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

Human sensing and understanding is a key requirement for many intelligent systems, such
as smart monitoring, human-computer interaction, and activity analysis, etc. In this paper, we …

Multi-modal fusion is imperative to the implementation of reliable object detection and
tracking in complex environments. Exploiting the synergy of heterogeneous modal …

The majority of human detection methods rely on the sensor using visible lights (eg, RGB
cameras) but such sensors are limited in scenarios with degraded vision conditions. In this …

Target detection is pivotal for modern urban computing applications. While image-based
techniques are widely adopted, they falter under challenging environmental conditions such …

Indoor human monitoring systems are integral in various applications. They leverage a wide
range of sensors, including cameras, radio devices, and inertial measurement units, to …

Object boundary estimation, usually achieved by bounding box estimation, is crucial in
various applications, such as intelligent driving, which facilitates further interactions like …

Automated manufacturing is the cornerstone of the Industrial Internet-of-Things (IIoT)
ecosystem, where vibration monitoring technology is a critical tool for maintaining industrial …

Human faces have been widely adopted in many applications and systems requiring a high-
security standard. Although face authentication is deemed to be mature nowadays, many …

Complementary to prevalent LiDAR and camera systems, millimeter-wave (mmWave) radar
is robust to adverse weather conditions like fog, rainstorms, and blizzards but offers sparse …