贝尔学院
贝尔学院
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周全---理工科强化班
发布时间: 2015-03-10 访问次数: 343

 

一、个人简介

    性别:男,民族:汉,出生年月:1980年2月,籍贯:湖北鄂州。

    职称:讲师,主要研究领域:计算机视觉、模式识别、机器学习、图像/视频分析与处理.

二、研究方向及主要成果

    目前研究方向包括:图像/视频分析与理解、人脸对齐与识别、显著性物体检测

    主要成果简介:

    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讲师,南京邮电大学引进人才。发表SCIEI论文20余篇,并主持南京邮电大学人才引进项目和国家自然科学基金项目各1项。近年来以科研骨干参与完成了多项科研课题,内容涉及计算机视觉、模式识别、图像处理、机器学习等方面。现担任IEEE Transactions on Man, System, Cybernetics - Part B, IEEE Transactions on CyberneticsIEEE Transactions on Image ProcessingIEEE Transactions on Signal ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Signal Processing Letters ETRI Journal等国际学术期刊的审稿工作。担任多个国际学术会议的TPC (technique program chair)。近三年来在国内外核心期刊和重要国际会议发表多篇论文,包括国际权威期刊IEEE Transactions on Image ProcessingSensors,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显示最高引用率116)。申请国家发明专利2 项。

三、代表性著作

    [1] Quan Zhou.Object-based attention: saliency detection using the contrast via background prototypes.Electronics Letters, 50(14): 997-999, 2014.(SCI, IF = 1.038)

    [2] Quan Zhouand Liang Zhou. Compressive sensing for video coding: a brief overview.IEEE COMSOC MMTC E-Letter, 9(2): 20-22, 2014.

    [3] Quan Zhou, Lei Wang, Liang Zhou, and Baoyu Zhen. Contextual-based image labeling.Acta Automatica Sinica, accepted, 2014.

    [4] Quan Zhou, Jun Zhu and Wenyu Liu. Learning dynamic and hybrid markov random field for image labeling.IEEE Trans. Image Processing, 22(6): 2219-2232, 2013.(SCI, IF = 3.199)

    [5] Jun Zhu,Quan Zhou,Weijia Zou, Rui Zhang, and Wenjun Zhang. A generalized pyramid matching kernal for human action recognition in realistic videos.Sensors, 13(11): 14398-14416, 2013.(SCI, IF = 1.953)

    [6] Quan Zhou, Longin Jan Latecki, and Wenyu Liu.Multi-scale context for scene labeling via dynamic segmentation graph. Technique Report.

    [7] Quan Zhou, Shu Cai, Shaojun Zhu, and Baoyu Zhen. Salient object detection using window mask transferring with multi-layer background contrast.Acian Conference on Computer Vision (ACCV), accepted, 2014.(EI)

    [8] Quan Zhou, Nianyi Li, Jianxin Chen, Liang Zhou, and Longin Jan Latecki. Salient object detection via background contrast.IEEE International Conference on Image Processing (ICIP), accepted, 2014.(EI)

    [9] Quan Zhou, Ji Chen, Shiwei Ren, Yu Zhou, Jun Chen, and Wenyu Liu. On contrast combinations for visal saliency detection.IEEE International Conference on Image Processing (ICIP), pp:2665-2669, Melbourne, Australia, 2013.(EI, Oral)

    [10] Quan Zhou, Nianyi Li, Yi Yang, Pan Chen, and Wenyu Liu. Corner-surround contrast for saliency detection.IEEE International Conference on Patten Recognition (ICPR),pp:1318-1321, Tuskuba Science City, Japan, 2012.(EI)

    [11] Quan Zhou, Canxiang Yan, Yinyin Zhu, Xiang Bai, and Wenyu Liu. Image labeling by multiple segmentation.IEEE International Conference on Image Processing (ICIP),pp:3129-3123, Brussels, Belgium, 2011.(SCI, EI, Oral)

    [12] Quan Zhou, and Wenyu Liu. Inference scene labeling by incorporating object detection with explicit shape model.Acian Conference on Computer Vision (ACCV), pp:382-395,Queestwon, New Zealand, 2010.(EI)

    [13] Qin Lu, Yu Zhou,Quan Zhou, Xiang Bai, and Wenyu Liu. Blur target kernel-based tracking with metric learning.International Conference on Medical Innovation and Computing Service (ICMICS),pp:1-13, Tainan, Taiwan. 2013.(Oral)

    [14] Jun Zhu, Weijia Zou, Xiaokang Yang, Rui Zhang,Quan Zhou, and Wenjun Zhang. Image Classification by hierarchical spatial pooling with partial least squares analysis.British Machine Vision Conference (BMCV),pp:102.1-102.11, Guildford, England, 2012.

    [15] Yu Zhou, Junwei Wang,Quan Zhou, Xiang Bai and Wenyu Liu. Shape matching using points co-occurence pattern.International Conference on Image and Graph (ICIG),pp:344-349, Hefei, China, 2011.(EI)

四、联系方式

    办公地点:南京邮电大学三牌楼校区科技楼1407

    单位电话:15861815364

    Emailquan.zhou @njupt.edu.cn