丁建伟

中国人民公安大学 , 博士,副教授 研究兴趣:统计模式识别与机器学习计算机视觉图像视频分析

我是中国人民公安大学一名教师,主要从事计算机视觉、视频图像分析和机器学习等方面的教学研究工作。2013年1月博士毕业于中国科学院自动化研究所模式识别国家重点实验室,导师谭铁牛研究员。2013年7月进入中国人民公安大学信息技术与网络安全学院视频图像技术教研室工作。

地址:北京市大兴区团河218东配楼402
邮箱:jwding@ppsuc.edu.cn, jwding@foxmail.com
电话:010-83906329

2002.09-2006.06 南京航空航天大学航空宇航学院,本科

2006.09-2009.03 南京航空航天大学航空宇航学院,硕士

2009.09-2013.01 中国科学院自动化研究所模式识别国家重点实验室,博士(导师:谭铁牛研究员)

  • 2013.07-至今      中国人民公安大学 信息技术与网络安全学院

北京高校青年教师社会调研优秀项目一等奖,2015年
个人嘉奖,2018年

国家自然科学青年基金,复杂场景下目标跟踪的表观建模研究(No. 61503388),2016.1-2018.12,(主持)

国家自然科学基金:抵抗新型去同步攻击的鲁棒数字水印技术研究(61402484),2015年--2017年,(参与)
国家自然科学基金:公安视频大数据中的步态模式挖掘与表达(61503387),2016年--2018年,(参与)
国家自然科学基金:基于统一结构场模型的警务视频分析研究(61501467),2016年--2018年,(参与)
国家重点研发计划专项:可视警务综合实战应用平台,2016年--2019年,(参与)
国家自然科学基金:图像中的设备指纹提取与评测方法研究(61772539),2018年--2021年,(参与)

  1. A Robust Depth Image Based Rendering Scheme for Stereoscopic View Synthesis with Adaptive Domain Transform Based Filtering Framework
    Wei Liu, Yunqi Tang, Jianwei Ding, Ming Yue. IEICE Transactions on Information & Systems: 2018 ,101-D(12) ,3138-3149
  2. Severely Blurred Object Tracking by Learning Deep Image Representations
    Jianwei Ding, Yongzhen Huang, Wei Liu, Kaiqi Huang. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT): 2016 ,vol. 26, no. 2 ,pp. 319 - 331 摘要 
  3. Robust Tracking with Adaptive Appearance Learning and Occlusion Detection
    Jianwei Ding, Yunqi Tang, Huawei Tian, Wei Liu, Yongzhen Huang. Multimedia Systems: 2016 ,vol. 22, no. 2 ,pp 255-269 摘要 
  4. An enhanced depth map based rendering method with directional depth filter and image inpainting
    Wei Liu, Dehua Zhang, Mingyue Cui, Jianwei Ding. The Visual Computer: 2016 ,5/32 ,579–589 摘要 
  5. Tracking by Local Structural Manifold Learning in a New SSIR Particle Filter
    Jianwei Ding, Yunqi Tang, Wei Liu, Yongzhen Huang, Kaiqi Huang. Neurocomputing: 2015 ,vol. 161 ,pp. 277–289 摘要 
  6. Face Recognition Based on Densely Connected Convolutional Networks
    Tong Zhang, Rong Wang, Jianwei Ding, Xin Li, Bo Li. Fourth IEEE International Conference on Multimedia Big Data: 2018 ,1-6
  7. Online Learning of Spatial-Temporal Convolution Response for Robust Real-Time Tracking
    Zhou Jinglin, Wang Rong, Ding jianwei. ICPR: 2018
  8. Deep Convolutional Features for Correlation Filter Based Tracking with Parallel Network
    Jinglin Zhou, Rong Wang, Jianwei Ding. IGTA: 2018 ,461-470
  9. Abnormal Event Detection by Learning Spatiotemporal Features in Videos
    Xiaofeng Zhang, Rong Wang, Jianwei Ding. 13th Conference on Image and Graphics Technologies and Applications, IGTA: 2018 ,421-431
  10. A Discriminative Feature Learning Based on Deep Residual Network for Face Verification
    Tong Zhang, Rong Wang, Jianwei Ding. IGTA: 2018 ,411-420
  11. Automatic multi-object extraction from a natural image based on saliency map
    Huawei Tian, Yanhui Xiao, Wengang Feng, Jianwei Ding, Yunqi Tang Huawei Tian, Yanhui Xiao, Wengang Feng, Jianwei Ding, Yunqi Tang. ISPACS: 2017 ,327-331
  12. An Application Independent Logic Framework for Human Activity Recognition
    Wengang Feng, Yanhui Xiao, Huawei Tian, Yunqi Tang, Jianwei Ding. ICIG: 2017 ,589-600
  13. Action Graph Decomposition Based on Sparse Coding
    Wengang Feng, Huawei Tian, Yanhui Xiao, Jianwei Ding, Yunqi Tang. ICIG: 2017 ,48-57
  14. Robust Appearance Learning for Object Tracking in Challenging Scenes
    Jianwei Ding and Yunqi Tang and Huawei Tian and Yongzhen Huang. Pattern Recognition - 6th Chinese Conference, {CCPR} 2014, Changsha, China, November 17-19, 2014. Proceedings, Part {II}: 2014 ,218--227
  15. A Study of Ancient Ceramics Verification Based on Vision Methods
    Yunqi Tang and Jianwei Ding and Wei Guo. Pattern Recognition - 6th Chinese Conference, {CCPR} 2014, Changsha, China, November 17-19, 2014. Proceedings, Part {II}: 2014 ,63--71
  16. Tracking Blurred Object with Data-Driven Tracker
    Jianwei Ding and Kaiqi Huang and Tieniu Tan. Ninth {IEEE} International Conference on Advanced Video and Signal-Based Surveillance, {AVSS} 2012, Beijing, China, September 18-21, 2012: 2012 ,331--336
  17. Global and local training for moving object classification in surveillance-oriented scene
    Xin Zhao and Jianwei Ding and Kaiqi Huang and Tieniu Tan. First Asian Conference on Pattern Recognition, {ACPR} 2011, Beijing, China, 28-28 November, 2011: 2011 ,681--685
  18. Robust moving object segmentation with two-stage optimization
    Jianwei Ding and Xin Zhao and Kaiqi Huang and Tieniu Tan. First Asian Conference on Pattern Recognition, {ACPR} 2011, Beijing, China, 28-28 November, 2011: 2011 ,149--153
  19. Robust object tracking via online learning of adaptive appearance manifold
    Jianwei Ding and Yongzhen Huang and Kaiqi Huang and Tieniu Tan. {IEEE} International Conference on Computer Vision Workshops, {ICCV} 2011 Workshops, Barcelona, Spain, November 6-13, 2011: 2011 ,1863--1869
  20. Modeling Complex Scenes for Accurate Moving Objects Segmentation
    Jianwei Ding and Min Li and Kaiqi Huang and Tieniu Tan. Computer Vision - {ACCV} 2010 - 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part {II}: 2010 ,82--94

1. 数字图像处理
2. 人工神经网络原理及应用

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更新于:2019-01-24 14:56      累计访问量:833

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