Work

Auxiliary Tasks Benefit Skeleton-based Action Recognition

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10887882

Authors: Yuheng Yang, Haipeng Chen

Institutions: Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Technology Development

OpenAlex ID: W4408353468

FWCI:

Cites: 20

Cited by:

Related to: 10