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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 65 papers

TitleStatusHype
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables—0
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality—0
Actor-Transformers for Group Activity Recognition—0
A Heat-Map-based Algorithm for Recognizing Group Activities in Videos—0
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition—0
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
A new network-based algorithm for human activity recognition in video—0
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
Attentive pooling for Group Activity Recognition—0
REACT: Recognize Every Action Everywhere All At Once—0
Show:102550
← PrevPage 4 of 7Next →

No leaderboard results yet.