A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
Graph convolutional neural network for human action recognition: A comprehensive survey
Video-based human action recognition is one of the most important and challenging areas
of research in the field of computer vision. Human action recognition has found many …
of research in the field of computer vision. Human action recognition has found many …
Groupformer: Group activity recognition with clustered spatial-temporal transformer
Group activity recognition is a crucial yet challenging problem, whose core lies in fully
exploring spatial-temporal interactions among individuals and generating reasonable group …
exploring spatial-temporal interactions among individuals and generating reasonable group …
Learning actor relation graphs for group activity recognition
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 …
scene. This paper aims at learning discriminative relation between actors efficiently using …
Actor-transformers for group activity recognition
This paper strives to recognize individual actions and group activities from videos. While
existing solutions for this challenging problem explicitly model spatial and temporal …
existing solutions for this challenging problem explicitly model spatial and temporal …
Host–parasite: Graph LSTM-in-LSTM for group activity recognition
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 …
scene. To model the group activity with multiple persons, most long short-term memory …
Spatio-temporal dynamic inference network for group activity recognition
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 …
order to solve it, modeling complex spatio-temporal interactions is the key. Previous …
Toward human activity recognition: a survey
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …
community has reported numerous approaches to perform HAR. Along with HAR …
HiGCIN: Hierarchical graph-based cross inference network for group activity recognition
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 of people. It is a complex inference process in which visual cues collected from …
Dual-AI: Dual-path actor interaction learning for group activity recognition
Learning spatial-temporal relation among multiple actors is crucial for group activity
recognition. Different group activities often show the diversified interactions between actors …
recognition. Different group activities often show the diversified interactions between actors …