18 citations · 27 across the 4 of their papers we have counts for
4 papers · 1 filter
Unsupervised and Generic Short-Term Anticipation of Human Body Motions
Kristina Enes, Hassan Errami, Moritz Wolter +4
Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and expla…
Bonn Activity Maps: Dataset Description
Julian Tanke, Oh-Hun Kwon, Patrick Stotko +9
The key prerequisite for accessing the huge potential of current machine learning techniques is the availability of large databases that capture the complex relations of interest.…
Human Motion Anticipation with Symbolic Label
Julian Tanke, Andreas Weber, Juergen Gall
Anticipating human motion depends on two factors: the past motion and the person's intention. While the first factor has been extensively utilized to forecast short sequences of hu…
Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks
R. Bradford, J. H. Davenport, M. England +8
We consider a problem from biological network analysis of determining regions in a parameter space over which there are multiple steady states for positive real values of variables…