Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Sun, Jingdong"'
Autor:
He, Jun-Yan, Cheng, Zhi-Qi, Li, Chenyang, Sun, Jingdong, He, Qi, Xiang, Wangmeng, Chen, Hanyuan, Lan, Jin-Peng, Lin, Xianhui, Zhu, Kang, Luo, Bin, Geng, Yifeng, Xie, Xuansong, Hauptmann, Alexander G.
MetaDesigner revolutionizes artistic typography synthesis by leveraging the strengths of Large Language Models (LLMs) to drive a design paradigm centered around user engagement. At the core of this framework lies a multi-agent system comprising the P
Externí odkaz:
http://arxiv.org/abs/2406.19859
Autor:
Cheng, Zebang, Cheng, Zhi-Qi, He, Jun-Yan, Sun, Jingdong, Wang, Kai, Lin, Yuxiang, Lian, Zheng, Peng, Xiaojiang, Hauptmann, Alexander
Accurate emotion perception is crucial for various applications, including human-computer interaction, education, and counseling. However, traditional single-modality approaches often fail to capture the complexity of real-world emotional expressions
Externí odkaz:
http://arxiv.org/abs/2406.11161
Autor:
He, Jun-Yan, Cheng, Zhi-Qi, Li, Chenyang, Sun, Jingdong, Xiang, Wangmeng, Hu, Yusen, Lin, Xianhui, Kang, Xiaoyang, Jin, Zengke, Luo, Bin, Geng, Yifeng, Xie, Xuansong, Zhou, Jingren
This paper introduces the WordArt Designer API, a novel framework for user-driven artistic typography synthesis utilizing Large Language Models (LLMs) on ModelScope. We address the challenge of simplifying artistic typography for non-professionals by
Externí odkaz:
http://arxiv.org/abs/2401.01699
Multi-view or even multi-modal data is appealing yet challenging for real-world applications. Detecting anomalies in multi-view data is a prominent recent research topic. However, most of the existing methods 1) are only suitable for two views or typ
Externí odkaz:
http://arxiv.org/abs/2310.18728
Autor:
He, Jun-Yan, Cheng, Zhi-Qi, Li, Chenyang, Sun, Jingdong, Xiang, Wangmeng, Lin, Xianhui, Kang, Xiaoyang, Jin, Zengke, Hu, Yusen, Luo, Bin, Geng, Yifeng, Xie, Xuansong, Zhou, Jingren
This paper introduces "WordArt Designer", a user-driven framework for artistic typography synthesis, relying on Large Language Models (LLM). The system incorporates four key modules: the "LLM Engine", "SemTypo", "StyTypo", and "TexTypo" modules. 1) T
Externí odkaz:
http://arxiv.org/abs/2310.18332
Autor:
Bao, Xu, Cheng, Zhi-Qi, He, Jun-Yan, Li, Chenyang, Xiang, Wangmeng, Sun, Jingdong, Liu, Hanbing, Liu, Wei, Luo, Bin, Geng, Yifeng, Xie, Xuansong
Accurate facial landmark detection is critical for facial analysis tasks, yet prevailing heatmap and coordinate regression methods grapple with prohibitive computational costs and quantization errors. Through comprehensive theoretical analysis and ex
Externí odkaz:
http://arxiv.org/abs/2305.16437
Charts are a powerful tool for visually conveying complex data, but their comprehension poses a challenge due to the diverse chart types and intricate components. Existing chart comprehension methods suffer from either heuristic rules or an over-reli
Externí odkaz:
http://arxiv.org/abs/2304.02173
Publikováno v:
In Tunnelling and Underground Space Technology incorporating Trenchless Technology Research October 2023 140
Publikováno v:
In Wear 15 August 2023 526-527
Publikováno v:
In Journal of Manufacturing Processes July 2022 79:666-677