Zobrazeno 1 - 10
of 19 465
pro vyhledávání: '"An, Xinmin"'
Blind face restoration (BFR) is fundamentally challenged by the extensive range of degradation types and degrees that impact model generalization. Recent advancements in diffusion models have made considerable progress in this field. Nevertheless, a
Externí odkaz:
http://arxiv.org/abs/2411.10508
Autor:
Wang, Hongkui, Hou, Xinmin
Let $k$, $t$ and $m$ be positive integers. A $k$-multiset of $[m]$ is a collection of $k$ elements of $[m]$ with repetition and without ordering. We use $\left(\binom {[m]}{k}\right)$ to denote all the $k$-multisets of $[m]$. Two multiset families $\
Externí odkaz:
http://arxiv.org/abs/2411.02960
Over the past two decades, descent methods have received substantial attention within the multiobjective optimization field. Nonetheless, both theoretical analyses and empirical evidence reveal that existing first-order methods for multiobjective opt
Externí odkaz:
http://arxiv.org/abs/2411.07253
In this paper, we deal with multiobjective composite optimization problems, where each objective function is a combination of smooth and possibly non-smooth functions. We first propose a parameter-dependent conditional gradient method to solve this p
Externí odkaz:
http://arxiv.org/abs/2410.18465
Autor:
Wang, Hongyu, Hou, Xinmin
The Faber-Krahn inequality states that the first Dirichlet eigenvalue among all bounded domains is no less than a Euclidean ball with the same volume in $\mathbb{R}^n$ \cite{Chavel FB}. B{\i}y{\i}ko\u{g}lu and Leydold (J. Comb. Theory, Ser. B., 2007)
Externí odkaz:
http://arxiv.org/abs/2410.17630
Stochastic multi-objective optimization (SMOO) has recently emerged as a powerful framework for addressing machine learning problems with multiple objectives. The bias introduced by the nonlinearity of the subproblem solution mapping complicates the
Externí odkaz:
http://arxiv.org/abs/2410.06632
The time-critical industrial applications pose intense demands for enabling long-distance deterministic networks. However, previous priority-based and weight-based scheduling methods focus on probabilistically reducing average delay, which ignores st
Externí odkaz:
http://arxiv.org/abs/2409.09592
Autor:
Li, Zhuoyuan, Liao, Junqi, Tang, Chuanbo, Zhang, Haotian, Li, Yuqi, Bian, Yifan, Sheng, Xihua, Feng, Xinmin, Li, Yao, Gao, Changsheng, Li, Li, Liu, Dong, Wu, Feng
Image/video coding has been a remarkable research area for both academia and industry for many years. Testing datasets, especially high-quality image/video datasets are desirable for the justified evaluation of coding-related research, practical appl
Externí odkaz:
http://arxiv.org/abs/2409.08481
The DLVO theory and electrical double layer (EDL) theory are the foundation of colloid and interface science. With the invention and development of surface forces apparatus (SFA) and atomic force microscope (AFM), the measurements and interpretations
Externí odkaz:
http://arxiv.org/abs/2408.10870
In this paper, we develop a unified framework and convergence analysis of descent methods for vector optimization problems (VOPs) from a majorization-minimization perspective. By choosing different surrogate functions, the generic method reduces to s
Externí odkaz:
http://arxiv.org/abs/2407.13245