Although Deep Convolutional Neural Networks trained with strong pixel-level annotations have significantly pushed the performance in semantic segmentation, annotation efforts required for the creation of training data ...

With the rapid advancements in digital imaging systems and networking, low-cost hand-held image capture devices equipped with network connectivity are becoming ubiquitous. This ease of digital image capture and sharing is ...

In ACM CCS�17, Choudhuri et al. designed two fair public-ledger-based multi-party protocols (in the malicious model with dishonest majority) for computing an arbitrary function f. One of their protocols is based on a trusted ...

Consider a set of n images of a dynamic scene captured using multiple hand-held devices. The order in which these images are captured is unknown. For n images, there can be n! possible arrangements, which makes this problem ...

Demand Side Energy Management has now been established in the smart grid framework in order to meet the fluctuating demand supply gap that exists mainly during peak load periods. Along with the potential of energy efficiency ...

The rapid progress in the field of micro- and nano- electromechanical systems (MEMS and NEMS) coupled with the advent of nanotechnology have led to the development of a very promising field of bioMEMS. A typical example ...

Neuromorphic architectures have recently gained attention due to cognitive computing which requires parallel and distributed architectures. Eventbased neuromorphic architectures generally use Address-Event-Representation ...