Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems

no code implementations • 1 Jan 2024 • Jintao Song, Wenqi Lu, Yunwen Lei, Yuchao Tang, Zhenkuan Pan, Jinming Duan

The Alternating Direction Method of Multipliers (ADMM) has gained significant attention across a broad spectrum of machine learning applications.

Deblurring Image Deblurring +2

Using the Split Bregman Algorithm to Solve the Self-repelling Snake Model

no code implementations • 28 Mar 2020 • Huizhu Pan, Jintao Song, Wanquan Liu, Ling Li, Guanglu Zhou, Lu Tan, Shichu Chen

Preserving contour topology during image segmentation is useful in many practical scenarios.

Image Segmentation Segmentation +1

The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation

no code implementations • 27 May 2019 • Jintao Song, Huizhu Pan, Wuanquan Liu, Zisen Xu, Zhenkuan Pan

In order to completely separate objects with large sections of occluded boundaries in an image, we devise a new variational level set model for image segmentation combining the Chan-Vese model with elastica and landmark constraints.

Computational Efficiency Image Segmentation +2