Zobrazeno 1 - 10
of 527
pro vyhledávání: '"Xu, Jinjin"'
Autor:
Wang, Fanyi, Liu, Peng, Hu, Haotian, Meng, Dan, Su, Jingwen, Xu, Jinjin, Zhang, Yanhao, Ren, Xiaoming, Zhang, Zhiwang
Research on diffusion model-based video generation has advanced rapidly. However, limitations in object fidelity and generation length hinder its practical applications. Additionally, specific domains like animated wallpapers require seamless looping
Externí odkaz:
http://arxiv.org/abs/2404.09172
Autor:
Xu, Jinjin, Xu, Liwu, Yang, Yuzhe, Li, Xiang, Wang, Fanyi, Xie, Yanchun, Huang, Yi-Jie, Li, Yaqian
Recent advancements in multi-modal large language models (MLLMs) have led to substantial improvements in visual understanding, primarily driven by sophisticated modality alignment strategies. However, predominant approaches prioritize global or regio
Externí odkaz:
http://arxiv.org/abs/2311.05348
The success of pre-training approaches on a variety of downstream tasks has revitalized the field of computer vision. Image aesthetics assessment (IAA) is one of the ideal application scenarios for such methods due to subjective and expensive labelin
Externí odkaz:
http://arxiv.org/abs/2307.15640
Autor:
Guan Guixue, Pu Yifu, Gao Yuan, Liu Xialei, Shi Fan, Sun Qian, Xu Jinjin, Zhang Linna, Zhang Xiaozuo, Feng Wen, Yang Wen
Publikováno v:
Journal of Ovarian Research, Vol 16, Iss 1, Pp 1-9 (2023)
Abstract Clinical prediction models play an important role in the field of medicine. These can help predict the probability of an individual suffering from disease, complications, and treatment outcomes by applying specific methodologies. Polycystic
Externí odkaz:
https://doaj.org/article/7c71cc7aab3b4f57b8a5117903d7b99e
Autor:
Wang, Hongwei1 (AUTHOR), Xu, Jinjin2 (AUTHOR), Zhao, Jiuzhang3 (AUTHOR), Han, Xiaoyan3 (AUTHOR), Pan, Kaiming3 (AUTHOR), Yu, Rena C.4 (AUTHOR), Wu, Zhimin1 (AUTHOR) wuzhimin@dlut.edu.cn
Publikováno v:
Materials (1996-1944). Apr2024, Vol. 17 Issue 8, p1767. 23p.
Publikováno v:
In Case Studies in Thermal Engineering August 2024 60
Data-driven optimization has found many successful applications in the real world and received increased attention in the field of evolutionary optimization. Most existing algorithms assume that the data used for optimization is always available on a
Externí odkaz:
http://arxiv.org/abs/2106.12086
Federated learning is an emerging distributed machine learning framework for privacy preservation. However, models trained in federated learning usually have worse performance than those trained in the standard centralized learning mode, especially w
Externí odkaz:
http://arxiv.org/abs/2106.06843
Publikováno v:
In Engineering Structures 1 March 2024 302
Autor:
Sun, Lijiao, Chen, Xin, Zhu, Sai, Wang, Jianan, Diao, Shaoxi, Liu, Jinyu, Xu, Jinjin, Li, Xiaofeng, Sun, Yingyin, Huang, Cheng, Meng, Xiaoming, Lv, Xiongwen, Li, Jun
Publikováno v:
In Genes & Diseases March 2024 11(2):711-726