Griesser and Daniel Dold and Georg Umlauf and Matthias O. Franz}
}
@proceedings {626,
	title = {Damage Detection for Port Infrastructure by Means of Machine-Learning-Algorithms},
	year = {2020},
	month = {04/2020},
	author = {Frederic Hake and Matthias Hermann and Hamza Alkhatib and Christian Hesse and Karsten Holste and Georg Umlauf and Gael Kermarrec and Ingo Neumann}
}
@article {639,
	title = {Deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv preprint},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@article {625,
	title = {Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data},
	journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
	volume = {168},
	year = {2020},
	pages = {156 - 169},
	keywords = {Convolutional networks, Deep learning, Forest establishment, Object detection, Tree seedlings, Unmanned aerial vehicles},
	issn = {0924-2716},
	doi = {https://doi.org/10.1016/j.isprsjprs.2020.08.005},
	url = {http://www.sciencedirect.com/science/article/pii/S0924271620302136},
	author = {Grant D. Pearse and Alan Y.S. Tan and Michael S. Watt and Matthias O. Franz and Jonathan P. Dash}
}
@article {623,
	title = {Integrating uncertainty in deep neural networks for MRI based stroke analysis},
	journal = {Medical Image Analysis},
	volume = {65},
	year = {2020},
	pages = {101790},
	author = {Herzog, Lisa and Murina, Elvis and D{\"u}rr, Oliver and Wegener, Susanne and Sick, Beate}
}
@article {638,
	title = {Ordinal neural network transformation models: deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv e-prints},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@book {688,
	title = {Probabilistic deep learning: With python, keras and tensorflow probability},
	year = {2020},
	publisher = {Manning Publications},
	organization = {Manning Publications},
	author = {D{\"u}rr, Oliver and Sick, Beate and Murina, Elvis}
}
@book {621,
	title = {Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability},
	year = {2020},
	publisher = {Manning Publications},
	organization = {Manning Publications},
	isbn = {9781617296079},
	url = {https://www.manning.com/books/probabilistic-deep-learning},
	author = {Oliver D{\"u}rr and Beate Sick and Elvis Murina}
}
@conference {622,
	title = {Single Shot MC Dropout Approximation},
	booktitle = {ICML Workshop on Uncertainty and Robustness in Deep Learning},
	year = {2020},
	author = {Brach, Kai and Beate Sick and Oliver D{\"u}rr}
}
@inbook {614,
	title = {Beyond ImageNet: Deep Learning in Industrial Practice},
	booktitle = {Applied Data Science},
	year = {2019},
	pages = {205-232},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-030-11820-4},
	issn = {978-3-030-11821-1},
	doi = {https://doi.org/10.1007/978-3-030-11821-1_12},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-030-11821-1_12},
	author = {Stadelmann, Thilo and Tolkachev, Vasily and Sick, Beate and D{\"u}rr, Oliver}
}
@article {613,
	title = {Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks},
	year = {2019},
	url = {https://www.journals.elsevier.com/computers-and-electrical-engineering},
	author = {Rohrbach, Janick and Rainhard, Tobias and Sick, Beate and D{\"u}rr, Oliver}
}
@conference {604,
	title = {Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification},
	booktitle = {15th IAPR International Conference on Document Analysis and Recognition},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Marc-Peter Schambach and Matthias O. Franz}
}
@conference {617,
	title = {Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms},
	booktitle = {ICDAR-OST: The 2nd International Workshop on Open Services and Tools for Document Analysis},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Marc-Peter Schambach and Stephan von der N{\"u}ll and Martin Schall}
}
@conference {616,
	title = {Automatic classification of non-small cell lung cancer histologic sub-types by deep learning},
	booktitle = {VIRCHOWS ARCHIV},
	year = {2018},
	month = {09/18},
	pages = {108-108},
	publisher = {Springer},
	organization = {Springer},
	author = {Casanova, R and Murina, Elvis and Haberecker, M and Honcharova-Biletska, H and Vrugt, B and D{\"u}rr, Oliver and Sick, Beate and Soltermann, A}
}
@unpublished {599,
	title = {A concept for a multi-spectral snap-shot camera based on single-chip RGB sensor},
	year = {2018},
	pages = {Poster},
	author = {Robin Zirkler and Timo Eckhard and Bernd J{\"o}dicke}
}
@conference {595,
	title = {Deep Learning Parametrization for B-Spline Curve Approximation},
	booktitle = {2018 International Conference on 3D Vision (3DV)},
	year = {2018},
	pages = {691{\textendash}699},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Pascal Laube and M O Franz and Georg Umlauf}
}
@article {593,
	title = {Developing deep learning applications for life science and pharma industry},
	journal = {Drug research},
	volume = {68},
	year = {2018},
	pages = {305{\textendash}310},
	doi = {https://doi.org/10.1055/s-0043-124761},
	url = {https://doi.org/10.1055/s-0043-124761},
	author = {Siegismund, Daniel and Tolkachev, Vasily and Heyse, Stephan and Sick, Beate and D{\"u}rr, Oliver and Steigele, Stephan}
}
@article {657,
	title = {Fractal Curves from Prime Trigonometric Series},
	journal = {Fractal Fract.},
	volume = {2},
	year = {2018},
	doi = {DOI: 10.3390/fractalfract2010002},
	author = {Bohnet, Doris and Vartziotis, Dimitris}
}
@article {656,
	title = {GETOpt mesh smoothing: Putting GETMe in the framework of global optimization-based schemes},
	journal = {Finite Elem. Anal. Des.},
	volume = {147},
	year = {2018},
	chapter = {10},
	doi = {DOI:10.1016/j.finel.2018.04.010 },
	author = {Bohnet, Doris and Himpel, Benjamin and Vartziotis, Dimitris}
}
@conference {594,
	title = {Image Inpainting for High-Resolution Textures using CNN Texture Synthesis},
	booktitle = {Computer Graphics \& Visual Computing (CGVC)},
	year = {2018},
	publisher = {Eurographics Association},
	organization = {Eurographics Association},
	address = {Swansea UK},
	author = {Pascal Laube and Grunwald Michael and M O Franz and Georg Umlauf}
}
@book {637,
	title = {Learning to Cluster},
	year = {2018},
	author = {Benjamin Bruno Meier and Thilo Stadelmann and Oliver D{\"u}rr}
}
@article {524,
	title = {Learnt knot placement in B-spline curve approximation using support vector machines},
	journal = {Computer Aided Geometric Design},
	volume = {62},
	year = {2018},
	pages = {104{\textendash}116},
	author = {Pascal Laube and Franz, Matthias O. and Georg Umlauf}
}
@conference {522,
	title = {LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries},
	booktitle = {13th IAPR International Workshop on Document Analysis Systems},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Haiyan P. Buehrig and Marc-Peter Schambach and M O Franz}
}
@conference {521,
	title = {Multi-Dimensional Connectionist Classification: Reading Text in One Step},
	booktitle = {13th IAPR International Workshop on Document Analysis Systems},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {598,
	title = {Optical Surface Detection: A novelty detection approach based on CNN-encoded features},
	booktitle = {SPIE Optics and Photonics},
	year = {2018},
	month = {10/2018},
	pages = {10752 - 10752 - 13},
	author = {Grunwald, Michael and Matthias Hermann and Freiberg, Fabian and Matthias O. Franz}
}
@conference {597,
	title = {Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition},
	booktitle = {Visualization in Data Science (VDS at IEEE VIS) 2018},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Berlin/Germany},
	author = {Martin Schall and Dominik Sacha and Manuel Stein and M O Franz and Daniel A. Keim}
}
@conference {667,
	title = {Detection of variations in holter ECG recordings based on dynamic cluster analysis},
	booktitle = {International Conference on Intelligent Decision Technologies},
	year = {2017},
	author = {Hermann, Matthias and N. Madrid and R. Seepold}
}
@conference {525,
	title = {Evaluation of features for SVM-based classification of geometric primitives in point clouds},
	booktitle = {Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on},
	year = {2017},
	pages = {59{\textendash}62},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Pascal Laube and M O Franz and Georg Umlauf}
}
@article {658,
	title = {A geometric mesh smoothing algorithm related to  damped oscillations},
	journal = {Comput Methods Appl Mech Eng},
	volume = {326C},
	year = {2017},
	chapter = {102},
	doi = {DOI: 10.1016/j.cma.2017.07.019},
	author = {Bohnet, Doris and Vartziotis, Dimitris}
}
@conference {509,
	title = {Radiometric calibration of digital cameras using neural networks},
	booktitle = {Optics and Photonics for Information Processing XI},
	year = {2017},
	month = {08/2017},
	publisher = {SPIE - International Society for Optics and Photonics},
	organization = {SPIE - International Society for Optics and Photonics},
	doi = {10.1117/12.2272559},
	url = {http://dx.doi.org/10.1117/12.2272559},
	author = {Michael Grunwald and Pascal Laube and Martin Schall and Georg Umlauf and M O Franz}
}
@conference {666,
	title = {Analyzing environmental conditions and vital signs to increase healthy living},
	booktitle = {Mobile Networks for Biometric Data Analysis},
	year = {2016},
	author = {R Seepold and C Dermati and A Kostka and L Pfeil and R Lange and Hermann, Matthias and B Martinez}
}
@article {659,
	title = {Existence of an attractor for a geometric  tetrahedron transformation},
	journal = {Differential Geom. Appl.},
	volume = {49},
	year = {2016},
	chapter = {197},
	doi = {DOI: 10.1016/j.difgeo.2016.08.002},
	author = {Bohnet, Doris and Vartziotis, Dimitris}
}
@inbook {643,
	title = {Finite Element Simulation of a Macroscopic Model for Pedestrian Flow},
	booktitle = {Traffic and  Granular Flow},
	volume = {10.1007/978-3-319-33482-0_30},
	year = {2016},
	pages = {233{\textendash}240},
	publisher = {Springer},
	organization = {Springer},
	chapter = {15},
	author = {R. Axthelm}
}
@conference {505,
	title = {Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method},
	booktitle = {Conference: BW-CAR Symposium on Information and Communication Systems (SInCom)},
	year = {2016},
	month = {12/2016},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {491,
	title = {Increasing robustness of handwriting recognition using character n-gram decoding on large lexica},
	booktitle = {12th IAPR International Workshop on Document Analysis Systems},
	year = {2016},
	publisher = {IEEE},
	organization = {IEEE},
	keywords = {connectionist temporal classification, lexicon based decoding, long-short-term-memory, n-gram index, offline handwriting recognition, recurrent neural network},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@article {660,
	title = {Partially hyperbolic diffeomorphisms with  uniformly compact center foliation: quotient dynamics},
	journal = {Ergodic Theory  Dyn. Sys.},
	volume = {36},
	year = {2016},
	chapter = {1067},
	url = {https://doi.org/10.1017/etds.2014.102},
	author = {Bohnet, Doris and Bonatti, Christian}
}
@conference {503,
	title = {Radiometric calibration of digital cameras using sparse Gaussian processes},
	booktitle = {Workshop Farbbildverarbeitung},
	year = {2016},
	author = {Michael Grunwald and Jens Gansloser and M O Franz}
}
@conference {502,
	title = {A short survey on recent methods for cage computation},
	booktitle = {BW-CAR| SINCOM},
	year = {2016},
	pages = {37},
	author = {Pascal Laube and Georg Umlauf}
}
@inbook {662,
	title = {Von der Symmetriegruppe des Dreiecks zur Gl{\"a}ttung  von industriellen Netzen},
	booktitle = {Die Basis der Vielfalt - 10. Tagung der DGfGG},
	year = {2016},
	publisher = {Springer Vieweg},
	organization = {Springer Vieweg},
	address = {Wiesbaden},
	doi = {DOI:10.1007/978-3-658-14126-4 13},
	author = {Bohnet, Doris and Vartziotis, Dimitris}
}
@article {504,
	title = {Wahrnehmungsorientierte optische Inspektion von texturierten Oberfl{\"a}chen},
	journal = {INFORMATIK 2016, Lecture Notes in Informatics (LNI), Gesellschaft f{\"u}r Informatik},
	volume = {259},
	year = {2016},
	pages = {1963{\textendash}1968},
	author = {Michael Grunwald and M O Franz}
}
@conference {485,
	title = {On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties},
	booktitle = {Curves and Surfaces, 8th International Conference, Paris 2014},
	year = {2015},
	pages = {181-201},
	publisher = {Springer},
	organization = {Springer},
	author = {Klaus Denker and Bernd Hamann and Georg Umlauf},
	editor = {Boissonnat, J-D and Cohen, A and Gibaru, O and Gout, C and Lyche, T and Mazure, M-L and Schumaker, L L}
}
@article {695,
	title = {Partially hyperbolic diffeomorphisms with a uniformly compact center foliation: the quotient dynamics},
	journal = {Ergodic Theory and Dynamical Systems},
	volume = {36},
	year = {2015},
	pages = {1067{\textendash}1105},
	issn = {1469-4417},
	doi = {10.1017/etds.2014.102},
	url = {http://dx.doi.org/10.1017/etds.2014.102},
	author = {Bohnet, Doris and Bonatti, Christian}
}
@article {489,
	title = {Pixel-wise Hybrid Image Registration on Wood Decors},
	journal = {BW-CAR| SINCOM},
	year = {2015},
	pages = {24},
	isbn = { 978-3-00-051859-1},
	author = {Michael Grunwald and M{\"u}ller, J and Martin Schall and Pascal Laube and Georg Umlauf and M O Franz}
}
@conference {490,
	title = {Radiometric calibration of digital cameras using Gaussian processes},
	booktitle = {SPIE Optics+ Optoelectronics},
	year = {2015},
	publisher = {International Society for Optics and Photonics},
	organization = {International Society for Optics and Photonics},
	doi = {10.1117/12.2178601},
	author = {Martin Schall and Michael Grunwald and Georg Umlauf and M O Franz}
}
@conference {486,
	title = {{Support Vector Machines for Classification of Geometric Primitives in Point Clouds}},
	booktitle = {Curves and Surfaces, 8th International Conference, Paris 2014},
	year = {2015},
	pages = {80-95},
	publisher = {Springer},
	organization = {Springer},
	author = {Manuel Caputo and Klaus Denker and M O Franz and Pascal Laube and Georg Umlauf},
	editor = {Boissonnat, J-D and Cohen, A and Gibaru, O and Gout, C and Lyche, T and Mazure, M-L and Schumaker, L L}
}
@proceedings {488,
	title = {A Virtual-Reality 3d-Laser-Scan Simulation},
	year = {2015},
	pages = {68},
	author = {Malvin Danhof and Tarek Schneider and Pascal Laube and Georg Umlauf}
}
@conference {262,
	title = {Merging multiple 3d face reconstructions},
	booktitle = {Symposium on Information and Communication Systems},
	year = {2014},
	pages = {7-12},
	author = {Leonard Thie{\ss}en and Pascal Laube and M O Franz and Georg Umlauf},
	editor = {Dirk Benyoucef and Christoph Reich}
}
@article {661,
	title = {Codimension one partially hyperbolic diffeomorphisms with a  uniformly compact center foliation},
	journal = {J. Mod. Dyn.},
	volume = {7},
	year = {2013},
	chapter = {565},
	url = {http://dx.doi.org/10.3934/jmd.2013.7.565},
	author = {Bohnet, Doris}
}
@conference {198,
	title = {On-line reconstruction of CAD geometry},
	booktitle = {International Conference on 3d Vision},
	year = {2013},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Klaus Denker and Daniel Hagel and Jakob Raible and Georg Umlauf and Bernd Hamann}
}
@conference {192,
	title = {3d hand gesture recognition based on sensor fusion of commodity hardware},
	booktitle = {Mensch und Computer},
	year = {2012},
	publisher = {Oldenbourg Verlag},
	organization = {Oldenbourg Verlag},
	author = {Manuel Caputo and Klaus Denker and Benjamin Dums and Georg Umlauf},
	editor = {H.~Reiterer and O.~Deussen}
}
@conference {187,
	title = {A hand-held laser scanner based on multi-camera stereo-matching},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2012},
	author = {Christoph Bender and Klaus Denker and Markus Friedrich and Kai Hirt and Georg Umlauf}
}
@article {200,
	title = {An accurate real-time multi-camera matching on the GPU for 3d reconstruction},
	journal = {Journal of WSCG},
	volume = {19},
	year = {2011},
	pages = {9-16},
	author = {Klaus Denker and Georg Umlauf}
}
@conference {188,
	title = {Finite element analysis for linear elastic solids based on subdivision schemes},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2011},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@article {199,
	title = {Real-time triangulation of point streams},
	journal = {Engineering with Computers},
	volume = {27},
	year = {2011},
	pages = {67-80},
	author = {Klaus Denker and Burkhard Lehner and Georg Umlauf}
}
@conference {201,
	title = {Survey on benchmarks for a GPU based multi camera stereo matching algorithm},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2011},
	author = {Klaus Denker and Georg Umlauf}
}
@article {186,
	title = {Adaptive and feature-preserving subdivision for high-quality tetrahedral meshes},
	journal = {Computer Graphics Forum},
	volume = {29},
	year = {2010},
	pages = {117-127},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@conference {194,
	title = {Adaptive tetrahedral subdivision for finite element analysis},
	booktitle = {Computer Graphics International, Singapore 2010},
	year = {2010},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf},
	editor = {N.N.}
}
@conference {213,
	title = {Generalized swap operation for tetrahedrizations},
	booktitle = {Scientific Visualization: Advanced Concepts},
	year = {2010},
	publisher = {Schloss Dagstuhl{\textendash}Leibniz Center for Informatics},
	organization = {Schloss Dagstuhl{\textendash}Leibniz Center for Informatics},
	author = {Burkhard Lehner and Bernd Hamann and Georg Umlauf},
	editor = {H.~Hagen}
}
@conference {183,
	title = {Geometric properties of the adaptice Delaunay tessellation},
	booktitle = {Mathematical Methods of Curves and Surfaces, Tondsberg 2008},
	year = {2010},
	author = {Tom Bobach and Alexandru Constantiniu and Paul Steinmann and Georg Umlauf},
	editor = {D{\ae}hlen, M. and Floater, M.S. and Lyche, T. and Merrien, J.-L. and Morken, K. and Schumaker, L.L.}
}
@article {220,
	title = {Iso-geometric analysis based on Catmull-Clark solid subdivision},
	journal = {Computer Graphics Forum},
	volume = {29},
	year = {2010},
	pages = {1575-1784},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@article {202,
	title = {Natural neighbor extrapolation using ghost points},
	journal = {Computer Aided-Design},
	volume = {41},
	year = {2009},
	pages = {350-365},
	author = {Tom Bobach and Gerald Farin and Dianne Hansford and Georg Umlauf}
}
@article {182,
	title = {The adaptive Delaunay tesselation: A neighborhood covering meshing technique},
	journal = {Computational Mechanics},
	volume = {42},
	year = {2008},
	pages = {655-669},
	author = {Alexandru Constantiniu and Paul Steinmann and Tom Bobach and Gerald Farin and Georg Umlauf}
}
@article {216,
	title = {Local energy-optimizing subdivision algorithms},
	journal = {Computer Aided Geometric Design},
	volume = {25},
	year = {2008},
	pages = {137-147},
	author = {Ingo Ginkel and Georg Umlauf}
}
@conference {207,
	title = {Online triangulation of laser-scan data},
	booktitle = {Proceedings of the 17th International Meshing Roundtable 2008},
	year = {2008},
	author = {Klaus Denker and Burkhard Lehner and Georg Umlauf},
	editor = {R.~Garimella}
}
@article {222,
	title = {Symmetry of shape charts},
	journal = {Computer Aided Geometric Design},
	volume = {25},
	year = {2008},
	pages = {131-136},
	author = {Ingo Ginkel and Georg Umlauf}
}
@conference {195,
	title = {Video compression using data-dependent triangulations},
	booktitle = {Computer Graphics and Visualization {\textquoteright}08},
	year = {2008},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann},
	editor = {Y.~Xiao and E.~ten Thij}
}
@article {196,
	title = {Analyzing a generalized Loop subdivision scheme},
	journal = {Computing},
	volume = {79},
	year = {2007},
	pages = {353-363},
	author = {Ingo Ginkel and Georg Umlauf}
}
@conference {185,
	title = {Discrete harmonic functions from local coordinates},
	booktitle = {Mathematics of Surfaces XII},
	year = {2007},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Tom Bobach and Gerald Farin and Dianne Hansford and Georg Umlauf},
	editor = {R.~Martin and M.~Sabin and J.~Winkler}
}
@conference {203,
	title = {Embedded vertex shader in {FPGA}},
	booktitle = {Embedded System Design: Topics, Techniques and Trends},
	year = {2007},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Lars Middendorf and Felix M{\"u}hlbauer and Georg Umlauf and Christophe Bobda},
	editor = {A. Rettberg et al.}
}
@conference {209,
	title = {Image Compression Using Data-Dependent Triangulations},
	booktitle = {Advances in Visual Computing},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann},
	editor = {George Bebis et al.}
}
@conference {190,
	title = {Natural neighbor concepts in scattered data interpolation and discrete function approximation},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2007},
	author = {Tom Bobach and Georg Umlauf},
	editor = {H.~Hagen and M.~Hering-Bertram and C.~Garth}
}
@article {191,
	title = {Normals of subdivision surfaces and their control polyhedra},
	journal = {Computer Aided Geometric Design},
	volume = {24},
	year = {2007},
	pages = {112-116},
	author = {Ingo Ginkel and J{\"o}rg Peters and Georg Umlauf}
}
@mastersthesis {648,
	title = {Numerische Simulation von Zwei-Phasen Str{\"o}mungen mit inkompressiblen Navier-Stokes Gleichungen und freiem Kapillarrand},
	year = {2007},
	month = {08/2007},
	school = {Albert-Ludwigs-Universit{\"a}t Freiburg},
	type = {Diss},
	address = {Freiburg i. Br.},
	keywords = {Capillary Boundary Condition, incompressible Flow, Navier-Stokes Equation, Two-Phase Flow},
	url = {https://freidok.uni-freiburg.de/data/3346},
	author = {Axthelm, R.}
}
@inbook {702,
	title = {Stochastic modelling of ion diffusion in complex systems},
	booktitle = {Anomalous Diffusion From Basics to Applications},
	year = {2007},
	pages = {175{\textendash}185},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	isbn = {9783540654162},
	doi = {10.1007/bfb0106841},
	url = {http://dx.doi.org/10.1007/bfb0106841},
	author = {Dieterich, W. and D{\"u}rr, O. and Pendzig, P. and Nitzan, A.}
}
@conference {212,
	title = {Survey of techniques for data-dependent triangulations},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2007},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann},
	editor = {H.~Hagen and M.~Hering-Bertram and C.~Garth}
}
@conference {206,
	title = {Tuning subdivision algorithms using constrained energy minimization},
	booktitle = {Mathematics of Surfaces XII},
	year = {2007},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Ingo Ginkel and Georg Umlauf},
	editor = {R.~Martin and M.~Sabin and J.~Winkler}
}
@conference {181,
	title = {Comparison of Voronoi based scatterd data interpolation schemes},
	booktitle = {Proceedings of the Internationl Conference on Visualization, Imaging and Image Processing},
	year = {2006},
	author = {Tom Bobach and Martin Bertram and Georg Umlauf},
	editor = {J.J.~Villanueva}
}
@conference {184,
	title = {Controlling a subdivision tuning method},
	booktitle = {Curve and Surface Fitting},
	year = {2006},
	author = {Ingo Ginkel and Georg Umlauf},
	editor = {A.~Cohen and J.-L.~Merrien and L.L.~Schumaker}
}
@conference {208,
	title = {Issues and implementation of C^1 and C^2 natural neighbor interpolation},
	booktitle = {Advances in Visual Computing. Part II},
	year = {2006},
	author = {Tom Bobach and Martin Bertram and Georg Umlauf},
	editor = {G.~Bebis et al.}
}
@conference {219,
	title = {Loop subdivision with curvature control},
	booktitle = {Eurographics Symposium on Geometry Processing},
	year = {2006},
	publisher = {Eurographics},
	organization = {Eurographics},
	author = {Ingo Ginkel and Georg Umlauf},
	editor = {K.~Polthier and A.~Sheffer}
}
@conference {701,
	title = {Multivariate analysis of siRNA/high content screening data},
	year = {2006},
	author = {Duerr, Oliver and Heyse, Stephan}
}
@conference {189,
	title = {Natural neighbor interpolation and order of continuity},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2006},
	author = {Tom Bobach and Georg Umlauf},
	editor = {H.~Hagen and A.~Kerren and P.~Dannenmann}
}
@article {223,
	title = {Parametrizations for triangular G^k spline surfaces of low degree},
	journal = {ACM Transactions on Graphics},
	volume = {24},
	year = {2006},
	pages = {1281-1293},
	author = {Hartmut Prautzsch and Georg Umlauf}
}
@conference {211,
	title = {Topographic distance functions for interpolation of meteorological data},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2006},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann and Susan Ustin},
	editor = {H.~Hagen and A.~Kerren and P.~Dannenmann}
}
@conference {217,
	title = {Analysis and tuning of subdivision schemes},
	booktitle = {Proceedings of Spring Conference on Computer Graphics SCCG 2005},
	year = {2005},
	publisher = {ACM Press},
	organization = {ACM Press},
	author = {Georg Umlauf},
	editor = {B.~J{\"u}ttler}
}
@conference {215,
	title = {On normals and control nets},
	booktitle = {Mathematics of Surfaces XI},
	year = {2005},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Ingo Ginkel and J{\"o}rg Peters and Georg Umlauf},
	editor = {R.~Martin and H.~Bez and M.~Sabin pages = 233-239}
}
@conference {218,
	title = {A technique for verifying the smoothness of subdivision schemes},
	booktitle = {Geometric Modeling and Computing: Seattle 2003},
	year = {2004},
	publisher = {Nashboro Press},
	organization = {Nashboro Press},
	author = {Georg Umlauf},
	editor = {M.L.~Lucian and M.~Neamtu}
}
@article {197,
	title = {Computing curvature bounds for bounded curvature subdivision},
	journal = {Computer Aided Geometric Design},
	volume = {18},
	year = {2001},
	pages = {455-462},
	author = {J{\"o}rg Peters and Georg Umlauf}
}
@article {214,
	title = {Analyzing the characteristic map of triangular subdivision schemes},
	journal = {Constructive Approximation},
	volume = {16},
	year = {2000},
	pages = {145-155},
	author = {Georg Umlauf}
}
@article {204,
	title = {A G^1 and a G^2 subdivision scheme for trinagular nets},
	journal = {International Journal on Shape Modelling},
	volume = {6},
	year = {2000},
	pages = {21-35},
	author = {Hartmut Prautzsch and Georg Umlauf}
}
@conference {221,
	title = {Gaussian and mean curvature of subdivision surfaces},
	booktitle = {The Mathematics of Surfaces IX},
	year = {2000},
	author = {J{\"o}rg Peters and Georg Umlauf},
	editor = {R.~Cipolla and R.~Martin}
}
@conference {225,
	title = {Improved triangular subdivision schemes},
	booktitle = {Proceedings of the CGI {\textquoteright}98},
	year = {1999},
	author = {Hartmut Prautzsch and Georg Umlauf},
	editor = {F.-E.~Wolter and N.M.~Patrikalakis}
}
@conference {224,
	title = {Triangular G^2 splines},
	booktitle = {Curve and Surface Design},
	year = {1999},
	publisher = {Vanderbilt University Press},
	organization = {Vanderbilt University Press},
	author = {Hartmut Prautzsch and Georg Umlauf},
	editor = {P.-L.~Laurent and P.~Sablonniere and L.L.~Schumaker}
}
@article {205,
	title = {A G^2 subdivision algorithm},
	journal = {Computing},
	volume = {13},
	year = {1998},
	pages = {217-224},
	author = {Hartmut Prautzsch and Georg Umlauf}
}
