HAKE: A Knowledge Engine Foundation for Human Activity Understanding

Author:

Li Yong-Lu1ORCID,Liu Xinpeng2ORCID,Wu Xiaoqian2ORCID,Li Yizhuo2,Qiu Zuoyu2,Xu Liang2ORCID,Xu Yue2ORCID,Fang Hao-Shu2ORCID,Lu Cewu3ORCID

Affiliation:

1. Qing Yuan Research Institute, the Shanghai Jiao Tong University, Shanghai, China

2. Department of Computer Science and Engineering, the Shanghai Jiao Tong University, Shanghai, China

3. Qing Yuan Research Institute and MoE Key Lab of AI, AI Institute, Shanghai Jiao Tong University, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PPDM++: Parallel Point Detection and Matching for Fast and Accurate HOI Detection;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

2. Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-08-29

3. BPJDet: Extended Object Representation for Generic Body-Part Joint Detection;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-06

4. CKTN: Commonsense knowledge transfer network for human activity understanding;Knowledge-Based Systems;2024-02

5. Generative Action Description Prompts for Skeleton-based Action Recognition;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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