Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current
methods still cannot reliably estimate moving humans in global coordinates, which is critical …

Autonomous robotic systems operating in human environments must understand their
surroundings to make accurate and safe decisions. In crowded human scenes with close-up …

We present a new large dataset of indoor human and robot navigation and interaction,
called THÖR-MAGNI, that is designed to facilitate research on social human navigation: for …

Understanding and analyzing human behaviors (actions and interactions of people), voices,
and sounds in chaotic events is crucial in many applications, eg, crowd management …

Autonomous systems, that need to operate in human environments and interact with the
users, rely on understanding and anticipating human activity and motion. Among the many …

To obtain a more comprehensive activity understanding for a crowded scene, in this paper,
we propose a new problem of panoramic human activity recognition (PAR), which aims to …

Human activity recognition is a crucial domain in computer science and artificial intelligence
that involves the Detection, Classification, and Prediction of human activities using sensor …

Panoramic activity recognition is required to jointly identify multi-granularity human
behaviors including individual actions, group activities, and global activities in multi-person …

Understanding human social behaviour is crucial in computer vision and robotics. Micro-
level observations like individual actions fall short necessitating a comprehensive approach …