基本信息
张彰  男  硕导  中国科学院自动化研究所
电子邮件: zzhang@nlpr.ia.ac.cn
通信地址: 中关村东路95号中科院自动化所
邮政编码:

招生信息

   
招生专业
081104-模式识别与智能系统
招生方向
模式识别、计算机视觉

教育背景

2002-09--2009-03   中国科学院自动化研究所   硕博连读/工学博士
1998-09--2002-07   河北工业大学   工学学士

工作经历

   
工作简历
2009-03~2010-09,新加坡南洋理工大学, Research Fellow
2002-09~2009-03,中国科学院自动化研究所, 硕博连读/工学博士
1998-09~2002-07,河北工业大学, 工学学士
~现在, 

教授课程

视频处理与分析
视频分析与处理

专利与奖励

   
专利成果
( 1 ) Event structure system and controlling method and medium for the same, 2013, 第 4 作者, 专利号: US 8620022
( 2 ) 基于Spark的分布式海量视频解析系统, 2018, 第 2 作者, 专利号: 201810296322.3
( 3 ) 基于慢特征分析的暴力视频检测方法, 2016, 第 2 作者, 专利号: CN2012103401601A
( 4 ) 一种基于隐结构推理的行为识别方法, 2015, 第 2 作者, 专利号: CN103136540B
( 5 ) 一种基于对抗遮挡的行人再识别数据扩充方法, 2019, 第 4 作者, 专利号: PCT/CN2018/088758
( 6 ) 一种基于弱监督特征卷积神经网络的行人属性识别定位方法, 2019, 第 4 作者, 专利号: PCT/CN2017/100430
( 7 ) 一种无监督的跨域行人重识别方法及系统, 2019, 第 3 作者, 专利号: 201910712781.X
( 8 ) 基于生成式对抗网络的无偏映射零样本分类方法和装置, 2019, 第 2 作者, 专利号: 201930093484.1
( 9 ) 一种基于人体骨架的人体行为识别方法及系统, 2020, 第 2 作者, 专利号: 202010831701.5

出版信息

   
发表论文
(1) Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020, 第 2 作者
(2) Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020, 第 2 作者
(3) Kinematic Skeleton Graph Augmented Network for Human Parsing, Neurocomputing, 2020, 第 2 作者
(4) Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition, ACM Conference on Multimedia (MM), 2020, 第 2 作者
(5) Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-Identification, IEEE Transactions on MultiMedia (TMM), 2020, 第 3 作者
(6) Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019, 第 3 作者
(7) Unsupervised Cross-Domain Person Re-Identification: A New Framework, International Conference on Image Processing (ICIP), 2019, 第 3 作者
(8) A Comprehensive Study on Large-Scale Person Retrieval in Real Surveillance Scenarios, IEEE International Conference on Advanced Video Signal-based Surveillance (AVSS), 2019, 第 2 作者
(9) Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons, International Conference on Image Processing (ICIP), 2019, 第 2 作者
(10) Deep Unbiased Embedding Transfer for Zero-shot Learning, IEEE Transactions on Image Processing (IEEE T-IP), 2019, 第 2 作者
(11) ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance, IEEE Transactions on Parallel and Distributed Systems (IEEE T-PDS), 2019, 第 2 作者
(12) MAPNet: Multi-modal Attentive Pooling Network for RGB-D Indoor Scene Classification, Pattern Recognition (PR), 2019, 第 2 作者
(13) A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios, IEEE Transactions on Image Processing(T-IP), 2019, 第 2 作者
(14) Adversarially Occluded Samples for Person Re-identification, IEEE Conference on Computer Vision and Pattern Recognition, 2018, 第 3 作者
(15) POSE GUIDED DEEP MODEL FOR PEDESTRIAN ATTRIBUTE RECOGNITION IN SURVEILLANCE SCENARIOS, International Conference on Multimedia and Expo, 2018, 第 3 作者
(16) Random walk-based feature learning for micro-expression recognition, Pattern Recognition Letters, 2018, 第 2 作者
(17) Gestalt laws based tracklets analysis for human crowd understanding, Pattern Recognition, 2017, 第 2 作者
(18) Multi angle optimal pattern-based deep learning for automatic facial expression recognition, Pattern Recognition Letters, 2017, 第 2 作者
(19) Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification, IEEE Conference on Computer Vision and Pattern Recognition, 2017, 第 3 作者
(20) Large-Scale Slow Feature Analysis Using Spark for Visual Object Recognition, Chinese Conference on Computer Vision, 2017, 第 2 作者
(21) Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization, British Machine Vision Conference, 2017, 第 4 作者
(22) ReD-SFA: Relation Discovery based Slow Feature Analysis for Trajectory Clustering, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 第 1 作者
(23) Joint Crowd Detection and Semantic Scene Modeling Using A Gestalt Laws-Based Similarity, International Conference on Image Processing (ICIP), 2016, 第 2 作者
(24) Adaptive Slice Representation for Human Action Classification, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2015, 第 2 作者
(25) Slow Feature Analysis for Human Action Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012, 第 1 作者
(26) An Extended Grammar System for Learning and Recognizing Complex Visual Events, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2011, 第 1 作者
(27) Multi-thread Parsing for Recognizing Complex Events in Videos, European Conference on Computer Vision (ECCV), 2008, 第 1 作者
(28) Trajectory Series Analysis based Event Rule Induction for Visual Surveillance, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007, 第 1 作者

科研活动

   
科研项目
( 1 ) 面向智能视觉监控的大规模慢特征学习研究, 主持, 国家级, 2015-01--2018-12
( 2 ) 仿生眼感知与识别处理, 主持, 国家级, 2015-01--2018-12
( 3 ) 基于非欧氏空间的视觉计算理论与方法, 参与, 国家级, 2012-01--2016-12
参与会议
(1)ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering   2016-06-27