Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Yan Hongyu"'
Publikováno v:
Redai dili, Vol 43, Iss 12, Pp 2381-2393 (2023)
Leisure plays an important role in people's happiness; therefore, facilitating participation in leisure activities has become one of the pathways to improve urban residents' wellbeing and realize high-quality new urbanization. This study focuses on m
Externí odkaz:
https://doaj.org/article/11ff2606c800438b965e5b24fd009929
Conventional molecular dynamics (MD) simulation approaches, such as ab initio MD and empirical force field MD, face significant trade-offs between physical accuracy and computational efficiency. This work presents a novel Potential-free Data-driven M
Externí odkaz:
http://arxiv.org/abs/2412.04442
Autor:
Hu, Xiangcheng, Wu, Jin, Jia, Mingkai, Yan, Hongyu, Jiang, Yi, Jiang, Binqian, Zhang, Wei, He, Wei, Tan, Ping
Evaluating massive-scale point cloud maps in Simultaneous Localization and Mapping (SLAM) remains challenging, primarily due to the absence of unified, robust and efficient evaluation frameworks. We present MapEval, an open-source framework for compr
Externí odkaz:
http://arxiv.org/abs/2411.17928
Autor:
Yan, Hongyu, Mu, Yadong
Image-guided object assembly represents a burgeoning research topic in computer vision. This paper introduces a novel task: translating multi-view images of a structural 3D model (for example, one constructed with building blocks drawn from a 3D-obje
Externí odkaz:
http://arxiv.org/abs/2404.16423
Autor:
He, Linchao, Yan, Hongyu, Luo, Mengting, Wu, Hongjie, Luo, Kunming, Wang, Wang, Du, Wenchao, Chen, Hu, Yang, Hongyu, Zhang, Yi, Lv, Jiancheng
Diffusion models have recently been recognised as efficient inverse problem solvers due to their ability to produce high-quality reconstruction results without relying on pairwise data training. Existing diffusion-based solvers utilize Gradient Desce
Externí odkaz:
http://arxiv.org/abs/2307.12070
Autor:
Yan, Xuejun, Yan, Hongyu, Wang, Jingjing, Du, Hang, Wu, Zhihong, Xie, Di, Pu, Shiliang, Lu, Li
The rapid development of point cloud learning has driven point cloud completion into a new era. However, the information flows of most existing completion methods are solely feedforward, and high-level information is rarely reused to improve low-leve
Externí odkaz:
http://arxiv.org/abs/2210.03974
Publikováno v:
In Applied Acoustics 15 January 2025 228
Autor:
Li, Yang, Liu, Zhongyuan, Yan, Hongyu, Zhou, Tianle, Zheng, Liming, Wen, Feng, Guo, Guanghui, Zhang, Zhiwen
Publikováno v:
In Phytomedicine January 2025 136
Autor:
Guo, Guangyu, Liu, Zhi, Zeng, Jiamin, Yan, Hongyu, Chen, Gongrui, Han, Peiyun, He, Xinyi, Zhou, Dandan, Weng, Shaoping, He, Jianguo, Wang, Muhua
Publikováno v:
In Virology January 2025 601
Autor:
Zhu, Zhipeng, Cao, Huang, Yan, Hongyu, Liu, Hanzhi, Hong, Zaifa, Sun, Anran, Liu, Tong, Mao, Fengbiao
Publikováno v:
In Computational and Structural Biotechnology Journal December 2024 23:929-941