周全简介
导师照片
性    别:
学    位: 工学博士
最高学历:
职   称: 副教授
职   务:
所在单位: 通信与信息工程学院
导师类别: 硕士生导师
招生学科: 081002信号与信息处理085208电子与通信工程

个人简介 

于2002年在中国地质大学(武汉)机电系获得工学学士学位,之后分别于2006年和2013年在华中科技大学电子与信息工程系获得工学硕士和工学博士学位,现为南京邮电大学通信与信息工程学院副教授,硕士生导师。近年来以科研骨干主持并参与完成了多项科研课题,研究方向涉及计算机视觉、模式识别、图像处理、机器学习等方面,课题经费累计200余万元。现担任IEEE计算机学会会员,IEEE信号处理学会会员,中国计算机学会会员,中国自动化学会会员,中国人工智能学会会员、中国图像图形学会会员,中国计算机学会计算机视觉专业委员会委员,江苏省人工智能学会模式别专业委员会常务委员,江苏省计算机学会图形图像专委员会委员。同时担任国际SCI期刊Multimedia Tools & Applications、ACM/Springer Mobile Networks & Applications、Optics and Laser Technology的客座编辑。并担任IEEE Transactions on Multimedia, IEEE Transactions on Cybernetics,IEEE Transactions on Image Processing,IEEE Transactions on Signal Processing,IEEE Transactions on Circuits and Systems for Video Technology,IEEE Signal Processing Letters, Pattern Recognition等十几个国际SCI学术期刊的审稿工作,以及ICONIP2018、ISAIR2018、WCSP2017、ROSENET2017、IWCMC2017、ISAIR2017、WCSP2016、ISAI2016等一系列国际知名学术会议和论坛的技术委员会主席和成员。近年来在国内外核心期刊和重要国际会议发表论文40余篇,包括国际权威期刊IEEE Transactions on Image Processing,Pattern Recognition, Sensors,Electronics Letters以及国际图像处理年会International Conference on Image Processing (ICIP),英国机器视觉年会British Machine Vision Conference (BMVC),国际模式识别年会International Conference on Pattern Recognition (ICPR),亚太计算机视觉年会Asian Conference on Computer Vision (ACCV)等,并受到了国际相关领域研究人员的关注(Google Scholar显示被引用200余次)。申请国家发明专利8项。

拟招收研究生方向:
1、计算机科学技术
2、通信与信息系统
3、信号与信息处理
4、电子与信息工程
5、模式识别与智能系统

研究方向及主要成果 

1 科研项目列表
[16] 国家自然科学基金面上项目,61876093,基于关联特性的弱监督式海量图像语义分割研究,2019/01-2022/12,65万元,进行中,主持
[15] 国家自然科学基金国际(地区)合作与交流项目,61881240048,第三届人工智能与机器人国际会议暨第一届“人工智能及其在下一代物联网中的应用”中日双边研讨会,2018/01-2018/12,4.5万元,进行中,主持
[14] 华为创新研究计划项目(HIRP OPEN),Research on new algorithm for robust deep neural networks,2018/09-2019/08,20万元,进行中,主持
[13] 国家自然科学基金青年基金项目,61401228,融合多尺度上下文的图像标注研究,2015/01-2017/12,25万元,已结题,主持
[12] 江苏省自然科学基金面上项目,XXXXXXX,面向海量图像与语义类别的弱监督图像语义分割研究,2018/11-2021/11,10万元,进行中,主持
[11] 南京大学计算机软件新技术国家重点实验室开放课题项目,KFKT2017B10,基于低秩矩阵重构的弱监督式物体识别与分割,2017/6-2019/6,2.5万元,进行中,主持
[10] 南京信息工程大学中美计算机科学研究中心开放课题项目,基于低秩矩阵填充的弱监督式图像理解与物体分割,2016/11-2017/11,10万元,已结题,主持
[9] 南京理工大学高维信息智能感知与系统教育部重点实验室开放课题项目,面向海量图像与海量类别的物体识别与语义分割理论与方法研究,2017/1-2018/12,2万元,进行中,主持
[8] 福建省信息处理与智能控制重点实验室(闽江学院)开放课题项目,MJUKF201710,基于矩阵填充的弱监督式图像语义理解研究,2017/1-2018/12,2万元,进行中,主持
[7] 国家博士后特别资助项目,2017T100392,面向低秩矩阵填充的弱监督式海量图像标注研究,2017/11-2019/11,15万元,进行中,主持
[6] 国家博士后资助项目,2015M581841,基于连续贝叶斯更新模型的场景理解研究 ,2015/11-2017/11,7万元,已结题,主持
[5] 江苏省博士后资助项目,1501019A,面向连续贝叶斯更新模型的图像语义分割研究,2015/11-2017/11,5万元,已结题,主持
[4] 国家自然科学基金优秀青年基金,61322104,宽带无线网络资源优化,2014/01-2016/12,100万元,已结题,参加
[3] 国家自然科学基金面上项目基金,61671253,基于稀疏低秩分解的高效视频传输技术研究,2017/01-2020/12,65万元,进行中,参加
[2] 国家自然科学基金青年基金,61501259,基于单谱图像和多光谱信息复合的空中弱目标识别方法研究,2016/01-2019/12,21万元,进行中,参加
[1] 江苏省自然科学青年基金,BK20160908,基于因果关系的复杂视频监控场景行为分析模型研究,2016/07-2019/06,20万元,进行中,参加

2 主要学术论文列表
2.1 期刊论文
[22] Huimin Lu, Li He, Quan Zhou, Zongyuan Ge. Editorial: Artificial Intelligence for Mobile Robotic Networks. MONET, 23(2):326-327,2018. (SCI/EI,JCR 二区)
[21] Quan Zhou, Wenbing Yang, Guangwei Gao, Weihua Ou, Huimin Lu, Jie Chen, and Longin Jan Latecki. Multi-scale deep context convolutional neural networks for semantic
segmentation. World Wide Web-Internet and Web Information Systems, accepted, 2018. (SCI/EI,JCR 二区,CCF-B)
[20] Xiao Ma, Qiao Liu, Weihua Ou, and Quan Zhou. Visual object tracking via coefficients constrained exclusive group lasso. Machine Vision and Application, 29(5):, 749-763. (SCI/EI,JCR 三区,CCF-C)
[19] Guangwei Gao, Zangyi Hu, Songsong Wu, Dong Yue, Quan Zhou, and Pu Huang. Robust low-resolution face recognition via low-rank representation and locality-constrained regression. Computers and Electrical Engineering, 70:968-977, 2018.(SCI/EI,JCR 四区)
[18] Weihua Ou, Xiao Luan, Jianping Gou, Quan Zhou, Wenjun Xiao, Xiangguang Xiong, Wu Zeng. Robust discriminative nonnegative dictionary learning for occluded face recognition. Pattern Recognition Letters 107:41-49, 2018.(SCI/EI,JCR 三区,CCF-C)
[17] Quan Zhou, Zheng Jie Hu, Guang Wei Gao, Wen Bin Yu, Xin Jin, Hui Min Lu, Bao Yu Zheng, and Longin Jan Latecki. Learning adaptive contrast combinations for visual saliency detection. IEEE Transactions on Multimedia, 2018, accepted. (SCI/EI检索, JCR一区)
[16] Quan Zhou, Wenbin Yu, Yawen Fan, Hu Zhu, Xiaofu Wu, Weihua Ou, Weiping Zhu, and Longin Jan Latecki. Face recognition via fast dense correspondence. Multimedia Tools and Applications, 77(9):10501-10519, 2018. (SCI/EI,JCR 三区,CCF-C)
[15] Yawen Fan, Quan Zhou, Wenjing Yue, Wei-Ping Zhu. A dynamic causal topic model for mining activities from complex videos. Multimedia Tools and Applications, 77(9): 10669-10684, 2018.(SCI/EI,JCR 三区,CCF-C)
[14] Lizhen Deng, Hu Zhu, Quan Zhou, Yansheng Li. Adaptive top-hat filter based on quantum genetic algorithm for infrared small target detection. Multimedia Tools and Applications, 77(9):10539-10551, 2018. (SCI/EI,JCR 三区,CCF-C)
[13] Huimin Lu, Yin Zhang, Yujie Li, Quan Zhou, Ryunosuke Tadoh, Tomoki Uemura, Hyongseop Kim, and Seiichi Serikawa. Depth map reconstruction for underwater kinect camera using inpainting and local image mode filtering. IEEE Access, 5:7115-7122, 2017.(SCI, EI, JCR二区)
[12] Qiao Liu, Xiao Ma, Weihua Ou, Quan Zhou. Visual object tracking with online sample selection via lasso regularization. Signal, Image and Video Processing, 11(5): 881-888, 2017.(SCI/EI,JCR 四区)
[11] Shu Cai, Quan Zhou, and Hongbo Zhu. A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation. Sensors, 16(12): 2191-2204, 2016.(SCI, EI, JCR二区)
[10] Quan Zhou, Baoyu Zheng, Weiping Zhu, and Longin Jan Latecki. Multi-scale context for scene labeling via flexible segmentation graph. Pattern Recognition, 59(2016): 312-324, 2016. (SCI/EI检索, JCR二区, SCI号: 000383007800028, EI号: 20162602542149)
[9] Quan Zhou, Shafiq ur Rehman, Yu Zhou, and Baoyu Zheng. Face recognition using dense SIFT feature alignment. Chinese Journal of Electronics, 25(6): 1034-1039, 2016. (SCI/EI检索, JCR四区)
[8] Quan Zhou. Object-based attention: saliency detection using the contrast via background prototypes. Electronics Letters, 50(14): 997-999, 2014. (SCI/EI检索, JCR三区, SCI号: 000340241200018, EI号: 20142817928661)
[7] Quan Zhou, Jun Zhu and Wenyu Liu. Learning dynamic and hybrid markov random field for image labeling. IEEE Transactions on Image Processing, 22(6): 2219-2232, 2013. (SCI/EI检索, JCR二区, SCI号: 000318477500010, EI号: 20131516195832)
[6] Jun Zhu, Quan Zhou, Weijia Zou, Rui Zhang, and Wenjun Zhang. A generalized pyramid matching kernel for human action recognition in realistic videos. Sensors, 13(11): 14398-14416, 2013.(SCI/EI检索, JCR二区)
[5] Guang Wei Gao, Xiao Yuan Jing, Pu Huang, Quan Zhou, Song Song Wu, and Dong Yue. Locality-constrained double low-rank representation for effective face hallucination. IEEE Acess, 4: 8775 - 8786, 2016. (SCI/EI检索, JCR二区)
[4] Jun Zhu, Quan Zhou, Weijia Zou, Rui Zhang, and Wenjun Zhang. A generalized pyramid matching kernel for human action recognition in realistic videos. Sensors, 13(11): 14398-14416, 2013. (SCI/EI检索, JCR三区, SCI号: 000330321100008, EI号: 20134416938621)
[3] 周全,魏昕,陈建新,郑宝玉. 基于SIFT特征对齐的人脸识别算法.《电子与信息学报》, 37(8):1913-1919, 2015. (EI检索, EI号: 20153401195817)
[2] 周全,王磊,周亮,郑宝玉.基于上下文的图像标注. 《自动化学报》, 12(40):2944-2949, 2014. (EI检索, EI号: 20150400441387)
[1] Quan Zhou and Liang Zhou. Compressive sensing for video coding: a brief overview. IEEE COMSOC MMTC E-Letter, 9(2): 20-22, 2014.

2.2 会议论文
[20] Quan Zhou, Jinwen Wu, Yawen Fan, Suofei Zhang, Xiaofu Wu, Baoyu Zheng, Xin Jin, Huimin Lu, and Longin Jan Latecki. Weighted linear multiple kernel learning for saliency detection. International Conference on Robotic Sensor Networks, accepted, 2018. (EI, Best paper)
[19] Xin Jin, Shuyun Zhu, Le Wu, Geng Zhao, Xiaodong, Li, and Quan Zhou.Encryption of 3D surface model with textures through multi-level chaotic maps. International Conference on Robotic Sensor Networks, accepted, 2018. (EI)
[18] Quan Zhou, Yawen Fan, Weihua Ou, and Huimin Lu. Saliency detection via objectness transferring. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[17] Ruisheng Xuan, Weihua Ou, Quan Zhou, Yongfeng Cao, Hua Yang, Xiangguang Xiong, and Fangming Ruan. Semantics consistent adversarial cross-modal retrieval. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[16] Yuzhe Sun, Quan Zhou and Xiaofu Wu. Domain adaptation for semantic segmentation with conditional random field. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[15] Suofei Zhang, Quan Zhou and Xiaofu Wu. Fast dynamic routing based on weighted kernel density estimation. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[14] Wenbing Yang, Quan Zhou, Jingnan Lu, Xiaofu Wu, Suofei Zhang, and Longin Jan Latecki. Dense deconvolutional network for semantic segmentation. IEEE International Conference on Image Processing, 2018, pp. 1573-1577. (EI)
[13] Yan Wang, Xiaofu Wu, Yuanyuan Chang, Suofei Zhang, Quan Zhou, and Jun Yan. Batch normalization: is learning an adaptive gain and bias necessary? International Conference on Machine Learning and Computing, 2018, pp. 36-40.
[12] Wenbin Yang, Quan Zhou, Yawen Fan, Guangwei Gao, Songsong Wu, Weihua Ou, Huiming Lu, Jie Cheng, and Longin Jan Latecki. Deep context convolutional neural networks for semantic segmentation. Chinese Conference on Computer Vision, pp:696-704, Tian Jin, China, 2017. (EI)
[11] Xin Jin, Yannan Li, Ningning Liu, Xiaodong Li, Quan Zhou, Yulu Tian, Shiming Ge. Scene relighting using a single reference image through material constrained layer decomposition. The 2nd International Symposium on Artificial Intelligence and Robotics, pp:37-44, Kyushu, Japan, 2017. (EI, Best student paper)
[10] Guangwei Gao, Pu Huang, Quan Zhou, Songsong Wu, Xiaoyuan Jing, and Dong Yue. Low-rank representation and locality-constrained regression for robust low-resolution face recognition. The 2nd International Symposium on Artificial Intelligence and Robotics, Japan, pp:17-26, Kyushu, Japan, 2017. (EI)
[9] Yu Min Hu, Quan Zhou, Guang Wei Gao, Zhi Jun Yao, Wei Hua Ou, and Longin Jan Latecki. Robust background exclusion for salient object detection. in Proceeding of International Conference on Wireless Communication and Signal Processing, 2016, pp. 1-5 (EI检索)
[8] Zhi Jun Yao, Quan Zhou, Xiao Fei Yang, Chun Hua Yang, and Zhong Yuan Lai. Quadrants Histogram Equalization with a Clipping Limit for image enhancement. in Proceeding of International Conference on Wireless Communication and Signal Processing, 2016, pp. 15-20 (EI检索)
[7] Guang Wei Gao, Quan Zhou, Song Song Wu, and Dong Yue. Locality-constrained matrix regression for position-patch based face hallucination. in Proceeding of IEEE International Conference on Image Processing, 2016, pp:419-423.
[6] Quan Zhou, Nianyi Li, Jianxin Chen, Shu Cai, and Longin Jan Latecki. Salient object detection via background contrast. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp:1463-1467, Brisbane, Australia, 2015. (EI检索, EI号:20154501510163)
[5] Quan Zhou, Shu Cai, Shaojun Zhu, and Baoyu Zheng. Salient object detection using window mask transferring with multi-layer background contrast. Asian Conference on Computer Vision, pp:1418-1441, Singapore, 2014. (SCI 检索, SCI号: 000362446900015)
[4] Quan Zhou, Ji Chen, Shiwei Ren, Yu Zhou, Jun Chen, and Wenyu Liu. On contrast combinations for visual saliency detection. IEEE International Conference on Image Processing, pp:2665-2669, Melbourne, Australia, 2013. (SCI/EI检索, SCI号: 000351597602157, EI号: 20141117461844)
[3] Quan Zhou, Nianyi Li, Yi Yang, Pan Chen, and Wenyu Liu. Corner-surround contrast for saliency detection. IEEE International Conference on Patten Recognition, pp:1318-1321, Tuskuba Science City, Japan, 2012. (SCI/EI检索, SCI号: 000343660601128, EI号: 20131016091861)
[2] Quan Zhou, Canxiang Yan, Yinyin Zhu, Xiang Bai, and Wenyu Liu. Image labeling by multiple segmentation. IEEE International Conference on Image Processing , pp: 3129-3123, Brussels, Belgium, 2011. (SCI/EI检索, SCI号: 000298962503066, EI号:20120514730386)
[1] Quan Zhou, and Wenyu Liu. Inference scene labeling by incorporating object detection with explicit shape model. Acian Conference on Computer Vision, pp:382-395, Queestwon, New Zealand, 2010. (SCI/EI检索, SCI号: 000298617700030, EI号: 20111113750358)

3 申请专利列表
[6] 一种视频监控场景中的行为分析方法. 2017.9, 中国,CN201710291009.6, 排名: 2.
[5] 一种基于局部和全局对比度的显著性检测方法. 申请专利号: CN 201510869726.3, 排名: 1.
[4] 一种基于背景对比的显著性检测方法. 2016.10, 中国, CN201610339693.6, 排名: 1.
[3] 一种基于t混合因子分析的分布式手写数字识别方法. 申请专利号: CN 201510415750.X, 排名: 3.
[2] 传感器网络中基于混合因子分析模型的分布式聚类方法. 申请专利号: CN 201510414218.6, 排名: 3.
[1] 一种视频监控场景中的行为分析方法. 申请专利号: CN 201710291009.6, 排名: 2.


4 学术服务
4.1 学术兼职
[9] IEEE计算机协会会员, 2013 - present
[8] IEEE信号处理协会会员, 2013 - present
[7] 计算机学会会员, 2017 - present
[6] 图像图形学会会员, 2018 - present
[5] 自动化学会会员, 2018 - present
[4] 人工智能学会会员, 2018 - present
[3] 计算机学会计算机视觉专委会委员, 2017 - present
[2] 江苏省计算机学会图形图像专业委员会委员, 2016 - present
[1] 江苏省自动化学会模式识别专业委员会委员, 2016 - present

4.2 SCI国际期刊(客座)编辑
[3] Multimedia Tools & Applications
[2] ACM/Springer Mobile Networks & Applications
[1] Optics & Laser Technology

4.3 国际会议技术委员会成员
[14] 受邀大会主席,国际人工智能和机器人论坛,南京,中国,2018.
[13] 受邀大会主席,人工智能及其在下一代互联网中的应用中日双边研讨会,北九州,日本,2018.
[12] 受邀技术委员会主席,国际神经信息处理大会,广州,中国,2017.
[11] 受邀研讨会主席,亚太模式识别会议,南京,中国,2017.
[10] 受邀技术委员会成员,国际神经信息处理会议,广州,中国,2017.
[9] 受邀技术委员会成员,国际无线和移动通信会议,瓦伦西亚,西班牙,2017.
[8] 受邀技术委员会主席,国际人工智能和机器人论坛,北九州,日本,2017.
[7] 受邀技术委员会主席,国际机器人传感网络论坛,北九州,日本,2017.
[6] 受邀技术委员会成员,国际信号与系统大会,巴厘岛,印度尼西亚,2017.
[5] 受邀技术委员会成员,亚太通信大会,日惹,印度尼西亚,2016.
[4] 受邀技术委员会成员,国际信息系统与人工智能大会,香港,中国,2016.
[3] 受邀技术委员会成员,国际无线通信与移动计算大会,帕福斯,塞浦路斯,2016.
[2] 受邀大会主席,IEEE国际无线通信与信号处理大会,扬州,中国,2016.
[1] 受邀分会主席,IEEE国际无线通信与信号处理大会,合肥,中国,2014.

4.4 学术期刊审稿人
[18] IEEE Transactions on Multimedia
[17] IEEE Transactions on Image Processing
[16] IEEE Transactions on Cybernetics
[15] IEEE Transactions on Circuits and Systems for Video Technology
[14] IEEE Transactions on Signal Processing
[13] IEEE Signal Processing Letters
[12] Pattern Recognition
[11] Journal of Franklin Institute
[10] ETRI Journal
[9] Neurocomputing
[8] Multimedia Tools and Applications
[7] Mobile Networks and Applications
[6] Computers and Electrical Engineering
[5] International Journal of Ad Hoc and Ubiquitous Computing
[4] KSII Transactions on Internet and Information Systems
[3] Optics & Laser Technology
[2] 计算机学报
[1] 自动化学报

Welcome all the students join us if
- you are interested in artificial intelligence, computational photography, computer vision, and machine learning;
- you are willing to work on practical image and vision problems in the real-world life;
- you are highly self-motivated, independently-owne, and diligent in thinking person;
- you are familiar with C++/MATLAB/python or perhaps OpenCV.

联系方式 

移动电话:15861815364
单位电话:025-83492420
住宅电话:
Email   :quan.zhou@njupt.edu.cn

备注 

提供优秀硕士生到腾讯、阿里巴巴、华为等公司的实习机会,以及国外高校的访问机会。