Group activity recognition is a crucial yet challenging problem, whose core lies in fully
exploring spatial-temporal interactions among individuals and generating reasonable group …

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

Group activity recognition aims to understand the activity performed by a group of people. In
order to solve it, modeling complex spatio-temporal interactions is the key. Previous …

Group activity recognition (GAR) is a challenging task aimed at recognizing the behavior of a
group of people. It is a complex inference process in which visual cues collected from …

Group activity recognition is the task of understanding the activity conducted by a group of
people as a whole in a multi-person video. Existing models for this task are often impractical …

In this paper, we propose a new, simple, and effective Self-supervised Spatio-temporal
Transformers (SPARTAN) approach to Group Activity Recognition (GAR) using unlabeled …

Group activity recognition aims to recognize an overall activity in a multi-person scene.
Previous methods strive to reason on individual features. However, they under-explore the …

This paper presents a novel framework for social group activity recognition. As an expanded
task of group activity recognition, social group activity recognition requires recognizing …

Pose-based hand gesture recognition has been widely studied in the recent years.
Compared with full body action recognition, hand gesture involves joints that are more …

The causality relation modeling remains a challenging task for group activity recognition.
The causality relations describe the influence of some actors (cause actors) on other actors …