We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Future CMPs will combine many simple cores with deep cache hierarchies. With more cores, cache resources per core are fewer, and must be shared carefully to avoid poor utilization...
Junli Gu, Steven S. Lumetta, Rakesh Kumar, Yihe Su...
We present here a theory of motion from a topological point of view, in a symbolic perspective. Taking space-time histories of objects as primitive entities, we introduce temporal...
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...