Biblio
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(2007). Survey of techniques for data-dependent triangulations.
(Hagen, H., Hering-Bertram M., & Garth C., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. 
TriangColorImg.pdf (3.64 MB)
TriangColorImg.pdf (3.64 MB)
(2025). Surrogate Model Using A U-NET-ConvLSTM Architecture For A Macroscopic Pedestrian Flow Model.
ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita. 300–306.
(2015). Support Vector Machines for Classification of Geometric Primitives in Point Clouds.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 80-95. Caputo et al_2015_Support vector machines for classification of geometric primitives in point clouds.pdf (2.64 MB)
Caputo et al_2015_Support vector machines for classification of geometric primitives in point clouds.pdf (2.64 MB)
(2000). Subliminale Darbietung verkehrsrelevanter Information in Kraftfahrzeugen.
(Bülthoff, H. H., Gegenfurtner K. R., & Mallot H. A., Ed.).{Proc. 3. Tübinger Wahrnehmungskonferenz (TWK 20009)}. 98.
(2013). Steganalysis in the presence of watermarked images.
{Proc. 9th Intl. Conf. on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP- 2013)}. 513–517. Le, Graf, Franz_2013_Steganalysis in the Presence of Watermarked Images.pdf (1.07 MB)
Le, Graf, Franz_2013_Steganalysis in the Presence of Watermarked Images.pdf (1.07 MB)
(2008). The statistics of plant echoes as perceived by echolocating bats.
{Proc. of the Computational and Systems Neuroscience Meeting 2008 (COSYNE 2008)}.
(2008). The statistics of plant echoes as perceived by echolocating bats.
{ASA Meeting Paris}.
(2008). The statistics of plant echoes as perceived by echolocating bats.
{Acoustics 08, Paris, SBN 978-2-9521105-4- 9 - EAN 9782952110549}. 123, DVD Proc..
(2016). Speaker Identification and Clustering using Convolution Neural Networks.
IEEE International workshop on Machine Learning for Signal Processing.
(2025). Solgenia—A test vessel toward energy-efficient autonomous water taxi applications.
Ocean Engineering.
(2020). Single Shot MC Dropout Approximation.
ICML Workshop on Uncertainty and Robustness in Deep Learning.
(2010). Single band statistics and steganalysis performance.
{Proc. 6th Intl. Conf. on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP-2010)}. 188–191. Le, Franz_2010_Single Band Statistics and Steganalysis Performance.pdf (206.46 KB)
Le, Franz_2010_Single Band Statistics and Steganalysis Performance.pdf (206.46 KB)
(2010). Simple algorithmic modifications for improving blind steganalysis performance.
{Proc. of the 2010 Workshop on Multimedia and Security (MM&Sec 2010)}. Schwamberger, Franz_2010_Simple Algorithmic Modifications for Improving Blind Steganalysis Performance.pdf (813.87 KB)
Schwamberger, Franz_2010_Simple Algorithmic Modifications for Improving Blind Steganalysis Performance.pdf (813.87 KB)
(2016). A short survey on recent methods for cage computation.
BW-CAR| SINCOM. 37. cagesurvSinCom.pdf (444.89 KB)
cagesurvSinCom.pdf (444.89 KB)
(2004). Semi-supervised kernel regression using whitened function classes.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 18 – 26. Franz et al._2004_Semi-supervised kernel regression using whitened function classes.pdf (198.7 KB)
Franz et al._2004_Semi-supervised kernel regression using whitened function classes.pdf (198.7 KB)
(2003). Robots with cognition?.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}.
(2003). A representation of complex movement sequences based on hierarchical spatio-temporal correspondence for imitation learning in robotics.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 74.
(1999). Recognition-triggered response and the view-graph approach to spatial cognition.
(Freksa, C., & Mark D. M., Ed.).{Spatial Information Theory - Cognitive and Computational Foundations of Geographic Information Science (COSIT 99)}. 1661, 367-380.
(2016). Radiometric calibration of digital cameras using sparse Gaussian processes.
Workshop Farbbildverarbeitung.
(2017). Radiometric calibration of digital cameras using neural networks.
Optics and Photonics for Information Processing XI.
(2015). Radiometric calibration of digital cameras using Gaussian processes.
SPIE Optics+ Optoelectronics. Schall et al_2015_Radiometric calibration of digital cameras using Gaussian processes.PDF (953.2 KB)
Schall et al_2015_Radiometric calibration of digital cameras using Gaussian processes.PDF (953.2 KB)
(2021). Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual.
(2021). Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual. Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
(2013). Potential and Limitations of Commercial Sentiment Detection Tools..
ESSEM@ AI* IA. 47–58.
(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.