Zobrazeno 1 - 10
of 2 963
pro vyhledávání: '"An, Qinwei"'
Digital Image Correlation (DIC) is a key technique in experimental mechanics for full-field deformation measurement, traditionally relying on subset matching to determine displacement fields. However, selecting optimal parameters like shape functions
Externí odkaz:
http://arxiv.org/abs/2409.00956
Publikováno v:
ECAI 2023. IOS Press, 2023: 1617-1624
In a multi-agent system, agents share their local observations to gain global situational awareness for decision making and collaboration using a message passing system. When to send a message, how to encode a message, and how to leverage the receive
Externí odkaz:
http://arxiv.org/abs/2406.19477
Autor:
Chen, Jiaben, Yan, Xin, Chen, Yihang, Cen, Siyuan, Ma, Qinwei, Zhen, Haoyu, Qian, Kaizhi, Lu, Lie, Gan, Chuang
In this work, we introduce a challenging task for simultaneously generating 3D holistic body motions and singing vocals directly from textual lyrics inputs, advancing beyond existing works that typically address these two modalities in isolation. To
Externí odkaz:
http://arxiv.org/abs/2405.20336
Scaling law that rewards large datasets, complex models and enhanced data granularity has been observed in various fields of deep learning. Yet, studies on time series forecasting have cast doubt on scaling behaviors of deep learning methods for time
Externí odkaz:
http://arxiv.org/abs/2405.15124
Recently,3DGaussianSplattinghasshowngreatpotentialin visual Simultaneous Localization And Mapping (SLAM). Existing methods have achieved encouraging results on RGB-D SLAM, but studies of the monocular case are still scarce. Moreover, they also fail t
Externí odkaz:
http://arxiv.org/abs/2405.13748
Businesses and software platforms are increasingly turning to Large Language Models (LLMs) such as GPT-3.5, GPT-4, GLM-3, and LLaMa-2 for chat assistance with file access or as reasoning agents for customer service. However, current LLM-based custome
Externí odkaz:
http://arxiv.org/abs/2404.01343
Neural radiance fields are capable of reconstructing high-quality drivable human avatars but are expensive to train and render and not suitable for multi-human scenes with complex shadows. To reduce consumption, we propose Animatable 3D Gaussian, whi
Externí odkaz:
http://arxiv.org/abs/2311.16482
Autor:
Han, Xinchi, Jiang, Weihao, Cao, Peirui, Yang, Qinwei, Liu, Yunzhuo, Qi, Shuyao, Lin, Shengkai, Zhao, Shizhen
Distributed machine learning (DML) technology makes it possible to train large neural networks in a reasonable amount of time. Meanwhile, as the computing power grows much faster than network capacity, network communication has gradually become the b
Externí odkaz:
http://arxiv.org/abs/2308.05692
In recent experimental and theoretical studies of graphene, disorder scattering processes have been suggested to play an important role in its electronic and transport properties. In the preceding paper, it has been shown that the nonperturbative mom
Externí odkaz:
http://arxiv.org/abs/2308.02779
Autor:
Fu, Bo, Chen, Yanru, Chen, Weiwei, Zhu, Wei, Cui, Ping, Li, Qunxiang, Zhang, Zhenyu, Shi, Qinwei
Despite extensive existing studies, a complete understanding of the role of disorder in affecting the physical properties of two-dimensional Dirac fermionic systems remains a standing challenge, largely due to obstacles encountered in treating multip
Externí odkaz:
http://arxiv.org/abs/2308.01680