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of 21 863
pro vyhledávání: '"Ting YU"'
Autor:
Zhang Q; Department of Gastroenterology, State Key Laboratory of Digestive Health; National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Wu SS; Department of Gastroenterology, State Key Laboratory of Digestive Health; National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Publikováno v:
Liver international : official journal of the International Association for the Study of the Liver [Liver Int] 2024 Nov; Vol. 44 (11), pp. 3102. Date of Electronic Publication: 2024 Aug 16.
Autor:
Hung, Yu-Kai, Huang, Yun-Chien, Su, Ting-Yu, Lin, Yen-Ting, Cheng, Lung-Pan, Wang, Bryan, Sun, Shao-Hua
Audience feedback is crucial for refining video content, yet it typically comes after publication, limiting creators' ability to make timely adjustments. To bridge this gap, we introduce SimTube, a generative AI system designed to simulate audience f
Externí odkaz:
http://arxiv.org/abs/2411.09577
Autor:
Yang, Hao-Tsung, Weng, Ting-Kai, Chang, Ting-Yu, Liu, Kin Sum, Lin, Shan, Gao, Jie, Tsai, Shih-Yu
We explored the Patrol Security Game (PSG), a robotic patrolling problem modeled as an extensive-form Stackelberg game, where the attacker determines the timing, location, and duration of their attack. Our objective is to devise a patrolling schedule
Externí odkaz:
http://arxiv.org/abs/2410.15600
The paper aims to address the lack of photorealistic virtual try-on models for accessories such as jewelry and watches, which are particularly relevant for online retail applications. While existing virtual try-on models focus primarily on clothing i
Externí odkaz:
http://arxiv.org/abs/2409.14553
Autor:
Tsai, Ting Yu, Lin, Li, Hu, Shu, Tsao, Connie W., Li, Xin, Chang, Ming-Ching, Zhu, Hongtu, Wang, Xin
Building on the success of deep learning models in cardiovascular structure segmentation, increasing attention has been focused on improving generalization and robustness, particularly in small, annotated datasets. Despite recent advancements, curren
Externí odkaz:
http://arxiv.org/abs/2409.14305
Akademický článek
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Converting different modalities into generalized text, which then serves as input prompts for large language models (LLMs), is a common approach for aligning multimodal models, particularly when pairwise data is limited. Text-centric alignment method
Externí odkaz:
http://arxiv.org/abs/2408.09798
In this paper, we study user association and wireless bandwidth allocation for a hierarchical federated learning system that consists of mobile users, edge servers, and a cloud server. To minimize the length of a global round in hierarchical federate
Externí odkaz:
http://arxiv.org/abs/2408.09076
Converting different modalities into general text, serving as input prompts for large language models (LLMs), is a common method to align multimodal models when there is limited pairwise data. This text-centric approach leverages the unique propertie
Externí odkaz:
http://arxiv.org/abs/2407.05036
Biomedical image segmentation is critical for accurate identification and analysis of anatomical structures in medical imaging, particularly in cardiac MRI. Manual segmentation is labor-intensive, time-consuming, and prone to errors, highlighting the
Externí odkaz:
http://arxiv.org/abs/2405.17496