Augmented skeleton sequences with hypergraph network for self-supervised group activity recognition-Reference-Cited by-同舟云学术

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Augmented skeleton sequences with hypergraph network for self-supervised group activity recognition

Published:2024-08 Issue: Volume:152 Page:110478
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Guoquan,Liu Mengyuan,Liu Hong,Guo Peini,Wang Ti^ORCID,Guo Jingwen,Fan Ruijia^ORCID

Funder

Natural Science Foundation of Shenzhen Municipality

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference55 articles.

1. Self-supervised global spatio-temporal interaction pre-training for group activity recognition;Du;TCSVT,2023

2. Contextualized relation predictive model for self-supervised group activity representation learning;Zhou;TMM,2023

3. Relation-mining self-attention network for skeleton-based human action recognition;Gedamu;PR,2023

4. A hierarchical deep temporal model for group activity recognition;Ibrahim,2016

5. Social roles in hierarchical models for human activity recognition;Lan,2012

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