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pro vyhledávání: '"Troje, Nikolaus F."'
The following dataset supplements the publication Veto, Peter & Uhlig, Marvin & Troje, Nikolaus F., & Einhäuser, Wolfgang. (2018). Cognition modulates action-to-perception transfer in ambiguous perception. Journal of Vision. 18(8), 5. doi: 10.1167/1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a7ebffcac7c6397e12539f3ee17e485
We present ZeroEGGS, a neural network framework for speech-driven gesture generation with zero-shot style control by example. This means style can be controlled via only a short example motion clip, even for motion styles unseen during training. Our
Externí odkaz:
http://arxiv.org/abs/2209.07556
Publikováno v:
Computer Graphics Forum, 39 (2002), 39-Issue 8
We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while retaining the stochastic nature of human movement. The proposed architecture, which is designed
Externí odkaz:
http://arxiv.org/abs/2010.09950
Gait recognition, referring to the identification of individuals based on the manner in which they walk, can be very challenging due to the variations in the viewpoint of the camera and the appearance of individuals. Current methods for gait recognit
Externí odkaz:
http://arxiv.org/abs/2010.09084
Autor:
Ghorbani, Saeed, Mahdaviani, Kimia, Thaler, Anne, Kording, Konrad, Cook, Douglas James, Blohm, Gunnar, Troje, Nikolaus F.
Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucial to identify movements from videos or analyze datasets of movements. Here we introduce a new human M
Externí odkaz:
http://arxiv.org/abs/2003.01888
Akademický článek
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Publikováno v:
Computer Graphics International Conference, pp. 167-178. Springer, Cham, 2019
Optical marker-based motion capture is a vital tool in applications such as motion and behavioural analysis, animation, and biomechanics. Labelling, that is, assigning optical markers to the pre-defined positions on the body is a time consuming and l
Externí odkaz:
http://arxiv.org/abs/1907.13580
Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions limited, hampering progress on learning models of human motion. While
Externí odkaz:
http://arxiv.org/abs/1904.03278
Akademický článek
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