The combination of infrared and visible videos aims to gather more comprehensive feature
information from multiple sources and reach superior results on various practical tasks, such …

Safeguarding the data collected by smart meters is essential because the disclosure of this
information may threaten the privacy of the consumer. By obtaining them, hackers can find …

Cyberattacks capitalize on human behaviors. The prevalence of cyberattacks surged during
the COVID-19 pandemic, fueled by the increased interconnectivity of individuals on online …

Few-shot learning brings the machine close to human thinking which enables fast learning
with limited samples. Recent work considers local features to achieve contextual semantic …

For accurate segmentation, effective feature extraction has always been a challenging
problem, since the variability of appearance and the fuzziness of object boundaries …

Arbitrary-oriented object detection is vital for improving unmanned aerial vehicle (UAV)
sensing and has promising applications. However, challenges persist in detecting objects …

This paper investigates a novel unpaired video dehazing framework, which can be a good
candidate in practice by relieving pressure from collecting paired data. In such a paradigm …

The surge in demand for advanced operations in sports video analysis has underscored the
crucial role of multiple object tracking. This study addresses the escalating need for efficient …

In this research, we propose an energy-management scheme for domestic users, which
uses the load-shifting strategy of demand-side management (DSM). The research …

Single image dehazing and monocular depth estimation algorithms are crucial for
environmental perception for autonomous driving. However, few algorithms can …