Image Segmentation via the Continuous Max-Flow Method Based on Chan-Vese Model. - Guojia Hou; Huizhu Pan; Ruixue Zhao; Zhonghua Hao; Wanquan Liu (IGTA, 2017)

Multiplicative Noise Removal Based on Total Generalized Variation. - Xinli Xu; Huizhu Pan; Weibo Wei; Guodong Wang 001; Wanquan Liu (IGTA, 2017)

Variational total curvature model for multiplicative noise removal. - Xinli Xu; Teng Yu; Xinmei Xu; Guojia Hou; Ryan Wen Liu; Huizhu Pan (IET Comput. Vis., 2018)

Efficient L1-based nonlocal total variational model of Retinex for image restoration. - Guojia Hou; Huizhu Pan; Baoxiang Huang; Guodong Wang 001; Weibo Wei; Zhenkuan Pan 001 (J. Electronic Imaging, 2018)

The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation. - Jintao Song; Huizhu Pan; Wuanquan Liu; Zhenkuan Pan 001 (CoRR, 2019)

Using the Split Bregman Algorithm to Solve the Self-Repelling Snake Model. - Huizhu Pan; Jintao Song; Wanquan Liu; Ling Li 006; Guanglu Zhou; Lu Tan; Shichu Chen (CoRR, 2020)

The Chan-Vese Model With Elastica and Landmark Constraints for Image Segmentation. - Jintao Song; Huizhu Pan; Wanquan Liu; Zisen Xu; Zhenkuan Pan 001 (IEEE Access, 2021)

Using the Split Bregman Algorithm to Solve the Self-repelling Snakes Model. - Huizhu Pan; Jintao Song; Wanquan Liu; Ling Li 006; Guanglu Zhou; Lu Tan; Shichu Chen (J. Math. Imaging Vis., 2022)

Combining Raft-Based Stereo Disparity and Optical Flow Models For Scene Flow Estimation. - Huizhu Pan; Ling Li 006; Senjian An; Hui Xie 002 (ICIP, 2024)