Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Zhao, Mingyang"'
Autor:
Xie, Shenghao, Zu, Wenqiang, Zhao, Mingyang, Su, Duo, Liu, Shilong, Shi, Ruohua, Li, Guoqi, Zhang, Shanghang, Ma, Lei
Autoregression in large language models (LLMs) has shown impressive scalability by unifying all language tasks into the next token prediction paradigm. Recently, there is a growing interest in extending this success to vision foundation models. In th
Externí odkaz:
http://arxiv.org/abs/2410.22217
We present a robust refinement method for estimating oriented normals from unstructured point clouds. In contrast to previous approaches that either suffer from high computational complexity or fail to achieve desirable accuracy, our novel framework
Externí odkaz:
http://arxiv.org/abs/2409.01100
Autor:
Geng, Yimeng, Meng, Gaofeng, Chen, Mingcong, Cao, Guanglin, Zhao, Mingyang, Zhao, Jianbo, Liu, Hongbin
Accurate identification of arteries and veins in ultrasound images is crucial for vascular examinations and interventions in robotics-assisted surgeries. However, current methods for ultrasound vessel segmentation face challenges in distinguishing be
Externí odkaz:
http://arxiv.org/abs/2407.21394
This paper presents a novel non-rigid point set registration method that is inspired by unsupervised clustering analysis. Unlike previous approaches that treat the source and target point sets as separate entities, we develop a holistic framework whe
Externí odkaz:
http://arxiv.org/abs/2406.18817
Point cloud normal estimation is a fundamental task in 3D geometry processing. While recent learning-based methods achieve notable advancements in normal prediction, they often overlook the critical aspect of equivariance. This results in inefficient
Externí odkaz:
http://arxiv.org/abs/2406.00347
Autor:
Wu, Yingrui, Zhao, Mingyang, Li, Keqiang, Quan, Weize, Yu, Tianqi, Yang, Jianfeng, Jia, Xiaohong, Yan, Dong-Ming
This work presents an accurate and robust method for estimating normals from point clouds. In contrast to predecessor approaches that minimize the deviations between the annotated and the predicted normals directly, leading to direction inconsistency
Externí odkaz:
http://arxiv.org/abs/2312.09154
Publikováno v:
发电技术, Vol 45, Iss 5, Pp 856-867 (2024)
ObjectivesThe operating state under the condition of high-pressure turbine damage will have a certain impact on the performance and vibration of the gas turbine. At present, the means to accurately assess whether the whole machine can continue to be
Externí odkaz:
https://doaj.org/article/274544844c5f4d958dee1652a962b6ed
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 7, Pp 225-233 (2024)
Metal phosphide， as an emerging material for supercapacitors， has attracted more and more attention. In this paper， nickel-cobalt sulfide was obtained by hydrothermal method with carbon cloth （CC） as the substrate and nickel chloride and co
Externí odkaz:
https://doaj.org/article/0729807852694b35a99559bee34c6ab6
Autor:
Xia, Shiyi, Zhao, Mingyang, Ma, Qian, Zhang, Xunnan, Yang, Ling, Pi, Yazhi, Chung, Hyunchul, Reniers, Ad, Koonen, A. M. J., Cao, Zizheng
Beamforming makes possible a focused communication method. It is extensively employed in many disciplines involving electromagnetic waves, including arrayed ultrasonic, optical, and high-speed wireless communication. Conventional beam steering often
Externí odkaz:
http://arxiv.org/abs/2210.16197
Autor:
Li, Keqiang, Zhao, Mingyang, Wu, Huaiyu, Yan, Dong-Ming, Shen, Zhen, Wang, Fei-Yue, Xiong, Gang
We propose a precise and efficient normal estimation method that can deal with noise and nonuniform density for unstructured 3D point clouds. Unlike existing approaches that directly take patches and ignore the local neighborhood relationships, which
Externí odkaz:
http://arxiv.org/abs/2207.11484