Target Tracking Based on Optimized Particle Filter Algorithm. - Junying Meng; Jiaomin Liu; Juan Wang; Ming Han (J. Softw., 2013)

Anisotropic Diffusion Combined with Nonconvex Functional for Noise Image Segmentation. - Ming Han; Jing-Qin Wang; Qian Dong; Jing-Tao Wang; Junying Meng (Int. J. Pattern Recognit. Artif. Intell., 2021)

On Image Segmentation Based on Local Entropy Fitting Under Nonconvex Regularization Term Constraints. - Ming Han; Jing-Qin Wang; Jing-Tao Wang; Junying Meng (Int. J. Pattern Recognit. Artif. Intell., 2021)

Research on target tracking algorithm based on mean shift with adaptive bandwidth. - Ming Han; Jingqin Wang; Jing-Tao Wang; Junying Meng; Ying Cheng (J. Comput. Methods Sci. Eng., 2022)

Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model. - Junying Meng; Weihong Guo 002; Jun Liu 029; Mingrui Yang (CoRR, 2023)

Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation. - Junying Meng; Weihong Guo 002; Jun Liu 029; Mingrui Yang (SIAM J. Imaging Sci., 2024)

Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising. - Junying Meng; Faqiang Wang; Jun Liu 029 (SIAM J. Imaging Sci., 2024)