activity
20142024
most citedInertial primal-dual algorithms for structured convex optimization

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Implicit Regression in Subspace for High-Sensitivity CEST Imaging

Chu Chen, Yang Liu, Se Weon Park +3

Chemical Exchange Saturation Transfer (CEST) MRI demonstrates its capability in significantly enhancing the detection of proteins and metabolites with low concentrations through ex…

cs.CV2024

VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising

Yuxiang Hui, Yang Liu, Yaofang Liu +4

Video restoration task aims to recover high-quality videos from low-quality observations. This contains various important sub-tasks, such as video denoising, deblurring and low-lig…

cs.LG2023

Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm

Dong Li, Shuisheng Zhou, Tieyong Zeng +1

K-Means algorithm is a popular clustering method. However, it has two limitations: 1) it gets stuck easily in spurious local minima, and 2) the number of clusters k has to be given…

cs.CV20233 cited

Continuous U-Net: Faster, Greater and Noiseless

Chun-Wun Cheng, Christina Runkel, Lihao Liu +3

Image segmentation is a fundamental task in image analysis and clinical practice. The current state-of-the-art techniques are based on U-shape type encoder-decoder networks with sk…

math.OC20148 cited

Inertial primal-dual algorithms for structured convex optimization

Raymond H. Chan, Shiqian Ma, Junfeng Yang

The primal-dual algorithm recently proposed by Chambolle & Pock (abbreviated as CPA) for structured convex optimization is very efficient and popular. It was shown by Chambolle & P…