5 papers
From level set evolution to threshold optimization: A grayscale level set framework for image segmentation
Xingkai Li, Jiebao Sun, Fanghui Song +1
The segmentation of multiple degradations has been a challenging problem in the field of image segmentation. Existing level set approaches commonly adopt a length regularization te…
A Smooth Phase-Separation Model for Weak-Boundary Segmentation of Homogeneous Structures
Zihan Li, Jiebao Sun, Fanghui Song +1
Segmentation of adjacent structures with similar intensity distributions remains a challenging problem in image analysis, particularly when object boundaries are weak or ambiguous.…
Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks
Ei Hmue Khine, Yao Li, Jiebao Sun +3
While decision-based black-box adversarial attacks present a severe security threat, current methodologies suffer from fundamental limitations. Pixel-wise attacks frequently introd…
Incorporating Local Hölder Regularity into PINNs for Solving Elliptic PDEs
Qirui Zhou, Jiebao Sun, Yi Ran +1
In this paper, local Hölder regularization is incorporated into a physics-informed neural networks (PINNs) framework for solving elliptic partial differential equations (PDEs). Mo…
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling
Jie Ning, Jiebao Sun, Shengzhu Shi +4
Deep learning-based image denoising models demonstrate remarkable performance, but their lack of robustness analysis remains a significant concern. A major issue is that these mode…