Zobrazeno 1 - 10
of 94 916
pro vyhledávání: '"An, Yujie"'
Generating comics through text is widely studied. However, there are few studies on generating multi-panel Manga (Japanese comics) solely based on plain text. Japanese manga contains multiple panels on a single page, with characteristics such as cohe
Externí odkaz:
http://arxiv.org/abs/2412.19303
Metaphor detection, a critical task in natural language processing, involves identifying whether a particular word in a sentence is used metaphorically. Traditional approaches often rely on supervised learning models that implicitly encode semantic r
Externí odkaz:
http://arxiv.org/abs/2412.17332
Recently, significant advancements have been made in diffusion-based visual text generation models. Although the effectiveness of these methods in visual text rendering is rapidly improving, they still encounter challenges such as inaccurate characte
Externí odkaz:
http://arxiv.org/abs/2412.17225
Previous work [Physical Review Letters 114, 213601 (2015)] has shown that thermal light with a blackbody spectrum cannot be decomposed as a mixture of independent localized pulses. We find that thermal light with a flat spectrum, which can occur when
Externí odkaz:
http://arxiv.org/abs/2412.17223
Autor:
Zhou, Guangdi, Lv, Wei, Wang, Heng, Nie, Zihao, Chen, Yaqi, Li, Yueying, Huang, Haoliang, Chen, Weiqiang, Sun, Yujie, Xue, Qi-Kun, Chen, Zhuoyu
The discovery of bilayer nickelate superconductors under high pressure has opened a new chapter in high-transition temperature (high-TC) superconductivity. Here, we report ambient-pressure superconductivity onset above the McMillan limit (40 K) in bi
Externí odkaz:
http://arxiv.org/abs/2412.16622
Autor:
Pishehvar, Amin, Wang, Zhaoyou, Zhu, Yujie, Jiang, Yu, Yan, Zixin, Li, Fangxin, Jornet, Josep M., Hu, Jia-Mian, Jiang, Liang, Zhang, Xufeng
Cavity magnonics is a promising field focusing the interaction between spin waves (magnons) and other types of signals. In cavity magnonics, the function of isolating magnons from the cavity to allow signal storage and processing fully in the magnoni
Externí odkaz:
http://arxiv.org/abs/2412.15600
Inductive Knowledge Graph Completion (KGC) aims to infer missing facts between newly emerged entities within knowledge graphs (KGs), posing a significant challenge. While recent studies have shown promising results in inferring such entities through
Externí odkaz:
http://arxiv.org/abs/2412.15822
Autor:
Mao, Qianren, Luo, Yangyifei, Zhang, Jinlong, Hao, Hanwen, Cao, Zhilong, Wang, Xiaolong, Guan, Xiao, Huang, Zhenting, Jiang, Weifeng, Guo, Shuyu, Han, Zhentao, Zhang, Qili, Tao, Siyuan, Liu, Yujie, Liu, Junnan, Tan, Zhixing, Sun, Jie, Li, Bo, Liu, Xudong, Zhang, Richong, Li, Jianxin
Retrieval-augmented generation (RAG) synergizes the retrieval of pertinent data with the generative capabilities of Large Language Models (LLMs), ensuring that the generated output is not only contextually relevant but also accurate and current. We i
Externí odkaz:
http://arxiv.org/abs/2412.15529
Skeleton-based action recognition using GCNs has achieved remarkable performance, but recognizing ambiguous actions, such as "waving" and "saluting", remains a significant challenge. Existing methods typically rely on a serial combination of GCNs and
Externí odkaz:
http://arxiv.org/abs/2412.14833
Boosted by Multi-modal Large Language Models (MLLMs), text-guided universal segmentation models for the image and video domains have made rapid progress recently. However, these methods are often developed separately for specific domains, overlooking
Externí odkaz:
http://arxiv.org/abs/2412.14006