Jun Liu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 21

Top Topics

Segmentation Method

Convolutional Neural Networks

Top Venues

SIAM J. Imaging Sci.

J. Vis. Commun. Image Represent.

IEEE Trans. Geosci. Remote. Sens.

Publications

Hao Liu, Jun Liu, Raymond Chan, Xue-Cheng Tai
Double-well Net for Image Segmentation. CoRR (2024)
Junying Meng, Faqiang Wang, Jun Liu
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising. SIAM J. Imaging Sci. 17 (1) (2024)
Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang
Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation. SIAM J. Imaging Sci. 17 (2) (2024)
Xiang Chen, Faqiang Wang, Jun Liu, Li Cui
An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport. CoRR (2024)
Jun Liu, Xiangyue Wang, Xue-Cheng Tai
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. J. Math. Imaging Vis. 64 (6) (2022)
Cuicui Zhao, Jun Liu, Xinqi Gong
An adaptive variational model for multireference alignment with mixed noise. BIBM (2022)
Cuicui Zhao, Jun Liu, Jie Zhang
A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise. IEEE Access 9 (2021)
Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
Convexity Shape Prior for Level Set-Based Image Segmentation Method. IEEE Trans. Image Process. 29 (2020)
Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning. J. Vis. Commun. Image Represent. 71 (2020)
Wei Wan, Weihong Guo, Haiyang Huang, Jun Liu
Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 58 (12) (2020)
Faqiang Wang, Haiyang Huang, Jun Liu
Variational-Based Mixed Noise Removal With CNN Deep Learning Regularization. IEEE Trans. Image Process. 29 (2020)
Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang
A Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization. SIAM J. Imaging Sci. 13 (2) (2020)
Jun Liu, Xiangyue Wang, Xue-Cheng Tai
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. CoRR (2020)
Jun Liu, Xue-Cheng Tai, Shousheng Luo
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. CoRR (2020)
Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning. CoRR (2019)
Jun Liu, Stanley J. Osher
Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. J. Sci. Comput. 78 (1) (2019)
Fan Jia, Jun Liu, Xue-Cheng Tai
A Regularized Convolutional Neural Network for Semantic Image Segmentation. CoRR (2019)
Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
Convexity Shape Prior for Level Set based Image Segmentation Method. CoRR (2018)
Faqiang Wang, Haiyang Huang, Jun Liu
Variational based Mixed Noise Removal with CNN Deep Learning Regularization. CoRR (2018)
Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang
Normalized Cut with Adaptive Similarity and Spatial Regularization. CoRR (2018)
Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, Xiaoyue Xing
Learning a Discriminative Distance Metric With Label Consistency for Scene Classification. IEEE Trans. Geosci. Remote. Sens. 55 (8) (2017)
Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang
A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions. J. Vis. Commun. Image Represent. 25 (6) (2014)
Jun Liu, Shingyu Leung
A Splitting Algorithm for Image Segmentation on Manifolds Represented by the Grid Based Particle Method. J. Sci. Comput. 56 (2) (2013)
Jun Liu, Xue-Cheng Tai, Shingyu Leung
A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. EMMCVPR (2013)
Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. IEEE Trans. Image Process. 22 (3) (2013)
Jun Liu, Yin-Bon Ku, Shingyu Leung
Expectation-maximization algorithm with total variation regularization for vector-valued image segmentation. J. Vis. Commun. Image Represent. 23 (8) (2012)
Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. SSVM (2011)
Jun Liu, Zhongdan Huan, Haiyang Huang
Image restoration under mixed noise using globally convex segmentation. J. Vis. Commun. Image Represent. 22 (3) (2011)
Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation. Pattern Recognit. 44 (9) (2011)
Jun Liu, Haiyang Huang, Zhongdan Huan, Haili Zhang
Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise. Int. J. Comput. Vis. 90 (2) (2010)
Jun Liu, Zhongdan Huan, Haiyang Huang, Haili Zhang
An Adaptive Method for Recovering Image from Mixed Noisy Data. Int. J. Comput. Vis. 85 (2) (2009)