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In this paper, we first focus on the speed selection problem for the reaction-diffusion equation of the monostable type. By investigating the decay rates of the minimal traveling wave front, we propose a sufficient and necessary condition that reveal
Externí odkaz:
http://arxiv.org/abs/2408.10480
Autor:
Tan, Wei, Liu, Wei-Xin, Chen, Ying-Xin, Zhou, Chi-Hua, Zhao, Guo-Dong, Chang, Hong, Wang, Tao
Manipulating quantum states is at the heart of quantum information processing and quantum metrology. Landau-Zener Rabi oscillation (LZRO), which arises from a quantum two-level system swept repeatedly across the avoided crossing point in the time dom
Externí odkaz:
http://arxiv.org/abs/2408.09922
Traditional semi-supervised learning (SSL) assumes that the feature distributions of labeled and unlabeled data are consistent which rarely holds in realistic scenarios. In this paper, we propose a novel SSL setting, where unlabeled samples are drawn
Externí odkaz:
http://arxiv.org/abs/2405.20596
Autor:
Luo, Mingshuang, Hou, Ruibing, Li, Zhuo, Chang, Hong, Liu, Zimo, Wang, Yaowei, Shan, Shiguang
This paper presents M$^3$GPT, an advanced $\textbf{M}$ultimodal, $\textbf{M}$ultitask framework for $\textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representat
Externí odkaz:
http://arxiv.org/abs/2405.16273
Autor:
Zhao, Jiahe, Hou, Ruibing, Chang, Hong, Gu, Xinqian, Ma, Bingpeng, Shan, Shiguang, Chen, Xilin
Current clothes-changing person re-identification (re-id) approaches usually perform retrieval based on clothes-irrelevant features, while neglecting the potential of clothes-relevant features. However, we observe that relying solely on clothes-irrel
Externí odkaz:
http://arxiv.org/abs/2404.09507
Autor:
Li, Xuetong, Gao, Yuan, Chang, Hong, Huang, Danyang, Ma, Yingying, Pan, Rui, Qi, Haobo, Wang, Feifei, Wu, Shuyuan, Xu, Ke, Zhou, Jing, Zhu, Xuening, Zhu, Yingqiu, Wang, Hansheng
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rapidly developed in the past decades. In this work, we focus on three ca
Externí odkaz:
http://arxiv.org/abs/2403.11163
Multi-modal 3D object detection has exhibited significant progress in recent years. However, most existing methods can hardly scale to long-range scenarios due to their reliance on dense 3D features, which substantially escalate computational demands
Externí odkaz:
http://arxiv.org/abs/2403.10036
Few-shot learning (FSL) aims to learn novel tasks with very few labeled samples by leveraging experience from \emph{related} training tasks. In this paper, we try to understand FSL by delving into two key questions: (1) How to quantify the relationsh
Externí odkaz:
http://arxiv.org/abs/2403.03535
Autor:
Lu, Xiao-Tong, Guo, Feng, Liu, Yan-Yan, Xia, Jing-Jing, Zhao, Guo-Dong, Chen, Ying-Xin, Wang, Ye-Bing, Lu, Ben-Quan, Chang, Hong
We report a measurement of the radiative lifetime of the $5s5p \; {}^{\rm{3}}P^{\rm{o}}_{\rm{0}}$ metastable state in ${}^{87}$Sr, which is coupled to the 5$s^{\rm{2}} \;$ ${}^{\rm{1}}S_{\rm{0}}$ ground state via a hyperfine-induced electric dipole t
Externí odkaz:
http://arxiv.org/abs/2401.11173