1 citations · 2 across the 6 of their papers we have counts for
7 papers
Continuous-tone Simple Points: An -Norm of Cyclic Gradient for Topology-Preserving Data-Driven Image Segmentation
Wenxiao Li, Faqiang Wang, Yuping Duan +3
Topological features play an essential role in ensuring geometric plausibility and structural consistency in image analysis tasks such as segmentation and skeletonization. However,…
Deep Neural Networks Inspired by Differential Equations
Yongshuai Liu, Lianfang Wang, Kuilin Qin +6
Deep learning has become a pivotal technology in fields such as computer vision, scientific computing, and dynamical systems, significantly advancing these disciplines. However, ne…
Contour Field based Elliptical Shape Prior for the Segment Anything Model
Xinyu Zhao, Faqiang Wang, Li Cui +2
The elliptical shape prior information plays a vital role in improving the accuracy of image segmentation for specific tasks in medical and natural images. Existing deep learning-b…
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
Jun Xie, Wenxiao Li, Faqiang Wang +3
Morphological methods play a crucial role in remote sensing image processing, due to their ability to capture and preserve small structural details. However, most of the existing d…
An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport
Xiang Chen, Faqiang Wang, Jun Liu +1
The Unbalanced Optimal Transport (UOT) problem plays increasingly important roles in computational biology, computational imaging and deep learning. Scaling algorithm is widely use…
A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization
Faqiang Wang, Cuicui Zhao, Jun Liu +1
Image segmentation is a fundamental research topic in image processing and computer vision. In the last decades, researchers developed a large number of segmentation algorithms for…
Variational based Mixed Noise Removal with CNN Deep Learning Regularization
Faqiang Wang, Haiyang Huang, Jun Liu
In this paper, the traditional model based variational method and learning based algorithms are naturally integrated to address mixed noise removal problem. To be different from si…