2 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2020
Effective two-stage image segmentation: a new non-Lipschitz decomposition approach with convergent algorithm
Xueyan Guo, Yunhua Xue, Chunlin Wu
Image segmentation is an important median level vision topic. Accurate and efficient multiphase segmentation for images with intensity inhomogeneity is still a great challenge. We…
math.OC2019★ 2 cited
Every critical point of an L0 composite minimization problem is a local minimizer
Xue Feng, Chunlin Wu
Nowadays, L0 optimization model has shown its superiority when pursuing sparsity in many areas. For this nonconvex problem, most of the algorithms can only converge to one of its c…
math.OC2016★ 1 cited
-regularized Variational Methods for Sparse Phase Retrieval
Yuping Duan, Chunlin Wu, Zhi-Feng Pang +1
We study the problem of recovering the underlining sparse signals from clean or noisy phaseless measurements. Due to the sparse prior of signals, we adopt an L0regularized variatio…