This work presents an automatic technique for detection of abnormal events in crowds. Crowd behaviour is difficult to predict and might not be easily semantically translated. More...
Ernesto L. Andrade, Robert B. Fisher, Scott Blunsd...
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
We study a new class of decentralized algorithms for discrete optimization via simulation, which is inspired by the fictitious play algorithm applied to games with identical inte...
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...
We present an approach for extracting coherently sampled animated meshes from input sequences of incoherently sampled meshes representing a continuously evolving shape. Our approa...