Zobrazeno 1 - 10
of 5 326
pro vyhledávání: '"Chen,Siyu"'
Autor:
Yan, Ziyang, Li, Lei, Shao, Yihua, Chen, Siyu, Wu, Zongkai, Hwang, Jenq-Neng, Zhao, Hao, Remondino, Fabio
The creation of 3D scenes has traditionally been both labor-intensive and costly, requiring designers to meticulously configure 3D assets and environments. Recent advancements in generative AI, including text-to-3D and image-to-3D methods, have drama
Externí odkaz:
http://arxiv.org/abs/2412.01583
Autor:
Benítez, Pol, Chen, Siyu, Jiang, Ruoshi, López, Cibrán, Tamarit, Josep-Lluís, Íñiguez-González, Jorge, Saucedo, Edgardo, Monserrat, Bartomeu, Cazorla, Claudio
Silver chalcohalide antiperovskites (CAP), Ag$_{3}$XY (X = S, Se; Y = Br, I), are a family of highly anharmonic inorganic compounds with great potential for energy applications. However, a substantial and unresolved discrepancy exists between the opt
Externí odkaz:
http://arxiv.org/abs/2411.16279
Recent advancements in Large Language Models (LLMs) have opened new avenues for accelerating drug discovery processes. Despite their potential, several critical challenges remain unsolved, particularly in translating theoretical ideas into practical
Externí odkaz:
http://arxiv.org/abs/2411.15692
Axion-photon oscillation effect provides a possible explanation for the presence of very-high-energy (VHE) $\gamma$-ray signals from distant sources. In this work, we propose a model-dependent method to select possible sources that may give sufficien
Externí odkaz:
http://arxiv.org/abs/2411.08577
Depth estimation is a crucial technology in robotics. Recently, self-supervised depth estimation methods have demonstrated great potential as they can efficiently leverage large amounts of unlabelled real-world data. However, most existing methods ar
Externí odkaz:
http://arxiv.org/abs/2411.04826
Autor:
Shao, Yihua, Liang, Siyu, Ling, Zijian, Yan, Minxi, Liu, Haiyang, Chen, Siyu, Yan, Ziyang, Zhang, Chenyu, Qin, Haotong, Magno, Michele, Yang, Yang, Lei, Zhen, Wang, Yan, Guo, Jingcai, Shao, Ling, Tang, Hao
Large language models (LLMs) show impressive performance in solving complex language tasks. However, its large number of parameters present significant challenges for the deployment and application of the model on edge devices. Compressing large lang
Externí odkaz:
http://arxiv.org/abs/2411.00850
We report a first principles computational analysis of two phonon-mediated superconductors, In$_{5}$Bi$_{3}$ and In$_{5}$Sb$_{3}$. We show that spin-orbit coupling leads to splitting of electron bands around the Fermi energy, resulting in a suppressi
Externí odkaz:
http://arxiv.org/abs/2410.20368
Autor:
Chen, Yongming, Chen, Miner, Zhu, Ye, Pei, Juan, Chen, Siyu, Zhou, Yu, Wang, Yi, Zhou, Yifan, Li, Hao, Zhang, Songan
Court efficiency is vital for social stability. However, in most countries around the world, the grassroots courts face case backlogs, with decisions relying heavily on judicial personnel's cognitive labor, lacking intelligent tools to improve effici
Externí odkaz:
http://arxiv.org/abs/2410.04949
Fr\'echet regression is becoming a mainstay in modern data analysis for analyzing non-traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuo
Externí odkaz:
http://arxiv.org/abs/2410.01783
RGB-D has gradually become a crucial data source for understanding complex scenes in assisted driving. However, existing studies have paid insufficient attention to the intrinsic spatial properties of depth maps. This oversight significantly impacts
Externí odkaz:
http://arxiv.org/abs/2409.07995