Zobrazeno 1 - 10
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pro vyhledávání: '"Chen Liwei"'
Autor:
Sun, Zhicheng, Yang, Zhenhao, Jin, Yang, Chi, Haozhe, Xu, Kun, Chen, Liwei, Jiang, Hao, Song, Yang, Gai, Kun, Mu, Yadong
Customizing diffusion models to generate identity-preserving images from user-provided reference images is an intriguing new problem. The prevalent approaches typically require training on extensive domain-specific images to achieve identity preserva
Externí odkaz:
http://arxiv.org/abs/2405.14677
Autor:
Huang, Quzhe, An, Zhenwei, Zhuang, Nan, Tao, Mingxu, Zhang, Chen, Jin, Yang, Xu, Kun, Chen, Liwei, Huang, Songfang, Feng, Yansong
In this paper, we introduce a novel dynamic expert selection framework for Mixture of Experts (MoE) models, aiming to enhance computational efficiency and model performance by adjusting the number of activated experts based on input difficulty. Unlik
Externí odkaz:
http://arxiv.org/abs/2403.07652
The advancement of Multimodal Large Language Models (MLLMs) has greatly accelerated the development of applications in understanding integrated texts and images. Recent works leverage image-caption datasets to train MLLMs, achieving state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2402.17304
Autor:
Jin, Yang, Sun, Zhicheng, Xu, Kun, Chen, Liwei, Jiang, Hao, Huang, Quzhe, Song, Chengru, Liu, Yuliang, Zhang, Di, Song, Yang, Gai, Kun, Mu, Yadong
In light of recent advances in multimodal Large Language Models (LLMs), there is increasing attention to scaling them from image-text data to more informative real-world videos. Compared to static images, video poses unique challenges for effective l
Externí odkaz:
http://arxiv.org/abs/2402.03161
While large language models exhibit remarkable performance in the Question Answering task, they are susceptible to hallucinations. Challenges arise when these models grapple with understanding multi-hop relations in complex questions or lack the nece
Externí odkaz:
http://arxiv.org/abs/2311.07491
Autor:
Chen, Liwei, Yuan, Yuan
The Hardy spaces are defined on the quotient domain of a bounded complete Reinhardt domain by a finite subgroup of $U(n)$. The Szeg\H{o} projection on the quotient domain can be studied by lifting to the covering space. This setting builds on the sol
Externí odkaz:
http://arxiv.org/abs/2310.12151
Autor:
Chen, Liwei, Yuan, Yuan
The disc property is formulated for domains in $\mathbb{C}^n$. Holomorphic Lipschitz functions enjoy a gain in the order of Lipschitz regularity along the complex tangential direction on domains with disc property. Disc property is studied on various
Externí odkaz:
http://arxiv.org/abs/2310.11623
Autor:
Jin, Yang, Xu, Kun, Chen, Liwei, Liao, Chao, Tan, Jianchao, Huang, Quzhe, Chen, Bin, Lei, Chenyi, Liu, An, Song, Chengru, Lei, Xiaoqiang, Zhang, Di, Ou, Wenwu, Gai, Kun, Mu, Yadong
Recently, the remarkable advance of the Large Language Model (LLM) has inspired researchers to transfer its extraordinary reasoning capability to both vision and language data. However, the prevailing approaches primarily regard the visual input as a
Externí odkaz:
http://arxiv.org/abs/2309.04669
In-situ monitoring system can be used to monitor the quality of additive manufacturing (AM) processes. In the case of digital image correlation (DIC) based in-situ monitoring systems, high-speed cameras were used to capture images of high resolutions
Externí odkaz:
http://arxiv.org/abs/2301.00554
Autor:
Lira-Cantu, Monica monica.lira@icn2.cat
Publikováno v:
APL Energy. Jun2023, Vol. 1 Issue 1, p1-2. 2p.