3 citations · 9 across the 11 of their papers we have counts for
4 papers · 1 filter
Variable-order fractional 1-Laplacian diffusion equations for multiplicative noise removal
Yuhang Li, Zhichang Guo, Jingfeng Shao +2
In this paper, we study a class of fractional -Laplacian diffusion equations with variable orders, proposed as a model for multiplicative noise removal. The existence and unique…
PINNsFailureRegion Localization and Refinement through White-box AdversarialAttack
Shengzhu Shi, Yao Li, Zhichang Guo +2
Physics-informed neural networks (PINNs) have shown great promise in solving partial differential equations (PDEs). However, vanilla PINNs often face challenges when solving comple…
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang, Yao Li, Yin Li +1
Deep neural networks have been widely used in various downstream tasks, especially those safety-critical scenario such as autonomous driving, but deep networks are often threatened…
Boosting the Generalization Ability for Hyperspectral Image Classification using Spectral-spatial Axial Aggregation Transformer
Enzhe Zhao, Zhichang Guo, Shengzhu Shi +3
In the hyperspectral image classification (HSIC) task, the most commonly used model validation paradigm is partitioning the training-test dataset through pixel-wise random sampling…