Zobrazeno 1 - 10
of 1 801
pro vyhledávání: '"WANG Weitao"'
Recent years have witnessed remarkable progress in 3D content generation. However, corresponding evaluation methods struggle to keep pace. Automatic approaches have proven challenging to align with human preferences, and the mixed comparison of text-
Externí odkaz:
http://arxiv.org/abs/2412.06614
Publikováno v:
Dizhi lixue xuebao, Vol 27, Iss 2, Pp 159-177 (2021)
The West Qinling Belt (WQB) situated in the central China continent, is an enormous structure on the crustal scale, which is not controlled only by the Tethyan tectonic domain but is more complex, involving additional tectonic domains. The composite
Externí odkaz:
https://doaj.org/article/2788cd38b5bf4eea93442dfac789554d
We propose a novel seismic wave representation model, namely PRIME-DP (Pre-trained Integrated Model for Earthquake Data Processing), specifically designed for processing seismic waveforms. Most existing models are designed to solve a singular problem
Externí odkaz:
http://arxiv.org/abs/2408.01919
Publikováno v:
SHS Web of Conferences, Vol 180, p 01013 (2023)
Japan was the first country to propose the concept of “Indo-Pacific strategy” and was also a staunch supporter and active promoter of it. The formation of Japan’s Indo-Pacific strategy has gone through four stages of evolution: initial appearan
Externí odkaz:
https://doaj.org/article/c081245a55b04ebf8e7d3a93f705afea
Novel view synthesis from unconstrained in-the-wild images remains a meaningful but challenging task. The photometric variation and transient occluders in those unconstrained images make it difficult to reconstruct the original scene accurately. Prev
Externí odkaz:
http://arxiv.org/abs/2403.15704
In recent years, AI-generated music has made significant progress, with several models performing well in multimodal and complex musical genres and scenes. While objective metrics can be used to evaluate generative music, they often lack interpretabi
Externí odkaz:
http://arxiv.org/abs/2308.13736
Autor:
Liu, Zichang, Desai, Aditya, Liao, Fangshuo, Wang, Weitao, Xie, Victor, Xu, Zhaozhuo, Kyrillidis, Anastasios, Shrivastava, Anshumali
Large language models(LLMs) have sparked a new wave of exciting AI applications. Hosting these models at scale requires significant memory resources. One crucial memory bottleneck for the deployment stems from the context window. It is commonly recog
Externí odkaz:
http://arxiv.org/abs/2305.17118
In this paper, we propose RiemannianFlow, a deep generative model that allows robots to learn complex and stable skills evolving on Riemannian manifolds. Examples of Riemannian data in robotics include stiffness (symmetric and positive definite matri
Externí odkaz:
http://arxiv.org/abs/2210.15244
Autor:
Wang, Kuan, Wang, Yi, Wang, Dan, Du, Yuan-Xiao, Li, Xin-Peng, He, Zhen-Hong, Wang, Huan, Wang, Weitao, Yang, Yang, Liu, Zhao-Tie
Publikováno v:
In Applied Surface Science 30 January 2025 680
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 January 2025 705 Part 2