5 papers
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…
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,…
Noise-adapted Neural Operator for Robust Non-Line-of-Sight Imaging
Lianfang Wang, Kuilin Qin, Xueying Liu +3
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Computational…
Geometric Constrained Non-Line-of-Sight Imaging
Xueying Liu, Lianfang Wang, Jun Liu +2
Normal reconstruction is crucial in non-line-of-sight (NLOS) imaging, as it provides key geometric and lighting information about hidden objects, which significantly improves recon…