Privacy-Preserving Visual Recognition Framework for Surveillance
Abstract The widespread deployment of video surveillance systems has raised privacy awareness to the public. The main reason is that the facial attributes provide details about the identity of a subject and reveal other person-related information such as gender, race, and age. When humans are the dominant objects of interest in computer vision (CV) applications,
Applying Machine Learning to mitigate RF impairments in wireless communications systems
Abstract In traditional wireless communications systems, multiple complex digital signal processing blocks are designed to combat the imperfect radio frequency front-end components. However, due to Part-to-part, Voltage, and Temperature variation, an algorithm working well on one device may not work well on the others. Also, it is not efficient as each block needs to regularly