Zobrazeno 1 - 10
of 11 184
pro vyhledávání: '"An, Siying"'
Autor:
Huang, Wenqi, Spieker, Veronika, Xu, Siying, Cruz, Gastao, Prieto, Claudia, Schnabel, Julia, Hammernik, Kerstin, Kuestner, Thomas, Rueckert, Daniel
Conventional cardiac cine MRI methods rely on retrospective gating, which limits temporal resolution and the ability to capture continuous cardiac dynamics, particularly in patients with arrhythmias and beat-to-beat variations. To address these chall
Externí odkaz:
http://arxiv.org/abs/2412.12742
Large Language Models (LLMs) have been increasingly adopted by professionals for work tasks. However, using LLMs also introduces compliance risks relating to privacy, ethics, and regulations. This study investigated the compliance risks professionals
Externí odkaz:
http://arxiv.org/abs/2411.04576
Autor:
Hu, Siying, Lu, Zhicong
Video-sharing platforms (VSPs) have been increasingly embracing social features such as likes, comments, and Danmaku to boost user engagement. However, viewers may post inappropriate content through video commentary to gain attention or express thems
Externí odkaz:
http://arxiv.org/abs/2411.04529
Facial parts swapping aims to selectively transfer regions of interest from the source image onto the target image while maintaining the rest of the target image unchanged. Most studies on face swapping designed specifically for full-face swapping, a
Externí odkaz:
http://arxiv.org/abs/2410.22771
Publikováno v:
Pattern Recognition, Vol. 156, 2024, Article No. 110758
High-fidelity digital human representations are increasingly in demand in the digital world, particularly for interactive telepresence, AR/VR, 3D graphics, and the rapidly evolving metaverse. Even though they work well in small spaces, conventional m
Externí odkaz:
http://arxiv.org/abs/2410.17741
We address the issue of equitable energy access within an energy community consisting of members with diverse socioeconomic backgrounds, including varying income levels and differing capacities to access distributed energy resources such as solar pow
Externí odkaz:
http://arxiv.org/abs/2410.04300
Autor:
Hu, Siying, Yuan, Xiangzhe, Wang, Jiajun, Wang, Piaohong, Ma, Jian, Wu, Zhiyang, Wan, Qian, Lu, Zhicong
Sports highlights are becoming increasingly popular on video-sharing platforms. Yet, crafting sport highlight videos is challenging, which requires producing engaging narratives from different angles, and conforming to different platform affordances
Externí odkaz:
http://arxiv.org/abs/2409.13443
With the development of generative AI technology, a vast array of AI-generated paintings (AIGP) have gone viral on social media like TikTok. However, some negative news about AIGP has also emerged. For example, in 2022, numerous painters worldwide or
Externí odkaz:
http://arxiv.org/abs/2409.11911
As the demand for computer science (CS) skills grows, mastering foundational concepts is crucial yet challenging for novice learners. To address this challenge, we present KoroT-3E, an AI-based system that creates personalized musical mnemonics to en
Externí odkaz:
http://arxiv.org/abs/2409.10446
In this paper, we study the optimal regularity of the stationary sonic-subsonic solution to the unipolar isothermal hydrodynamic model of semiconductors with sonic boundary. Applying the comparison principle and the energy estimate, we obtain the reg
Externí odkaz:
http://arxiv.org/abs/2409.00990