基本信息
左旺孟，男，汉族，1977年生。哈尔滨工业大学计算机学院教师，主要从事计算机视觉、机器学习与生物特征识别等方面的研究。
我的新闻
新闻标题CFP: Neurocomputing Special Issue on Smart Computing for Large Scale Visual Data Sensing and Processing
发表时间2015-01-03
We organized a Neurocomputing Special Issue on Smart Computing for Large Scale Visual Data Sensing and Processing:
Papers can be submitted via the online submission system for Neurocomputing (http://ees.elsevier.com/
Submission Deadline: Jan. 31, 2015
First Round Decisions: Mar. 31, 2015
Revisions Deadline: Apr. 30, 2015
Final Round Decisions: Jun. 30, 2015
Expected Online Publication: Sep. 2015
http://www.journals.elsevier.
新闻标题Zhihua@#%s paper was accepted by Information Sciences
发表时间2014-09-05
Zhihua Chen, Wangmeng Zuo*, Qinghua Hu. Kernel Sparse Representation for Time Series Classification, Information Sciences, 2014 (Accept). (Extention of KSVD and LC-KSVD to kernelized versions and applications to time series classification)
新闻标题Shuhang@#%s paper was accepted by NIPS 2014
发表时间2014-09-17
Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014. (One of the most efficient method for both training and testing.)
新闻标题Faqiang@#%s Paper was accepted by IEEE T-NNLS
发表时间2014-09-30
Faqiang Wang, Wangmeng Zuo, Lei Zhang, Deyu Meng, and David Zhang, A Kernel Classification Framework for Metric Learning, IEEE Trans. Neural Networks and Learning Systems, 2014. (Kernel perspective and formulation can provide a number efficient algorithms on metric learning.)
新闻标题Zhaoxin@#%s paper was accepted by Image and Vision Computing
发表时间2014-11-16
Zhaoxin Li, Kuanquan Wang, Wenyan Jia, Hsin-Chen Chen, Wangmeng Zuo, Deyu Meng , Mingui Sun, Multiview Stereo and Silhouette Fusion via Minimizing Generalized Reprojection Error, Image and Vision Computing, 2014 (Our first paper on multiview stero. We proposed a two-phase optimization method for generalized reprojection error minimization. In terms of accuracy and completeness, our TwGREM achieves high rank on the Middlebury evaluation page for dino sparse and temple sparse.)
新闻标题Peng@#%s paper was accepted by IEEE JBHI
发表时间2014-11-17
Wangmeng Zuo, Peng Wang, David Zhang. Comparison of three different types of wrist pulse signals by their physical meanings and diagnosis performance, IEEE Journal of Biomedical and Health Informatics, 2014 (Accept). (A comprehensive analysis and comparative study on three major types of wrist pulse signals.)
新闻标题CFP: Pattern Recognition Special Issue on Compositional Models and Structured Learning for Visual Recognition
发表时间2015-01-17
Webpage
In the last ten years, computer vision and pattern recognition has experienced a resurgence of research on compositional and hierarchical models, such as And-Or graphs, deformable part-based models, kernelized and latent variable models. The virtue of compositional and hierarchical models (CHMs) lies in their expressive power to model diverse and complex visual patterns. Meanwhile, a set of structured learning and optimization methods are intensively discussed to facilitate training and inference with compositional models, which usually integrate latent structures to specify the task-specific compositional configurations and contextual relations. These methods, such as latent support vector machines, conditional random fields, and structural sparse coding, enable inference with rich internal structures and pursue a good mapping between observations and output structured predictions. Compared with the neural networks, which have also attracted much attention recently, CHMs and structured learning methods provide alternative approaches to explicitly handle the variations of data with latent variables, and demonstrate their potential in several high-level vision tasks, e.g., object detection and recognition, scene parsing, and action/activity understanding.
In order to pursue first-class research along this direction, we would like to organize a special issue titled "Compositional Model and Structured Learning for Visual Recognition" in the journal of Pattern Recognition.
The issue will be aimed at accepting papers on the following topics but not limited to:
Object recognition and detection by learning and inference with compositional and hierarchical models. The proposed approaches are encouraged to evaluate on several public benchmarks in computer vision such as PASCAL VOC, ImageNet, Caltech101, and Caltech256.Image segmentation and labeling with supervised or unsupervised learning methods, which incorporate multiple contextual object models. Some exemplar benchmarks are LabelMe, PASCAL VOC, Fashionista？, and SUN databases.Understanding human actions or activities from videos with spatio-temporal models. The new models will show good performance on capturing well large category variations that is one key challenge in complex action/activity modeling. By using depth sensors, more rich information can be utilized for these tasks.Models, algorithms, and applications of sparse representation and dictionary learning. The proposed approaches are expected to improve the efficiency and effectiveness of the classification performance, and provide new insight for modeling structure and dependencies between vocabularies.New applications and systems address real challenges in the intelligent processing and understanding of visual data (e.g. fashion understanding, medical image recognition, graphics, etc).？The main timelines for this issue are set as follows,
Paper submission due: July. 30, 2015First notification: Nov. 30, 2015Revision: Jan. 15, 2016Final decision: Feb. 30, 2016Submission Details:
All submissions for this special issue are required to follow the same format as regular full-length Pattern Recognition papers. The submission website for this special issue is located at: http://ees.elsevier.com/pr/. Please ensure to select 'SI : CHM-Vision' as the 'Article Type'.
Guest Editors:
Professor Liang Lin
Sun Yat-Sen University
linliang@ieee.org
Associate Professor Jason Corso
University of Michigan
jcorso@buffalo.edu
Associate Professor Wangmeng Zuo
Harbin Institute of Technology
wmzuo@hit.edu.cn
Chair Professor David Zhang
The Hong Kong Polytechnic University
csdzhang@comp.polyu.edu.hk
Dr Benjamin Yao
Amazon.com
benjamy@amazon.com
新闻标题Two papers were accepted by CVPR 2015.
发表时间2015-03-30
[1] Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang,Discriminative Learning of Iteration-wise Priors for Blind Deconvolution, CVPR 2015.
[2] Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Shuicheng Yan, SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation, CVPR 2015.
新闻标题维智、陈丽、长春、保全硕士顺利毕业
发表时间2015-07-13
恭喜陈丽获得校优秀硕士论文金奖。
新闻标题潘峰、予康、晓宇、李穆、守峰、勇飞、马良、金智顺利通过本科毕设答辩
发表时间2015-07-13
恭喜潘峰、予康、晓宇、李穆、守峰、勇飞、马良、金智8位同学通过本科毕设答辩。
恭喜潘峰同学获得2015届校百优本科毕业设计（论文）。
新闻标题Two papers were accepted by ICCV 2015
发表时间2015-09-10
272: Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
1383: Convolutional Sparse Coding for Image Super-resolution
Congratulations to Shuhang and Jun!
新闻标题Kai@#%s super-resolution paper was accepted by IEEE SPL
发表时间2015-11-23
Kai Zhang, Baoquan Wang, Wangmeng Zuo*, Hongzhi Zhang, Lei Zhang, Joint Learning of Multiple Regressors for Single Image Super-Resolution, IEEE Signal Processing Letters, 2015 (An efficient and effective approach for single image super-resolution by joint learning of partitions and regressors ).
Congratulation to Kai!
新闻标题Zhaoxin@#%s MVS paper was accepted by IEEE TIP
发表时间2015-12-03
Zhaoxin Li, Kuanquan Wang, Wangmeng Zuo, Deyu Meng, Lei Zhang. Detail-preserving and Content-aware Variational multi-view stereo reconstruction. IEEE Trans. Image Processing, 2016 (best results among all published methods on the Middlebury dino ring and dino sparse datasets).
荣誉称号
2008年 哈尔滨工业大学优秀博士学位论文
2009年 教育部全国百篇优秀博士学位论文提名奖
2012年 教育部新世纪优秀人才
工作经历
时间工作经历
2007.8 - 2010.10讲师
2010.10 -副教授
2013.4 -博导
2015.12教授
教育经历
1995年-1999年，哈尔滨工业大学 材料科学系，学士1999年-2001年，哈尔滨工业大学 材料学专业，硕士2001年-2007年，哈尔滨工业大学 计算机应用技术专业，博士
主要任职
《IET Biometrics》Associate Editor
VALSE在线理事会理事
中国计算机学会（CCF）高级会员
IEEE & IEEE CSSenior Member
研究领域：视觉感知与认知
底层视觉：
图像增强与复原图像生成图像风格迁移 深度图增强与修复 人脸编辑 图像盲复原、去雨与去雾 图像转换视觉解析：
图像相似度匹配与二元关系预测深度学习、弱监督学习、领域自适应 视觉跟踪、行为理解图像分类、物体检测视觉交互与机器人
三维重建、SLAM 机器人智能抓取 智能化操作与人机交互
团队成员
2021年拟招收博士生2名。
在读：
杜佳芝：博士生, 研究方向: 图像复原. (2018.9-)
刘 铭：博士生, 研究方向: 迁移学习. (2018.9-)
刘鹏举：博士生, 研究方向: 图像增强与复原. (2017.4-)
王 昊：博士生, 研究方向: 物体检测. (2017.4-)
颜肇义：博士生, 研究方向: 图像编辑. (2016。9-)
李晓明：博士生, 研究方向: 图像编辑. (2016.9-)
武小荷: 博士生, 研究方向: 目标跟踪. (2014.9-）
李 峰: 博士生, 研究方向: 目标跟踪. (2015.4-)
张玮奇：博士生, 研究方向: 三维重建. (2015.9-，2014年国家奖学金)
言宏亮：博士生. 研究方向: 迁移学习. (2015.9-)
张 凯: 博士生, 研究方向: 图像去噪、图像超分辨.(导师：张磊教授, 2014.9-，2017年国家奖学金)
2016级
丁予康：硕士生. (导师：左旺孟) (百度)
姚英杰：硕士生. (导师：张大鹏 教授) (腾讯互娱)
高鸣岐：硕士生. (导师：张宏志 副教授) (商汤科技)
冯爱迪：硕士生. (导师：张大鹏 教授) (今日头条)
于 彬：硕士生. (导师：张大鹏 教授) (阿里巴巴)
胥凤驰：硕士生. (导师：左旺孟) (中国船舶系统工程研究院)
叶玉婷：硕士生. (导师：左旺孟) (商汤科技)
2017级
果 实：硕士生. (导师：左旺孟)
刘 铭：硕士生. (导师：左旺孟)
田 成：硕士生. (导师：左旺孟)
刘雪纯：硕士生. (导师：张宏志 副教授)
芦瀚楠：硕士生. (导师：张大鹏 教授)
刘继业：硕士生. (导师：左旺孟)
2018级
董俊呈：硕士生
张文强：硕士生
吴晓川：硕士生
汪 磊：硕士生
夏 敏：硕士生
安元植:硕士生
毕业：
任冬伟: 博士生, 研究方向: 图像复原、凸优化方法.(导师：张大鹏教授, 2013.9-2017.10，2015年国家奖学金)（天津大学)
王法强: 博士生, 研究方向: 测度学习、深度学习.(导师：张大鹏教授, 2013.9-2018，2015年国家奖学金)（腾讯优图)
邓 红: 博士生, 研究方向: 图像复原及盲复原. (导师：张大鹏教授)（2016年12月答辩，东北农业大学)
崔振超: 博士生, 研究方向: 计算机舌象分析、图像分割、纹理分析. (导师：王宽全教授)（2015年12月答辩，河北大学)
李兆歆: 博士生, 研究方向: 三维重建.(导师：王宽全教授)（2015年12月答辩，中科院计算所)
王 鹏: 博士生, 研究方向: 脉象传感器设计. (导师：张大鹏教授，2013年国家奖学金）（2014年11月答辩，东北农业大学)
刘 磊: 博士生, 研究方向: 计算机脉象分析、多重核学习、信号复原. (导师：张大鹏教授，2012年国家奖学金)（2013年7月答辩，中科院声学所）
赵晓飞: 硕士生, 研究方向: 图像复原. (导师：张大鹏教授)（2012年7月毕业，杭州量子金融信息服务有限公司）
王 震: 硕士生, 研究方向: 舌图像分割. (导师：张大鹏教授)（2012年7月毕业，搜狗研究院）
胡宏波: 硕士生, 研究方向: 人脸姿态估计. (导师：左旺孟)（2012年7月毕业， 瑞芯微电子 ）
林新潜: 硕士生, 研究方向: 图像复原.(导师：张大鹏教授)（2013年7月毕业， 福建省农村信用社 ）
李 震: 硕士生, 研究方向: 中药饮片分类.(导师：张大鹏教授)（2013年7月毕业，黑龙江省烟草专卖局）
任冬伟: 硕士生, 研究方向: 图像复原、凸优化方法.(导师：张大鹏教授)（2013年7月毕业，哈尔滨工业大学博士）
王法强: 硕士生, 研究方向: 度量学习、深度学习.(导师：左旺孟)（2013年7月毕业，哈尔滨工业大学博士）
侯山鹏：硕士生, 研究方向: 非线性脉象信号分析. (导师：张大鹏教授)（2014年7月毕业，浪潮河南）
贾福青：硕士生, 研究方向: 图像去噪与复原. (导师：左旺孟)（2014年7月毕业，浙江巨化信息技术有限公司）
罗长春：硕士生, 研究方向: 半监督学习、人脸识别. (导师：张大鹏教授)（2015年7月毕业， 中海地产集团有限公司 ）
陈丽：硕士生, 研究方向: 图像纹理/结构分离. (导师：张大鹏 教授)（2015年7月毕业， 支付宝（中国）网络技术有限公司 ）
王维智：硕士生, 研究方向: 特征选择、深度学习. (导师：张大鹏 教授)（2015年7月毕业， 中国电子科技集团公司28所 ）
王保全：硕士生, 研究方向: 图像超分辨. (导师：张宏志 副教授)（2015年7月毕业，北京搜狐新媒体信息技术有限公司）
高 益：硕士生, (导师：黑科技 程俊廷 教授)（2015年7月毕业，华中科技大学博士生）
党芸琦：硕士生. (导师：左旺孟) （2016年7月毕业，航天三院）
刘鹏举：硕士生. (导师：张宏志 副教授)（2016年7月毕业，哈尔滨工业大学博士生）
朱园园：硕士生. (导师：张大鹏 教授)（2016年7月毕业，奇虎360）
潘 峰：硕士生. (导师：左旺孟)（2017年7月毕业，秒针科技）
王昊然：硕士生. (导师：左旺孟)（2017年7月毕业，商汤科技-深圳）
马 鑫：硕士生. (导师：张大鹏 教授)（2017年7月毕业，华为北京）
郑守峰：硕士生. (导师：张宏志 副教授)（2018年4月毕业，海康威视-杭州）
丁予康：硕士生. (导师：左旺孟) (2018年7月毕业，百度)
姚英杰：硕士生. (导师：张大鹏 教授) (2018年7月毕业，腾讯互娱)
高鸣岐：硕士生. (导师：张宏志 副教授) (2018年7月毕业，商汤科技)
冯爱迪：硕士生. (导师：张大鹏 教授) (2018年7月毕业，今日头条)
于 彬：硕士生. (导师：张大鹏 教授) (2018年7月毕业，阿里巴巴)
胥凤驰：硕士生. (导师：左旺孟) (2018年7月毕业，中国船舶系统工程研究院)
叶玉婷：硕士生. (导师：左旺孟) (2018年7月毕业，商汤科技)
讲授课程
模式识别（生物信息技术专业 本科）生物特征识别（计算机学院 硕士）深度学习（计算机学院 硕士）
招生信息
博士招生情况:
武小荷：博士生. (2014级)
张 凯：博士生. (2014级)
张玮奇：博士生. (2015级)
李 峰：博士生. (2015级)
言宏亮：博士生. (2015级)
李晓明：博士生. (2016级)
颜肇义：博士生. (2016级)
王 昊：博士生. (2017级)
刘鹏举：博士生. (2017级)
杜佳芝：博士生. (2018级)
刘 铭：博士生. (2018级)
李文瑜：博士生. (2019级)
王浩霖：博士生. (2019级)
李钰：博士生. (2019级)
硕士招生情况:
张玮奇：硕士生. (2014级)
刘鹏举：硕士生. (2014级)
言宏亮：硕士生. (2014级)
朱园园：硕士生. (2014级)
党芸琦：硕士生. (2014级)
潘 峰：硕士生. (2015级)
马 鑫：硕士生. (2015级)
郑守峰：硕士生. (2015级)
王昊然：硕士生. (2015级)
丁予康：硕士生. (2016级)
姚英杰：硕士生. (2016级)
高鸣岐：硕士生. (2016级)
冯爱迪：硕士生. (2016级)
于 彬：硕士生. (2016级)
胥凤驰：硕士生. (2016级)
叶玉婷：硕士生. (2016级)
果 实：硕士生. (2017级)
刘 铭：硕士生. (2017级)
田 成：硕士生. (2017级)
刘雪纯：硕士生. (2017级)
芦瀚楠：硕士生. (2017级)
刘继业：硕士生. (2017级)
董俊呈：硕士生. (2018级)
张文强：硕士生. (2018级)
吴晓川：硕士生. (2018级)
汪 磊：硕士生. (2018级)
夏 敏：硕士生. (2018级)
安元植: 硕士生. (2018级)
谢超豪：硕士生. (2019级)
朱洁茹：硕士生. (2019级)
侯丽亚：硕士生. (2019级)
童超宇：硕士生. (2019级)
乔鑫：硕士生. (2019级)
杨帆：硕士生. (2019级)
王智：硕士生. (2019级)
Publication
Books:
[2] D. Zhang, W. Zuo, P. Wang, Computational Pulse Signal Analysis, Springer, 2018.
[1] D. Zhang, W. Zuo, N. Li, Medical Biometrics: Computerized TCM Data Analysis, World Scientific, 2015.
Book Chapters:
[3] W. Zuo, K. Zhang, L. Zhang, Convolutional Neural Networks for Image Denoising and Restoration: Fundamentals, Open Challenges and New Trends, In: M. Bertalmío (eds.), Denoising of Photographic Images and Video, Springer, 2018.
[2] W. Zuo, H. Zhang, K. Wang, 2009, “Subspace Methods for Face Recognition: Singularity, Regularization, and Robustness”, in Book: State of the Art in Face Recognition, I-TECH Education and Publishing.
[1] D. Zhang, W. Zuo, F. Yue, 2009, “Large Scale Palmprint Identification: Algorithms and Evaluation”, in Book: Biometrics: Methods, Applications and Analyses, Nova Publisher.
Journal
[78] Dongwei Ren, Wangmeng Zuo*, David Zhang, Lei Zhang, Ming-Hsuan Yang, Simultaneous Fidelity and Regularization Learning for Image Restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (Project)
[77] Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen, AttGAN: Facial Attribute Editing by Only Changing What You Want, IEEE Trans. Image Processing, 2019 (Accept).
[76] Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang, Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation, IEEE Transactions on Neural Networks and Learning Systems, 2019.
[75] Guangbin Wu, Weishan Chen, Hui Cheng, Wangmeng Zuo, David Zhang, Jane You, Multi-Object Grasping Detection With Hierarchical Feature Fusion, IEEE Access, vol. 7, pp. 43884 - 43894, 2019.
[74] Yang Zhao, Ronggang Wang, Wei Jia, Wangmeng Zuo, Xiaoping Liu, and Wen Gao, Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion, IEEE Trans. Image Processing, 2019 (Accept).
[73] Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang, Visual tracking via dynamic graph learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (Accept).
[72] Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock, Face Frontalization Using an Appearance-Flow-based Convolutional Neural Network, IEEE Trans. Image Processing, 28(5): 2187-2199, 2019.
[71] Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo, Weighted Graph Embedding based Metric Learning for Kinship Verification, IEEE Trans. Image Processing, 28(3): 1149-1162, 2019.
[70] Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, and Ming-Hsuan Yang, Learning Support Correlation Filtersfor Visual Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 41(5): 1158 - 1172, 2019 (Code).
[69] Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo. Hierarchical Scene Parsing by Weakly-supervised Learning with Image Descriptions, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (Accept).
[68] Hai Min, Wei Jia, Yang Zhao, Wangmeng Zuo, Haibin Ling, Yuetong Luo, LATE: A Level Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images, IEEE Trans. Image Processing, 27(10): 5016 - 5031, 2018.
[67] Kai Zhang, Wangmeng Zuo*, Lei Zhang, FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising, IEEE Trans. Image Processing, 27(9): 4608-4622, 2018 (Code).
[66] Xiaohe Wu, Wangmeng Zuo*, Liang Lin, Wei Jia, David Zhang, F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation, IEEE Transactions on Neural Networks and Learning Systems, 29(11): 5185-5199, 2018 (Code).
[65] Gongning Luo, Suyu Dong, Kuanquan Wang, Wangmeng Zuo, Shaodong Cao, Henggui Zhang. Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images, IEEE Trans. Biomedical Engineering, 65(9): 1924 - 1934, 2018.
[64] Hongwei Yong, Deyu Meng, Wangmeng Zuo, Lei Zhang, Robust Online Matrix Factorization for Dynamic Background Subtraction, IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 40(7): 1726 - 1740, 2018.
[63] Xiaoke Zhu, Xiao-Yuan Jing, Xinge You, Wangmeng Zuo, Shiguang Shan, Wei-Shi Zheng, Image to Video Person Re-identification by Learning Heterogeneous Dictionary Pair with Feature Projection Matrix, IEEE Trans. Information Forensics and Security, 13(3): 717-732, 2018.
[62] Kede Ma, Wentao Liu, Kai Zhang, Zhengfang Duanmu, Zhou Wang, Wangmeng Zuo. End-to-End Blind Image Quality Assessment Using Deep Neural Networks, IEEE Trans. Image Processing, 27(3): 1202-1213, 2018.
[61] Dongwei Ren, Wangmeng Zuo*, David Zhang, Jun Xu, and Lei Zhang, Partial Deconvolution with Inaccurate Blur Kernel, IEEE Trans. Image Processing, 27(1): 511-524, 2018.
[60] Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang, Active Self-Paced Learning for Cost-Effective and Progressive Face Identification, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 40(1): 7-19, 2018.
[59] Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang. Distance Metric Learning via Iterated Support Vector Machines, IEEE Trans. Image Processing, 26(10): 4937 - 4950, 2017.
[58] Wei Jia, Bob Zhang, Jingting Lu, Yihai Zhu, Yang Zhao, Wangmeng Zuo, Haibin Ling, Palmprint Recognition Based on Complete Direction Representation, IEEE Trans. Image Processing, 26(9): 4483 - 4498, 2017.
[57] Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo*. Joint Distance and Similarity Measure Learning based on Triplet-based Constraints, Information Sciences, (406–407): 119-132, 2017.
[56] Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo, Subspace Clustering guided Unsupervised Feature Selection, Pattern Recognition, 66: 364-374, 2017.
[54] Kai Zhang, Wangmeng Zuo*, Yunjin Chen, Deyu Meng, and Lei Zhang, Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising, IEEE Trans. Image Processing, 26(7): 3142 - 3155, 2017 (Code) (Have been officially included in Matlab R2017b).
[53] Lei Zhang, Wangmeng Zuo, Image Restoration: From Sparse and Low-rank Priors to Deep Priors, IEEE Signal Processing Magazine, 34(5): 172 - 179, Sept. 2017.
[52] Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang, Cross-Domain Visual Data Matching via Generalized Similarity Measure and Feature Learning, IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 39(6): 1089 - 1102, 2017.
[51] Shuhang Gu, Qi Xie, Deyu Meng, Wangmeng Zuo, Xiangchu Feng, Lei Zhang, Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision. International Journal of Computer Vision, 121(2): 183–208, 2017.
[50] Yuan Xie, Shuhang Gu, Yan Liu, Wangmeng Zuo, Wensheng Zhang, Lei Zhang. Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction. IEEE Trans. Image Processing, 25(10): 4842 - 4857, 2016.
[49] Wenqi Ren, Xiaochun Cao, Jinshan Pan, Xiaojie Guo, Wangmeng Zuo, Ming-Hsuan Yang, Image Deblurring via Enhanced Low Rank Prior, IEEE Trans. Image Processing, 25(7): 3426 - 3437, 2016.
[48] Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo. Towards Effective Codebookless Model for Image Classification, Pattern Recognition, 59: 63 - 71, 2016.
[47] Chenglong Li, Liang Lin, Wangmeng Zuo, Wenzhong Wang, Jin Tang, An Approach to Streaming Video Segmentation with Sub-optimal Low-rank Decomposition, IEEE Trans. Image Processing, 25(5): 1947 - 1960, 2016.
[46] Wangmeng Zuo, Dongwei Ren, David Zhang, Shuhang Gu, Lei Zhang. Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution, IEEE Trans. Image Processing, 25(4): 1751 - 1764, 2016 (Code).
[45] Chunwei Song, Feng Li, Yunqi Dang, Huijun Gao, Zifei Yan, Wangmeng Zuo*, Structured Detail Enhancement for Cross-modality Face Synthesis, Neurocomputing, 212: 107-120, 2016.
[44] Hong Deng, Dongwei Ren, David Zhang, Wangmeng Zuo*, Hongzhi Zhang, Kuanquan Wang. Efficient Non-uniform Deblurring Based on Generalized Additive Convolution Model. EURASIP Journal on Advances in Signal Processing, 2016:22, pp. 1-15, 2016.
[43] Lei Zhang, Wangmeng Zuo, David Zhang, LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation, IEEE Trans. Image Processing, 25(3): 1177 - 1191, 2016.
[42] Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang, A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition, International Journal of Computer Vision, 118(2): 256–273, 2016.
[41] Zhaoxin Li, Kuanquan Wang, Wangmeng Zuo, Deyu Meng, Lei Zhang. Detail-preserving and Content-aware Variational multi-view stereo reconstruction. IEEE Trans. Image Processing, 25(2): 864 – 877, 2016..
[40] Kai Zhang, Baoquan Wang, Wangmeng Zuo*, Hongzhi Zhang, Lei Zhang, Joint Learning of Multiple Regressors for Single Image Super-Resolution, IEEE Signal Processing Letters, 23(1): 102-106, Jan. 2016.
[39] Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo. Detection-free multi-object tracking by Reconfigurable Inference with Bundle Representations. IEEE Trans. Cybernetics, 46(11): 2447 - 2458, 2016.
[38] Wangmeng Zuo, Peng Wang, David Zhang. Comparison of three different types of wrist pulse signals by their physical meanings and diagnosis performance, IEEE Journal of Biomedical and Health Informatics, 20(1): 119 – 127, 2016.
[37] Zhenchao Cui, Dongyu Zhang, Hongzhi Zhang, Kuanquan Wang, Wangmeng Zuo*. Weighted Nuclear Norm Minimization Based Tongue Specular Reflection Removal. Mathematical Problems in Engineering, Article ID 979415, August 2015.
[36] Xiaochun Cao, Wenqi Ren, Wangmeng Zuo, Xiaojie Guo, Hassan Foroosh, Scene text deblurring using text-specific multi-scale dictionaries, IEEE Trans. Image Processing, 24(4): 1302 - 1314, Feb. 2015.
[35] Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Yan Yan. L1-norm low rank matrix factorization by variational Bayes. IEEE Trans. Neural Networks and Learning Systems, 26(4): 825 - 839, Apr. 2015..
[34] Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, and Lei Zhang. Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification, IEEE Trans. Image Processing, 24(12): 4766 - 4779, 2015.
[33] Zhaoxin Li, Kuanquan Wang, Wenyan Jia, Hsin-Chen Chen, Wangmeng Zuo, Deyu Meng, Mingui Sun, Multiview Stereo and Silhouette Fusion via Minimizing Generalized Reprojection Error, Image and Vision Computing, 33, 1–14, January 2015.
[32] Faqiang Wang, Wangmeng Zuo*, Lei Zhang, Deyu Meng, and David Zhang, A Kernel Classification Framework for Metric Learning, IEEE Trans. Neural Networks and Learning Systems, 26(9): 1950 - 1962, 2015.
[31] Zhihua Chen, Wangmeng Zuo*, Qinghua Hu, Liang Lin. Kernel Sparse Representation for Time Series Classification, Information Sciences, 292, 15–26, January 2015.
[30] Dongwei Ren, Hongzhi Zhang, David Zhang, Wangmeng Zuo*. Fast Total-Variation based Image Restoration Based on Derivative Augmented Lagrangian Method, Neurocomputing, vol. 170, pp. 201–212, 2015 (Code).
[29] Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu, Simon Chiu. Unsupervised Feature Selection by Regularized Self-representation. Pattern Recognition, 48(2): 438–446, February 2015.
[28] Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Simon Chiu, David Zhang. Image Set based Collaborative Representation for Face Recognition, IEEE Transactions on Information Forensics and Security, 9(7): 1120 - 1132, 2014.
[27] Wangmeng Zuo, Lei Zhang, Chunwei Song, David Zhang and Huijun Gao, Gradient Histogram Estimation and Preservation for Texture Enhanced Image Denoising, IEEE Trans. Image Processing, 23(6): 2459 - 2472, 2014.
[26] Zizhu Fan , Yong Xu , Wangmeng Zuo , Jian Yang , Jinhui Tang , Zhihui Lai , David Zhang, Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models, IEEE Transactions on Neural Networks and Learning Systems, 25(8): 1538-1552, 2014.
[25] Peng Wang, Wangmeng Zuo, David Zhang, "A Novel Compound Wrist Pulse Signal Acquisition System Based on Pressure Sensor," IEEE Trans. Instrumentation and Measurement, 63(6): 1556 - 1565, 2014.
[24] Hong Deng, Wangmeng Zuo*, Hongzhi Zhang, David Zhang. An Additive Convolution Model for Fast Restoration of Nonuniform Blurred Images. International Journal of Computer Mathematics, 91(11): 2446-2466, 2014.
[23] Feng Yue, Wangmeng Zuo. Consistency Analysis on Orientation Features for Fast and Accurate Palmprint Identification, Information Sciences, vol. 268, pp. 78–90, 1 June 2014.
[22] Zhenchao Cui, Hongzhi Zhang, David Zhang, Naimin Li, and Wangmeng Zuo*, Fast Marching over the 2D Gabor Magnitude Domain for Tongue Body Segmentation, EURASIP Journal on Advances in Signal Processing, vol. 2013, 190: 1-13, 2013.
[21] Dongwei Ren, Wangmeng Zuo*, Xiaofei Zhao, Zhouchen Lin, David Zhang, Fast Gradient Vector Flow Computation Based on Augmented Lagrangian Method, Pattern Recognition Letters, 34(2): 219-225, 2013.
[20] Lin Ma, David Zhang, Naimin Li, Yan Cai, Wangmeng Zuo and Kuanquan Wang, “Iris-based Medical Analysis by Geometric Deformation Features,” IEEE Journal of Biomedical and Health Informatics, 17(1): 223 – 231, Jan. 2013.
[19] Lei Liu, Wangmeng Zuo, David Zhang, Hongzhi Zhang, Naimin Li. Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning, IEEE Transactions on Information Technology in BioMedicine, vol. 16, no. 4, pp. 599 - 607, 2012.
[18] Yong Xu, Wangmeng Zuo, Zizhu Fan. Supervised sparse representation of face images based on a heuristic strategy. Neurocomputing. 79(1): 125-131, 2012.
[17] David Zhang, Wangmeng Zuo, Feng Yue. A Comparative Study of Palmprint Recognition Algorithms. ACM Computing Surveys. vol. 44, no. 1, Article 2, pp. 1-37, 2012.
[16] Wangmeng Zuo*, Zhouchen Lin. A Generalized Accelerated Proximal Gradient Approach for Total Variation-Based Image Restoration. IEEE Transactions on Image Processing, vol. 20, no. 10, pp. 2748 - 2759, 2011.
[15] Feng Yue, Wangmeng Zuo, David Zhang, and Bin Li. Fast palmprint identification with multiple templates per subject. Pattern Recognition Letters, vol. 32, no. 8, pp. 1108-1118, 2011.
[14] Wangmeng Zuo, Feng Yue, and David Zhang. On accurate orientation extraction and appropriate distance measure for palmprint recognition. Pattern Recognition, 43(4): 964-972, 2011.
[13] Dongyu Zhang, Wangmeng Zuo*, David Zhang, Hongzhi Zhang and Naimin Li. “Classification of Pulse Waveforms Using Edit Distance with Real Penalty.” EURASIP Journal on Advances in Signal Processing, 303140: 1-9, 2010.
[12] Wangmeng Zuo*, Hongzhi Zhang, David Zhang, and Kuanquan Wang, "Post-Processed LDA for Face and Palmprint Recognition: What is the Rationale," Signal Processing, 90(8): 2344-2352, 2010.
[11] David Zhang, Zhenhua Guo, Guangming Lu, Lei Zhang and Wangmeng Zuo, “An online system of multi-spectral palmprint verification,” IEEE Trans. Instrumentation and Measurement, 59(2): 480-490, 2010.
[10] Zhenhua Guo, Wangmeng Zuo, Lei, Zhang, David Zhang, "A Unified Distance Measurement for Orientation Coding in Palmprint Verification," Neurocomputing, 73 (4-6): 944-950, 2010.
[9] Feng Yue, Wangmeng Zuo, David Zhang and Kuanquan Wang, “Competitive Code-based Palmprint Recognition using FCM-based Orientation Selection,” Pattern Recognition, 42(11): 2841-2849, 2009.
[8] Feng Yue, Wangmeng Zuo, David Zhang, and Kuanquan Wang, "Competitive Code Based Fast Palmprint Identification Using a Set of Cover Trees," Optical Engineering, 48(6), pp. 067204-067204-7, 2009.
[7] Wangmeng Zuo*, David Zhang, and Kuanquan Wang. On kernel difference-weighted k-nearest neighbor classification. Pattern Analysis and Applications. 2008, 11: 247-257.
[6] Wangmeng Zuo*, Kuanquan Wang, David Zhang, Hongzhi Zhang. Combination of two novel LDA-based methods for face recognition. Neurocomputing. 2007, 70(4-6): 735-742.
[5] David Zhang, Wangmeng Zuo. Computational intelligence-based biometric technologies. IEEE Computational Intelligence Magazine. 2(2): 26-36, May 2007.
[4] Hongzhi Zhang, Wangmeng Zuo, Kuanquan Wang, David Zhang. A snake-based approach to automated segmentation of tongue image using polar edge detector. International Journal of Imaging Systems and Technology. 2006, 16(4): 103-112.
[3] Wangmeng Zuo, David Zhang, Kuanquan Wang. Bi-Directional PCA with assembled matrix distance metric for image recognition. IEEE Trans. Systems, Man, and Cybernetics, Part B. 2006, 36(4): 863-872.
[2] Wangmeng Zuo, David Zhang, Jian Yang, Kuanquan Wang. BDPCA plus LDA: a novel fast feature extraction technique for face recognition. IEEE Trans. Systems, Man, and Cybernetics, Part B. 2006, 36(4): 946-953.
[1] Wangmeng Zuo, David Zhang, Kuanquan Wang. An Assembled Matrix Distance Metric for 2DPCA-based Image Recognition. Pattern Recognition Letters. 2006, 27(3): 210-216.
Conference
[76] Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo*, Shilei Wen, STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing, CVPR 2019 (Code).
[75] Shangchen Zhou Jiawei Zhang, Wangmeng Zuo*, Haozhe Xie, Jinshan Pan, Jimmy Ren, DAVANet: Stereo Deblurring with View Aggregation, CVPR 2019 (Dataset and Code).
[74] Jinjin Gu, Hannan Lu, Wangmeng Zuo, and Chao Dong, Blind Super-Resolution With Iterative Kernel Correction, CVPR 2019.
[73] Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang, Toward Convolutional Blind Denoising of Real Photographs, CVPR 2019 (Code).
[72] Kai Zhang, Wangmeng Zuo*, Lei Zhang, Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels, CVPR 2019 (Code).
[71] Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu, Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net, CVPR 2019.
[70] Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo, Deep Global Generalized Gaussian Networks, CVPR 2019.
[69] Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, and Deyu Meng, Progressive Image Deraining Networks: A Better and Simpler Baseline, CVPR 2019 (Code).
[68] Haoran Zhang, Zhenzhen Hu, Changzhi Luo, Wangmeng Zuo, Meng Wang, Semantic Image Inpainting with Progressive Generative Networks, ACM MM 2018 (Oral).
[67] Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wangmeng Zuo, Wei Liu, Ming-Hsuan Yang, Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation, NIPS 2018.
[66] Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li, Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks, NIPS 2018.
[65] Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng, PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities, ECCV 2018.
[64] Sijia Cai, Wangmeng Zuo, Larry Davis, Lei Zhang, Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior, ECCV 2018.
[63] Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo*, Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking, ECCV 2018. (Code)
[62] Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo*, Liang Lin, Ruigang Yang, Learning Warped Guidance for Blind Face Restoration, ECCV 2018. (Code)
[61] Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo*, Shiguang Shan, Shift-Net: Image Inpainting via Deep Feature Rearrangement, ECCV 2018. (Code) (PyTorch)
[60] Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo, Multi-level Wavelet-CNN for Image Restoration, CVPR Workshop on NTIRE 2018. (Code)
[59] Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W.H. Lau, and Ming-Hsuan Yang, VITAL: VIsual Tracking via Adversarial Learning, CVPR 2018.
[58] Yunhang Shen, Rongrong Ji, Shengchuan Zhang, Wangmeng Zuo, Yan Wang, Generative Adversarial Learning Towards Fast Weakly Supervised Detection, CVPR 2018.
[57] Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin, Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift, CVPR 2018.
[56] Kai Zhang, Wangmeng Zuo*, Lei Zhang. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations, CVPR 2018. (Code)
[55] Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang. Learning Convolutional Networks for Content-weighted Image Compression, CVPR 2018. (Code)
[54] Feng Li, Cheng Tian, Wangmeng Zuo*, Lei Zhang, and Ming-Hsuan Yang, Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking, CVPR 2018. (Code)
[53] Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo*, Multi-scale Location-aware Kernel Representation for Object Detection, CVPR 2018. (Code)
[52] Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang, Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks, AAAI 2018.
[51] Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo*, Ming-Hsuan Yang, Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation, ICCV Workshop on VOT 2017. (Code)
[50] Shuhang Gu, Deyu Meng, Wangmeng Zuo, Lei Zhang, Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation, ICCV 2017.
[49] Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo, Is Second-order Information Helpful for Large-scale Visual Recognition? ICCV 2017.
[48] Sijia Cai, Wangmeng Zuo, Lei Zhang, Higher-order Integration of Hierarchical Convolutional Activations for Fine-grained Visual Categorization, ICCV 2017.
[47] Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Ruiping Wang, Xiaoke Zhu, Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set based Classification, IJCAI 2017.
[46] Kai Zhang, Wangmeng Zuo*, Shuhang Gu, Lei Zhang. Learning Deep CNN Denoiser Prior for Image Restoration, CVPR 2017 (Code).
[45] Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo*. Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation, CVPR 2017 (Code).
[44] Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang. Learning Dynamic Guidance for Depth Image Enhancement, CVPR 2017.
[43] Chenglong Li, Liang Lin, Wangmeng Zuo and Jin Tang. Learning Patch-based Dynamic Graph for Visual Tracking, AAAI 2017.
[42] Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo and Jing-YuYang. Multiset Feature Learning for Highly Imbalanced Data Classification, AAAI 2017.
[41] Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo and Wei-Shi Zheng. Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image, AAAI 2017.
[40] Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu. A Discriminative Self-representation Induced Classifier, IJCAI 2016.
[39] Faqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, Lei Zhang. Joint Learning of Single-image and Cross-image Representations for Person Re-identification, CVPR 2016. (Github: Code)
[38] Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang. RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition, CVPR 2016.
[37] Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang. Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection, CVPR 2016.
[36] Liang Lin, Rui Zhang, Guangrun Wang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo. Deep Structured Scene Parsing by Learning with Image Descriptions, CVPR 2016.
[35] Shoou-I Yu, Deyu Meng, Wangmeng Zuo, Alexander Hauptmann. The Solution Path Algorithm for Identity-Aware Multi-Object Tracking, CVPR 2016.
[34] Sijia Cai, Lei Zhang, Wangmeng Zuo, Xiangchu Feng. A Probabilistic Collaborative Representation based Approach for Pattern Classification, CVPR 2016.
[33] Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang. Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization, CVPR 2016.
[32] Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo. Coupled Dictionary Learning for Unsupervised Feature Selection, AAAI 2016.
[31] Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng, Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising, ICCV 2015.
[30] Shuhang Gu, Wangmeng Zuo, Lei Zhang, Xiangchu Feng, Deyu Meng, Qi Xie, Convolutional Sparse Coding for Image Super-resolution, ICCV 2015.
[29] Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang, Discriminative Learning of Iteration-wise Priors for Blind Deconvolution, CVPR 2015 (Code).
[28] Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Shuicheng Yan, SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation, CVPR 2015.
[27] Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang, and Wangmeng Zuo, "Deep Joint Task Learning for Generic Object Extraction", In NIPS 2014.
[26] Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014.
[25] Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, and Wangmeng Zuo, "3D Activity Recognition with Reconfigurable Convolutional Neural Networks", ACM MM 2014 (long paper, oral presentation).
[24] Qilong Wang, Wangmeng Zuo, Lei Zhang, and Peihua Li, Shrinkage Expansion Adaptive Metric Learning, ECCV 2014.
[23] Sijia Cai, Wangmeng Zuo, Lei Zhang, Xiangchu Feng, and Ping Wang, Support Vector Guided Dictionary Learning, ECCV 2014.
[22] Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, and Lei Zhang, Robust Principal Component Analysis with Complex Noise, The 31st International Conference on Machine Learning, ICML 2014.
[21] Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng. Weighted Nuclear Norm Minimization with Application to Image Denoising, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
[20] Peihua Li, Qilong Wang, Wangmeng Zuo, and Lei Zhang, "Log-Euclidean Kernels for Sparse Representation and Dictionary Learning", ICCV 2013.
[19] Pengfei Zhu, Lei Zhang, Wangmeng Zuo, "From Point to Set: Extend the Learning of Distance Metrics", ICCV 2013.
[18] Wangmeng Zuo, Deyu Meng, Lei Zhang, Xiangchu Feng, and David Zhang, "A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding", ICCV 2013.
[17] Wangmeng Zuo, Lei Zhang, Chunwei Song, David Zhang, Texture Enhanced Image Denoising via Gradient Histogram Preservation, CVPR 2013.
[16] Jianfeng Li, Wangmeng Zuo, Xiaofei Zhao, David Zhang. An augmented lagrangian method for fast gradient vector flow computation, International Conference on Image Processing 2011 (ICIP 2011).
[15] Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang. Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric Kernel. International Conference on Pattern Recognition 2010. (ICPR 2010), pp. 29-32.
[14] Dongyu Zhang, Wangmeng Zuo, David Zhang, Naimin Li, Yanlai Li. Gaussian ERP Kernel Classifier for Pulse Waveforms Classification. International Conference on Pattern Recognition 2010. (ICPR 2010), pp. 2736-2739.
[13] Feng Yue, Wangmeng Zuo, David Zhang. ICP Registration Using Principal Line and Orientation Feature for Palmprint Alignment. International Conference on Image Processing 2010. (ICIP 2010).
[12] Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, David Zhang. The Multiscale Competitive Code via Sparse Representation for Palmprint Verification. International Conference on Computer Vision and Pattern Recognition 2010. (CVPR 2010), pp. 1-8.
[11] Zhenhua Guo, Wangmeng Zuo, Lei Zhang, David Zhang. Palmprint verification using consistent orientation coding. International Conference on Image Processing 2009, pp. 1985-1988. (ICIP 2009).
[10] Fei Yang, Wangmeng Zuo, Kuanquan Wang, Henggui Zhang. Visualization of Segmented Cardiac Anatomy with Accelerated Rendering Method. Computer in Cardiology 2009 (CinC 2009).
[9] Fei Yang, Wangmeng Zuo, and Kuanquan Wang. 3D Cardiac MRI Data Visualization Based on Volume Data Preprocessing and Transfer Function Design. The 2008 Conference on Computers in Cardiology (CinC 2008).
[8] Wangmeng Zuo, Kuanquan Wang, and Weigang Lu. Diagnosis of Cardiac Arrhythmia Using Kernel Difference Weighted KNN Classifier. The 2008 Conference on Computers in Cardiology (CinC 2008).
[7] Feng Yue, Wangmeng Zuo, and Kuanquan Wang, “FCM-based Orientation Selection for Competitive Coding-based Palmprint Recognition,” International Conference on Pattern Recognition 2008 (ICPR 2008).
[6] Wangmeng Zuo, Feng Yue, and Kuanquan Wang, “Multiscale Competitive Code for Efficient Palmprint Recognition,” International Conference on Pattern Recognition 2008 (ICPR 2008).
[5] Feng Yue, Wangmeng Zuo, and Kuanquan Wang, “A Performance Evaluation of Filter Design and Coding Schemes for Palmprint Recognition,” International Conference on Pattern Recognition 2008 (ICPR 2008).
[4] Wangmeng Zuo, Kuanquan Wang, David Zhang. Improvement on Null Space LDA for Face Recognition: A Symmetry Consideration. In: Zhang, D., Jain, A. (eds.), International Conference on Biometrics (ICB’06). 2006, LNCS3832: 78-84.
[3] Kuanquan Wang, Wangmeng Zuo, David Zhang. Post-processing on LDA’s discriminant vectors for facial feature extraction. In: Kanade, T., Jain, A., and Ratha, N.K. (eds.), Audio- and Video-based Biometrics Person Authentication (AVBPA’05). 2005, LNCS3546: 346-354.
[2] Wangmeng Zuo, David Zhang, Kuanquan Wang. Bi-Directional PCA with assembled matrix distance metric. Proc. IEEE Int’l Conf. Image Processing (ICIP’05). 2005, 2: 958-961.
[1] Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yang. Regularization of LDA for face recognition: a post-processing method. In: Zhao, W., Gong, S., and Tang, X. (eds.), IEEE Int’l Workshop on Analysis and Modeling of Faces and Gestures 2005 (ICCV’05 Workshop). 2005, LNCS3723: 377-391.
Preprints and Reports
[33] Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang, Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How, https://arxiv.org/abs/1905.06648 (Code).
[32] Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy Ren, Spatio-Temporal Filter Adaptive Network for Video Deblurring, https://arxiv.org/abs/1904.12257 .
[31] Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen, STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing, https://arxiv.org/abs/1904.09709 (Code).
[30] Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen, Deep Likelihood Network for Image Restoration with Multiple Degradations, https://arxiv.org/abs/1904.09105.
[29] Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li, Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization, https://arxiv.org/abs/1904.06836 (Code).
[28] Shangchen Zhou Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren, DAVANet: Stereo Deblurring with View Aggregation, https://arxiv.org/abs/1904.05065 (Dataset and Code).
[27] Jinjin Gu, Hannan Lu, Wangmeng Zuo, and Chao Dong, Blind Super-Resolution With Iterative Kernel Correction, https://arxiv.org/abs/1904.03377.
[26] Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang, Learning Content-Weighted Deep Image Compression, https://arxiv.org/abs/1904.00664 (Test: Code)
[25] Kai Zhang, Wangmeng Zuo*, Lei Zhang, Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels, https://arxiv.org/abs/1903.12529 (Code).
[24] Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng, Progressive Image Deraining Networks: A Better and Simpler Baseline, https://arxiv.org/abs/1901.09221 (Code).
[23] Xiaoming Li, Ming Liu, Jieru Zhu, Wangmeng Zuo, Meng Wang, Guosheng Hu, Lei Zhang, Learning Symmetry Consistent Deep CNNs for Face Completion, https://arxiv.org/abs/1812.07741 (Code)
[22] Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo*, Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking, https://arxiv.org/abs/1807.11071. (Code)
[21] Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang, Toward Convolutional Blind Denoising of Real Photographs, https://arxiv.org/abs/1807.04686 (Code).
[20] Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo, Multi-level Wavelet-CNN for Image Restoration, https://arxiv.org/abs/1805.07071 (Code).
[19] Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo*, Liang Lin, Ruigang Yang, Learning Warped Guidance for Blind Face Restoration, https://arxiv.org/abs/1804.04829 (Code)
[18] Dongwei Ren, Wangmeng Zuo, David Zhang, Lei Zhang, Ming-Hsuan Yang, Simultaneous Fidelity and Regularization Learning for Image Restoration, https://arxiv.org/abs/1804.04522. (Project)
[17] Feng Li, Cheng Tian, Wangmeng Zuo*, Lei Zhang, and Ming-Hsuan Yang, Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking, https://arxiv.org/abs/1803.08679 (Code).
[16] Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo*, Multi-scale Location-aware Kernel Representation for Object Detection, https://arxiv.org/abs/1804.00428 (Code).
[15] Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo*, Shiguang Shan, Shift-Net: Image Inpainting via Deep Feature Rearrangement, https://arxiv.org/abs/1801.09392 (Code) ( (PyTorch)).
[14] Mu Li, Shuhang Gu, David Zhang, Wangmeng Zuo*, Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression, https://arxiv.org/abs/1801.04662. (Code)
[13] Kai Zhang, Wangmeng Zuo*, Lei Zhang. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations, https://arxiv.org/abs/1712.06116 (Code).
[12] Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen, Arbitrary Facial Attribute Editing: Only Change What You Want, https://arxiv.org/abs/1711.10678 (Code).
[11] Kai Zhang, Wangmeng Zuo*, Lei Zhang. FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising, https://arxiv.org/abs/1710.04026 (Code).
[10] Mu Li, Wangmeng Zuo*, Shuhang Gu, Debin Zhao, David Zhang. Learning Convolutional Networks for Content-weighted Image Compression, https://arxiv.org/abs/1703.10553 (Code).
[9] Mu Li, Wangmeng Zuo*, David Zhang. Deep Identity-aware Transfer of Facial Attributes, https://arxiv.org/abs/1610.05586.
[8] Mu Li, Wangmeng Zuo*, David Zhang. Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation, https://arxiv.org/abs/1608.06434.
[7] Kai Zhang, Wangmeng Zuo*, Yunjin Chen, Deyu Meng, and Lei Zhang. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. https://arxiv.org/abs/1608.03981.
[6] Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang, Learning Support Correlation Filters for Visual Tracking, http://arxiv.org/abs/1601.06032v1 (Code).
[5] Zhaoxin Li, Kuanquan Wang, Wangmeng Zuo, Deyu Meng, Lei Zhang. Detail-preserving and Content-aware Variational Multi-view Stereo Reconstruction, arXiv:1505.00389, http://arxiv.org/abs/1505.00389.
[4] Xiaohe Wu, Wangmeng Zuo*, Yuanyuan Zhu, Liang Lin, F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation, http://arxiv.org/abs/1504.05035
[3] Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, and Lei Zhang, Iterated support vector machines for distance metric learning, http://arxiv.org/abs/1502.00363.
[2] Qi Xie, Deyu Meng, Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Zongben Xu, On the Optimal Solution of Weighted Nuclear Norm Minimization, http://arxiv.org/abs/1405.6012.
[1] Faqiang Wang, Wangmeng Zuo*, Lei Zhang, Deyu Meng, David Zhang, A Kernel Classification Framework for Metric Learning. arXiv:1309.5823, http://arxiv.org/abs/1309.5823.
My publication list in Google Scholar: Wangmeng Zuo
