Scientists are increasingly using large distributed systems built from commodity off-the-shelf components to perform scientific computation. Grid computing has expanded the scale ...
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Cyber Physical Systems (CPSs) have grand visions with great socio-economic impacts such as blackout-free electricity supply and real-time disaster recovery. A key challenge is pro...
Large-scale 3D reconstruction has recently received much attention from the computer vision community. Bundle adjustment is a key component of 3D reconstruction problems. However,...