Work

Event-based Few-shot Fine-grained Human Action Recognition

Year: 2024

Type: conference-paper

Source: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI: 10.1109/iros58592.2024.10801824

Authors: Zonglin Yang, Yan Yang, Yuheng Shi, Hao Yang, Ruikun Zhang, Liu Liu, Xinxiao Wu, Liyuan Pan

Institutions: Beijing Institute of Technology, Australian National University, Huawei Technologies (China)

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, Beijing Institute of Technology

OpenAlex ID: W4405787453

FWCI: 0.631

Cites: 43

Cited by: 3

Related to: 10