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1 Ergebnisse
1
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation ..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Liu, Hanbing
;
He, Jun-Yan
;
Cheng, Zhi-Qi
... - p. 5542-5551 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3612368
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3612368&Exemplar=1&LAN=DE A1 Liu, Hanbing A1 He, Jun-Yan A1 Cheng, Zhi-Qi A1 Xiang, Wangmeng A1 Yang, Qize A1 Chai, Wenhao A1 Wang, Gaoang A1 Bao, Xu A1 Luo, Bin A1 Geng, Yifeng A1 Xie, Xuansong PB ACM YR 2023 K1 3d human pose estimation K1 diffusion model K1 domain-adaptation K1 low-rank adaptation K1 multi-hypothesis K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Mixture modeling K1 Computer vision tasks K1 Activity recognition and understanding SP 5542 OP 5551 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3612368 DO https://dl.acm.org/doi/10.1145/3581783.3612368 SF ELIB - SuUB Bremen
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