Zobrazeno 1 - 10
of 41 187
pro vyhledávání: '"An Jinhui"'
Multi-Image Super-Resolution (MISR) is a crucial yet challenging research task in the remote sensing community. In this paper, we address the challenging task of Multi-Image Super-Resolution in Remote Sensing (MISR-RS), aiming to generate a High-Reso
Externí odkaz:
http://arxiv.org/abs/2411.04706
We study the problem of fitting the high dimensional sparse linear regression model with sub-Gaussian covariates and responses, where the data are provided by strategic or self-interested agents (individuals) who prioritize their privacy of data disc
Externí odkaz:
http://arxiv.org/abs/2410.13046
Stable limit cycle as a stabilized mechanical oscillation is the primary result of the dynamical evolution of an optomechanical system under sufficiently powerful pump. Because this dynamical process is highly nonlinear, it was not clear whether ther
Externí odkaz:
http://arxiv.org/abs/2410.09260
This report presents our method for Temporal Action Localisation (TAL), which focuses on identifying and classifying actions within specific time intervals throughout a video sequence. We employ a data augmentation technique by expanding the training
Externí odkaz:
http://arxiv.org/abs/2410.09088
The differential equation-based image restoration approach aims to establish learnable trajectories connecting high-quality images to a tractable distribution, e.g., low-quality images or a Gaussian distribution. In this paper, we reformulate the tra
Externí odkaz:
http://arxiv.org/abs/2410.04811
Machine Unlearning has emerged as a significant area of research, focusing on 'removing' specific subsets of data from a trained model. Fine-tuning (FT) methods have become one of the fundamental approaches for approximating unlearning, as they effec
Externí odkaz:
http://arxiv.org/abs/2410.03833
Autor:
Bai, JinHui, Shi, Lei
Inspired by the structure of spherical harmonics, we propose the truncated kernel stochastic gradient descent (T-kernel SGD) algorithm with a least-square loss function for spherical data fitting. T-kernel SGD employs a "truncation" operation, enabli
Externí odkaz:
http://arxiv.org/abs/2410.01570
Privacy leakage and Byzantine failures are two adverse factors to the intelligent decision-making process of multi-agent systems (MASs). Considering the presence of these two issues, this paper targets the resolution of a class of nonconvex optimizat
Externí odkaz:
http://arxiv.org/abs/2409.18632
We explore the potential of studying sterile neutrinos at a future high-energy muon collider, where these particles can generate small active neutrino masses via the seesaw mechanism and exhibit long-lived particle signatures. A Dirac sterile neutrin
Externí odkaz:
http://arxiv.org/abs/2409.17243
Autor:
Conde, Marcos V., Vasluianu, Florin-Alexandru, Xiong, Jinhui, Ye, Wei, Ranjan, Rakesh, Timofte, Radu
The increasing demand for augmented reality (AR) and virtual reality (VR) applications highlights the need for efficient depth information processing. Depth maps, essential for rendering realistic scenes and supporting advanced functionalities, are t
Externí odkaz:
http://arxiv.org/abs/2409.16277