张彰
近期热点
资料介绍
个人简历
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 工学学士工作简历2009-03~2010-09,新加坡南洋理工大学, Research Fellow2002-09~2009-03,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研究领域
""近期论文
(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 相关热点
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