Zobrazeno 1 - 10
of 5 526
pro vyhledávání: '"Wang, QianQian"'
Brain networks/graphs derived from resting-state functional MRI (fMRI) help study underlying pathophysiology of neurocognitive disorders by measuring neuronal activities in the brain. Some studies utilize learning-based methods for brain network anal
Externí odkaz:
http://arxiv.org/abs/2411.00888
The star tracker is generally affected by the atmospheric background light and the aerodynamic environment when working in near space, which results in missing stars or false stars. Moreover, high-speed maneuvering may cause star trailing, which redu
Externí odkaz:
http://arxiv.org/abs/2410.23758
Autor:
Kerr, Justin, Kim, Chung Min, Wu, Mingxuan, Yi, Brent, Wang, Qianqian, Goldberg, Ken, Kanazawa, Angjoo
Humans can learn to manipulate new objects by simply watching others; providing robots with the ability to learn from such demonstrations would enable a natural interface specifying new behaviors. This work develops Robot See Robot Do (RSRD), a metho
Externí odkaz:
http://arxiv.org/abs/2409.18121
Monocular dynamic reconstruction is a challenging and long-standing vision problem due to the highly ill-posed nature of the task. Existing approaches are limited in that they either depend on templates, are effective only in quasi-static scenes, or
Externí odkaz:
http://arxiv.org/abs/2407.13764
Autor:
Ma, Yunling, Zhang, Chaojun, Wang, Xiaochuan, Wang, Qianqian, Cao, Liang, Zhang, Limei, Liu, Mingxia
Major depressive disorder (MDD) is a common mental disorder that typically affects a person's mood, cognition, behavior, and physical health. Resting-state functional magnetic resonance imaging (rs-fMRI) data are widely used for computer-aided diagno
Externí odkaz:
http://arxiv.org/abs/2406.00085
Functional magnetic resonance imaging (fMRI) has been increasingly employed to investigate functional brain activity. Many fMRI-related software/toolboxes have been developed, providing specialized algorithms for fMRI analysis. However, existing tool
Externí odkaz:
http://arxiv.org/abs/2405.06178
BACKGROUND: Intelligent identification and precise plucking are the keys to intelligent tea harvesting robots, which are of increasing significance nowadays. Aiming at plucking tender leaves for high-quality green tea producing, in this paper, a tend
Externí odkaz:
http://arxiv.org/abs/2405.05500
Autor:
Ren, Yuxi, Wu, Jie, Lu, Yanzuo, Kuang, Huafeng, Xia, Xin, Wang, Xionghui, Wang, Qianqian, Zhu, Yixing, Xie, Pan, Wang, Shiyin, Xiao, Xuefeng, Wang, Yitong, Zheng, Min, Fu, Lean
Recent advancements in diffusion-based generative image editing have sparked a profound revolution, reshaping the landscape of image outpainting and inpainting tasks. Despite these strides, the field grapples with inherent challenges, including: i) i
Externí odkaz:
http://arxiv.org/abs/2404.04860
Autor:
Xiao, Yuxi, Wang, Qianqian, Zhang, Shangzhan, Xue, Nan, Peng, Sida, Shen, Yujun, Zhou, Xiaowei
Recovering dense and long-range pixel motion in videos is a challenging problem. Part of the difficulty arises from the 3D-to-2D projection process, leading to occlusions and discontinuities in the 2D motion domain. While 2D motion can be intricate,
Externí odkaz:
http://arxiv.org/abs/2404.04319
Multi-view clustering method based on anchor graph has been widely concerned due to its high efficiency and effectiveness. In order to avoid post-processing, most of the existing anchor graph-based methods learn bipartite graphs with connected compon
Externí odkaz:
http://arxiv.org/abs/2402.16544