Zobrazeno 1 - 10
of 512
pro vyhledávání: '"ZHANG Maojun"'
Autor:
WANG Yuanyuan, LI Ying, YANG Jie, ZHANG Yanchun, ZHANG Shuang, ZHANG He, WANG Miao, MA Hongmei, ZHANG Maojun
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 34, Iss 2, Pp 297-301 (2022)
ObjectiveTo understand the contamination status and antibiotics resistance of Arcobacter isolated from commercial fresh whole chicken in Shunyi District.MethodsSixty fresh whole chicken from retail markets and supermarkets in Shunyi District were ran
Externí odkaz:
https://doaj.org/article/002b539d143043409ff71646552d5e23
We propose a new method named LoD-Loc for visual localization in the air. Unlike existing localization algorithms, LoD-Loc does not rely on complex 3D representations and can estimate the pose of an Unmanned Aerial Vehicle (UAV) using a Level-of-Deta
Externí odkaz:
http://arxiv.org/abs/2410.12269
In this paper, we present a novel approach for multiview point cloud registration. Different from previous researches that typically employ a global scheme for multiview registration, we propose to adopt an incremental pipeline to progressively align
Externí odkaz:
http://arxiv.org/abs/2407.05021
Acquiring and utilizing accurate channel state information (CSI) can significantly improve transmission performance, thereby holding a crucial role in realizing the potential advantages of massive multiple-input multiple-output (MIMO) technology. Cur
Externí odkaz:
http://arxiv.org/abs/2403.13615
Autor:
Zhang, Maojun, Zhu, Guangxu, Jin, Richeng, Chen, Xiaoming, Shi, Qingjiang, Zhong, Caijun, Huang, Kaibin
Semantic communication (SemCom) is emerging as a key technology for future sixth-generation (6G) systems. Unlike traditional bit-level communication (BitCom), SemCom directly optimizes performance at the semantic level, leading to superior communicat
Externí odkaz:
http://arxiv.org/abs/2403.11693
Publikováno v:
3DV 2024
Despite significant progress in global localization of Unmanned Aerial Vehicles (UAVs) in GPS-denied environments, existing methods remain constrained by the availability of datasets. Current datasets often focus on small-scale scenes and lack viewpo
Externí odkaz:
http://arxiv.org/abs/2401.05971
Publikováno v:
IEEE Access, 2019. 7: p. 114374-114384
Inspired by Naor et al.'s visual secret sharing (VSS) scheme, a novel n out of n quantum visual secret sharing (QVSS) scheme is proposed, which consists of two phases: sharing process and recovering process. In the first process, the color informatio
Externí odkaz:
http://arxiv.org/abs/2309.13659
Publikováno v:
IEEE Access, 2019. 7: p. 36854-36865
In order to solve the problem of non-ideal training sets (i.e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on unitary weights is proposed, where the singular val
Externí odkaz:
http://arxiv.org/abs/2309.14366
Autor:
Zhang, Maojun, Li, Yang, Liu, Dongzhu, Jin, Richeng, Zhu, Guangxu, Zhong, Caijun, Quek, Tony Q. S.
Federated edge learning (FEEL) is a popular distributed learning framework for privacy-preserving at the edge, in which densely distributed edge devices periodically exchange model-updates with the server to complete the global model training. Due to
Externí odkaz:
http://arxiv.org/abs/2305.03969
Autor:
Yan, Shen, Liu, Yu, Wang, Long, Shen, Zehong, Peng, Zhen, Liu, Haomin, Zhang, Maojun, Zhang, Guofeng, Zhou, Xiaowei
Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging problem due to huge appearance disparity between query and reference images
Externí odkaz:
http://arxiv.org/abs/2304.07691