Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …

With the development of signal processing technology, the ubiquitous Wi-Fi devices open an
unprecedented opportunity to solve the challenging human gesture recognition problem by …

Wi-Fi based sensing systems, although sound as being deployed almost everywhere there
is Wi-Fi, are still practically difficult to be used without explicit adaptation efforts to new data …

Pedestrian trajectory prediction is an extremely challenging problem because of the
crowdedness and clutter of the scenes. Previous deep learning LSTM-based approaches …

This paper strives to recognize individual actions and group activities from videos. While
existing solutions for this challenging problem explicitly model spatial and temporal …

Modeling relation between actors is important for recognizing group activity in a multi-person
scene. This paper aims at learning discriminative relation between actors efficiently using …

Skeleton-based human action recognition has attracted a lot of research attention during the
past few years. Recent works attempted to utilize recurrent neural networks to model the …

This article aims to tackle the problem of group activity recognition in the multiple-person
scene. To model the group activity with multiple persons, most long short-term memory …

Human group activity recognition (GAR) has attracted significant attention from computer
vision researchers due to its wide practical applications in security surveillance, social role …

Learning spatial-temporal relation among multiple actors is crucial for group activity
recognition. Different group activities often show the diversified interactions between actors …