Biblio
Export 40 results:
Author Title Type [ Year
Filters: First Letter Of Last Name is W [Clear All Filters]
Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
(Goebel, M., Lang U., Landauer J., & Walper M., Ed.).{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
(1998). VS-neurons as matched filters for self-motion-induced optic flow fields.
(Elsner, N., & Wehner R., Ed.).{New Neuroethology on the Move}. II, 419.
(1998). 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)
(1999). 
Improved triangular subdivision schemes.
(Wolter, F.-E., & Patrikalakis N.M., Ed.).Proceedings of the CGI '98.
TriSub.pdf (1.73 MB)
(1999). 
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)
(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}.
(2002). Constraints measures and reproduction of style in robot imitation learning.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 70.
(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.
(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). Learning depth.
(Bülthoff, H. H., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 7. Tübinger Wahrnehmungskonferenz (TWK 2004)}. 68.
Sinz et al Learning depth 2004.pdf (197 KB)
(2004). 
Face detection – efficient and rank deficient.
(Saul, L. K., Weiss Y., & Bottou L., Ed.).{Advances in Neural Information Processing Systems 17}. 673–680.
Kienzle et al._2005_Face Detection --- Efficient and Rank Deficient.pdf (145.73 KB)
(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)
(2005). 
Learning an interest operator from human eye movements.
(Schmid, C., Soatto S., & Tomasi C., Ed.).{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)
(2006). 
Learning eye movements.
{Proc. Sensory Coding and the Natural Environment 2006}.
(2006). Center-surround filters emerge from optimizing predictivity in a free-viewing task.
{Proc. of the Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)}.
(2007). Discrete harmonic functions from local coordinates.
(Martin, R., Sabin M., & Winkler J., Ed.).Mathematics of Surfaces XII.
HarmonicFunc.pdf (835.96 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)
(2007). 
Learning the influence of spatio-temporal variations in local image structure on visual saliency.
(Bülthoff, H. H., Chatziastros A., Mallot H. A., & Ulrich R., Ed.).{Proc. 10. Tübinger Wahr\-neh\-mungs\-konferenz (TWK 2007)}. 63.
(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.
(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)
(2007). 
Tuning subdivision algorithms using constrained energy minimization.
(Martin, R., Sabin M., & Winkler J., Ed.).Mathematics of Surfaces XII.
SubEnergyOpt.pdf (828.98 KB)
(2007). 
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)
(2013). 
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)
(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)
(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)
(2014). 