Biblio
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(2004). Learning depth.
{Proc. 7. Tübinger Wahrnehmungskonferenz (TWK 2004)}. 68.
Sinz et al Learning depth 2004.pdf (197 KB)
Sinz et al Learning depth 2004.pdf (197 KB)
(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)
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 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)
Kienzle et al._2006_Learning an Interest Operator from Human Eye Movements.pdf (1.41 MB)
(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)
Kim, Franz, Schölkopf_2004_Kernel Hebbian algorithm for single-frame super-resolution.pdf (2.22 MB)
(2005). Iterative kernel principal component analysis for image modeling.
IEEE Trans. PAMI. 27, 1351 – 1366. Kim, Franz, Schölkopf_2005_Iterative Kernel Principal Component Analysis for Image Modeling.pdf (1.98 MB)
Kim, Franz, Schölkopf_2005_Iterative Kernel Principal Component Analysis for Image Modeling.pdf (1.98 MB)
(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)
Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
(2004). Insect-inspired estimation of egomotion..
Neural Computation. 16, 2245–60.
(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)
Schwamberger et al._2010_The Influence of the Image Basis on Modeling and Steganalysis Performance.pdf (392.83 KB)
(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)
Schall et al_2016_Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.pdf (440.82 KB)
(2016). Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.
Conference: BW-CAR Symposium on Information and Communication Systems (SInCom). 2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
(2007). Implicit Wiener series for estimating nonlinear receptive fields.
{Proc. 31st Göttingen Neurobiolgy Conf.}. 1199.
(2004). Implicit Wiener series for capturing higher-order interactions in images.
{Proc. Sensory Coding and the Natural Environment 2004}.
(2009). Implicit Wiener series analysis of epileptic seizure recordings..
{Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}. 5304–5307. Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
(2006). Implicit Volterra and Wiener series for higher-order image analysis.
{Advances in Data Analysis 30th Ann. Conf. German Classification Society}. 60.
(2004). Implicit estimation of Wiener series.
{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)
(2018). Image Inpainting for High-Resolution Textures using CNN Texture Synthesis.
Computer Graphics & Visual Computing (CGVC). gcvc18.pdf (5.73 MB)
gcvc18.pdf (5.73 MB)
(2011). Hybrid face recognition based on real-time multi-camera stereo-matching.
Advances in Visual Computing, Proc. ISVC 2011, LNCS. 158–167. Hensler et al._2011_Hybrid face recognition based on real-time multi-camera stereo-matching.pdf (439.11 KB)
Hensler et al._2011_Hybrid face recognition based on real-time multi-camera stereo-matching.pdf (439.11 KB)
(2012). How to find relevant training data: a paired bootstrapping approach to blind steganalysis.
{4th IEEE Intl. Workshop on Information Forensics and Security (WIFS 2012)}. 228–233. Le, Franz_2012_How to find relevant training data A paired bootstrapping approach to blind steganalysis.pdf (476.58 KB)
Le, Franz_2012_How to find relevant training data A paired bootstrapping approach to blind steganalysis.pdf (476.58 KB)
(2007). How to find interesting locations in video: a spatiotemporal interest point detector learned from human eye movements.
{Lecture Notes in Computer Science: Pattern Recognition (DAGM 2007)}. 405–417. Kienzle et al._2007_How to find interesting locations in video a spatiotemporal interest point detector learned from human eye movements.pdf (377.26 KB)
Kienzle et al._2007_How to find interesting locations in video a spatiotemporal interest point detector learned from human eye movements.pdf (377.26 KB)
(1997). Homing by parameterized scene matching.
{Proc. 4th Europ. Conf. on Artificial Life}. 236 – 245.
(2003). Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.
{Proc. of the 11th International Conference on Advanced Robotics}. 2, 453–458. Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
(2005). Face detection – efficient and rank deficient.
{Advances in Neural Information Processing Systems 17}. 673–680. Kienzle et al._2005_Face Detection --- Efficient and Rank Deficient.pdf (145.73 KB)
Kienzle et al._2005_Face Detection --- Efficient and Rank Deficient.pdf (145.73 KB)
(2001). Extracting egomotion from optic flow: limits of accuracy and neural matched filters.
{Motion Vision: Computational, Neural and Ecological Constraints}. 143-168. Dahmen, Franz, Krapp_2001_Extracting egomotion from optic flow- limits of accuracy and neural matched filters.pdf (223.04 KB)
Dahmen, Franz, Krapp_2001_Extracting egomotion from optic flow- limits of accuracy and neural matched filters.pdf (223.04 KB)
(2017). Evaluation of features for SVM-based classification of geometric primitives in point clouds.
Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on. 59–62. paper.pdf (1.5 MB)
paper.pdf (1.5 MB)
(2004). Efficient approximations for support vector machines for object detection.
{Pattern Recognition, Proc. of the 26th DAGM Symposium}. 54–61. Kienzle, Bakır, Franz_2004_Efficient approximations for support vector machines for object detection.pdf (165.13 KB)
Kienzle, Bakır, Franz_2004_Efficient approximations for support vector machines for object detection.pdf (165.13 KB)