Výsledky vyhledávání - "dual-space fusion"

Akademický článek

Probabilistic Dual-Space Fusion for Real-Time Human-Robot Interaction.

Autor: Li, Yihui^1,2 (AUTHOR) liyihui.ing@gmail.com, Wu, Jiajun^1,2 (AUTHOR) 2112101012@mail2.gdut.edu.cn, Chen, Xiaohan^1,2 (AUTHOR) 2112001215@mail2.gdut.edu.cn, Guan, Yisheng^1,2 (AUTHOR) ysguan@gdut.edu.cn

Publikováno v: Biomimetics (2313-7673). Oct2023, Vol. 8 Issue 6, p497. 24p.

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DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment

Autor: Li, Heyuan, Wang, Bo, Cheng, Yu, Kankanhalli, Mohan, Tan, Robby T.

Sensitivity to severe occlusion and large view angles limits the usage scenarios of the existing monocular 3D dense face alignment methods. The state-of-the-art 3DMM-based method, directly regresses the model's coefficients, underutilizing the low-le

Externí odkaz: http://arxiv.org/abs/2305.11522

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Akademický článek

Probabilistic Dual-Space Fusion for Real-Time Human-Robot Interaction

Autor: Yihui Li, Jiajun Wu, Xiaohan Chen, Yisheng Guan

Publikováno v: Biomimetics, Vol 8, Iss 6, p 497 (2023)

For robots in human environments, learning complex and demanding interaction skills from humans and responding quickly to human motions are highly desirable. A common challenge for interaction tasks is that the robot has to satisfy both the task spac

Externí odkaz: https://doaj.org/article/01aa26061d4e48a792d9d5a89c4019c6

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Conference

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A Physical-Cyber Dual Space Fusion Learning Assistant Method Based on Mixed Reality Implementation

Autor: Dongbo Zhou, Ziqi Xiao, Wenqian He, Yue Tu

Publikováno v: 2021 IEEE International Conference on Educational Technology (ICET).

The learning assistant method of the Physical-Cyber dual space is an effective method to improve learning interaction and learning effect. In this paper, we proposed a learning assistant method based on mixed reality technology and the fusion of phys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::efc834910a9527d418168beccf0f9264
https://doi.org/10.1109/icet52293.2021.9563174

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