Zobrazeno 1 - 10
of 151 565
pro vyhledávání: '"P. Guang"'
Autor:
Chen, Guang-Jie, Zhao, Dong, Wang, Zhu-Bo, Li, Ziqin, Zhang, Ji-Zhe, Chen, Liang, Zhang, Yan-Lei, Xu, Xin-Biao, Liu, Ai-Ping, Dong, Chun-Hua, Guo, Guang-Can, Huang, Kun, Zou, Chang-Ling
Precise control and manipulation of neutral atoms are essential for quantum technologies but largely dependent on conventional bulky optical setups. Here, we demonstrate a multifunctional metalens that integrates an achromatic lens with large numeric
Externí odkaz:
http://arxiv.org/abs/2411.05501
Autor:
Wang, Lu, Yang, Fangkai, Zhang, Chaoyun, Lu, Junting, Qian, Jiaxu, He, Shilin, Zhao, Pu, Qiao, Bo, Huang, Ray, Qin, Si, Su, Qisheng, Ye, Jiayi, Zhang, Yudi, Lou, Jian-Guang, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
As AI continues to advance, there is a growing demand for systems that go beyond language-based assistance and move toward intelligent agents capable of performing real-world actions. This evolution requires the transition from traditional Large Lang
Externí odkaz:
http://arxiv.org/abs/2412.10047
Autor:
Wang, Mengmeng, Ma, Teli, Xin, Shuo, Hou, Xiaojun, Xing, Jiazheng, Dai, Guang, Wang, Jingdong, Liu, Yong
Visual Object Tracking (VOT) is an attractive and significant research area in computer vision, which aims to recognize and track specific targets in video sequences where the target objects are arbitrary and class-agnostic. The VOT technology could
Externí odkaz:
http://arxiv.org/abs/2412.09991
Autor:
Jin, Ao-Qun, Xiang, Tian-Yu, Zhou, Xiao-Hu, Gui, Mei-Jiang, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Cao, Yue, Duan, Sheng-Bin, Xie, Fu-Chao, Hou, Zeng-Guang
Current robot learning algorithms for acquiring novel skills often rely on demonstration datasets or environment interactions, resulting in high labor costs and potential safety risks. To address these challenges, this study proposes a skill-learning
Externí odkaz:
http://arxiv.org/abs/2412.09286
Autor:
Li, Zejian, Meng, Chenye, Li, Yize, Yang, Ling, Zhang, Shengyuan, Ma, Jiarui, Li, Jiayi, Yang, Guang, Yang, Changyuan, Yang, Zhiyuan, Chang, Jinxiong, Sun, Lingyun
Recent advances in text-to-image (T2I) generation have shown remarkable success in producing high-quality images from text. However, existing T2I models show decayed performance in compositional image generation involving multiple objects and intrica
Externí odkaz:
http://arxiv.org/abs/2412.08580
Autor:
Huang, Wenbo, Zhang, Jinghui, Li, Guang, Zhang, Lei, Wang, Shuoyuan, Dong, Fang, Jin, Jiahui, Ogawa, Takahiro, Haseyama, Miki
In few-shot action recognition~(FSAR), long sub-sequences of video naturally express entire actions more effectively. However, the computational complexity of mainstream Transformer-based methods limits their application. Recent Mamba demonstrates ef
Externí odkaz:
http://arxiv.org/abs/2412.07481
Causal discovery is a crucial initial step in establishing causality from empirical data and background knowledge. Numerous algorithms have been developed for this purpose. Among them, the score-matching method has demonstrated superior performance a
Externí odkaz:
http://arxiv.org/abs/2412.07469
Autor:
Huang, Huawei, Yin, Zhaokang, Chen, Qinde, Ye, Guang, Peng, Xiaowen, Lin, Yue, Zheng, Zibin, Guo, Song
State-of-the-art blockchain sharding solutions such as Monoxide, can cause severely imbalanced distribution of transaction (TX) workloads across all blockchain shards due to the deployment policy of their accounts. Imbalanced TX distributions then pr
Externí odkaz:
http://arxiv.org/abs/2412.07202
Epistemic planning is the sub-field of AI planning that focuses on changing knowledge and belief. It is important in both multi-agent domains where agents need to have knowledge/belief regarding the environment, but also the beliefs of other agents,
Externí odkaz:
http://arxiv.org/abs/2412.07981
Epistemic Planning (EP) is an important research area dedicated to reasoning about the knowledge and beliefs of agents in multi-agent cooperative or adversarial settings. The Justified Perspective (JP) model is the state-of-the-art approach to solvin
Externí odkaz:
http://arxiv.org/abs/2412.07941