Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

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

Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …

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 …

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 …

In group activity recognition, the temporal dynamics of the whole activity can be inferred
based on the dynamics of the individual people representing the activity. We build a deep …

Action quality assessment (AQA) has become an emerging topic since it can be extensively
applied in numerous scenarios. However, most existing methods and datasets focus on …

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 …

This work aims to address the group activity recognition problem by exploring human motion
characteristics. Traditional methods hold that the motions of all persons contribute equally to …