An Adaptive Method for Recovering Image from Mixed Noisy Data. - Jun Liu 029; Zhongdan Huan; Haiyang Huang 001; Haili Zhang (Int. J. Comput. Vis., 2009)

Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise. - Jun Liu 029; Haiyang Huang 001; Zhongdan Huan; Haili Zhang (Int. J. Comput. Vis., 2010)

Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. - Jun Liu 029; Xue-Cheng Tai; Haiyang Huang 001; Zhongdan Huan (SSVM, 2011)

Image restoration under mixed noise using globally convex segmentation. - Jun Liu 029; Zhongdan Huan; Haiyang Huang 001 (J. Vis. Commun. Image Represent., 2011)

A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation. - Jun Liu 029; Xue-Cheng Tai; Haiyang Huang 001; Zhongdan Huan (Pattern Recognit., 2011)

Expectation-maximization algorithm with total variation regularization for vector-valued image segmentation. - Jun Liu 029; Yin-Bon Ku; Shingyu Leung (J. Vis. Commun. Image Represent., 2012)

A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. - Jun Liu 029; Xue-Cheng Tai; Shingyu Leung (EMMCVPR, 2013)

A Splitting Algorithm for Image Segmentation on Manifolds Represented by the Grid Based Particle Method. - Jun Liu 029; Shingyu Leung (J. Sci. Comput., 2013)

A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. - Jun Liu 029; Xue-Cheng Tai; Haiyang Huang 001; Zhongdan Huan (IEEE Trans. Image Process., 2013)

A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions. - Jun Liu 029; Xue-Cheng Tai; Shingyu Leung; Haiyang Huang 001 (J. Vis. Commun. Image Represent., 2014)

Learning a Discriminative Distance Metric With Label Consistency for Scene Classification. - Yuebin Wang; Liqiang Zhang 001; Hao Deng 004; Jiwen Lu; Haiyang Huang 001; Liang Zhang 023; Jun Liu 029; Hong Tang; Xiaoyue Xing (IEEE Trans. Geosci. Remote. Sens., 2017)

Normalized Cut with Adaptive Similarity and Spatial Regularization. - Faqiang Wang; Cuicui Zhao; Jun Liu 029; Haiyang Huang 001 (CoRR, 2018)

A Regularized Convolutional Neural Network for Semantic Image Segmentation. - Fan Jia; Jun Liu 029; Xue-Cheng Tai (CoRR, 2019)

Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning. - Haifeng Li; Jun Liu 029; Li Cui; Haiyang Huang 001; Xue-Cheng Tai (CoRR, 2019)

Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. - Jun Liu 029; Stanley J. Osher (J. Sci. Comput., 2019)

Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. - Jun Liu 029; Xiangyue Wang; Xue-Cheng Tai (CoRR, 2020)

Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. - Jun Liu 029; Xue-Cheng Tai; Shousheng Luo (CoRR, 2020)

Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning. - Haifeng Li; Jun Liu 029; Li Cui; Haiyang Huang 001; Xue-Cheng Tai (J. Vis. Commun. Image Represent., 2020)

A Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization. - Faqiang Wang; Cuicui Zhao; Jun Liu 029; Haiyang Huang 001 (SIAM J. Imaging Sci., 2020)

Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution. - Wei Wan; Weihong Guo 002; Haiyang Huang 001; Jun Liu 029 (IEEE Trans. Geosci. Remote. Sens., 2020)

Variational-Based Mixed Noise Removal With CNN Deep Learning Regularization. - Faqiang Wang; Haiyang Huang 001; Jun Liu 029 (IEEE Trans. Image Process., 2020)

Convexity Shape Prior for Level Set-Based Image Segmentation Method. - Shi Yan 003; Xue-Cheng Tai; Jun Liu 029; Haiyang Huang 001 (IEEE Trans. Image Process., 2020)

A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise. - Cuicui Zhao; Jun Liu 029; Jie Zhang 008 (IEEE Access, 2021)

An adaptive variational model for multireference alignment with mixed noise. - Cuicui Zhao; Jun Liu 029; Xinqi Gong (BIBM, 2022)

Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. - Jun Liu 029; Xiangyue Wang; Xue-Cheng Tai (J. Math. Imaging Vis., 2022)

Dual Mixture Model Based CNN for Image Denoising. - Zhuoxiao Li; Faqiang Wang; Li Cui; Jun Liu 029 (IEEE Trans. Image Process., 2022)

Image Segmentation with Adaptive Spatial Priors from Joint Registration. - Haifeng Li; Weihong Guo 002; Jun Liu 029; Li Cui; Dongxing Xie (SIAM J. Imaging Sci., 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)

An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport. - Xiang Chen; Faqiang Wang; Jun Liu 029; Li Cui (CoRR, 2024)

Double-Well Net for Image Segmentation. - Hao Liu 028; Jun Liu 029; Raymond H. Chan; Xue-Cheng Tai (Multiscale Model. Simul., 2024)

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)

Adaptive Attention Based on Mixture Distribution for Zero-Shot Non-Line-of-Sight Imaging. - Qinghua Zhang; Jun Liu 029; Yuping Duan (IEEE Signal Process. Lett., 2025)

Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton With Segment Anything Model. - Jun Xie; Wenxiao Li 007; Faqiang Wang; Liqiang Zhang 001; Zhengyang Hou; Jun Liu 029 (IEEE Trans. Geosci. Remote. Sens., 2025)

Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning-Based Image Segmentation. - Shengzhe Chen; Zhaoxuan Dong; Jun Liu 029 (IEEE Trans. Image Process., 2025)

Edge Manipulations for the Maximum Vertex-Weighted Bipartite b-matching. - Gennaro Auricchio; Jun Liu 029; Qun Ma; Jie Zhang 008 (ACM Trans. Intell. Syst. Technol., 2025)