Jun Liu

According to our database, Jun Liu authored at least 31 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising.

Junying Meng, Faqiang Wang, Jun Liu

SIAM J. Imaging Sci., March, 2024

An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport.

Xiang Chen, Faqiang Wang, Jun Liu, Li Cui

CoRR, 2024

Double-well Net for Image Segmentation.

Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai

CoRR, 2024

2023

Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model.

Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang

CoRR, 2023

2022

Image Segmentation with Adaptive Spatial Priors from Joint Registration.

Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie

SIAM J. Imaging Sci., September, 2022

Dual Mixture Model Based CNN for Image Denoising.

Zhuoxiao Li, Faqiang Wang, Li Cui, Jun Liu

IEEE Trans. Image Process., 2022

Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation.

Jun Liu, Xiangyue Wang, Xue-Cheng Tai

J. Math. Imaging Vis., 2022

An adaptive variational model for multireference alignment with mixed noise.

Cuicui Zhao, Jun Liu, Xinqi Gong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise.

Cuicui Zhao, Jun Liu, Jie Zhang

IEEE Access, 2021

2020

Convexity Shape Prior for Level Set-Based Image Segmentation Method.

Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang

IEEE Trans. Image Process., 2020

Variational-Based Mixed Noise Removal With CNN Deep Learning Regularization.

Faqiang Wang, Haiyang Huang, Jun Liu

IEEE Trans. Image Process., 2020

Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution.

Wei Wan, Weihong Guo, Haiyang Huang, Jun Liu

IEEE Trans. Geosci. Remote. Sens., 2020

A Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization.

Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang

SIAM J. Imaging Sci., 2020

Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning.

Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai

J. Vis. Commun. Image Represent., 2020

Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation.

Jun Liu, Xue-Cheng Tai, Shousheng Luo

CoRR, 2020

Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation.

Jun Liu, Xiangyue Wang, Xue-Cheng Tai

CoRR, 2020

2019

Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising.

Jun Liu, Stanley J. Osher

J. Sci. Comput., 2019

Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning.

Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai

CoRR, 2019

A Regularized Convolutional Neural Network for Semantic Image Segmentation.

Fan Jia, Jun Liu, Xue-Cheng Tai

CoRR, 2019

2018

Normalized Cut with Adaptive Similarity and Spatial Regularization.

Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang

CoRR, 2018

2017

Learning a Discriminative Distance Metric With Label Consistency for Scene Classification.

Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, Xiaoyue Xing

IEEE Trans. Geosci. Remote. Sens., 2017

2014

A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions.

Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang

J. Vis. Commun. Image Represent., 2014

2013

A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise.

Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan

IEEE Trans. Image Process., 2013

A Splitting Algorithm for Image Segmentation on Manifolds Represented by the Grid Based Particle Method.

Jun Liu, Shingyu Leung

J. Sci. Comput., 2013

A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation.

Jun Liu, Xue-Cheng Tai, Shingyu Leung

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012

Expectation-maximization algorithm with total variation regularization for vector-valued image segmentation.

Jun Liu, Yin-Bon Ku, Shingyu Leung

J. Vis. Commun. Image Represent., 2012

2011

A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation.

Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan

Pattern Recognit., 2011

Image restoration under mixed noise using globally convex segmentation.

Jun Liu, Zhongdan Huan, Haiyang Huang

J. Vis. Commun. Image Represent., 2011

Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization.

Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2010

Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise.

Jun Liu, Haiyang Huang, Zhongdan Huan, Haili Zhang

Int. J. Comput. Vis., 2010

2009

An Adaptive Method for Recovering Image from Mixed Noisy Data.

Jun Liu, Zhongdan Huan, Haiyang Huang, Haili Zhang

Int. J. Comput. Vis., 2009