081104-模式识别与智能系统

模式识别、计算机视觉

2019-01--2019-12   美国加州大学洛杉矶分校   公派访问学者
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

2009-03~2010-09,新加坡南洋理工大学, Research Fellow

视频处理与分析
视频分析与处理

   

[1] 冯柏岚, 姚春凤, 黄凯奇, 张彰, 周阳. 行人属性识别与定位方法以及卷积神经网络系统. CN: CN111052126A, 2020-04-21.

[2] 黄凯奇, 张彰, 李俊, 李达, 余铠. 基于Spark的分布式海量视频解析系统. CN: CN108683877A, 2018-10-19.

[3] 黄凯奇, 张彰, 单言虎. 一种基于隐结构推理的行为识别方法. CN: CN103136540A, 2013-06-05.

[4] 王亮, 张彰, 王开业. 基于慢特征分析的暴力视频检测方法. CN: CN102902981A, 2013-01-30.

[5] 谭铁牛, 黄凯奇, 张彰, 王亮生. 一种基于轨迹序列分析和规则归纳的视频行为识别方法. CN: CN101334845A, 2008-12-31.

   

[1] Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan. Few-shot learning with unsupervised part discovery and part-aligned similarity. Pattern Recognition. 2023, 133: http://dx.doi.org/10.1016/j.patcog.2022.108986.

[2] YiFan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan. Focal and efficient IOU loss for accurate bounding box regression. Neurocomputing. 2022, 506: 146-157, http://dx.doi.org/10.1016/j.neucom.2022.07.042.

[3] Zhenyu Liu, Zhang Zhang, Da Li, Peng Zhang, Caifeng Shan. Dual-branch self-attention network for pedestrian attribute recognition. Pattern Recognition Letters. 2022, 163: 112-120, http://dx.doi.org/10.1016/j.patrec.2022.10.003.

[4] Wentao Chen, Zhang Zhang, Wei Wang, 王亮, Zilei Wang, Tieniu Tan. Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations. European Conference on Computer Vision (ECCV)null. 2022, https://link.springer.com/chapter/10.1007/978-3-031-20044-1_22.

[5] Song, YiFan, Zhang, Zhang, Shan, Caifeng, Wang, Liang. Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)[J]. 2022, 
[6] Song, YiFan, Zhang, Zhang, Shan, Caifeng, Wang, Liang. Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2021, 31(5): 1915-1925, http://dx.doi.org/10.1109/TCSVT.2020.3015051.

[7] Hu, Xuecai, Zhang, Zhang, Shan, Caifeng, Wang, Zilei, Wang, Liang, Tan, Tieniu. Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, 32(9): 4151-4165, http://dx.doi.org/10.1109/TNNLS.2020.3016974.

[8] Zhao, Cairong, Lv, Xinbi, Zhang, Zhang, Zuo, Wangmeng, Wu, Jun, Miao, Duoqian. Deep Fusion Feature Representation Learning With Hard Mining Center-Triplet Loss for Person Re-Identification. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2020, 22(12): 3180-3195, http://dx.doi.org/10.1109/TMM.2020.2972125.

[9] Jia, Zhen, Zhang, Zhang, Wang, Liang, Shan, Caifeng, Tan, Tieniu. Deep Unbiased Embedding Transfer for Zero-Shot Learning. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2020, 29: 1958-1971, http://dx.doi.org/10.1109/TIP.2019.2947780.

[10] Song, YiFan, Zhang, Zhang, Shan, Caifeng, Wang, Liang. Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition. 2020, http://arxiv.org/abs/2008.03791.

[11] Song, YiFan, Zhang, Zhang, Shan, Caifeng, Wang, Liang. Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition. 2020, http://arxiv.org/abs/2010.09978.

[12] Jain, Deepak Kumar, Zhang, Zhang, Huang, Kaiqi. Multi angle optimal pattern-based deep learning for automatic facial expression recognition. PATTERN RECOGNITION LETTERS[J]. 2020, 139: 157-165, http://dx.doi.org/10.1016/j.patrec.2017.06.025.

[13] Liu, Jinde, Zhang, Zhang, Shan, Caifeng, Tan, Tieniu. Kinematic skeleton graph augmented network for human parsing. NEUROCOMPUTING[J]. 2020, 413: 457-470, http://dx.doi.org/10.1016/j.neucom.2020.07.002.

[14] Li, Da, Zhang, Zhang, Shan, Caifeng, Wang, Liang, Tan, Tieniu, IEEE. A Comprehensive Study on Large-Scale Person Retrieval in Real Surveillance Scenarios. 2019 16TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS)null. 2019, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000524684300031.

[15] Yang, Wenjie, Huang, Houjing, Zhang, Zhang, Chen, Xiaotang, Huang, Kaiqi, Zhang, Shu, IEEE Comp Soc. Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-Identification. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 1389-1398, 
[16] Li, Da, Zhang, Zhang, Yu, Kai, Huang, Kaiqi, Tan, Tieniu. ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2019, 30(12): 2743-2758, http://dx.doi.org/10.1109/TPDS.2019.2921956.

[17] Li, Yabei, Zhang, Zhang, Cheng, Yanhua, Wang, Liang, Tan, Tieniu. MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification. PATTERN RECOGNITION[J]. 2019, 90: 436-449, http://ir.ia.ac.cn/handle/173211/23477.

[18] Li, Da, Li, Dangwei, Zhang, Zhang, Wang, Liang, Tan, Tieniu, IEEE. UNSUPERVISED CROSS-DOMAIN PERSON RE-IDENTIFICATION: A NEW FRAMEWORK. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2019, 1222-1226, 
[19] Song, YiFan, Zhang, Zhang, Wang, Liang, IEEE. Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2019, 1-5, 
[20] Yabei Li, Zhang Zhang, Yanhua Cheng, Liang Wang, Tieniu Tan. Corrigendum to "MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification" Pattern Recognition 90 (2019) 436-449. Pattern Recognition. 2019, 94: 250-250, http://dx.doi.org/10.1016/j.patcog.2019.05.034.

[21] Li, Yabei, Zhang, Zhang, Cheng, Yanhua, Wang, Liang, Tan, Tieniu. MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification (vol 90, pg 436, 2019). PATTERN RECOGNITIONnull. 2019, 94: 250-250, 
[22] Li, Dangwei, Zhang, Zhang, Chen, Xiaotang, Huang, Kaiqi. A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2019, 28(4): 1575-1590, http://ir.ia.ac.cn/handle/173211/25707.

[23] Jain, Deepak Kumar, Zhang, Zhang, Huang, Kaiqi. Random walk-based feature learning for micro-expression recognition. PATTERN RECOGNITION LETTERS[J]. 2018, 115(XX): 92-100, http://dx.doi.org/10.1016/j.patrec.2018.02.004.

[24] Huang, Houjing, Li, Dangwei, Zhang, Zhang, Chen, Xiaotang, Huang, Kaiqi, IEEE. Adversarially Occluded Samples for Person Re-identification. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 5098-5107, 
[25] Zhao, Weiqi, Zhang, Zhang, Huang, Kaiqi. Gestalt laws based tracklets analysis for human crowd understanding. PATTERN RECOGNITION[J]. 2018, 75: 112-127, http://dx.doi.org/10.1016/j.patcog.2017.06.020.

[26] Li, Dangwei, Chen, Xiaotang, Zhang, Zhang, Huang, Kaiqi, IEEE. POSE GUIDED DEEP MODEL FOR PEDESTRIAN ATTRIBUTE RECOGNITION IN SURVEILLANCE SCENARIOS. 2018 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2018, 
[27] Zhang Zhang, Chunfeng Yao, Bailan Feng, Kaiqi Huang, Dangwei Li, Biao Leng, Kai Yu, Yang Zhou. Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization. 2017, http://arxiv.org/abs/1611.05603.

[28] Zhang Zhang, Chen Xiaotang, Kaiqi Huang, Dangwei Li, Huang Kaiqi. Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification. 2017, http://arxiv.org/abs/1710.06555.

[29] Li, Dangwei, Chen, Xiaotang, Zhang, Zhang, Huang, Kaiqi, IEEE. Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification. 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017)null. 2017, 7398-7407, 
[30] Li Da, Zhang Zhang, Tan Tieniu, Yang J, Hu Q, Cheng MM, Wang L, Liu Q, Bai X, Meng D. Large-Scale Slow Feature Analysis Using Spark for Visual Object Recognition. COMPUTER VISION, PT IIInull. 2017, 773: 132-142, 
[31] Jain Deepak Kumar, Zhang Zhang, Huang Kaiqi, Zhang Z, Huang K. Hybrid Patch Based Diagonal Pattern Geometric Appearance Model for Facial Expression Recognition. INTELLIGENT VISUAL SURVEILLANCE (IVS 2016)null. 2016, 664: 107-113, 
[32] Huang Kaiqi, Zhang Zhang, Zhao Weiqi, Kaiqi Huang. Joint Crowd Detection and Semantic Scene Modeling Using a Gestalt Laws-based Similarity. Proc. International Conference on Image Processing (ICIP) 2016null. 2016, http://ir.ia.ac.cn/handle/173211/12663.

[33] Jain Deepak Kumar, Zhang Zhang, Huang Kaiqi, Zhang Z, Huang K. Hybrid Patch Based Diagonal Pattern Geometric Appearance Model for Facial Expression Recognition. INTELLIGENT VISUAL SURVEILLANCE (IVS 2016)null. 2016, 664: 107-113, 
[34] 张彰, 单言虎, HuangKaiqi, 黄凯奇. 人的视觉行为识别研究回顾、现状及展望. 计算机研究与发展[J]. 2016, 53(1): 93-112, http://lib.cqvip.com/Qikan/Article/Detail?id=667688332.

[35] Zhang, Zhang, Huang, Kaiqi, Tan, Tieniu, Yang, Peipei, Li, Jun, IEEE. ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2016, 752-760, 
[36] Shan, Yanhu, Zhang, Zhang, Yang, Peipei, Huang, Kaiqi. Adaptive Slice Representation for Human Action Classification. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2015, 25(10): 1624-1636, http://dx.doi.org/10.1109/TCSVT.2014.2376136.

[37] Dong Wang, Zhang Zhang, Wei Wang, Liang Wang, Tieniu Tan. Baseline results for violence detection in still images. Proc. IEEE International Conference on Advanced Video and Signal-Based Surveillancenull. 2012, 54-57, http://ir.ia.ac.cn/handle/173211/13825.

[38] Zhang, Zhang, Tao, Dacheng. Slow Feature Analysis for Human Action Recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2012, 34(3): 436-450, http://dx.doi.org/10.1109/TPAMI.2011.157.

[39] Yongming Chen, Wang Liang, Wang Wei, Zhang Zhang. CONTINUUM REGRESSION FOR CROSS-MODAL MULTIMEDIA RETRIEVAL. International Conference on Image Processing (ICIP)null. 2012, 1949-1952, http://ir.ia.ac.cn/handle/173211/5411.

[40] Wang Kaiye, Zhang Zhang, Wang Liang, Liu CL, Zhang CS, Wang L. Violence Video Detection by Discriminative Slow Feature Analysis. PATTERN RECOGNITIONnull. 2012, 321: 137-+, 
[41] Zhang, Zhang, Cheng, Jun, Li, Jun, Bian, Wei, Tao, Dacheng. Segment-Based Features for Time Series Classification. COMPUTER JOURNAL[J]. 2012, 55(9): 1088-1102, http://dx.doi.org/10.1093/comjnl/bxs029.

[42] Zhang, Zhang, Tan, Tieniu, Huang, Kaiqi. An Extended Grammar System for Learning and Recognizing Complex Visual Events. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2011, 33(2): 240-255, http://dx.doi.org/10.1109/TPAMI.2010.60.

[43] Zhang Zhang, Huang Kaiqi, Tan Tieniu. Multi-Thread Parsing for Recognizing Complex Events in Videos. Proc. of The 10th European Conference on Computer Vision (ECCV) 2008null. 2008, http://ir.ia.ac.cn/handle/173211/12666.

[44] Zhang Zhang, Huang Kaiqi, Tan Tieniu, Wang Liangsheng. Trajectory Series Analysis based Event Rule Induction for Visual Surveillance. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2007null. 2007, http://ir.ia.ac.cn/handle/173211/12667.

[45] Zhang, Z, Huang, KQ, Tan, TN. Complex activity representation and recognition by extended stochastic grammar. COMPUTER VISION - ACCV 2006, PT I[J]. 2006, 3851(1): 150-159, http://www.irgrid.ac.cn/handle/1471x/1005782.

[46] Zhang Zhang, Huang Kaiqi, Tan Tieniu. Comparison of similarity measures for trajectory clustering in outdoor surveillance scenes. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS[J]. 2006, 1135-+, 

   

（ 1 ） 面向智能视觉监控的大规模慢特征学习研究, 负责人, 国家任务, 2015-01--2018-12
（ 2 ） 仿生眼感知与识别处理, 负责人, 国家任务, 2015-01--2018-12
（ 3 ） 基于非欧氏空间的视觉计算理论与方法, 参与, 国家任务, 2012-01--2016-12

（1）ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering   2016-06-27