Heterogeneous modal collaborative training network for human action recognition
Authors:
- Chenglong XuCXChenglong Xu
- Xiao YunXYXiao Yun
- Yanjing SunYSYanjing Sun
- Kaiwen DongKDKaiwen Dong
- 27 May 2025
- journal article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 323
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62071472)
- China University of Mining and Technology (2024WLJCRCZL128)
This publication has 20 references indexed in Scilit:
- Skeleton-based action recognition through attention guided heterogeneous graph neural networkKnowledge-Based Systems, 2024
- Variation-aware directed graph convolutional networks for skeleton-based action recognitionKnowledge-Based Systems, 2024
- CANet: Comprehensive Attention Network for video-based action recognitionKnowledge-Based Systems, 2024
- DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detectionKnowledge-Based Systems, 2024
- A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton ModalitiesExpert Systems with Applications, 2023
- Human-centric multimodal fusion network for robust action recognitionExpert Systems with Applications, 2023
- Informed Patch Enhanced HyperGCN for skeleton-based action recognitionInformation Processing & Management, 2022
- Sequential inter-hop graph convolution neural network (SIhGCN) for skeleton-based human action recognitionExpert Systems with Applications, 2022
- Mixed graph convolution and residual transformation network for skeleton-based action recognitionApplied Intelligence, 2021
- On Space-Time Interest PointsInternational Journal of Computer Vision, 2005