We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Our goal is to identify the key architectural and design issues related to Sensor Networks (SNs), evaluate the proposed solutions, and to outline the most challenging research dir...
—Enterprise computing is moving towards more open, collaborative systems. Joining a business network must be made efficient, despite the technical and semantic interoperability ...
We propose an online algorithm for planning under uncertainty in multi-agent settings modeled as DEC-POMDPs. The algorithm helps overcome the high computational complexity of solv...