Zobrazeno 1 - 10
of 901
pro vyhledávání: '"Li XingYi"'
Publikováno v:
Fenmo yejin jishu, Vol 42, Iss 5, Pp 456-463 (2024)
Fe–2Cu–0.6C powder metallurgy materials with the different density were treated by surface rolling process under the different pressure. The effects of material density and rolling pressure on the densification behavior were investigated. The res
Externí odkaz:
https://doaj.org/article/7e6538cc24ed429f84a419c9dfc35ab3
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 35, Iss 12, Pp 1786-1791 (2023)
ObjectiveTo explore the relationship between macronutrient intake and sleep quality， the current sleep quality of pregnant women from ten cities in China was investigated.MethodsMultistage stratified sampling was used to investigate the nutrient in
Externí odkaz:
https://doaj.org/article/207c32a97f784f68b14ca43fef1e293f
Autor:
Shi Yilin, Dai Hao, Tang Renjie, Chen Zequn, Si Yalan, Ma Hui, Wei Maoliang, Luo Ye, Li Xingyi, Zhao Qing, Ye Yuting, Jian Jialing, Sun Chunlei, Bao Kangjian, Ma Yaoguang, Lin Hongtao, Li Lan
Publikováno v:
Nanophotonics, Vol 13, Iss 8, Pp 1339-1349 (2023)
The ever-growing demand for miniaturized optical systems presents a significant challenge in revolutionizing their core element – the varifocal lens. Recent advancements in ultra-thin, tunable metasurface optics have introduced new approaches to ac
Externí odkaz:
https://doaj.org/article/91fb2936c9b44dd0800e4a233783a1e5
Autor:
Li, Xingyi, Wu, Yizheng, Cen, Jun, Peng, Juewen, Wang, Kewei, Xian, Ke, Wang, Zhe, Cao, Zhiguo, Lin, Guosheng
3D content creation has long been a complex and time-consuming process, often requiring specialized skills and resources. While recent advancements have allowed for text-guided 3D object and scene generation, they still fall short of providing suffic
Externí odkaz:
http://arxiv.org/abs/2408.01678
Autor:
Wu, Yizheng, Pan, Zhiyu, Wang, Kewei, Li, Xingyi, Cui, Jiahao, Xiao, Liwen, Lin, Guosheng, Cao, Zhiguo
Large-scale datasets with point-wise semantic and instance labels are crucial to 3D instance segmentation but also expensive. To leverage unlabeled data, previous semi-supervised 3D instance segmentation approaches have explored self-training framewo
Externí odkaz:
http://arxiv.org/abs/2406.16776
Autor:
Wang, Kewei, Wu, Yizheng, Cen, Jun, Pan, Zhiyu, Li, Xingyi, Wang, Zhe, Cao, Zhiguo, Lin, Guosheng
The perception of motion behavior in a dynamic environment holds significant importance for autonomous driving systems, wherein class-agnostic motion prediction methods directly predict the motion of the entire point cloud. While most existing method
Externí odkaz:
http://arxiv.org/abs/2403.13261
Recent advancements in dynamic neural radiance field methods have yielded remarkable outcomes. However, these approaches rely on the assumption of sharp input images. When faced with motion blur, existing dynamic NeRF methods often struggle to genera
Externí odkaz:
http://arxiv.org/abs/2403.10103
Current 3D stylization methods often assume static scenes, which violates the dynamic nature of our real world. To address this limitation, we present S-DyRF, a reference-based spatio-temporal stylization method for dynamic neural radiance fields. Ho
Externí odkaz:
http://arxiv.org/abs/2403.06205
Autor:
Wang, Kewei, Wu, Yizheng, Pan, Zhiyu, Li, Xingyi, Xian, Ke, Wang, Zhe, Cao, Zhiguo, Lin, Guosheng
Class-agnostic motion prediction methods aim to comprehend motion within open-world scenarios, holding significance for autonomous driving systems. However, training a high-performance model in a fully-supervised manner always requires substantial am
Externí odkaz:
http://arxiv.org/abs/2312.08009
Autor:
Li Xingyi
Publikováno v:
Acta Universitatis Cibiniensis. Series E: Food Technology, Vol 20, Iss 1, Pp 93-104 (2016)
This study aims to design metal food packaging with hazard analysis critical control point (HACCP). First, theory of HACCP was introduced in detail. Taking empty cans provided by Wuxi Huapeng Food Packaging Company as an example, we studied migration
Externí odkaz:
https://doaj.org/article/e802a06274ab4649b3bb5314be0e7c79