Biblio
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Author Title Type [ Year
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(2025). Paths and Ambient Spaces in Neural Loss Landscapes.
(Li, Y., Mandt S., Agrawal S., & Khan E., Ed.).Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. 10–18.
(2023). Deep transformation models for functional outcome prediction after acute ischemic stroke.
Biometrical Journal. 65, 2100379.
(2020). Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data.
ISPRS Journal of Photogrammetry and Remote Sensing. 168, 156 - 169.
(2016). Analyzing environmental conditions and vital signs to increase healthy living.
Mobile Networks for Biometric Data Analysis.
(2015). Deep Learning on a Raspberry Pi for Real Time Face Recognition..
Eurographics (Posters). 11–12.
(2015). Design of a dual species atom interferometer for space.
Experimental Astronomy. 39, 167-206.
Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
(2015). Design of a dual species atom interferometer for space.
Experimental Astronomy. 39, 167-206. Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
(2014). STE-QUEST — Test of the universality of free fall using cold atom interferometry.
Classical and Quantum Gravity. 31, 115010. Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
(2014). STE-QUEST — Test of the universality of free fall using cold atom interferometry.
Classical and Quantum Gravity. 31, 115010. Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
(2013). A compact high-performance frequency reference for space applications.
{29th Intl. Symposium on Space Technology and Science (ISTS 2013), Nagoya (Japan)}. Schuldt et al._2013_A Compact High-Performance Frequency Reference for Space Applications.pdf (369.85 KB)
Schuldt et al._2013_A Compact High-Performance Frequency Reference for Space Applications.pdf (369.85 KB)
(2007). A nonparametric approach to bottom-up visual saliency.
(Schölkopf, B., Platt J., & Hoffmann T., Ed.).{Advances in Neural Information Processing Systems 19}. 19, 689–696. Kienzle et al._2007_A nonparametric approach to bottom-up visual saliency.pdf (879.52 KB)
Kienzle et al._2007_A nonparametric approach to bottom-up visual saliency.pdf (879.52 KB)
(2007). Normals of subdivision surfaces and their control polyhedra.
Computer Aided Geometric Design. 24, 112-116. SubSurfContrPoly.pdf (272.28 KB)
SubSurfContrPoly.pdf (272.28 KB)
(2007). Stochastic modelling of ion diffusion in complex systems.
Anomalous Diffusion From Basics to Applications. 175–185.
(2006). Loop subdivision with curvature control.
(Polthier, K., & Sheffer A., Ed.).Eurographics Symposium on Geometry Processing. LoopSubCurv.pdf (6.03 MB)
LoopSubCurv.pdf (6.03 MB)
(2006). Parametrizations for triangular G^k spline surfaces of low degree.
ACM Transactions on Graphics. 24, 1281-1293. GkSplineSurf.pdf (539.25 KB)
GkSplineSurf.pdf (539.25 KB)
(2005). On normals and control nets.
(Martin, R., Bez H., & M. 233-239 S. pages =, Ed.).Mathematics of Surfaces XI. NormalsControlNets.pdf (117.42 KB)
NormalsControlNets.pdf (117.42 KB)
(2004). Implicit estimation of Wiener series.
(Barros, A., Principe J. C., Larsen J., Adali T., & Douglas S., Ed.).{Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop}. 735–744. Franz, Schölkopf_2004_Implicit estimation of Wiener series.pdf (191.86 KB)
Franz, Schölkopf_2004_Implicit estimation of Wiener series.pdf (191.86 KB)
(2002). Insect-inspired estimation of self-motion.
(Bülthoff, H. H., Lee S.-W., Poggio T. A., & Wallraven C., Ed.).{Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV 2002)}. 2525, 171-180. Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
(2002). Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons.
(Prescott, T., & Webb B., Ed.).{SAB02 Workshop on Robotics as Theoretical Biology}.
(2001). Computing curvature bounds for bounded curvature subdivision.
Computer Aided Geometric Design. 18, 455-462. CurvatBnd.pdf (179.48 KB)
CurvatBnd.pdf (179.48 KB)
(2001). Model studies of diffusion in glassy and polymer ion conductors.
arXiv preprint cond-mat/0106196.
(2000). A G^1 and a G^2 subdivision scheme for trinagular nets.
International Journal on Shape Modelling. 6, 21-35. G1G2TriAlgo.pdf (2.61 MB)
G1G2TriAlgo.pdf (2.61 MB)
(2000). Gaussian and mean curvature of subdivision surfaces.
(Cipolla, R., & Martin R., Ed.).The Mathematics of Surfaces IX. SubCurvat.pdf (112.52 KB)
SubCurvat.pdf (112.52 KB)
(1999). Can fly tangential neurons be used to estimate self-motion?.
(Willshaw, D., & Murray A., Ed.).{Proc. of the 9th Intl. Conf. on Artificial Neural Networks (ICANN 1999)}. CP 470, 994-999. Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
(1999). Improved triangular subdivision schemes.
(Wolter, F.-E., & Patrikalakis N.M., Ed.).Proceedings of the CGI '98. TriSub.pdf (1.73 MB)
TriSub.pdf (1.73 MB)