Biblio
(2016). Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.
12th IAPR International Workshop on Document Analysis Systems.
Schall et al_2016_Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.pdf (440.82 KB)
(2010). The influence of the image basis on modeling and steganalysis performance.
{Proc. 12th Intl. Conf. on Information Hiding (IH-2010)}. 133–144.
Schwamberger et al._2010_The Influence of the Image Basis on Modeling and Steganalysis Performance.pdf (392.83 KB)
(2002). Insect-inspired estimation of self-motion.
{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)
(2004). Kernel Hebbian algorithm for single-frame super-resolution.
{Statistical Learning in Computer Vision (SLCV 2004), ECCV 2004 Workshop, Prague}. 135–149.
Kim, Franz, Schölkopf_2004_Kernel Hebbian algorithm for single-frame super-resolution.pdf (2.22 MB)
(2005). Learning an interest operator from eye movements.
{Proc. Workshop on Bioinspired Information Processing 2005}.
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
(2006). Learning an interest operator from human eye movements.
{Beyond Patches Workshop, Intl. Conf. on Computer Vision and Pattern Recognition}. 1–8.
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
(2004). Learning depth.
{Proc. 7. Tübinger Wahrnehmungskonferenz (TWK 2004)}. 68.
Sinz et al Learning depth 2004.pdf (197 KB)
(2004). Learning depth from stereo.
{Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 245 – 252.
(2006). Learning eye movements.
{Proc. Sensory Coding and the Natural Environment 2006}.
(2014). Learning geometric primitives in point clouds.
Symposium on Geometry Processing, Cardiff 2014.
Caputo et al_2014_Learning geometric primitives in point clouds.pdf (630.12 KB)
(2006). Learning high-order MRF priors of color images.
{Proc. of the 23rd Intl. Conf. on Machine Learning (ICML 2006)}. 617–624.
McAuley et al._2006_Learning high-order MRF priors of color images.pdf (981.67 KB)
(2007). Learning the influence of spatio-temporal variations in local image structure on visual saliency.
{Proc. 10. Tübinger Wahr\-neh\-mungs\-konferenz (TWK 2007)}. 63.
(1997). Learning view graphs for robot navigation.
{Proc.\ 1.İntl.\ Conf.\ on Autonomous Agents}. 138 – 147.
Franz et al._1998_Learning View Graphs for Robot Navigation.pdf (1.26 MB)
(2003). Linear combinations of optic flow vectors for estimating self-motion-a real-world test of a neural model.
{Advances in Neural Information Processing Systems 15}. 1343–1350.
(2018). LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.
13th IAPR International Workshop on Document Analysis Systems.
2018-04 LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.pdf (145.78 KB)
(2014). Merging multiple 3d face reconstructions.
(Benyoucef, D., & Reich C., Ed.).Symposium on Information and Communication Systems. 7-12.
Merging3DFaceReconst.pdf (12.91 MB)
(2018). Multi-Dimensional Connectionist Classification: Reading Text in One Step.
13th IAPR International Workshop on Document Analysis Systems.
2018-04 Multi-Dimensional Connectionist Classification Reading Text in One Step.pdf (485.57 KB)
(2004). Multivariate Regression via Stiefel Manifold Constraints.
{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.
(1998). Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
(1998). Navigation mit Schnappschüssen..
{Mustererkennung 1998. Proc. of the 20th DAGM-Symposium}. 412-428.
Franz et al._1998_Navigation mit Schnappschüssen.pdf (300.5 KB)
(2007). Nonlinear receptive field analysis: making kernel methods interpretable.
{Proc. of the Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)}.
(2007). A nonparametric approach to bottom-up visual saliency.
{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)
(2002). Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons.
{SAB02 Workshop on Robotics as Theoretical Biology}.
(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)
(2017). Radiometric calibration of digital cameras using neural networks.
Optics and Photonics for Information Processing XI.

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