Zobrazeno 1 - 10
of 551
pro vyhledávání: '"ZHANG Maojun"'
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
Despite the significant progress in 6-DoF visual localization, researchers are mostly driven by ground-level benchmarks. Compared with aerial oblique photography, ground-level map collection lacks scalability and complete coverage. In this work, we p
Externí odkaz:
http://arxiv.org/abs/2302.06287