1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
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…
math.OC2024
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…
cs.CV2018★ 1 cited
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…