Xing Li

Orcid: 0000-0002-0881-0978

According to our database1, Xing Li authored at least 15 papers between 2019 and 2025.

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Bibliography

2025
Pig behavior dataset and Spatial-temporal perception and enhancement networks based on the attention mechanism for pig behavior recognition.
CoRR, March, 2025

GaitSTAGCN: Spatial-temporal attention graph convolutional networks for gait recognition.
Neurocomputing, 2025

PRG-Net: Point Relationship-Guided Network for 3D human action recognition.
Neurocomputing, 2025

2024
PointDMIG: a dynamic motion-informed graph neural network for 3D action recognition.
Multim. Syst., August, 2024

Multi-granular spatial-temporal synchronous graph convolutional network for robust action recognition.
Expert Syst. Appl., 2024

Efficient dual-stream neural networks: A modeling approach for inferring wild mammal behavior from video data.
Ecol. Informatics, 2024

Motion focus global-local network: Combining attention mechanism with micro action features for cow behavior recognition.
Comput. Electron. Agric., 2024

2023
Real-Time 3-D Human Action Recognition Based on Hyperpoint Sequence.
IEEE Trans. Ind. Informatics, August, 2023

PointMapNet: Point Cloud Feature Map Network for 3D Human Action Recognition.
Symmetry, February, 2023

Spatial and temporal information fusion for human action recognition via Center Boundary Balancing Multimodal Classifier.
J. Vis. Commun. Image Represent., February, 2023

2022
Human action recognition based on enhanced data guidance and key node spatial temporal graph convolution.
Multim. Tools Appl., 2022

VirtualActionNet: A strong two-stream point cloud sequence network for human action recognition.
J. Vis. Commun. Image Represent., 2022

2021
SequentialPointNet: A strong parallelized point cloud sequence network for 3D action recognition.
CoRR, 2021

2020
Human action recognition based on 3D body mask and depth spatial-temporal maps.
Multim. Tools Appl., 2020

2019
Bidirectional Removal of Reverse Gravitational Acceleration Based on Data Segmentation.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019


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