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ORCIDJun Liu 0029
Person information
- affiliation: Beijing Normal University, School of Mathematical Sciences, MoE Laboratory of Mathematics and Complex Systems, China
Other persons with the same name
- Jun Liu — disambiguation page
- Jun Liu 0001
![[0000-0001-8859-5405]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8859-5405")
— University of Ulster, Jordanstown, UK (and 3 more) - Jun Liu 0002 — Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China (and 1 more)
- Jun Liu 0003 — Infinia ML Inc., Durham, NC, USA (and 4 more)
- Jun Liu 0004 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 3 more)
- Jun Liu 0005 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China (and 2 more)
- Jun Liu 0006 — Beihang University, School of Electronic and Information Engineering, Beijing, China (and 4 more)
- Jun Liu 0007 — City University of Hong Kong, Department of Mechanical Engineering, Hong Kong (and 1 more)
- Jun Liu 0008 — Pennsylvania State University, University Park, PA, USA
- Jun Liu 0009 — University of Alabama, Tuscaloosa, AL, USA (and 1 more)
- Jun Liu 0010 — Guangzhou University of Chinese Medicine, Guangzhou, China
- Jun Liu 0011 — Wuhan University of Science and Technology, Wuhan, China (and 1 more)
- Jun Liu 0012 — Northeast Normal University, School of Mathematics and Statistics, Changchun, China (and 1 more)
- Jun Liu 0013 — University of North Dakota, Grand Forks, ND, USA (and 1 more)
- Jun Liu 0014 — Beijing University of Posts and Telecommunications, Center for Data Science, Beijing, China
- Jun Liu 0015 — University of Waterloo, Canada (and 2 more)
- Jun Liu 0016 — Tsinghua University, Institute of Human Factos and Ergonomics, Beijing, China
- Jun Liu 0017 — Singapore Management University, Singapore (and 1 more)
- Jun Liu 0018 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Jun Liu 0019 — Quijing Normal University, College of Mathematics and Information Science, Quijing, China
- Jun Liu 0020 — Nanyang Technological University, Singapore
- Jun Liu 0021 — Guangxi University, Nanning, China
- Jun Liu 0022 — Iowa State University, Ames, IA, USA
- Jun Liu 0023 — University of Bremen, Germany
- Jun Liu 0024 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Jun Liu 0025 — Jackson State University, Jackson, MS, USA (and 1 more)
- Jun Liu 0026 — Hangzhou Dianzi University, College of Automation, Hangzhou, China (and 1 more)
- Jun Liu 0027 — Hangzhou Dianzi University, Key Laboratory of RF Circuits and Systems, Hangzhou, China (and 1 more)
- Jun Liu 0028 — Dakota State University, Madison, SD, USA
- Jun Liu 0030 — Guangdong Polytechnic Normal University, School of Automation, Guangzhou, China (and 1 more)
- Jun Liu 0031 — Chinese Academy of Railway Sciences, Beijing, China (and 1 more)
- Jun Liu 0032 — Dakota State University, College of Business and Information Systems, Madison, SD, USA (and 2 more)
- Jun Liu 0033 — Northeastern University, Shenyang, China
- Jun Liu 0034 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Jun Liu 0035 — Tsinghua University, Beijing, China (and 1 more)
- Jun Liu 0036 — Singapore University of Technology and Design (and 2 more)
- Jun Liu 0037 — Columbia University, Department of Psychiatry, New York, NY, USA
- Jun Liu 0038 — Linear Technology, Milpitas, CA, USA (and 1 more)
- Jun Liu 0039 — Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, Wuhan, China
- Jun Liu 0040 — Naval Aeronautical and Astronautical University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0041 — Southwest University, School of Engineering and Technology, Chongqing, China
- Jun Liu 0042 — Chongqing University, Key Laboratory of Optoelectronics Technology and Systems / College of Optoelectronic Engineering, China
- Jun Liu 0043 — Ohio State University, Department of Biomedical Engineering, Columbus, OH, USA
- Jun Liu 0044 — Chongqing University of Posts and Telecommunications, College of Software Engineering, China (and 1 more)
- Jun Liu 0045 — Technical University of Berlin, Germany
- Jun Liu 0046 — Chengdu University of Information Technology, School of Control Engineering, China (and 1 more)
- Jun Liu 0047 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Jun Liu 0048 — National University of Defense Technology, College of Meteorology and Oceanology, Changsha, China
- Jun Liu 0049 — Nanjing University of Information Science & Technology, School of Computer & Software / Jiangsu Engineering Center of Network Monitoring, China
- Jun Liu 0050 — Naval Aviation University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0051 — Chongqing University of Posts and Telecommunications, Department of Optoelectronics Engineering, China
- Jun Liu 0052 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Jun Liu 0053 — Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China (and 1 more)
- Jun Liu 0054 — University of Birmingham, School of Metallurgy and Materials, Birmingham, UK
- Jun Liu 0055 — Qingdao Agricultural University, Qingdao, China (and 1 more)
- Jun Liu 0056 — Beijing Foreign Studies University, International Business School, Beijing, China
- Jun Liu 0057 — Jiangxi University of Finance and Economics, School of Statistics, Nanchang, China
- Jun Liu 0058 — Xi'an University of Technology, College of Automation, Xi'an, China
- Jun Liu 0059 — Chinese Academy of Sciences, Computer Network and Information Center, Beijing, China
- Jun Liu 0060 — Virginia Tech, Blacksburg, VA, USA
- Jun Liu 0061 — Beijing Jiaotong University, School of Traffic and Transportation, Beijing, China
- Jun Liu 0062 — University of Copenhagen, Denmark
- Jun Liu 0063 — Peking University, School of Electronics Engineering and Computer Science, Center for Energy-Efficient Computing and Applications, Beijing, China
- Jun Liu 0064 — China University of Petroleum, College of Science, Qingdao, China (and 1 more)
- Jun Liu 0065 — Qujing Normal University, Institute of Applied Mathematics, China
- Jun Liu 0066 — Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- Jun Liu 0067 — Northeastern University, School of Sciences, Shenyang, China
- Jun Liu 0069 — Nanyang Technological University, Singapore
- Jun Liu 0070 — Hefei University of Technology, School of Computer and Information, China
- Jun Liu 0071 — University of Macau, Zhuhai, Macau
- Jun Liu 0072 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, LIESMARS, China
- Jun Liu 0073 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Hubei, China
- Jun Liu 0074 — University of New South Wales, Sydney, NSW, Australia
- Jun Liu 0075 — Central South University, Department of Radiology Quality Control Center, Second Xiangya Hospital, Changsha, China
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2020 – today
- 2024
[j21]Junying Meng, Faqiang Wang, Jun Liu:
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising. SIAM J. Imaging Sci. 17(1): 441-475 (2024)- [j20]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): 1007-1039 (2024) - [i11]Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai:
Double-well Net for Image Segmentation. CoRR abs/2401.00456 (2024) - [i10]Xiang Chen, Faqiang Wang, Jun Liu, Li Cui:
An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport. CoRR abs/2402.16978 (2024) - 2023
- [i9]Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang:
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model. CoRR abs/2306.14097 (2023) - 2022
- [j19]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): 625-645 (2022) - [j18]Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie:
Image Segmentation with Adaptive Spatial Priors from Joint Registration. SIAM J. Imaging Sci. 15(3): 1314-1344 (2022) - [j17]Zhuoxiao Li, Faqiang Wang, Li Cui, Jun Liu:
Dual Mixture Model Based CNN for Image Denoising. IEEE Trans. Image Process. 31: 3618-3629 (2022) - [c3]Cuicui Zhao, Jun Liu, Xinqi Gong:
An adaptive variational model for multireference alignment with mixed noise. BIBM 2022: 692-699 - [i8]Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie:
Image Segmentation with Adaptive Spatial Priors from Joint Registration. CoRR abs/2203.15548 (2022) - 2021
- [j16]Cuicui Zhao, Jun Liu, Jie Zhang:
A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise. IEEE Access 9: 168869-168888 (2021) - 2020
- [j15]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: 102845 (2020) - [j14]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): 651-684 (2020) - [j13]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): 8384-8394 (2020) - [j12]Faqiang Wang, Haiyang Huang, Jun Liu:
Variational-Based Mixed Noise Removal With CNN Deep Learning Regularization. IEEE Trans. Image Process. 29: 1246-1258 (2020) - [j11]Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang:
Convexity Shape Prior for Level Set-Based Image Segmentation Method. IEEE Trans. Image Process. 29: 7141-7152 (2020) - [i7]Jun Liu, Xiangyue Wang, Xue-Cheng Tai:
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. CoRR abs/2002.03989 (2020) - [i6]Jun Liu, Xue-Cheng Tai, Shousheng Luo:
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. CoRR abs/2005.07476 (2020)
2010 – 2019
- 2019
- [j10]Jun Liu, Stanley J. Osher:
Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. J. Sci. Comput. 78(1): 607-624 (2019) - [i5]Fan Jia, Jun Liu, Xue-Cheng Tai:
A Regularized Convolutional Neural Network for Semantic Image Segmentation. CoRR abs/1907.05287 (2019) - [i4]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 abs/1909.09931 (2019) - 2018
- [i3]Faqiang Wang, Haiyang Huang, Jun Liu:
Variational based Mixed Noise Removal with CNN Deep Learning Regularization. CoRR abs/1805.08094 (2018) - [i2]Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang:
Convexity Shape Prior for Level Set based Image Segmentation Method. CoRR abs/1805.08676 (2018) - [i1]Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang:
Normalized Cut with Adaptive Similarity and Spatial Regularization. CoRR abs/1806.01977 (2018) - 2017
- [j9]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): 4427-4440 (2017) - 2014
- [j8]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): 1472-1488 (2014) - 2013
- [j7]Jun Liu, Shingyu Leung:
A Splitting Algorithm for Image Segmentation on Manifolds Represented by the Grid Based Particle Method. J. Sci. Comput. 56(2): 243-266 (2013) - [j6]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): 1108-1120 (2013) - [c2]Jun Liu, Xue-Cheng Tai, Shingyu Leung:
A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. EMMCVPR 2013: 251-265 - 2012
- [j5]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): 1234-1244 (2012) - 2011
- [j4]Jun Liu, Zhongdan Huan, Haiyang Huang:
Image restoration under mixed noise using globally convex segmentation. J. Vis. Commun. Image Represent. 22(3): 263-270 (2011) - [j3]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): 2093-2108 (2011) - [c1]Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan:
Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. SSVM 2011: 218-230 - 2010
- [j2]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): 131-149 (2010)
2000 – 2009
- 2009
- [j1]Jun Liu, Zhongdan Huan, Haiyang Huang, Haili Zhang:
An Adaptive Method for Recovering Image from Mixed Noisy Data. Int. J. Comput. Vis. 85(2): 182-191 (2009)
Coauthor Index
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last updated on 2024-06-19 21:01 CEST by the dblp team
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