Traffic prediction is crucial for urban planning and transportation management, and deep
learning techniques have emerged as effective tools for this task. While previous works have …

Snapshot Compressive Imaging (SCI) is a technique for capturing high-dimensional data
through snapshot measurements using a two-dimensional (2D) detector. This approach is …

The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-
dimensional (HD) data depends on the advent of novel optical designs to sample the HD …

The advent of event cameras, with their unique asynchronous sensing capabilities to
capture the edge details of moving objects, has sparked new directions in video generation …

With advances in optical sensor technology, heterogeneous camera systems are
increasingly used for high-resolution (HR) video acquisition and analysis. However, motion …

This paper considers the deep-learning-aided compressed video sensing problem. To this
end, a deep generative adversarial network has been proposed to provide an approximation …

This study introduces object detection within Electro-Optical (EO) systems utilizing Snapshot
Compressive Imaging (SCI). Traditional EO systems often suffer from extensive processing …

Low-light imaging is challenging, especially in scenarios like nighttime or dim indoor
environments, where images often suffer from color distortion and noise. Traditional RGB …

Abstract Wireless Visual Sensor Network (WVSN) has become a valuable tool in addressing
the evolving needs of modern monitoring systems. Encoding in WVSNs is a multifaceted …