Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

Abstract Raven's Progressive Matrices (RPMs) have been widely used to evaluate the visual
reasoning ability of humans. To tackle the challenges of visual perception and logic …

As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …

Unlike face recognition, gait recognition does not require the cooperation of human targets,
making it an attractive research area in both academia and industry. While there has been …

Sleep posture has a crucial impact on the incidence and severity of obstructive sleep apnea
(OSA). Therefore, the surveillance and recognition of sleep postures could facilitate the …

Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …

Privacy-preserving radar-based fall detection for older adults is becoming essential as falls
in adults above 65 years of age may result in death or a permanent physical disability. In this …

The paper explores the challenge of human identification through gait recognition within
biometric identification systems. It outlines the essential criteria for human biometric features …

Deep neural networks facilitate video question answering (VideoQA), but the real-world
applications on video streams such as CCTV and live cast place higher demands on the …