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自动化研究所人才库

  • 姓名: 董未名
  • 性别: 男
  • 职称: 研究员
  • 电子邮件: 
    简  历:

  • 姓名

    董未名

    性别

    联系方式

    weiming.dong@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

    研究领域:计算可视媒体(Computational Visual Media)

    随着互联网和人工智能技术的发展,个人图片和视频的智能处理成为普通大众的刚需,海量图像/视频智能处理成为互联网行业的重要需求。因此,我们以深度学习为核心框架,进行基于互联网数据集的可视媒体(图像与视频为主)内容分析、内容识别、内容生成、内容呈现内容评价等方法和应用的研究。目前的主要研究方向包括:图像生成、智能美颜/美图、时尚图像分析与合成、艺术图像分析与合成、图像目标检测与内容理解等。

    我们的理念:科研问题来源于生活,科研成果服务于生活,AI使生活更美好,愿与热爱生活的后浪们共享科研的快乐!

    欢迎对计算可视媒体学术和应用研究有兴趣的同学加盟,特别欢迎热爱美学、艺术和时尚的同学!

    我们为学生提供:一流的学习科研环境、与国际顶尖学者长期学术合作的机会、六个月以上顶级互联网公司(腾讯、滴滴、快手、亮亮视野、远鉴科技等)实习机会、六个月以上国际交换生留学机会。

    教育背景

    2004-04--2007-06   法国国立信息与自动化研究院(INRIA)/法国亨利?庞加莱南锡第一大学   博士
    2001-09--2004-01   清华大学计算机科学与技术系   工学硕士
    1997-09--2001-07   清华大学计算机科学与技术系   工学学士

    工作简历

     

    2016-10至今,365bet亚洲版登录-首页模式识别国家重点实验室,研究员

    2010-10~2016-10,365bet亚洲版登录-首页模式识别国家重点实验室,副研究员

    2009-11~2010-10,365bet亚洲版登录-首页模式识别国家重点实验室,助理研究员

    2007-10~2009-10,365bet亚洲版登录-首页中欧信息、自动化与应用数学联合实验室,博士后

    发表论文

    * Yingying Deng, Fan Tang, Weiming Dong, Chongyang Ma, Feiyue Huang, Oliver Deussen, Changsheng Xu: Exploring the Representativity of Art Paintings. IEEE Transactions on Multimedia (2020)

    * Yingying Deng, Fan Tang, Weiming Dong, Wen Sun, Feiyue Huang, Changsheng Xu: Arbitrary Style Transfer via Multi-Adaptation Network. ACM Multimedia 2020 [Paper]

    * Huaiyu Li, Weiming Dong, Bao-Gang Hu: Incremental Concept Learning via Online Generative Memory Recall. IEEE Transactions on Neural Networks and Learning Systems (2020)

    * Kekai Sheng, Weiming Dong, Haibin Huang, Guohui Wang, Yong Zhang, Chongyang Ma, Bao-Gang Hu: Learning to Assess Visual Aesthetics of Food Images. Computational Visual Media (2020) [Data & Code]

    * Xingjia Pan, Fan Tang, Weiming Dong, Yang Gu, Zhichao Song, Yiping Meng, Pengfei Xu, Oilver Deussen, Changsheng Xu: Self-Supervised Feature Augmentation for Large Image Object Detection. IEEE Transactions on Image Processing 29: 6745-6758 (2020)

    * Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, Changsheng Xu: Dynamic Refinement Network for Oriented and Densely PackedObject Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020: 11204-11213 (Oral) [Paper][Data & Code]

    * Minxuan Lin, Yingying Deng, Fan Tang, Weiming Dong, Changsheng Xu:  Multi-Attribute Guided Painting Generation. The 2nd IEEE Workshop on Artificial Intelligence for Art Creation (AIART) 2020: 400-403 [Paper]

    * Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma: Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2020: 5709-5716 (Spotlight) [Paper]

    * Xingjia Pan, Fan Tang, Weiming Dong, Chongyang Ma, Yiping Meng, Feiyue Huang, Tong-Yee Lee, Changsheng Xu: Content-Based Visual Summarization for Image Collections. IEEE Transactions on Visualization and Computer Graphics  (2020) [Project Page]

    * Fan Tang, Weiming Dong, Yiping Meng, Chongyang Ma, Fuzhang Wu, Xinrui Li, Tong-Yee Lee: Image Retargetability. IEEE Transactions on Multimedia 22(3): 641-654 (2020) [Project Page]

    * Shudan Wang, Liang Sun, Weiming Dong, Yong Zhang: Food Photo Enhancer of One Sample Generative Adversarial Network. ACM Multimedia Asia 2019: 51:1-51:8

    * Yu Song, Fan Tang, Weiming Dong, Feiyue Huang, Changsheng Xu: Balance-Based Photo Posting. SIGGRAPH ASIA (Posters) 2019: 20:1-20:2

    * Huaiyu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu: LGM-Net: Learning to Generate Matching Networks for Few Shot Learning. International Conference on Machine Learning (ICML) 2019: 3825-3834 [Code]

    * Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji: Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019: 3457-3466

    * Yingying Deng, Fan Tang, Weiming Dong, Fuzhang Wu, Oliver Deussen, Changsheng Xu: Selective clustering for representative paintings selection. Multimedia Tools and Applications 78(14): 19305–19323 (2019)

    * Fuzhang Wu, Yan Kong, Weiming Dong, Yanjun Wu: Gradient-aware blind face inpainting for deep face verification. Neurocomputing331: 301-311 (2019)

    * Yucheng Zhao, Fan Tang, Weiming Dong, Feiyue Huang, Xiaopeng Zhang: Joint face alignment and segmentation via deep multi-task learning. Multimedia Tools and Applications 78(10): 13131–13148 (2019)

    * Fan Tang, Weiming Dong, Yiping Meng, Xing Mei, Feiyue Huang, Xiaopeng Zhang, Oliver Deussen: Animated Construction of Chinese Brush Paintings. IEEE Transactions on Visualization and Computer Graphics 24(12): 3019-3031 (2018) [Project Page]

    * Kekai Sheng, Weiming Dong, Haibin Huang, Chongyang Ma, Bao-Gang Hu: Gourmet photography dataset for aesthetic assessment of food images. SIGGRAPH Asia Technical Briefs 2018: 20:1-20:4 [Data & Code]

    * Yu Song, Fan Tang, Weiming Dong, Xiaopeng Zhang, Oliver Deussen, Tong-Yee Lee. Photo Squarization by Deep Multi-Operator Retargeting. ACM Multimedia 2018: 1047-1055

    * Kekai Sheng, Weiming Dong, Chongyang Ma, Xing Mei, Feiyue Huang, Bao-Gang Hu. Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment. ACM Multimedia 2018: 879-886 [Data & Code]

    * Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji: Weakly-supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018: 2314-2323

    * Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji: Classifier Learning with Prior Probabilities for Facial Action Unit Recognition.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018: 5108-5116

    * Yong Zhang, Rui Zhao, Weiming Dong, Bao-Gang Hu, Qiang Ji: Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018: 7034-7043

    * Huaiyu Li, Weiming Dong, Bao-Gang Hu: Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks. Journal of Computer Science and Technology 33(3): 511-521 (2018)

    * Kekai Sheng, Weiming Dong, Wei Li, Joseph Razik, Feiyue Huang, Bao-Gang Hu: Centroid-aware local discriminative metric learning in speaker verification. Pattern Recognition 72: 176-185 (2017)

    * Yingying Deng, Fan Tang, Weiming Dong, Hanxing Yao, Bao-Gang Hu: Style-oriented representative paintings selection. SIGGRAPH ASIA (Posters) 2017: 12:1-12:2

    * Xingjia Pan, Juntao Ye, Fan Tang, Weiming Dong, Feiyue Huang, Xiaopeng Zhang: Content-based measure of image set diversity.SIGGRAPH ASIA (Posters) 2017: 43:1-43:2

    * Jia Liu, Weiming Dong, Xiaopeng Zhang, Zhiguo Jiang: Orientation judgment for abstract paintings. Multimedia Tools and Applications76(1): 1017-1036 (2017)

    * Yong Zhang, Weiming Dong, Chongyang Ma, Xing Mei, Ke Li, Feiyue Huang, Bao-Gang Hu, Oliver Deussen: Data-Driven Synthesis of Cartoon Faces Using Different Styles. IEEE Transactions on Image Processing 26(1): 464-478 (2017)

    * Weiming Dong, Fuzhang Wu, Yan Kong, Xing Mei, Tong-Yee Lee, Xiaopeng Zhang: Image Retargeting by Texture-Aware Synthesis.IEEE Transactions on Visualization and Computer Graphics 22(2): 1088-1101 (2016)

    * Haiyong Jiang, Liangliang Nan, Dong-Ming Yan, Weiming Dong, Xiaopeng Zhang, Peter Wonka: Automatic Constraint Detection for 2D Layout Regularization. IEEE Transactions on Visualization and Computer Graphics 22(8): 1933-1944 (2016)

    * Yan Kong, Weiming Dong, Xing Mei, Chongyang Ma, Tong-Yee Lee, Siwei Lyu, Feiyue Huang, Xiaopeng Zhang: Measuring and Predicting Visual Importance of Similar Objects. IEEE Transactions on Visualization and Computer Graphics 22(12): 2564-2578 (2016)

    * Fuzhang Wu, Weiming Dong, Yan Kong, Xing Mei, Dong-Ming Yan, Xiaopeng Zhang, Jean-Claude Paul: Feature-aware natural texture synthesis. The Visual Computer 32(1): 43-55 (2016)

    * Yiping Meng, Fan Tang, Weiming Dong, Xiaopeng Zhang: Optimal character composing for Chinese calligraphic artwork. SIGGRAPH Asia Posters 2016: 25

    * Kekai Sheng, Weiming Dong, Yan Kong, Xing Mei, Jilin Li, Chengjie Wang, Feiyue Huang, Bao-Gang Hu: Evaluating the Quality of Face Alignment without Ground Truth. Computer Graphics Forum 34(7): 213-223 (2015)

    * Xing Mei, Weiming Dong, Bao-Gang Hu, Siwei Lyu: UniHIST: A unified framework for image restoration with marginal histogram constraints. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015: 3753-3761

    * Fuzhang Wu, Dong-Ming Yan, Weiming Dong, Xiaopeng Zhang, Peter Wonka: Inverse Procedural Modeling of Facade Layouts. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 33(4): 121:1-121:10 (2014)

    * Weiming Dong, Ning Zhou, Tong-Yee Lee, Fuzhang Wu, Yan Kong, Xiaopeng Zhang: Summarization-Based Image Resizing by Intelligent Object Carving. IEEE Transactions on Visualization and Computer Graphics, 20(1): 111-124 (2014)

    * Dengwen Zhou, Weiming Dong, Wengang Chen. Joint demosaicking and zooming using moderate spectral correlation and consistent edge map. Journal of Electronic Imaging 23(4): 034310 (2014)

    * Yong Zhang, Weiming Dong, Oliver Deussen, Feiyue Huang, Ke Li, Bao-Gang Hu: Data-driven face cartoon stylization. SIGGRAPH ASIA Technical Briefs 2014: 14:1-14:4

    * Fuzhang Wu, Weiming Dong, Yan Kong, Xing Mei, Jean-Claude Paul, Xiaopeng Zhang: Content-Based Colour Transfer. Computer Graphics Forum 32(1): 190-203 (2013)

    * Yan Kong, Weiming Dong, Xing Mei, Xiaopeng Zhang, Jean-Claude Paul: SimLocator: robust locator of similar objects in images. The Visual Computer 29(9): 861-870 (2013)

    * Xing Mei, Xun Sun, Weiming Dong, Haitao Wang, Xiaopeng Zhang: Segment-Tree Based Cost Aggregation for Stereo Matching. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013: 313-320

    * Dengwen Zhou, Xiaoliu Shen, Weiming Dong: Image zooming using directional cubic convolution interpolation. IET Image Processing(6): 627–634 (2012)

    * Weiming Dong, Guan-Bo Bao, Xiaopeng Zhang, Jean-Claude Paul: Fast Multi-Operator Image Resizing and Evaluation. Journal of Computer Science and Technology 27(1): 121-134 (2012)

    * Dengwen Zhou, Xiaoliu Shen, Weiming Dong: Colour demosaicking with directional filtering and weighting. IET Image Processing6(8): 1084–1092 (2012)

    * Weiming Dong, Guanbo Bao, Xiaopeng Zhang, Jean-Claude Paul: Fast Local Color Transfer via Dominant Colors Mapping. SIGGRAPH ASIA Technical Sketches 2010: 46:1-46:2

    * Weiming Dong, Ning Zhou, Jean-Claude Paul, Xiaopeng Zhang: Optimized image resizing using seam carving and scaling. ACM Transactions on Graphics 28(5): 125:1-125:10 (2009) 

    * Weiming Dong, Ning Zhou, Jean-Claude Paul: Robust tile-based texture synthesis using artificial immune system. Neural Computing and Applications 18(3): 223-235 (2009)

    * Weiming Dong, Ning Zhou, Jean-Claude Paul. Perspective-aware texture analysis and synthesis. The Visual Computer 24(7-9): 515-523 (2008)

    发表著作

    ( 1 ) 趣味程序导学Visual C++, Learning Visual C++ through Interesting Programms, 清华大学出版社, 2002-06, 第 1 作者

    专利成果

    ( 1 ) 一种基于多层嵌套笼体的实时交互式图像变形方法, 发明, 2013, 第 3 作者, 专利号: CN 102496140 B
    ( 2 ) 三维水墨动画的制作方法, 发明, 2014, 第 3 作者, 专利号: CN 102496177 B
    ( 3 ) 一种对点云数据进行全局参数化和四边形网格化方法, 发明, 2010, 第 4 作者, 专利号: PCT/ CN2009/001591
    ( 4 ) 基于颜色空间分布的颜色传递方法, 发明, 2013, 第 1 作者, 专利号: CN 102521807 B
    ( 5 ) 一种边相关的联合彩色去马赛克和放大方法, 发明, 2015, 第 3 作者, 专利号: CN 103347190 B
    ( 6 ) 基于深度检索的树木建模方法, 发明, 2012, 第 4 作者, 专利号: CN 101847267 B
    ( 7 ) 基于自适应阈值调整拒识子空间学习的人脸检测方法, 发明, 2015, 第 2 作者, 专利号: 201510811406.2
    ( 8 ) 一种装配体的自动拆卸方法, 发明, 2016, 第 5 作者, 专利号: ZL201310225943.X
    ( 9 ) 一种人脸关键点位定位结果的评估方法,及评估装置, 发明, 2017, 第 5 作者, 专利号: CN104966046B
    ( 10 ) 图像处理方法和装置, 发明, 2019, 第 5 作者, 专利号: CN 201410505493.4

    科研项目

    1. 腾讯优图实验室,“优图研究”联合项目第七期,2019/08-2020/09

    2. 远鉴科技,图像内容合成与质量评价,2019/08-2020/07

    3. 腾讯优图实验室,“优图研究”联合项目第六期,2018/08-2019/07

    4. 国家自然科学基金重点项目,基于视觉认知的可视媒体合成与评价,2019/01-2023/12

    5. 国家重点研发计划,社会安全事件智能监测与预警关键技术与装备,2018/7-2020/6

    6. 中科院自动化所-亮亮视野“第一视角计算”联合实验室,2018/7-2021/6

    7. 咪咕视频,视频精细化标签AI能力定制,2018/8-2019/7

    8. 腾讯优图实验室,“优图研究”联合项目第五期,2017/08-2018/07

    9. 中国科学院,卢嘉锡国际合作团队项目,2018/01-2020/12

    10. 国家自然科学基金面上项目,数据驱动的图像合成,2017/01-2020/12
    11. 北京市自然基金面上项目,单图像超分辨率技术与应用,2016/01-2018/12
    12. 腾讯,“优图研究”联合项目第四期,2016/08-2017/07
    13. 爱奇艺,视频智能编辑创作系统,2016/02-2016/12
    14. 腾讯,“优图研究”联合项目第三期,2015/08-2016/07
    15. 核高基重大专项课题分任务,开源操作系统内核分析和安全性评估:基于人脸识别的关键应用程序保护,2015/04-2015/12
    16. 腾讯,“优图研究”联合项目第二期,2014/08-2015/07
    17. 国家自然科学基金面上项目,基于梯度场的计算成像和恢复技术,2014/01-2017/12
    18. 腾讯,“优图研究”联合项目第一期,2013/08-2014/07
    19. 国家自然科学基金面上项目,基于语义的图像合成,2012/01-2015/12
    20. 国家高技术研究发展计划(863)项目,3D内容视觉获取技术及设备,2012/01-2014/12
    21. 北京市自然基金面上项目,内容相关的图像合成研究与应用,2011/01-2013/12
    22. 法国国家科研署国际合作项目,Shape Modeling: New theories and new algorithms,2010/01-2012/12
    23. 企业委托(上海市科技信息中心),个性化影视动漫制作关键技术研发,2009/12-2010/11
    24. 国家自然科学基金面上项目,外形信息理解的技术基础,2009/01-2011/12
    25. 中国博士后科学基金特别资助,基于图像的植物建模与绘制,2008/11-2009/10
    26. 教育部留学归国人员启动基金,自然景物建模与渲染中的若干问题研究,2008/08-2010/07
    27. 中国博士后科学基金面上项目,真实植物场景数字化与可视化,2008/08-2009/07
    28. 科技部国际合作项目,自然植被景观的动态演变模拟与应用,2007/09-2010/

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