Zobrazeno 1 - 10
of 220
pro vyhledávání: '"LI Zhuoyuan"'
Publikováno v:
Hangkong gongcheng jinzhan, Vol 14, Iss 6, Pp 99-108 (2023)
The inverted V-tail is equipped in a twin-boom UAV,whose intersection angle can influence the aerodynamic characteristics and static stability. A twin-boom UAV with inverted V-tail is proposed,and compared with the U-tail configuration by numerical m
Externí odkaz:
https://doaj.org/article/d5593a7df521403da9fc431f74a8a649
Publikováno v:
Xiehe Yixue Zazhi, Vol 14, Iss 6, Pp 1162-1169 (2023)
Single-modal medical images contain limited disease-specific information. To analyze and diagnose patients, clinicians often need to integrate multiple modal images. However, due to limited medical resources and treatment time, it may be difficult to
Externí odkaz:
https://doaj.org/article/b7e436fdfc824076b02b0662a4b37f1f
Efficient and accurate prediction of material properties is critical for advancing materials design and applications. The rapid-evolution of large language models (LLMs) presents a new opportunity for material property predictions, complementing expe
Externí odkaz:
http://arxiv.org/abs/2411.12280
Autor:
Ding, Yiwen, Xi, Zhiheng, He, Wei, Li, Zhuoyuan, Zhai, Yitao, Shi, Xiaowei, Cai, Xunliang, Gui, Tao, Zhang, Qi, Huang, Xuanjing
Self-improvement methods enable large language models (LLMs) to generate solutions themselves and iteratively train on filtered, high-quality rationales. This process proves effective and reduces the reliance on human supervision in LLMs' reasoning,
Externí odkaz:
http://arxiv.org/abs/2411.00750
Autor:
Li, Zhuoyuan, Liao, Junqi, Tang, Chuanbo, Zhang, Haotian, Li, Yuqi, Bian, Yifan, Sheng, Xihua, Feng, Xinmin, Li, Yao, Gao, Changsheng, Li, Li, Liu, Dong, Wu, Feng
Image/video coding has been a remarkable research area for both academia and industry for many years. Testing datasets, especially high-quality image/video datasets are desirable for the justified evaluation of coding-related research, practical appl
Externí odkaz:
http://arxiv.org/abs/2409.08481
Data assimilation has become a crucial technique aiming to combine physical models with observational data to estimate state variables. Traditional assimilation algorithms often face challenges of high nonlinearity brought by both the physical and ob
Externí odkaz:
http://arxiv.org/abs/2407.21314
Inter prediction is a key technology to reduce the temporal redundancy in video coding. In natural videos, there are usually multiple moving objects with variable velocity, resulting in complex motion fields that are difficult to represent compactly.
Externí odkaz:
http://arxiv.org/abs/2407.11541
In-loop filtering (ILF) is a key technology for removing the artifacts in image/video coding standards. Recently, neural network-based in-loop filtering methods achieve remarkable coding gains beyond the capability of advanced video coding standards,
Externí odkaz:
http://arxiv.org/abs/2407.10926
To meet the real-time analysis requirements of video streaming applications, we propose an inter-relation-aware video complexity analyzer (IVCA) as an extension to VCA. The IVCA addresses the limitation of VCA by considering inter-frame relations, na
Externí odkaz:
http://arxiv.org/abs/2407.00280
Autor:
Li, Zhuoyuan, Ai, Yubo, Lu, Jiahao, Wang, ChuXin, Deng, Jiacheng, Chang, Hanzhi, Liang, Yanzhe, Yang, Wenfei, Zhang, Shifeng, Zhang, Tianzhu
Transformers have demonstrated impressive results for 3D point cloud semantic segmentation. However, the quadratic complexity of transformer makes computation cost high, limiting the number of points that can be processed simultaneously and impeding
Externí odkaz:
http://arxiv.org/abs/2406.17442