Zobrazeno 1 - 10
of 674
pro vyhledávání: '"Xu, Jiamin"'
We propose a novel point-based representation, Gaussian surfels, to combine the advantages of the flexible optimization procedure in 3D Gaussian points and the surface alignment property of surfels. This is achieved by directly setting the z-scale of
Externí odkaz:
http://arxiv.org/abs/2404.17774
Synthetic aperture radar (SAR) is prevalent in the remote sensing field but is difficult to interpret in human visual perception. Recently, SAR-to-optical (S2O) image conversion methods have provided a prospective solution for interpretation. However
Externí odkaz:
http://arxiv.org/abs/2305.13839
Autor:
Xu, Jiamin1 (AUTHOR) jxu028@fiu.edu
Publikováno v:
Early Childhood Education Journal. Oct2024, Vol. 52 Issue 7, p1693-1705. 13p.
Autor:
Xu, Jiamin1 (AUTHOR), Yin, Tongle1 (AUTHOR), Pan, Mengshan1 (AUTHOR), Qin, Li1,2 (AUTHOR), Zhang, Lu1,2 (AUTHOR), Wang, Xiaoyan1 (AUTHOR), Zheng, Weijun1 (AUTHOR), Liu, Cuiqing1,2 (AUTHOR), Chen, Rucheng1,2 (AUTHOR) cruc1987@zcmu.edu.cn
Publikováno v:
Lipids in Health & Disease. 9/27/2024, Vol. 23 Issue 1, p1-11. 11p.
Autor:
Xu, Jiamin1 (AUTHOR), Zhao, Jiling2 (AUTHOR), Chen, Haiting3 (AUTHOR), Tan, Xi4 (AUTHOR), Zhang, Wenfeng1 (AUTHOR), Xia, Zhongnan2 (AUTHOR), Yao, Dejiang5 (AUTHOR), Lei, Yuhua2 (AUTHOR) lyh-xnk@outlook.com, Xu, Biao1 (AUTHOR) Xubiao-nju@outlook.com, Wei, Zhonghai1 (AUTHOR) weizhonghai@njglyy.com, Hu, Jiaxin2,6 (AUTHOR) hjxlmy@outlook.com
Publikováno v:
Stem Cell Research & Therapy. 8/4/2024, Vol. 15 Issue 1, p1-15. 15p.
We propose a novel method to reconstruct the 3D shapes of transparent objects using hand-held captured images under natural light conditions. It combines the advantage of explicit mesh and multi-layer perceptron (MLP) network, a hybrid representation
Externí odkaz:
http://arxiv.org/abs/2203.12613
Publikováno v:
In Neurocomputing 1 October 2024 600
Autor:
Xu, Jiamin, Han, Jiaqi, Jin, Siyao, Yu, Boran, Li, Xiaona, Ma, Xiangyu, Sun, Liang, Li, Changkun, Zhao, Libo, Ni, Xin
Publikováno v:
In Biomedicine & Pharmacotherapy August 2024 177
Publikováno v:
In Advanced Engineering Informatics August 2024 61
Autor:
Chen, Zhiwen, Xu, Jiamin, Alippi, Cesare, Ding, Steven X., Shardt, Yuri, Peng, Tao, Yang, Chunhua
Graph neural network (GNN)-based fault diagnosis (FD) has received increasing attention in recent years, due to the fact that data coming from several application domains can be advantageously represented as graphs. Indeed, this particular representa
Externí odkaz:
http://arxiv.org/abs/2111.08185