Zobrazeno 1 - 10
of 6 925
pro vyhledávání: '"SHEN, Hao"'
Autor:
Du, Jin, Zhang, Xinhe, Shen, Hao, Xian, Xun, Wang, Ganghua, Zhang, Jiawei, Yang, Yuhong, Li, Na, Liu, Jia, Ding, Jie
Lifelong learning in artificial intelligence (AI) aims to mimic the biological brain's ability to continuously learn and retain knowledge, yet it faces challenges such as catastrophic forgetting. Recent neuroscience research suggests that neural acti
Externí odkaz:
http://arxiv.org/abs/2409.13997
Neutron star (NS) has many extreme physical conditions, and one may obtain some important informations about NS via accreting neutron star binary (ANSB) systems. The upcoming Chinese Space Station Telescope (CSST) provides an opportunity to search fo
Externí odkaz:
http://arxiv.org/abs/2409.03389
Autor:
Shen, Hao, Li, Zihan, Yang, Minqiang, Ni, Minghui, Tao, Yongfeng, Yu, Zhengyang, Zheng, Weihao, Xu, Chen, Hu, Bin
In contemporary society, the issue of psychological health has become increasingly prominent, characterized by the diversification, complexity, and universality of mental disorders. Cognitive Behavioral Therapy (CBT), currently the most influential a
Externí odkaz:
http://arxiv.org/abs/2407.17730
In real-world applications of human pose estimation, low-resolution input images are frequently encountered when the performance of the image acquisition equipment is limited or the shooting distance is too far. However, existing state-of-the-art mod
Externí odkaz:
http://arxiv.org/abs/2405.12247
In practical applications of human pose estimation, low-resolution inputs frequently occur, and existing state-of-the-art models perform poorly with low-resolution images. This work focuses on boosting the performance of low-resolution models by dist
Externí odkaz:
http://arxiv.org/abs/2405.11448
Video Anomaly Detection (VAD), aiming to identify abnormalities within a specific context and timeframe, is crucial for intelligent Video Surveillance Systems. While recent deep learning-based VAD models have shown promising results by generating hig
Externí odkaz:
http://arxiv.org/abs/2403.19111
Existing research based on deep learning has extensively explored the problem of daytime image dehazing. However, few studies have considered the characteristics of nighttime hazy scenes. There are two distinctions between nighttime and daytime haze.
Externí odkaz:
http://arxiv.org/abs/2403.18548
Autor:
Gu, Zhouhong, Zhu, Xiaoxuan, Guo, Haoran, Zhang, Lin, Cai, Yin, Shen, Hao, Chen, Jiangjie, Ye, Zheyu, Dai, Yifei, Gao, Yan, Hu, Yao, Feng, Hongwei, Xiao, Yanghua
Language significantly influences the formation and evolution of Human emergent behavior, which is crucial in understanding collective intelligence within human societies. Considering that the study of how language affects human behavior needs to put
Externí odkaz:
http://arxiv.org/abs/2403.13433
This article revisits the problem of global well-posedness for the generalized parabolic Anderson model on $\mathbb{R}^+\times \mathbb{T}^2$ within the framework of paracontrolled calculus \cite{GIP15}. The model is given by the equation: \begin{equa
Externí odkaz:
http://arxiv.org/abs/2402.19137
We investigate the Langevin dynamics of various lattice formulations of the Yang-Mills-Higgs model, where the Higgs component takes values in $\mathbb{R}^N$, $\mathbb{S}^{N-1}$ or a Lie group. We prove the exponential ergodicity of the dynamics on th
Externí odkaz:
http://arxiv.org/abs/2401.13299