Publications

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University of Tübingen
Endres D, Christensen A, Omlor L, Giese MA. Emulating Human Observers with Bayesian Binning: Segmentation of Action Streams. ACM Transactions on Applied Perception (TAP) [Internet]. 2011 ;8:16:1-12. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Endres_TAP2011.pdf
Taubert N, Endres D, Christensen A, Giese MA. Shaking hands in latent space: modeling emotional interactions with Gaussian process latent variable models. In: Edelkamp S, Bach J {KI}2011, {LNAI} 7006. {KI}2011, {LNAI} 7006. Springer; 2011. pp. 330-334. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Taubert_KI2011.pdf
Christensen A, Ilg W, Giese MA. Spatiotemporal tuning of the facilitation of biological motion perception by concurrent motor execution. J Neurosci [Internet]. 2011 ;31:3493–3499. Available from: http://dx.doi.org/10.1523/JNEUROSCI.4277-10.2011
Taubert N, Christensen A, Endres D, Giese MA. Online Simulation of Emotional Interactive Behaviors with Hierarchical Gaussian Process Dynamical Models. Proceedings of the ACM Symposium on Applied Perception (ACM-SAP 2012) [Internet]. 2012 :25-32. Available from: http://dl.acm.org/citation.cfm?id=2338682
Christensen A, Borchers S, Himmelbach M. Effects of Pictorial Cues on Reaching Depend on the Distinctiveness of Target Objects. PLoS ONE [Internet]. 2013 ;8:e54230. Available from: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0054230
Taubert N, Löffler M, Ludolph N, Christensen A, Endres D, Giese MA. A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. Proceedings of the ACM Symposium on Applied Perception [Internet]. 2013 :41-44. Available from: http://doi.acm.org/10.1145/2492494.2492515
WP4-Adaptive-Modules
Taubert N, Christensen A, Endres D, Giese MA. Online Simulation of Emotional Interactive Behaviors with Hierarchical Gaussian Process Dynamical Models. Proceedings of the ACM Symposium on Applied Perception (ACM-SAP 2012) [Internet]. 2012 :25-32. Available from: http://dl.acm.org/citation.cfm?id=2338682

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