Zobrazeno 1 - 10
of 408
pro vyhledávání: '"She, Rui"'
Place recognition plays a crucial role in the fields of robotics and computer vision, finding applications in areas such as autonomous driving, mapping, and localization. Place recognition identifies a place using query sensor data and a known databa
Externí odkaz:
http://arxiv.org/abs/2410.04939
Personalized subgraph Federated Learning (FL) is a task that customizes Graph Neural Networks (GNNs) to individual client needs, accommodating diverse data distributions. However, applying hypernetworks in FL, while aiming to facilitate model persona
Externí odkaz:
http://arxiv.org/abs/2405.16056
Autor:
She, Rui, Kang, Qiyu, Wang, Sijie, Tay, Wee Peng, Zhao, Kai, Song, Yang, Geng, Tianyu, Xu, Yi, Navarro, Diego Navarro, Hartmannsgruber, Andreas
Point cloud registration is a fundamental technique in 3-D computer vision with applications in graphics, autonomous driving, and robotics. However, registration tasks under challenging conditions, under which noise or perturbations are prevalent, ca
Externí odkaz:
http://arxiv.org/abs/2404.14034
Autor:
Yu, Yanqiu, She, Rui, Luo, Sitong, Xin, Meiqi, Li, Lijuan, Wang, Suhua, Ma, Le, Tao, Fangbiao, Zhang, Jianxin, Zhao, Junfeng, Li, Liping, Hu, Dongsheng, Zhang, Guohua, Gu, Jing, Lin, Danhua, Wang, Hongmei, Cai, Yong, Wang, Zhaofen, You, Hua, Hu, Guoqing, Lau, Joseph Tak-Fai
Publikováno v:
JMIR Mental Health, Vol 8, Iss 2, p e22705 (2021)
BackgroundThe COVID-19 epidemic may elevate mental distress and depressive symptoms in various populations in China. ObjectiveThis study investigates the levels of depression and mental distress due to COVID-19, and the associations between cognitiv
Externí odkaz:
https://doaj.org/article/93f0e1f099a140d98263111bd0dcdfe1
Autor:
Kang, Qiyu, Zhao, Kai, Song, Yang, Xie, Yihang, Zhao, Yanan, Wang, Sijie, She, Rui, Tay, Wee Peng
In this work, we rigorously investigate the robustness of graph neural fractional-order differential equation (FDE) models. This framework extends beyond traditional graph neural (integer-order) ordinary differential equation (ODE) models by implemen
Externí odkaz:
http://arxiv.org/abs/2401.04331
Autor:
She, Rui, Wang, Sijie, Kang, Qiyu, Zhao, Kai, Song, Yang, Tay, Wee Peng, Geng, Tianyu, Jian, Xingchao
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, 2024
Point cloud registration is a crucial technique in 3D computer vision with a wide range of applications. However, this task can be challenging, particularly in large fields of view with dynamic objects, environmental noise, or other perturbations. To
Externí odkaz:
http://arxiv.org/abs/2401.03167
The utilization of multi-modal sensor data in visual place recognition (VPR) has demonstrated enhanced performance compared to single-modal counterparts. Nonetheless, integrating additional sensors comes with elevated costs and may not be feasible fo
Externí odkaz:
http://arxiv.org/abs/2312.10616
Channel capacity estimation plays a crucial role in beyond 5G intelligent communications. Despite its significance, this task is challenging for a majority of channels, especially for the complex channels not modeled as the well-known typical ones. R
Externí odkaz:
http://arxiv.org/abs/2312.01546
Autor:
She, Rui, Kang, Qiyu, Wang, Sijie, Tay, Wee Peng, Guan, Yong Liang, Navarro, Diego Navarro, Hartmannsgruber, Andreas
Matching landmark patches from a real-time image captured by an on-vehicle camera with landmark patches in an image database plays an important role in various computer perception tasks for autonomous driving. Current methods focus on local matching
Externí odkaz:
http://arxiv.org/abs/2311.04617
For autonomous vehicles (AVs), visual perception techniques based on sensors like cameras play crucial roles in information acquisition and processing. In various computer perception tasks for AVs, it may be helpful to match landmark patches taken by
Externí odkaz:
http://arxiv.org/abs/2311.03904