Zobrazeno 1 - 10
of 3 880
pro vyhledávání: '"Guo, Shuai"'
Autor:
Guo, Shuai, Zhong, Houqiang, Wang, Qiuwen, Chen, Ziyu, Gao, Yijie, Yuan, Jiajing, Zhang, Chenyu, Xie, Rong, Song, Li
Recently, NVS in human-object interaction scenes has received increasing attention. Existing human-object interaction datasets mainly consist of static data with limited views, offering only RGB images or videos, mostly containing interactions betwee
Externí odkaz:
http://arxiv.org/abs/2409.12980
The Quick-view (QV) technique serves as a primary method for detecting defects within sewerage systems. However, the effectiveness of QV is impeded by the limited visual range of its hardware, resulting in suboptimal image quality for distant portion
Externí odkaz:
http://arxiv.org/abs/2407.19271
Autor:
Guo, Shuai-Shuai
The tidal interactions of planets affect the stellar evolutionary status and the constraint of their physical parameters by gyrochronology. In this work, we incorporate the tidal interaction and magnetic braking of the stellar wind into MESA and calc
Externí odkaz:
http://arxiv.org/abs/2404.13548
Generative Flow Networks (GFlowNets or GFNs) are probabilistic models predicated on Markov flows, and they employ specific amortization algorithms to learn stochastic policies that generate compositional substances including biomolecules, chemical ma
Externí odkaz:
http://arxiv.org/abs/2404.05576
Novel-view synthesis with sparse input views is important for real-world applications like AR/VR and autonomous driving. Recent methods have integrated depth information into NeRFs for sparse input synthesis, leveraging depth prior for geometric and
Externí odkaz:
http://arxiv.org/abs/2403.02063
Autor:
Jiang, Xiaoheng, Yan, Feng, Lu, Yang, Wang, Ke, Guo, Shuai, Zhang, Tianzhu, Pang, Yanwei, Niu, Jianwei, Xu, Mingliang
Surface defect inspection plays an important role in the process of industrial manufacture and production. Though Convolutional Neural Network (CNN) based defect inspection methods have made huge leaps, they still confront a lot of challenges such as
Externí odkaz:
http://arxiv.org/abs/2402.02797
Electroencephalogram (EEG) is a non-invasive technique to record bioelectrical signals. Integrating supervised deep learning techniques with EEG signals has recently facilitated automatic analysis across diverse EEG-based tasks. However, the label is
Externí odkaz:
http://arxiv.org/abs/2401.05446
Let $G$ be a reductive group acting on an affine scheme $V$. We study the set of principal $G$-bundles on a smooth projective curve $\mathcal C$ such that the associated $V$-bundle admits a section sending the generic point of $\mathcal C$ into the G
Externí odkaz:
http://arxiv.org/abs/2312.11197
The theory of Mixed-Spin-P (MSP) fields was introduced by Chang-Li-Li-Liu for the quintic threefold, aiming at studying its higher-genus Gromov-Witten invariants. Chang-Guo-Li has successfully applied it to prove conjectures on the higher-genus Gromo
Externí odkaz:
http://arxiv.org/abs/2312.11174
The asymptotic behavior of the Jaccard index in $G(n,p)$, the classical Erd\"{o}s-R\'{e}nyi random graphs model, is studied in this paper, as $n$ goes to infinity. We first derive the asymptotic distribution of the Jaccard index of any pair of distin
Externí odkaz:
http://arxiv.org/abs/2311.09804