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黄 永 祯     博士

Dr. Yongzhen Huang

 

智能感知与计算中心,模式识别国家重点实验室

中国科学院自动化研究所,中国,北京,100190

电话: 010-82544642  传真: 010-82544594

邮箱: yzhuang at nlpr.ia.ac.cn

黄永祯,男,1983年11月生于湖南资兴。2006年毕业于华中科技大学,获学士学位。2011年毕业于中国科学院自动化研究所,获博士学位。2011年7月作为助理研究员任职于中国科学院自动化研究所,2013年11月成为副研究员,2015年入选中科院脑科学与智能技术卓越创新中心,2015年入选中科院青年促进会。

研究方向包括计算机视觉、模式识别、机器学习以及可计算视觉认知。出版英文专著1部,在国际权威期刊和会议上发表接收学术论文约50篇,包括IEEE TPAMI, IEEE TSMC-B, IEEE TCSVT, IEEE TMM, Neurocomputing, CVPR, ICCV, NIPS, BMVC, ICIP, ICPR等,申请国内外专利约20项,获得10多项荣誉和奖励,如中国人工智能学会优秀博士论文(全国共5篇),中国计算机视觉最佳学生论文,中国专利优秀奖,蝉联国际著名的PASCAL VOC竞赛2010、2011年目标检测冠军和目标分类亚军,2013年中国云移动互联网人形图像分割大赛冠军和特别奖(¥230,000),2015年国际低功耗图像识别竞赛亚军和最低功耗冠军等。

目前为美国电气和电子工程师协会(IEEE)会员,任国际期刊Neurocomputing副主编,国际会议AVSS2012和国内会议CCPR2012宣传主席,6个国际会议的程序委员会委员,20多个国际期刊和会议的审稿人。

 
教育和工作经历:
  • 2002.9-2006.6:华中科技大学,控制科学与工程系,自动化专业,获学士学位
  • 2006.9-2011.6:中国科学院自动化研究所,模式识别国家重点实验室,模式识别与智能系统专业,获博士学位,导师:谭铁牛院士
  • 2011.7-2013.11:助理研究员,中国科学院自动化研究所
  • 2013.11-至今:副研究员,中国科学院自动化研究所
  • 2015.08-至今:年轻骨干,中国科学院脑科学与智能技术卓越创新中心
 
主要科研项目情况:
  • 负责人:基于物体窗口深度表达的目标分类与检测, 2016.1~2019.12, 国家自然科学基金面向项目,78.8万。
  • 负责人:基于特征结构关系的目标分类研究,2013.1~2015.12,国家自然科学青年基金,24万。
  • 负责人: 基于局部特征关系的目标识别研究,2012.1~2013.12,清华信息科学与技术国家实验室学科交叉专项重点项目,50万。
  • 负责人:基于非欧氏空间的视觉计算理论与方法,2012.1~2016.12,国家自然科学基金重点项目子课题,50万。
  • 负责人:基于深度学习的数据集自动生成,2016.01-2017.01,华为技术有限公司,51.6万。
  • 负责人:移动平台下的高精度人形分割研究,2014.10-2016.04,三星全球科研基金第一期(PC端),63万。
  • 负责人:移动平台下的高精度人形分割研究,2015.12-2016.11,三星全球科研基金第二期(嵌入式端),63万。
  • 负责人:基于深度学习的物体识别,2015.03-2016.09,奇虎360公司,60万。
  • 负责人: 基于深度学习的目标检测研究,2014.10~2015.4,CCF-腾讯犀牛鸟基金,10万。
  • 负责人:智能服装检索,2015.10~2016.10,30万。
  • 负责人: 安检X光图像中的目标检测方法测试,2015.03~2015.6,北京科岳中科科技服务有效公司,10万。
  • 负责人: 基于深度学习的人形分割、识别与姿态估计,2015.08~2016.08,国家重点实验室开放基金课题,5万。
  • 共同负责人:基于2D/3D融合的物体识别方法研究,2013.01~2014.12,模式识别国家重点实验室开放课题,6万。
  • 共同负责人:基于深度学习的目标检测研究,2014.01~2015.12,模式识别国家重点实验室开放课题,5万。
  • 共同负责人:基于深度学习的视频行为识别研究,2015.01~2016.12,模式识别国家重点实验室开放课题,5万。
  • 学术骨干:认知的基本单元,2012.1~2016.12,973项目,1549万(前两年)。
 
荣誉及奖励:
  • 入选中科院创新促进会,2015
  • 最佳学生论文奖,中国计算机视觉大会,2015
  • 国际低功耗目标识别竞赛亚军、最低功耗奖,2015
  • 腾讯犀牛鸟优秀奖,2015
  • 三星GRO (Global Research Outreach) Award(10万美元),2014
  • 中国云移动互联网人形图像分割大赛冠军、特别奖 (23万元),2013
  • 中国人工智能学会优秀博士论文(全国5篇),2012
  • 国际PASCAL VOC目标检测竞赛冠军,2010、2011
  • 国际PASCAL VOC目标分类竞赛亚军,2010、2011
  • 宝钢全国优秀学生奖,2011
  • 中科院研究生院三好学生标兵,2011
  • 北京市发明专利奖二等奖,2011
  • 中国专利优秀奖,2010
 
专利:
  • 谭铁牛,黄凯奇,黄永祯,Shape Classification Method Based on the Topological Perceptual Organization Theory,授权号:PCT/CN2010/000684,2014
  • 黄凯奇,谭铁牛,黄永祯,王冲,一种基于泛化视觉词典图编码的目标识别方法,授权号: ZL201210021813.X,2014
  • 谭铁牛,黄凯奇,黄永祯,基于拓扑知觉组织理论的形状图像分类方法,授权号:ZL201080003725.6, 2013
  • 谭铁牛,黄凯奇,王亮生,王时全,黄永祯,一种基于规则的全天候智能视频分析监控方法,授权号:ZL200710064387.7,2009
  • 王亮,黄永祯,刘锋,一种基于空间共聚集的空间信息建模方法,申请号:201210560743.5,2012
  • 谭铁牛,王亮,黄永祯,吴子丰,基于自适应空间信息有向图的图像分类方法,申请号:201210409976.5,2013
  • 王亮,黄永祯,唐微,一种基于在线学习的局部可形变目标检测方法,申请号:国内201310180039.1,国际PCT/CN2013/075637,2013
  • 王亮,谭铁牛,黄永祯,赵放,一种基于无向主题模型的紧凑视频主题描述子,申请号:国内PCT/CN2013/077877,国际PCT/CN2013/077877,2013
  • 谭铁牛,王亮,黄永祯,周振,一种基于深度信息的图像分类方法,申请号:201310178645.X,2013
  • 谭铁牛,王亮,黄永祯,宋纯锋,基于深度学习的聚类方法,申请号:201310530626.9,2013
  • 王亮,黄永祯,夏昱,一种基于增量学习的行人检测方法,申请号:201310180015.6,2013
  • 王亮,谭铁牛,黄永祯,赵放,一种利用相关主题模型识别社会群体行为的方法,申请号:201310562450.5,2013
  • 谭铁牛,王亮,黄永祯,周振,一种基于拓扑表达的跨视角步态识别方法,申请号:201410064937.5,2014
  • 王亮,黄永祯,曹迪,一种抵抗形变的图像匹配方法,申请号:201410373199.2,2014
  • 谭铁牛,黄永祯,王亮,吴子丰,基于多尺度上下文深度学习的人形图像分割方法,申请号:国内201480000254.1,国际PCT/CN2014/078282,2014
  • 谭铁牛,王亮,黄永祯,吴子丰,基于深度学习的步态识别方法,申请号:国内201410587758.X,国际PCT/CN2014/089698,2014
  • A Human Segmentation Method Based on the Deep Convolutional Neural Networks, 2015提交
  • 王亮,黄永祯,张凯皓,一种基于卷积神经网络的人脸亲属关系识别方法,2015提交
  • 王亮,黄永祯,张凯皓,一种基于卷积神经网络的人脸检测方法,2015提交
  • 王亮,黄永祯,张凯皓,一种基于卷积神经网络的笑脸识别方法,2015提交
 
学术活动:

编委

  • 副主编, Neurocomputing, 2014.07 - 2017.07, ISSN: 0925-2312

会议组织

  • 宣传主席,第九届国际高级视频和信号监控大会(the 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS2012)
  • 宣传主席,第三届中国模式识别大会(the 3th Chinese Conference on Pattern Recognition, CCPR2012)

程序委员会委员

  • 第31届IEEE计算机视觉与模式识别大会(The 31th IEEE Conference on Computer Vision and Pattern Recognition, CVPR2013)
  • 第20~23届国际模式识别大会(The 20th International Conference on Pattern Recognition, ICPR2010~2016)
  • 2012年国际计算、网络与通信大会(International  Conference  on  Computing, Networking and Communication, ICNC2012)
  • 第三届中国模式识别大会(The 3th Chinese Conference on Pattern Recognition, CCPR2012)

会员/成员

  • 会员, 美国电气和电子工程师协会(Institute of Electrical and Electronic Engineers, IEEE)
  • 会员, 中国计算机学会(China Computer Federation, CCF)
  • 委员,中国计算机学会计算机视觉专委会
  • 委员,中国人工智能学会模式识别专委会
 
论著:

Book

  • Yongzhen Huang and Tieniu Tan, Feature coding for Image Representation and Recognition, Springer, invited book, 2014

Tutorial

  • Yongzhen Huang, Liang Wang and Tieniu Tan, Feature Coding for Visual Recognition, Tutorial of International Conference on Pattern Recognition (ICPR Tutorial), 2014. [PDF]

Journal articles

  • Yongzhen Huang , Zifeng Wu, Liang Wang and Tieniu Tan. Feature Coding in Image Classification: A Comprehensive Study. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2014, 36(3), 493-506. [Paper] [Figs] [Code Download1] [Code Download2]
  • Yongzhen Huang , Kaiqi Huang, Dacheng Tao, Xuelong Li and Tieniu Tan. Enhanced Biologically Inspired Model for Object Recognition. IEEE Transaction on Systems, Man and Cybernetics, Part B (TSMC-B),2011, 41(6), 1668-1680.
  • Zifeng Wu, Yongzhen Huang, and Liang Wang, Learning Representative Deep Features for Image Set Analysis, IEEE Transactions on Multimedia (TMM), accepted, 2015.
  • Jianwei Ding, Yongzhen Huang, Wei Liu, and Kaiqi Huang, Severely Blurred Object Tracking by Learning Deep Image Representations, IEEE Transactions on Circuits and System for Video Technology (TCSVT), accepted, 2015.
  • Yongzhen Huang, Zifeng Wu, Liang Wang, and Chunfeng Song, Multiple Spatial Pooling for Visual Object Recognition, Neurocomputing (NEUCOM), 2014, 129, 225-231.
  • Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang, Changyin Sun, Spatial Modeling Via Feature Co-pooling and SG Grafting, Neurocomputing (NEUCOM), 2014, 139, 415-422.
  • Jingyu Liu, Yongzhen Huang, Liang Wang, Shu Wu, Hierarchical Feature Coding for Image Classification, Neurocomputing (NEUCOM), accepted, 2014.
  • Jianwei Ding, Yunqi Tang, Wei Liu, Yongzhen Huang, Kaiqi Huang,Tracking by Local Structural Manifold Learning in a New SSIR Particle Filter, Neurocomputing (NEUCOM), accepted.
  • Chunfeng Song, Yongzhen Huang, Feng Liu, Zhenyu Wang and Liang Wang, Deep Auto-encoder Based Clustering, Intelligent Data Analysis (IDA), 2015, 18, 65-76.
  • Jianwei Ding, Yunqi Tang, Huawei Tian, Wei Liu, Yongzhen Huang, Robust Tracking with Adaptive Appearance Learning and Occlusion Detection, Multimedia Systems, accepted, 2015.

Conference articles

  • Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan and Xuelong Li, Enhanced Biologically Inspired Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  • Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan, Salient Coding for Image Classification, IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2011.
  • Yongzhen Huang, Kaiqi Huang, Chong Wang, Tieniu Tan, Exploring Visual Words’ relation for Image Classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. 
  • Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan, Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval, (CVPR), 2015. [Paper] [Code Download]
  • Chunshui Cao, Yongzhen Huang et al., Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks, IEEE Conference on Computer Vision (ICCV), 2015.
  • Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan, Relevance Topic Model for Unstructured Social Group Activity Recognition, Annual Conference on Neural Information Processing Systems (NIPS), 2013.
  • Kaihao Zhang, Yongzhen Huang, Liang Wang, Kinship Verification with Deep Convolutional Neural Networks, British Machine Vision Conference (BMVC), 2015.
  • Wei Tang, Yongzhen Huang, Liang Wang, 1000 fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder, Chinese Conference on Computer Vision (CCCV, Best Student Paper), 2015.
  • Yongzhen Huang, Kaiqi Huang, Tieniu Tan, A Heuristic Deformable Pedestrian Detection Method, Asian Conference on Computer Vision (ACCV), 2010.
  • Yongzhen Huang, Kaiqi Huang, Tieniu Tan, Computational Primitives of Visual Perception, IEEE Conference on Image Processing (ICIP), 2009.
  • Yongzhen Huang, Kaiqi Huang, Tieniu Tan and Dacheng Tao, A Novel Visual Organization based on Topological Perception, Asian Conference on Computer Vision (ACCV, Oral), 2009.
  • Kaihao Zhang, Yongzhen Huang, and Liang Wang, Facial Smile Detection Based on Deep Learning Features, Asian Conference on Pattern Recognition (ACPR, Oral), 2015.
  • Yung-Hsiang Lu, Yongzhen Huang, et al., Rebooting Computing and Low-Power Image Recognition Challenge, International Conference on Computer Aided Design (ICCAD, Invited Paper), 2015.
  • Tieniu Tan, Yongzhen Huang, Junge Zhang, Recent progress on object classification and detection, 18th Iberoamerican Congress on Pattern Recognition (CIARP, Invited Paper), 2013.
  • Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan, Discovering Compact Topical Descriptors for Web Video Retrieval, International Conference on Image Processing (ICIP, Oral), 2013.
  • Feng Liu, Yongzhen Huang, Liang Wang, and Wankou Yang, Boosting Deformable Part Model by Sample Sharing and Outlier Ablation, International Conference on Intelligent Science and Intelligent Data Engineering (IScIDE, Oral), 2013.
  • Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, and Tieniu Tan, Auto-encoder Based Data Clustering, 18th Iberoamerican Congress on Pattern Recognition, (CIAPR oral),  2013.[Paper] [Code Download1] [Code Download2]
  • Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan, Group Encoding of Local Features in Image Classification, International Conference on Pattern Recognition (ICPR, Oral), 2012.
  • Junge Zhang, Xin Zhao, Yongzhen Huang, Kaiqi Huang, Tieniu Tan, Semantic Windows Mining in Sliding Window Based Object Detection, International Conference on Pattern Recognition (ICPR, Oral), 2012.
  • Yeyin Zhang, Kaiqi Huang, Yongzhen Huang, Tieniu Tan, View-Invariant Action Recognition Using Cross Ratios Across Frames, IEEE Conference on Image Processing (ICIP), 2009.
  • Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tieniu Tan, Object Detection and Tracking for Night Surveillance Based on Salient Contrast, IEEE Conference on Image Processing (ICIP), 2009.
  • Jianwei Ding, Yongzhen Huang, Kaiqi Huang and Tieniu Tan, Robust Object Tracking via online Learning of Adaptive Appearance Manifold, ICCV Workshop on Visual Surveillance (ICCV-VS), 2011.
  • Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan, Contextual Pooling in Image Classification, Asian Conference on Computer Vision (ACCV), 2012.
  • Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan, Spatial Graph for Image Classification, Asian Conference on Computer Vision (ACCV), 2012.
  • Weiqiang Ren, Yongzhen Huang, Kaiqi Huang and Tieniu Tan, Local Hyper sphere Coding Based on Edges between Visual Words, Asian Conference on Computer Vision (ACCV), 2012.
  • Junge Zhang, Yongzhen Huang, Kaiqi Huang, Zifeng Wu, Tieniu Tan, Data Decomposition and Spatial Mixture Modeling for Part based Model, Asian Conference on Computer Vision (ACCV), 2012.
  • Xin Zhao, Yinan Yu, Yongzhen Huang, Kaiqi Huang and Tieniu Tan, Feature Coding via Vector Difference for Image Classification, International Conference on Image Processing (ICIP), 2012.
  • Yinan Yu, Weiqiang Ren, Yongzhen Huang, Kaiqi Huang, Tieniu Tan, CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus, Advanced Video and Signal-Based Surveillance (AVSS), 2012.
  • Zhen Zhou, Yongzhen Huang, Liang Wang and Tieniu Tan, Depth-embedded Multiple Pooling for Image Classification, International Conference on Image Processing (ICIP), 2013.
  • Yu Xia, Yongzhen Huang, Liang Wang, and Xin Geng, Pedestrian Detection Based on Incremental Learning, International Conference on Intelligent Science and Intelligent Data Engineering (IScIDE), 2013.
  • Shiqi Yu, Qing Wang, and Yongzhen Huang, A Large RGB-D Gait Dataset and the Baseline Algorithm, Chinese Conference on Biometrics Recognition (CCBR), 2013.
  • Zifeng Wu, Yongzhen Huang, Liang Wang and Tieniu Tan, Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation, International Conference on Pattern Recognition (ICPR), 2014.
  • Di Miao, Zhenan Sun, Yongzhen Huang, Fusion of Multibiometrics Based on A New Robust Linear Programming, International Conference on Pattern Recognition (ICPR), 2014.
  • Muhammad Rauf, Yongzhen Huang and Liang Wang, Encoding Optimization Using Nearest Neighbor Descriptor, Chinese Conference on Pattern Recognition (CCPR), 2014.
  • Jianwei Ding, Yunqi Tang, Huawei Tian, and Yongzhen Huang, Robust Appearance Learning for Object Tracking in Challenging Scenes, Chinese Conference on Pattern Recognition (CCPR), 2014.
  • Feng Liu, Yongzhen Huang, Wankou Yang, and Changyin Sun, High-level Spatial Modeling in Convolutional Neural Network with Application to Pedestrian Detection, IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2015.
  • Jingyu Liu, Yongzhen Huang, Xiaojiang Peng and Liang Wang, Multi-view Descriptor Mining Via Codeword Net for Action Recognition, IEEE Conference on Image Processing (ICIP), 2015.
  • Chunfeng Song, Yongzhen Huang, and Liang Wang, A Comprehensive Study of Full Image Human Segmentation with Deep Convolutional Neural Networks, Asian Conference on Pattern Recognition (ACPR), 2015.

Invited talk

  • Yinan Yu, Junge Zhang, Yongzhen Huang, Shuai Zheng, Weiqiang Ren, Chong Wang, Kaiqi Huang, Tieniu Tan, Object Detection by Context and Boosted HOG-LBP, ECCV Workshop on PASCAL Visual Object Classes Challenge (ECCV-VOC, invited talk) , 2010.
  • Junge Zhang, Yinan Yu, Yongzhen Huang, Chong Wang, Weiqiang Ren, Jinchen Wu, Kaiqi Huang, Tieniu Tan, Object Detection based on Data Decomposition, Spatial Mixture Modeling and Context, ICCV Workshop on PASCAL Visual Object Classes Challenge (ICCV-VOC, invited talk), 2011.
    注:VOC为目标分类与检测的国际权威竞赛,申请人作为骨干蝉联2010、2011年目标检测冠军和目标分类亚军,获邀在ECCV和ICCV的workshop上做报告。
数据库:



Dr. Yongzhen Huang received his B.E. degree from Huazhong University of Science and Technology (HUST) in 2006, and his Ph.D. degree from Institute of Automation, Chinese Academy of Sciences (CASIA) in 2011. Then he joined National Laboratory of Pattern Recognition (NLPR) as an Assistant Professor in July 2011, and became an Associated Professor since Nov. 2013.

His research interests include computer vision, pattern recognition, machine learning, and computational visual cognition. He has published one book and more than 50 papers in international journals and conferences such as IEEE TPAMI, IEEE TMSC-B, IEEE TCSVT, TMM, Neurocomputing, CVPR, ICCV, NIPS, ICPR, ICIP. He has obtained several honors and awards, including the Excellent Doctoral Thesis of Chinese Association for Artificial Intelligence (2012), the Best Student Paper of Chinese Conference on Computer Vision (2015), the Champion of PASCAL VOC Challenges on object detection (2010 and 2011), the Runner-up of PASCAL VOC Challenges on object classification (2011), and the Champion of Internet Contest for Cloud & Mobile Computing on Human Segmentation with 230,000RMB (2013), the Second Prize and the Prize of Highest Accuracy with Low Energy in LPIRC (Low-Power Image Recognition Challenge) (2015).

Dr. Huang is currently a member of IEEE. He has served as Associate Editor of Neurocomputing, the web chair of AVSS2012, the publicity chair of CCPR2012, the program committee member of 6 conferences, and the peer reviewer of over 20 journals and conferences.

 
Qualifications & Working Experiences:
  • 2002.9-2006.6: Bachelor of Automation Control, Department of Control Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China
  • 2006.9-2011.6: PhD in Pattern Recognition and Intelligent System, National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China (Supervisor: Prof. Tieniu Tan
  • 2011.7-2013.11: Assistant Professor in NLPR, CASIA, Beijing, China
  • 2013.11-now: Associated Professor in NLPR, CASIA, Beijing, China
  • 2015.08-now: Member, CAS Center for Excellence in Brain Science and Intelligence Technology, (CEBSIT)
 
Hornors & Awards:
  • Best Student Paper, Chinese Conference on Computer Vision, 2015
  • Low Power Image Recognition Challenge, Second Prize, 2015
  • Low Power Image Recognition Challenge, Prize of Highest Accuracy with Low Energy, 2015
  • Tencent Rhino Bird Excellent Prize, 2015
  • Samsung GRO (Global Research Outreach) Award ($100,000), 2014
  • Internet Contest for Cloud & Mobile Computing on Human Segmentation, Champion, (230,000RMB), 2013
  • Excellent Doctoral Thesis of Chinese Association for Artificial Intelligence, 2012
  • PASCAL VOC Challenges on Object Detection, Winner, 2010
  • PASCAL VOC Challenges on Object Detection, Winner, 2011
  • PASCAL VOC Challenges on Object Classification, Honorable mention (Second Prize), 2011
  • Bao-Steel Education Scholarships Fund, 2011
  • The Second Prize of Beijing Patent Award, 2011
  • Chinese Excellent Patent Award, 2010
 
Professional Activities:

Membership

  • Member, IEEE (Institute of Electrical and Electronic Engineers)
  • Member, IEEE Computer Society
  • Member, CCF (China Computer Federation)
  • Committee Member, CCF YOCSEF (CCF Young Computer Scientists & Engineers Forum)

Editors/Editorial board member

  • Associate editor, Neurocomputing, 2014.03 -, ISSN: 0925-2312

Conference PC member

  • The 31th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2013)
  • The 20th International Conference on Pattern Recognition (ICPR2010)
  • The 21th International Conference on Pattern Recognition (ICPR2012)
  • The 22th International Conference on Pattern Recognition (ICPR2014)
  • International  Conference  on  Computing, Networking and Communication (ICNC2012)
  • The 3th Chinese Conference on Pattern Recognition (CCPR2012)

Conference organizer

  • Web chair of the 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS2012).
  • Publicity chair of the 3th Chinese Conference on Pattern Recognition (CCPR2012)
 
Publications:

Book

  • Yongzhen Huang and Tieniu Tan, Feature coding for Image Representation and Recognition, Springer, invited book, 2014

Tutorial

  • Yongzhen Huang, Liang Wang and Tieniu Tan, Feature Coding for Visual Recognition, Tutorial of International Conference on Pattern Recognition (ICPR Tutorial), 2014. [PDF]

Journal articles

  • Yongzhen Huang , Zifeng Wu, Liang Wang and Tieniu Tan. Feature Coding in Image Classification: A Comprehensive Study. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2014, 36(3), 493-506. [Paper] [Figs] [Code Download1] [Code Download2]
  • Yongzhen Huang , Kaiqi Huang, Dacheng Tao, Xuelong Li and Tieniu Tan. Enhanced Biologically Inspired Model for Object Recognition. IEEE Transaction on Systems, Man and Cybernetics, Part B (TSMC-B),2011, 41(6), 1668-1680.
  • Zifeng Wu, Yongzhen Huang, and Liang Wang, Learning Representative Deep Features for Image Set Analysis, IEEE Transactions on Multimedia (TMM), accepted, 2015.
  • Jianwei Ding, Yongzhen Huang, Wei Liu, and Kaiqi Huang, Severely Blurred Object Tracking by Learning Deep Image Representations, IEEE Transactions on Circuits and System for Video Technology (TCSVT), accepted, 2015.
  • Yongzhen Huang, Zifeng Wu, Liang Wang, and Chunfeng Song, Multiple Spatial Pooling for Visual Object Recognition, Neurocomputing (NEUCOM), 2014, 129, 225-231.
  • Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang, Changyin Sun, Spatial Modeling Via Feature Co-pooling and SG Grafting, Neurocomputing (NEUCOM), 2014, 139, 415-422.
  • Jingyu Liu, Yongzhen Huang, Liang Wang, Shu Wu, Hierarchical Feature Coding for Image Classification, Neurocomputing (NEUCOM), accepted, 2014.
  • Jianwei Ding, Yunqi Tang, Wei Liu, Yongzhen Huang, Kaiqi Huang,Tracking by Local Structural Manifold Learning in a New SSIR Particle Filter, Neurocomputing (NEUCOM), accepted.
  • Chunfeng Song, Yongzhen Huang, Feng Liu, Zhenyu Wang and Liang Wang, Deep Auto-encoder Based Clustering, Intelligent Data Analysis (IDA), 2015, 18, 65-76.
  • Jianwei Ding, Yunqi Tang, Huawei Tian, Wei Liu, Yongzhen Huang, Robust Tracking with Adaptive Appearance Learning and Occlusion Detection, Multimedia Systems, accepted, 2015.

Conference articles

  • Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan and Xuelong Li, Enhanced Biologically Inspired Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  • Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan, Salient Coding for Image Classification, IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2011.
  • Yongzhen Huang, Kaiqi Huang, Chong Wang, Tieniu Tan, Exploring Visual Words’ relation for Image Classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. 
  • Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan, Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval, (CVPR), 2015. [Paper] [Code Download]
  • Chunshui Cao, Yongzhen Huang et al., Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks, IEEE Conference on Computer Vision (ICCV), 2015.
  • Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan, Relevance Topic Model for Unstructured Social Group Activity Recognition, Annual Conference on Neural Information Processing Systems (NIPS), 2013.
  • Kaihao Zhang, Yongzhen Huang, Liang Wang, Kinship Verification with Deep Convolutional Neural Networks, British Machine Vision Conference (BMVC), 2015.
  • Wei Tang, Yongzhen Huang, Liang Wang, 1000 fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder, Chinese Conference on Computer Vision (CCCV, Best Student Paper), 2015.
  • Yongzhen Huang, Kaiqi Huang, Tieniu Tan, A Heuristic Deformable Pedestrian Detection Method, Asian Conference on Computer Vision (ACCV), 2010.
  • Yongzhen Huang, Kaiqi Huang, Tieniu Tan, Computational Primitives of Visual Perception, IEEE Conference on Image Processing (ICIP), 2009.
  • Yongzhen Huang, Kaiqi Huang, Tieniu Tan and Dacheng Tao, A Novel Visual Organization based on Topological Perception, Asian Conference on Computer Vision (ACCV, Oral), 2009.
  • Kaihao Zhang, Yongzhen Huang, and Liang Wang, Facial Smile Detection Based on Deep Learning Features, Asian Conference on Pattern Recognition (ACPR, Oral), 2015.
  • Yung-Hsiang Lu, Yongzhen Huang, et al., Rebooting Computing and Low-Power Image Recognition Challenge, International Conference on Computer Aided Design (ICCAD, Invited Paper), 2015.
  • Tieniu Tan, Yongzhen Huang, Junge Zhang, Recent progress on object classification and detection, 18th Iberoamerican Congress on Pattern Recognition (CIARP, Invited Paper), 2013.
  • Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan, Discovering Compact Topical Descriptors for Web Video Retrieval, International Conference on Image Processing (ICIP, Oral), 2013.
  • Feng Liu, Yongzhen Huang, Liang Wang, and Wankou Yang, Boosting Deformable Part Model by Sample Sharing and Outlier Ablation, International Conference on Intelligent Science and Intelligent Data Engineering (IScIDE, Oral), 2013.
  • Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, and Tieniu Tan, Auto-encoder Based Data Clustering, 18th Iberoamerican Congress on Pattern Recognition, (CIAPR oral),  2013.[Paper] [Code Download1] [Code Download2]
  • Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan, Group Encoding of Local Features in Image Classification, International Conference on Pattern Recognition (ICPR, Oral), 2012.
  • Junge Zhang, Xin Zhao, Yongzhen Huang, Kaiqi Huang, Tieniu Tan, Semantic Windows Mining in Sliding Window Based Object Detection, International Conference on Pattern Recognition (ICPR, Oral), 2012.
  • Yeyin Zhang, Kaiqi Huang, Yongzhen Huang, Tieniu Tan, View-Invariant Action Recognition Using Cross Ratios Across Frames, IEEE Conference on Image Processing (ICIP), 2009.
  • Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tieniu Tan, Object Detection and Tracking for Night Surveillance Based on Salient Contrast, IEEE Conference on Image Processing (ICIP), 2009.
  • Jianwei Ding, Yongzhen Huang, Kaiqi Huang and Tieniu Tan, Robust Object Tracking via online Learning of Adaptive Appearance Manifold, ICCV Workshop on Visual Surveillance (ICCV-VS), 2011.
  • Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan, Contextual Pooling in Image Classification, Asian Conference on Computer Vision (ACCV), 2012.
  • Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan, Spatial Graph for Image Classification, Asian Conference on Computer Vision (ACCV), 2012.
  • Weiqiang Ren, Yongzhen Huang, Kaiqi Huang and Tieniu Tan, Local Hyper sphere Coding Based on Edges between Visual Words, Asian Conference on Computer Vision (ACCV), 2012.
  • Junge Zhang, Yongzhen Huang, Kaiqi Huang, Zifeng Wu, Tieniu Tan, Data Decomposition and Spatial Mixture Modeling for Part based Model, Asian Conference on Computer Vision (ACCV), 2012.
  • Xin Zhao, Yinan Yu, Yongzhen Huang, Kaiqi Huang and Tieniu Tan, Feature Coding via Vector Difference for Image Classification, International Conference on Image Processing (ICIP), 2012.
  • Yinan Yu, Weiqiang Ren, Yongzhen Huang, Kaiqi Huang, Tieniu Tan, CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus, Advanced Video and Signal-Based Surveillance (AVSS), 2012.
  • Zhen Zhou, Yongzhen Huang, Liang Wang and Tieniu Tan, Depth-embedded Multiple Pooling for Image Classification, International Conference on Image Processing (ICIP), 2013.
  • Yu Xia, Yongzhen Huang, Liang Wang, and Xin Geng, Pedestrian Detection Based on Incremental Learning, International Conference on Intelligent Science and Intelligent Data Engineering (IScIDE), 2013.
  • Shiqi Yu, Qing Wang, and Yongzhen Huang, A Large RGB-D Gait Dataset and the Baseline Algorithm, Chinese Conference on Biometrics Recognition (CCBR), 2013.
  • Zifeng Wu, Yongzhen Huang, Liang Wang and Tieniu Tan, Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation, International Conference on Pattern Recognition (ICPR), 2014.
  • Di Miao, Zhenan Sun, Yongzhen Huang, Fusion of Multibiometrics Based on A New Robust Linear Programming, International Conference on Pattern Recognition (ICPR), 2014.
  • Muhammad Rauf, Yongzhen Huang and Liang Wang, Encoding Optimization Using Nearest Neighbor Descriptor, Chinese Conference on Pattern Recognition (CCPR), 2014.
  • Jianwei Ding, Yunqi Tang, Huawei Tian, and Yongzhen Huang, Robust Appearance Learning for Object Tracking in Challenging Scenes, Chinese Conference on Pattern Recognition (CCPR), 2014.
  • Feng Liu, Yongzhen Huang, Wankou Yang, and Changyin Sun, High-level Spatial Modeling in Convolutional Neural Network with Application to Pedestrian Detection, IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2015.
  • Jingyu Liu, Yongzhen Huang, Xiaojiang Peng and Liang Wang, Multi-view Descriptor Mining Via Codeword Net for Action Recognition, IEEE Conference on Image Processing (ICIP), 2015.
  • Chunfeng Song, Yongzhen Huang, and Liang Wang, A Comprehensive Study of Full Image Human Segmentation with Deep Convolutional Neural Networks, Asian Conference on Pattern Recognition (ACPR), 2015.

Invited talk

  • Yinan Yu, Junge Zhang, Yongzhen Huang, Shuai Zheng, Weiqiang Ren, Chong Wang, Kaiqi Huang, Tieniu Tan, Object Detection by Context and Boosted HOG-LBP, ECCV Workshop on PASCAL Visual Object Classes Challenge (ECCV-VOC, invited talk) , 2010.
  • Junge Zhang, Yinan Yu, Yongzhen Huang, Chong Wang, Weiqiang Ren, Jinchen Wu, Kaiqi Huang, Tieniu Tan, Object Detection based on Data Decomposition, Spatial Mixture Modeling and Context, ICCV Workshop on PASCAL Visual Object Classes Challenge (ICCV-VOC, invited talk), 2011.
    注:VOC为目标分类与检测的国际权威竞赛,申请人作为骨干蝉联2010、2011年目标检测冠军和目标分类亚军,获邀在ECCV和ICCV的workshop上做报告。