Zobrazeno 1 - 10
of 400
pro vyhledávání: '"ZHANG, GUOXIANG"'
Autor:
Bai, Chen, Shao, Zeman, Zhang, Guoxiang, Liang, Di, Yang, Jie, Zhang, Zhuorui, Guo, Yujian, Zhong, Chengzhang, Qiu, Yiqiao, Wang, Zhendong, Guan, Yichen, Zheng, Xiaoyin, Wang, Tao, Lu, Cheng
Realistic video simulation has shown significant potential across diverse applications, from virtual reality to film production. This is particularly true for scenarios where capturing videos in real-world settings is either impractical or expensive.
Externí odkaz:
http://arxiv.org/abs/2401.17509
Autor:
Cheng, Bo, Ma, Jie, Zhang, Guoxiang, He, Libo, Wang, Siyao, Song, Shiping, Cheng, Wenxi, Li, Peipei, Liu, Xiaowei
Publikováno v:
In Fuel 15 January 2025 380
Autor:
Qian, Wanyue, Wang, Yunzhe, Liu, Liang, Yang, Yihan, Zhang, Guoxiang, Huang, Shuquan, Yi, Jianjian
Publikováno v:
In International Journal of Hydrogen Energy 4 November 2024 89:656-663
Autor:
Yi, Jianjian, Zhang, Guoxiang, Cao, Xiangyang, Zhu, Xianglin, Li, Li, Wang, Xuyu, Zhu, Xingwang, Song, Yanhua, Xu, Hui, Wang, Xiaozhi
Publikováno v:
In Journal of Colloid And Interface Science 15 August 2024 668:492-501
Autor:
Zhang, Guoxiang, Chen, YangQuan
Visual simultaneous localization and mapping (vSLAM) and 3D reconstruction methods have gone through impressive progress. These methods are very promising for autonomous vehicle and consumer robot applications because they can map large-scale environ
Externí odkaz:
http://arxiv.org/abs/2104.10826
Autor:
Song, Yanhua, Zhang, Yuanyuan, Wu, Yansong, Zhai, Linzhi, Xia, Yu, Zhang, Guoxiang, Xu, Jian, Fan, Chunsun, Hu, Qingsong, Yi, Jianjian
Publikováno v:
In Journal of Environmental Chemical Engineering April 2024 12(2)
Autor:
Zhang, Guoxiang, Chen, YangQuan
It is not easy when evaluating 3D mapping performance because existing metrics require ground truth data that can only be collected with special instruments. In this paper, we propose a metric, dense map posterior (DMP), for this evaluation. It can w
Externí odkaz:
http://arxiv.org/abs/2101.10402
Autor:
Zhang, Guoxiang, Chen, YangQuan
Random sample consensus (RANSAC) is a robust model-fitting algorithm. It is widely used in many fields including image-stitching and point cloud registration. In RANSAC, data is uniformly sampled for hypothesis generation. However, this uniform sampl
Externí odkaz:
http://arxiv.org/abs/2011.09116
Publikováno v:
In Journal of Visual Communication and Image Representation December 2023 97