SOTAVerified

Group Activity Recognition

Group Activity Recognition is a subset of human activity recognition problem which focuses on the collective behavior of a group of people, resulted from the individual actions of the persons and their interactions. Collective activity recognition is a basic task for automatic human behavior analysis in many areas like surveillance or sports videos.

Source: A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

Papers

Showing 1120 of 65 papers

TitleStatusHype
A Hierarchical Deep Temporal Model for Group Activity RecognitionCode0
SBGAR: Semantics Based Group Activity RecognitionCode0
Hierarchical Relational Networks for Group Activity Recognition and RetrievalCode0
DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball ImageCode0
Group Activity Recognition Using Joint Learning of Individual Action Recognition and People GroupingCode0
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity RecognitionCode0
Learning Actor Relation Graphs for Group Activity RecognitionCode0
Hierarchical Deep Temporal Models for Group Activity RecognitionCode0
Context Aware Group Activity Recognition0
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity0
Show:102550
← PrevPage 2 of 7Next →

No leaderboard results yet.