刘君 - 北京师范大学 - 数学科学学院

个人简介

刘君，副教授，博士生导师。2011年博士毕业于北师大。主要研究方向为变分法、深度学习、强化学习相关的图像处理算法与应用。曾先后访问过新加坡南洋理工大学、香港科技大学、香港浸会大学、美国UCLA等高校。一些研究工作发表在图像处理、计算机视觉、计算数学等领域权威期刊如IJCV、IEEE TIP、SIIMS、IP、JSC等。研究成果曾获教育部高等学校优秀科研成果二等奖(团体），北京市科技进步二等奖(团体)。主持参与多项国家科研项目。主要经历 2014-至今, 副教授，北师大 2011-2014，讲师，北师大

研究领域

变分法图像处理模型与算法深度学习、强化学习相关算法的设计与理论分析及其在图像处理中的应用对抗生成网络的数学理论与相应算法设计与图像有关的应用

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Haifeng Li, Weihong Guo, Jun Liu, Li Cui, and Dongxing Xie. Image Segmentation with Adaptive Spatial Priors from Joint Registration. SIAM Journal on Imaging Sciences, (2022) 15(3):1314-1344. SIAM Zhuoxiao Li, Faqaing Wang, Li Cui, and Jun Liu.Dual Mixture Model based CNN for Image Denoising. IEEE Transactions on Image Processing, (2022) 31: 3618-3629.IEEE Jun Liu, Xiangyue Wang, Xue-Cheng Tai. Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. Journal of Mathematical Imaging and Vision, (2022) 64:625–645. Springer arXiv [Matlab code] [pytorch demo] Xiaojun Zheng, Zhongdan Huan and Jun Liu. On the solvability of a semilinear higher-order elliptic problem for the vector field method in image registration. Communications on Pure and Applied Analysis, (2022) 21(8): 2679-2700. AIMS Junying Meng, Faqiang Wang, Li Cui, and Jun Liu. The Lower Bound of Nonlocal Gradient for Non-convex and Non-smooth Image Patches based Regularization. Inverse Problems, (2022) 38(3): 035010. IOPSCIENCE download PDF Cuicui Zhao, Jun Liu, Jie Zhang. A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise. IEEE Access, (2021) 9: 168869-168888. IEEE download PDF [Supplementary Material] [Matlab code] Fan Jia, Jun Liu, and Xue-Cheng Tai. A Regularized Convolutional Neural Network for Semantic Image Segmentation. Analysis and Applications, (2021) 19(1): 147-165. WorldScientific arXiv download PDF [Caffe code] Wei Wan, Weihong Guo, Haiyang Huang, Jun Liu. Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, (2020) 58(12): 8384-8394. IEEE Wei Wan, Jun Liu. Nonlocal Patches based Gaussian Mixture Model for Image Inpainting. Applied Mathematical Modelling, (2020) 87: 317-331. ScienceDirect arXiv 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. Journal of Visual Communication and Image Representation, (2020) 71: 1-14.Elsevier arXiv [Matlab code] Fan Jia, Xue-Cheng Tai, Jun Liu. Nonlocal Regularized CNN for Image Segmentation. Inverse Problems & imaging, (2020) 14(5): 891-911. AIMS download PDF Shi Yan, Xue-Cheng Tai, Jun Liu, Hai-yang Huang. Convexity Shape Prior for Level Set based Image Segmentation Method. IEEE Transactions on Image Processing, (2020) 29: 7141-7152. IEEE arXiv Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang. A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization. SIAM Journal on Imaging Sciences, (2020) 13(2): 651-684. SIAM arXiv [Matlab code] Faqiang Wang, Haiyang Huang, Jun Liu.Variational based Mixed Noise Removal with CNN Deep Learning Regularization. IEEE Transactions on Image Processing. (2020) 29(1): 1246-1258. IEEE arXiv download PDF [Matlab code] Wei Wan, Weihong Guo, Jun Liu, Haiyang Huang. Non-local Blind Hyperspectral Image Super-resolution via 4D Sparse Tensor Factorization and Low-rank. Inverse Problems & Imaging. (2020) 14(2): 339-361. AIMS Shi Yan, Jun Liu, Haiyang Huang, Xue-Cheng Tai. A Dual EM Algorithm for TV Regularized Gaussian Mixture Model in Image Segmentation. Inverse Problems & Imaging. (2019) 13(3): 653-677. AIMS download PDF Jun Liu, Stanley Osher. Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. Journal of Scientific Computing. (2019) 78(1): 607-624. Springer download PDF [Matlab code] Wei Wan, Haiyang Huang, Jun Liu, Local Block Operators and TV Regularization based Image Inpainting. Inverse Problems and Imaging. (2018) 12(6): 1389-1410.AIMS download PDF Shi Yan, Zihao Yu, Jun Liu, Non-parametric Mixture Model with TV Spatial Regularisation and Its Dual Expectation Maximisation Algorithm. IET Image Processing. (2018) 12(9): 1655-1662. IET. download PDF 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 Transactions on Geoscience & Remote Sensing. (2017) 99:1-14. IEEE. Jun Liu, Xiaojun Zheng. A Block Nonlocal TV Method for Image Restoration. SIAM Journal on Imaging Sciences,(2017) 10(2):920-941. SIAM download PDF [Matlab code] Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang. A New Continuous Max-flow Algorithm for Multiphase Image Segmentation using Super-level Set Functions. Journal of Visual Communication and Image Representation. (2014) 25(6): 1472-1488. Elsevier download PDF [Matlab code] Jun Liu Xue-Cheng Tai, Shingyu Leung.A Generic Convexication and Graph Cut Method for Multiphase Image Segmentation. Energy Minimization Methods in Computer Vision and Pattern Recognition Lecture Notes in Computer Science. (2013) 8081:251-265. Springer download PDF [Matlab code] Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. IEEE Transactions on Image Processing. (2013) 22(3): 1108-1120. IEEE download PDF [Matlab code] Jun Liu, Shingyu Leung. A Splitting Algorithm for Image Segmentation on Manifolds Represented by Grid Based Particle Method. Journal of Scientific Computing, (2013) 56(2): 243-266. Springer download PDF Jun Liu, Haili Zhang. Image Segmentation Using a Local GMM in a Variational Framework. Journal of Mathematical Imaging and Vision, (2013) 46(2): 161-176. Springer download PDF [Matlab code] Jun Liu,Yin-Bon Ku, Shingyu Leung. Expectation-maximization Algorithm with Total Variation Regularization for Vector-valued Image Segmentation. Journal of Visual Communication and Image Representation, (2012) 23(8): 1234-1244. Elsevier download PDF [Matlab code] Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. Scale Space and Variational Methods in Computer Vision Lecture Notes in Computer Science,(2012) 6667:218-230. Springer download PDF [Matlab code] 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 Recognition . (2011) 44(9):2093-2108. Elsevier download PDF [Matlab code] Jun Liu, Zhongdan Huan, Haiyang Huang. Image Restoration under Mixed Noise Using Globally Convex Segmentation. Journal of Visual Communication and Image Representation. (2011) 22 (3) : 263-270. Elsevier download PDF Qinghua Liu, Huiliang Wang, Jun Liu, Haiyang Huang. AFM Image Processing for Estimating the Number and Volume of Nanoparticles on a Rough Surface. Surface and Interface Analysis. (2011) 43(10): 1354-1359. Wiley download PDF Jun Liu, Haiyang Huang, Zhongdan Huan, Haili Zhang. Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise. International Journal of Computer Vision. (2010) 90 (2): 131-149. Springer download PDF [Matlab code] Jun Liu, Zhongdan Huan, Haiyang Huang, and Haili Zhang. An Adaptive Method for Recovering Image from Mixed Noisy Data. International Journal of Computer Vision. (2009) 85 (2): 182-191. Springer download PDF [Matlab code]