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自动化研究所人才库

  • 姓名: 王金桥
  • 性别: 男
  • 职称: 正高级
  • 电子邮件: jinqiao.wang@ia.ac.cn
    简  历:
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    姓名

    王金桥

    性别

    联系方式

    jqwang@nlpr.ia.ac.cn 

    专业技术职务

    研究员

    部门/实验室

    模式识别国家重点实验室

    通讯地址

    北京市海淀区中关村东路95号

    邮编

    100190

    研究领域

    图像与视频分析 大规模目标检测与识别 目标跟踪 目标检索 

    教育背景

    2004-09--2008-07 中科院自动化研究所 博士 
    2001-09--2004-07 天津大学 硕士 

    工作简历

    2016-10~现在, 中科院自动化所, 研究员
    2011-10~2016-09,中科院自动化研究所, 副研究员
    2008-07~2011-10,中科院自动化研究所, 助理研究员

    兼职经历

    担任International Conference on Internet Multimedia Computing and Service(ICIMCS2009)出版主席。担任ICME2011和MMM2011、ICIP2014和ACM Multimedia 2015的程序委员会委员。担任IEEE Trans. on Multimedia、Computer Vision and Image Understanding、Multimedia Systems、IEEE Trans. Circuits and Systems for Video Technology、Neurocomputing等国际期刊杂志以及CVPR、ICME、ICIP、ICPR、ACCV、MMM、PCM、ACM Multimedia等国际会议的审稿人。 
    ICIMCS2009(互联网多媒体计算与服务国际会议)的出版主席; 
    PCM2011和MMM2011的程序委员会委员;

    发表论文

    2016

    [1] Ren Yang, Huazhong Xu, Jinqiao Wang: Robust Crowd Segmentation and Counting in Indoor Scenes. MMM (1) 2016: 505-514 
    [2] Guibo Zhu, Jinqiao Wang, Yi Wu, Xiaoyu Zhang, Hanqing Lu: MC-HOG Correlation Tracking with Saliency Proposal. AAAI 2016
    [3] Real-time Visual Tracking with Multiple Multi-kernel Correlation Filters, Underreview, (The source code will be available after the paper is accepted). [Video-Results]
    [4] Chaoyang Zhao, Jinqiao Wang, Guibo Zhu, Yi Wu, Hanqing Lu: Learning weighted part models for object tracking. Computer Vision and Image Understanding 143: 173-182 (2016) 
    [5] Jinqiao Wang, Min Xu, Hanqing Lu, Ian Burnett: ActiveAd: A novel framework of linking ad videos to online products. Neurocomputing 185: 82-92 (2016) 
    [6] Jun Luo, Jinqiao Wang, Huazhong Xu, Hanqing Lu: Real-time people counting for indoor scenes. Signal Processing 124: 27-35 (2016)
    [7] Yingying Chen, Jinqiao Wang, Min Xu, Xiangjian He, Hanqing Lu: A unified model sharing framework for moving object detection. Signal Processing 124: 72-80 (2016)
    [8] Huiying Liu, Min Xu, Jinqiao Wang, Tianrong Rao, Ian Burnett: Improving Visual Saliency Computing With Emotion Intensity. IEEE Trans. Neural Netw. Learning Syst. 27(6): 1201-1213 (2016)
    [9] Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Chao Liang, Jinqiao Wang: Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface. IJCAI 2016: 2669-2675
    [10] Guibo Zhu, Jinqiao Wang, Hanqing Lu: Clustering based ensemble correlation tracking. Computer Vision and Image Understanding 153: 55-63 (2016) 
    [11] Weijian Ruan, Jun Chen, Jinqiao Wang, Bo Luo, Wenjun Huang, Ruimin Hu: Boosted local classifiers for visual tracking. ICME 2016: 1-6 
    [12] Jinqiao Wang, Zhan Qu, Yingying Chen, Tao Mei, Min Xu, La Zhang, Hanqing Lu: Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation. IEEE Trans. Circuits Syst. Video Techn. 26(11): 2079-2092 (2016) 
    [13] Haiyun Guo, Jinqiao Wang, Yue Gao, Jianqiang Li, Hanqing Lu: Multi-View 3D Object Retrieval With Deep Embedding Network. IEEE Trans. Image Processing 25(12): 5526-5537 (2016) 
    [14] Zhiqiang Li, La Zhang, Yikai Fang, Jinqiao Wang, Huazhong Xu, Baocai Yin, Hanqing Lu: Deep People Counting with Faster R-CNN and Correlation Tracking. ICIMCS 2016: 57-60 
    [15] Guanzhong Wang, Yikai Fang, Jinqiao Wang, Jian Sun: Extensive Comparison of Visual Features for Person Re-identification. ICIMCS 2016: 192-196 
    [16] Tianrong Rao, Min Xu, Huiying Liu, Jinqiao Wang, Ian Burnett: Multi-scale blocks based image emotion classification using multiple instance learning. ICIP 2016: 634-638 
    [17] Lingxiang Wu, Jinqiao Wang, Guibo Zhu, Min Xu, Hanqing Lu: Person re-identification via rich color-gradient feature. ICME 2016: 1-6 

    2015

    [1] Jun Luo, Jinqiao Wang, Huazhong Xu, Hanqing Lu: A Real-Time People Counting Approach in Indoor Environment, MMM 2015
    [2] Guibo Zhu, Jinqiao Wang, Yi Wu, Hanqing Lu: Collobarative Correlation Tracking, BMVC 2015 [PDF][PPT][CODE]
    [3] Jinqiao Wang, Jianlong Fu, Hanqing Lu:Finding logos in real-world images with point-context representation-based region search. Multimedia Syst. 21(3): 301-311 (2015)
    [4] Jianlong Fu, Jinqiao Wang, Yong Rui, Xin-Jing Wang, Tao Mei, Hanqing Lu: Image Tag Refinement With View-Dependent Concept Representations. IEEE Trans. Circuits Syst. Video Techn. 25(8): 1409-1422 (2015)
    [5] Guibo zhu, Jinqiao Wang, Chaoyang Zhao, Hanqing Lu: Weighted Part Context Learning for Visual Tracking. IEEE Transactions on Image Processing 24(12): 5140-5151 (2015)
    [6] Haiyun Guo, Jinqiao Wang, Yingying Chen, Jianlong Fu, Chaoyang Zhao, Guibo Zhu and Hanqing Lu: 3D Object Retrieval with Multimodal Views. 3DOR 2015: 129-136
    [7] Wei Fu, Chaoyang Zhao, Jinqiao Wang, Jing Liu, Jian Cheng, Hanqing Lu: Concurrent group activity classification with context modeling. ICIMCS 2015: 9
    [8] Jun Luo, Jinqiao Wang, La Zhang, Yingying Chen, Huazhong Xu, Hanqing Lu: 60 Hz self-tuning background modeling. ICIMCS 2015: 78
    [9] Yingying Chen, Jinqiao Wang, Hanqing Lu: Learning sharable models for robust background subtraction. ICME 2015: 1-6
    [10] Yingying Chen, Jinqiao Wang, Jing Liu, Hanqing Lu: Mobile Media Thumbnailing. ICMR 2015: 665-666
    [11] Haiyun Guo, Jinqiao Wang, Min Xu, Zheng-Jun Zha, Hanqing Lu: Learning Multi-view Deep Features for Small Object Retrieval in Surveillance Scenarios. ACM Multimedia 2015: 859-862
    [12] Yuhang Wang, Jing Liu, Jinqiao Wang, Yong Li, Hanqing Lu: Color names learning using convolutional neural networks. ICIP 2015: 217-221
    [13] Haiyun Guo, Jinqiao Wang, Hanqing Lu: Learning deep compact descriptor with bagging auto-encoders for object retrieval. ICIP 2015: 3175-3179
    [14] Yingying Chen, Jinqiao Wang,Jianqiang Li, Hanqing Lu: Multiple features based shared models for background subtraction. ICIP 2015: 3946-3950
    [15] Jianlong Fu, Yue Wu, Tao Mei, Jinqiao Wang, Hanqing Lu, Yong Rui: Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging. ICCV 2015 
    [16] Guibo Zhu, Jinqiao Wang, Chaoyang Zhao, Hanqing Lu: Weighted Part Context Learning for Visual Tracking. IEEE Transactions on Image Processing 24(12): 5140-5151 (2015)

    专利成果

    (1) 基于动态群组划分的多目标跟踪算法,发明,2011,第2作者,专利号:201110113290.7 
    (2) 极小化上界误差的在线协同提升学习的视觉跟踪方法,发明,2010,第2作者,专利号:201010603293.1 
    (3) 基于目标分类和轨迹聚类的语义场景模型学习方法,发明,2010,第2作者,专利号:201010603240.2 
    (4) 基于群组上下文的行人计数方法,发明,2011,第2作者,专利号:201110201983.1 
    (5) 商标检测与识别方法,发明,2011,第2作者,专利号:PCT/CN2011/073985 
    (6) 基于视频监控网络的自动视频浓缩技术,发明,2011,第3作者,专利号:201110208090.X 

    荣誉及奖励

    2011年微软亚洲研究院“铸星计划”青年访问学者。 
    2014年第一届智慧城市视频分析技术挑战赛中,获得行人检测第二名、多目标检测第二名。 
    2015年第二届全国研究生智慧城市技术与创意设计大赛中视频挑战赛的5个竞赛任务中,获得第一名2项、第二名3项(参赛队伍117支); 
    2015年欧洲图形国际会议多视角目标检索竞赛第一名,其中6项指标4项第一。 
    2016年由美国国家标准与技术研究院NIST组织TRECVID 视频实例检索(Instance Retrieval)比赛第一名。 
    2016上海BOT(BRAIN OF THINGS 万物之智)视觉大数据识别竞赛第一名和最佳算法奖(全球400队),奖金20万元。 
    2016 CCF大数据与计算智能大赛监控场景下人的精细化识别二等奖    

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