Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …

Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …

Predicting the future trajectories of multiple interacting pedestrians in a scene has become
an increasingly important problem for many different applications ranging from control of …

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

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

We focus on the problem of predicting future states of entities in complex, real-world driving
scenarios. Previous research has approached this problem via low-level signals to predict …

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 …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

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