基本信息
唐明  男  博导  中国科学院自动化研究所
电子邮件: tangm@nlpr.ia.ac.cn
通信地址: 中关村东路95号智能化大厦1404房间
邮政编码: 100190

研究领域

目标检测、识别与跟踪,图像与视频处理,视觉监视,模式识别,机器学习。

招生信息

   
招生专业
081104-模式识别与智能系统
081203-计算机应用技术
招生方向
计算机视觉,模式识别,机器学习
视频处理与理解

教育背景

   
学历
自动化研究所 -- 研究生毕业
学位
自动化研究所 20020901-- 博士

工作经历

   
工作简历
1987-08~现在, 中科院自动化所, 研究员,博士学位

专利与奖励

   
奖励信息
(1) 2004年全国百篇优秀博士论文提名奖, , 国家级, 2004
(2) 2002年中科院院长奖学金特别奖, 特等奖, 院级, 2002
专利成果
[1] 陈盈盈, 朱炳科, 王金桥, 唐明, 黄吟月. 一种图像分类方法、装置、电子设备及存储介质. CN: CN114120034A, 2022-03-01.

[2] 郭海云, 温馨, 王金桥, 唐明, 伍虹燕. 基于分布学习的自适应方差和权重的人脸年龄估计方法. CN: CN112560823A, 2021-03-26.

[3] 郭海云, 王金桥, 唐明, 刘松岩. 基于循环一致性的无监督人体姿态迁移方法、系统及装置. CN: CN111739115B, 2021-03-16.

[4] 郭海云, 王金桥, 唐明, 刘松岩. 基于特征对抗学习和自相似性聚类的跨域目标重识别方法. CN: CN111738172B, 2021-02-12.

[5] 郭海云, 朱宽, 王金桥, 唐明. 基于语义一致水平条和前景修正的行人重识别方法. CN: CN111783753B, 2020-12-15.

[6] 陈盈盈, 张小梅, 王金桥, 唐明. 基于部位上下文的人体属性图像分类方法、系统和装置. CN: CN111783754B, 2020-12-08.

[7] 王金桥, 赵飞, 唐明. 视觉目标跟踪方法及系统. CN: CN109785385A, 2019-05-21.

[8] 唐明, 张静. 融合描述式和判别式建模的目标跟踪方法. CN: CN101777185A, 2010-07-14.

[9] 唐明, 陈铎文. 基于局部距离学习和排序队列的视觉目标跟踪方法. CN: CN101777184A, 2010-07-14.

出版信息

   
发表论文
[1] Wang, Tong, Zhu, Yousong, Zhao, Chaoyang, Zeng, Wei, Wang, Jinqiao, Tang, Ming. Adaptive Class Suppression Loss for Long-Tail Object Detection. 2021, http://arxiv.org/abs/2104.00885.
[2] Zhao, Fei, Zhang, Ting, Song, Yibing, Tang, Ming, Wang, Xiaobo, Wang, Jinqiao. Siamese Regression Tracking With Reinforced Template Updating. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2021, 30: 628-640, http://dx.doi.org/10.1109/TIP.2020.3036723.
[3] Zhao, Fei, Zhang, Ting, Wu, Yi, Tang, Ming, Wang, Jinqiao. Antidecay LSTM for Siamese Tracking With Adversarial Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, 32(10): 4475-4489, http://dx.doi.org/10.1109/TNNLS.2020.3018025.
[4] Zheng Linyu, Tang Ming, Chen Yingying, Zhu Guibo, Wang Jinqiao, Lu Hanqing. Improving Multiple Object Tracking With Single Object Tracking. CVPRnull. 2021, [5] Wang, Tong, Zhu, Yousong, Zhao, Chaoyang, Zeng, Wei, Wang, Jinqiao, Tang, Ming. Adaptive Class Suppression Loss for Long-Tail Object Detection. 2021, http://arxiv.org/abs/2104.00885.
[6] Zhao, Fei, Zhang, Ting, Song, Yibing, Tang, Ming, Wang, Xiaobo, Wang, Jinqiao. Siamese Regression Tracking With Reinforced Template Updating. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2021, 30: 628-640, http://dx.doi.org/10.1109/TIP.2020.3036723.
[7] Zhao, Fei, Zhang, Ting, Wu, Yi, Tang, Ming, Wang, Jinqiao. Antidecay LSTM for Siamese Tracking With Adversarial Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, 32(10): 4475-4489, http://dx.doi.org/10.1109/TNNLS.2020.3018025.
[8] Zheng Linyu, Tang Ming, Chen Yingying, Zhu Guibo, Wang Jinqiao, Lu Hanqing. Improving Multiple Object Tracking With Single Object Tracking. CVPRnull. 2021, [9] Tang Ming. Large Batch Optimization for Object Detection: Training COCO in 12 Minutes. ECCV. 2020, [10] Tang Ming. Siamese Attentive Graph Tracking. ACM Multimedia. 2020, [11] Tang Ming. Part-aware Context Network for Human Parsing. CVPR. 2020, [12] Zheng, Linyu, Chen, Yingying, Tang, Ming, Wang, Jinqiao, Lu, Hanqing. Siamese Deformable Cross-Correlation Network for Real-Time Visual Tracking. NEUROCOMPUTING[J]. 2020, 401: 36-47, http://dx.doi.org/10.1016/j.neucom.2020.02.080.
[13] Tang Ming. Task Decoupled Knowledge Distillation For Lightweight Face Detectors. ACM MM[J]. 2020, [14] Zheng, Linyu, Tang, Ming, Chen, Yingying, Wang, Jinqiao, Lu, Hanqing. Learning Feature Embeddings for Discriminant Model based Tracking. ECCVnull. 2020, http://arxiv.org/abs/1906.10414.
[15] Tang Ming. 3) Semantic-spatial fusion network for human parsing. Neurocomputing. 2020, [16] Wen Xin, Li Biying, Guo Haiyun, Tang Ming, Wang Jinqiao. Adaptive Variance Based Label Distribution Learning For Facial Age Estimation. ECCVnull. 2020, [17] Tang Ming. Blended Grammar Network for Human Parsing. ECCV. 2020, [18] Liu, Songyan, Guo, Haiyun, Hu, JianGuo, Zhao, Xu, Zhao, Chaoyang, Wang, Tong, Zhu, Yousong, Wang, Jinqiao, Tang, Ming. A novel data augmentation scheme for pedestrian detection with attribute preserving GAN. NEUROCOMPUTING[J]. 2020, 401: 123-132, http://dx.doi.org/10.1016/j.neucom.2020.02.094.
[19] Wang, Jinqiao, Zheng, Linyu, Tang, Ming, Feng, Jiayi. A Comparison of Correlation Filter-Based Trackers and Struck Trackers. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2020, 30(9): 3106-3118, http://dx.doi.org/10.1109/TCSVT.2019.2931924.
[20] Zhu Kuan, Guo Haiyun, Tang Ming, Wang Jinqiao. Identity-Guided Human Semantic Parsing for Person Re-Identification. ECCVnull. 2020, [21] Zheng, Linyu, Tang, Ming, Chen, Yingying, Wang, Jinqiao, Lu, Hanqing. High-Speed And Accurate Scale Estimation For Visual Tracking With Gaussian Process Regression. 2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2020, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000612843900194.
[22] Tang Ming. Large Batch Optimization for Object Detection: Training COCO in 12 Minutes. ECCV. 2020, [23] Tang Ming. Siamese Attentive Graph Tracking. ACM Multimedia. 2020, [24] Tang Ming. Part-aware Context Network for Human Parsing. CVPR. 2020, [25] Zheng, Linyu, Chen, Yingying, Tang, Ming, Wang, Jinqiao, Lu, Hanqing. Siamese Deformable Cross-Correlation Network for Real-Time Visual Tracking. NEUROCOMPUTING[J]. 2020, 401: 36-47, http://dx.doi.org/10.1016/j.neucom.2020.02.080.
[26] Tang Ming. Task Decoupled Knowledge Distillation For Lightweight Face Detectors. ACM MM[J]. 2020, [27] Zheng, Linyu, Tang, Ming, Chen, Yingying, Wang, Jinqiao, Lu, Hanqing. Learning Feature Embeddings for Discriminant Model based Tracking. ECCVnull. 2020, http://arxiv.org/abs/1906.10414.
[28] Tang Ming. 3) Semantic-spatial fusion network for human parsing. Neurocomputing. 2020, [29] Wen Xin, Li Biying, Guo Haiyun, Tang Ming, Wang Jinqiao. Adaptive Variance Based Label Distribution Learning For Facial Age Estimation. ECCVnull. 2020, [30] Tang Ming. Blended Grammar Network for Human Parsing. ECCV. 2020, [31] Liu, Songyan, Guo, Haiyun, Hu, JianGuo, Zhao, Xu, Zhao, Chaoyang, Wang, Tong, Zhu, Yousong, Wang, Jinqiao, Tang, Ming. A novel data augmentation scheme for pedestrian detection with attribute preserving GAN. NEUROCOMPUTING[J]. 2020, 401: 123-132, http://dx.doi.org/10.1016/j.neucom.2020.02.094.
[32] Wang, Jinqiao, Zheng, Linyu, Tang, Ming, Feng, Jiayi. A Comparison of Correlation Filter-Based Trackers and Struck Trackers. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2020, 30(9): 3106-3118, http://dx.doi.org/10.1109/TCSVT.2019.2931924.
[33] Zhu Kuan, Guo Haiyun, Tang Ming, Wang Jinqiao. Identity-Guided Human Semantic Parsing for Person Re-Identification. ECCVnull. 2020, [34] Zheng, Linyu, Tang, Ming, Chen, Yingying, Wang, Jinqiao, Lu, Hanqing. High-Speed And Accurate Scale Estimation For Visual Tracking With Gaussian Process Regression. 2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2020, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000612843900194.
[35] Guo, Haiyun, Zhu, Kuan, Tang, Ming, Wang, Jinqiao. Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2019, 28(9): 4328-4338, http://dx.doi.org/10.1109/TIP.2019.2910408.
[36] Zhao, Xu, Liang, Xiaoqing, Zhao, Chaoyang, Tang, Ming, Wang, Jinqiao. Real-Time Multi-Scale Face Detector on Embedded Devices. SENSORS[J]. 2019, 19(9): https://doaj.org/article/21afcb9a36cf43b3a3d88a2efc86fc21.
[37] Zhao, Fei, Wang, Jinqiao, Wu, Yi, Tang, Ming. Adversarial Deep Tracking. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2019, 29(7): 1998-2011, http://dx.doi.org/10.1109/TCSVT.2018.2856540.
[38] Liu, Zhiwei, Zhu, Xiangyu, Hu, Guosheng, Guo, Haiyun, Tang, Ming, Lei, Zhen, Robertson, Neil M, Wang, Jinqiao, IEEE Comp Soc. Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 3462-3471, [39] Liu, Zhiwei, Tang, Ming, Hu, Guosheng, Wang, Jinqiao, IEEE. Learning Discriminative and Complementary Patches for Face Recognition. 2019 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2019)null. 2019, 376-382, [40] Zhao, Xu, Zhao, Chaoyang, Guo, Haiyun, Zhu, Yousong, Tang, Ming, Wang, Jinqiao. Elite Loss for scene text detection. NEUROCOMPUTING[J]. 2019, 333(333): 284-291, http://ir.ia.ac.cn/handle/173211/23594.
[41] Zheng, Linyu, Tang, Ming, Chen, Yingying, Wang, Jinqiao, Lu, Hanqing, IEEE. Fast-deepKCF Without Boundary Effect. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 4019-4028, [42] Guo, Haiyun, Zhu, Kuan, Tang, Ming, Wang, Jinqiao. Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2019, 28(9): 4328-4338, http://dx.doi.org/10.1109/TIP.2019.2910408.
[43] Zhao, Xu, Liang, Xiaoqing, Zhao, Chaoyang, Tang, Ming, Wang, Jinqiao. Real-Time Multi-Scale Face Detector on Embedded Devices. SENSORS[J]. 2019, 19(9): https://doaj.org/article/21afcb9a36cf43b3a3d88a2efc86fc21.
[44] Zhao, Fei, Wang, Jinqiao, Wu, Yi, Tang, Ming. Adversarial Deep Tracking. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2019, 29(7): 1998-2011, http://dx.doi.org/10.1109/TCSVT.2018.2856540.
[45] Liu, Zhiwei, Zhu, Xiangyu, Hu, Guosheng, Guo, Haiyun, Tang, Ming, Lei, Zhen, Robertson, Neil M, Wang, Jinqiao, IEEE Comp Soc. Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 3462-3471, [46] Liu, Zhiwei, Tang, Ming, Hu, Guosheng, Wang, Jinqiao, IEEE. Learning Discriminative and Complementary Patches for Face Recognition. 2019 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2019)null. 2019, 376-382, [47] Zhao, Xu, Zhao, Chaoyang, Guo, Haiyun, Zhu, Yousong, Tang, Ming, Wang, Jinqiao. Elite Loss for scene text detection. NEUROCOMPUTING[J]. 2019, 333(333): 284-291, http://ir.ia.ac.cn/handle/173211/23594.
[48] Zheng, Linyu, Tang, Ming, Chen, Yingying, Wang, Jinqiao, Lu, Hanqing, IEEE. Fast-deepKCF Without Boundary Effect. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 4019-4028, [49] Tang, Ming, Yu, Bin, Zhang, Fan, Wang, Jinqiao, IEEE. High-speed Tracking with Multi-kernel Correlation Filters. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 4874-4883, [50] Zhao Xu, Zhu Yousong, Tang Ming, Wang Jinqiao, Zhao Chaoyang. Improved Single Shot Object Detector Using Enhanced Features and Predicting Heads. 2018, http://ir.ia.ac.cn/handle/173211/23596.
[51] Zhu Bingke, Chen Yingying, Tang Ming, Wang Jinqiao, AAAI. Progressive Cognitive Human Parsing. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 7607-7614, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488907087.
[52] Gao Yunze, Chen Yingying, Wang Jinqiao, Tang Ming, Lu Hanqing. DENSE CHAINED ATTENTION NETWORK FOR SCENE TEXT RECOGNITION. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2018, 679-683, [53] Tang Ming. Learning Robust Gaussian Regression Processes for Visual Tracking. IJCAI. 2018, [54] Tang, Ming, Yu, Bin, Zhang, Fan, Wang, Jinqiao, IEEE. High-speed Tracking with Multi-kernel Correlation Filters. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 4874-4883, [55] Zhao Xu, Zhu Yousong, Tang Ming, Wang Jinqiao, Zhao Chaoyang. Improved Single Shot Object Detector Using Enhanced Features and Predicting Heads. 2018, http://ir.ia.ac.cn/handle/173211/23596.
[56] Zhu Bingke, Chen Yingying, Tang Ming, Wang Jinqiao, AAAI. Progressive Cognitive Human Parsing. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 7607-7614, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488907087.
[57] Gao Yunze, Chen Yingying, Wang Jinqiao, Tang Ming, Lu Hanqing. DENSE CHAINED ATTENTION NETWORK FOR SCENE TEXT RECOGNITION. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2018, 679-683, [58] Tang Ming. Learning Robust Gaussian Regression Processes for Visual Tracking. IJCAI. 2018, [59] Zhang, Ting, Dong, Qiulei, Tang, Ming, Hu, Zhanyi. Two-Stream Deep Correlation Network for Frontal Face Recovery. IEEE SIGNAL PROCESSING LETTERS[J]. 2017, 24(10): 1478-1482, [60] Fei Zhao, Jinqiao Wang, Yi Wu, Ming Tang. DENSETRACKER: A MULTI-TASK DENSE NETWORK FOR VISUAL TRACKING. 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2017, 607-612, [61] Lu Hanqing. Pixel-wise Deep Sequence Learning for Moving Object Detection. IEEE T-CSVT. 2017, [62] Zhu Bingke, Chen Yingying, Wang Jinqiao, Liu Si, Zhang Bo, Tang Ming, ACM. Fast Deep Matting for Portrait Animation on Mobile Phone. PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)null. 2017, 297-305, http://dx.doi.org/10.1145/3123266.3123286.
[63] Tang Ming. Joint Background Recostruction and Foreground Segmentation via a Two-stage CNN. Proceedings of ICME. 2017, [64] Zhang, Ting, Dong, Qiulei, Tang, Ming, Hu, Zhanyi. Two-Stream Deep Correlation Network for Frontal Face Recovery. IEEE SIGNAL PROCESSING LETTERS[J]. 2017, 24(10): 1478-1482, [65] Fei Zhao, Jinqiao Wang, Yi Wu, Ming Tang. DENSETRACKER: A MULTI-TASK DENSE NETWORK FOR VISUAL TRACKING. 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2017, 607-612, [66] Lu Hanqing. Pixel-wise Deep Sequence Learning for Moving Object Detection. IEEE T-CSVT. 2017, [67] Zhu Bingke, Chen Yingying, Wang Jinqiao, Liu Si, Zhang Bo, Tang Ming, ACM. Fast Deep Matting for Portrait Animation on Mobile Phone. PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)null. 2017, 297-305, http://dx.doi.org/10.1145/3123266.3123286.
[68] Tang Ming. Joint Background Recostruction and Foreground Segmentation via a Two-stage CNN. Proceedings of ICME. 2017, [69] Tian, Bin, Morris, Brendan Tran, Tang, Ming, Liu, Yuqiang, Yao, Yanjie, Gou, Chao, Shen, Dayong, Tang, Shaohu. Hierarchical and Networked Vehicle Surveillance in ITS: A Survey. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2015, 16(2): 557-580, https://www.webofscience.com/wos/woscc/full-record/WOS:000352282500004.
[70] 唐明, 冯佳宜. Multi-kernel Correlation Filter for Visual Tracking. ICCVnull. 2015, http://ir.ia.ac.cn/handle/173211/11508.
[71] Bin Tian, Ming Tang, FeiYue Wang. Vehicle detection grammars with partial occlusion handling for traffic surveillance. Transportation Research Part C. 2015, 56: 80-93, http://dx.doi.org/10.1016/j.trc.2015.02.020.
[72] Tian, Bin, Morris, Brendan Tran, Tang, Ming, Liu, Yuqiang, Yao, Yanjie, Gou, Chao, Shen, Dayong, Tang, Shaohu. Hierarchical and Networked Vehicle Surveillance in ITS: A Survey. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2015, 16(2): 557-580, https://www.webofscience.com/wos/woscc/full-record/WOS:000352282500004.
[73] 唐明, 冯佳宜. Multi-kernel Correlation Filter for Visual Tracking. ICCVnull. 2015, http://ir.ia.ac.cn/handle/173211/11508.
[74] Bin Tian, Ming Tang, FeiYue Wang. Vehicle detection grammars with partial occlusion handling for traffic surveillance. Transportation Research Part C. 2015, 56: 80-93, http://dx.doi.org/10.1016/j.trc.2015.02.020.
[75] Bai, Yancheng, Tang, Ming. Robust visual tracking via augmented kernel SVM. IMAGE AND VISION COMPUTING[J]. 2014, 32(8): 465-475, http://dx.doi.org/10.1016/j.imavis.2014.04.008.
[76] Bai, Yancheng, Tang, Ming. Object Tracking via Robust Multitask Sparse Representation. IEEE SIGNAL PROCESSING LETTERS[J]. 2014, 21(8): 909-913, https://www.webofscience.com/wos/woscc/full-record/WOS:000336042100001.
[77] Bai, Yancheng, Tang, Ming. Robust visual tracking via augmented kernel SVM. IMAGE AND VISION COMPUTING[J]. 2014, 32(8): 465-475, http://dx.doi.org/10.1016/j.imavis.2014.04.008.
[78] Bai, Yancheng, Tang, Ming. Object Tracking via Robust Multitask Sparse Representation. IEEE SIGNAL PROCESSING LETTERS[J]. 2014, 21(8): 909-913, https://www.webofscience.com/wos/woscc/full-record/WOS:000336042100001.
[79] Tang, Ming, Peng, Xi. Robust Tracking With Discriminative Ranking Lists. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2012, 21(7): 3273-3281, https://www.webofscience.com/wos/woscc/full-record/WOS:000305577600014.
[80] Bai, Yancheng, Tang, Ming, IEEE. Robust Tracking via Weakly Supervised Ranking SVM. 2012 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2012, 1854-1861, [81] Tang, Ming, Peng, Xi. Robust Tracking With Discriminative Ranking Lists. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2012, 21(7): 3273-3281, https://www.webofscience.com/wos/woscc/full-record/WOS:000305577600014.
[82] Bai, Yancheng, Tang, Ming, IEEE. Robust Tracking via Weakly Supervised Ranking SVM. 2012 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2012, 1854-1861, [83] Tang Ming. Boosting Relative Spaces for Categorizing Objects. Procedings of ACM MM. 2008, [84] Tang Ming. Boosting Relative Spaces for Categorizing Objects. Procedings of ACM MM. 2008, [85] Zhang, Kai, Kwok, Jamesk T, Tang, Ming, Leonardis, A, Bischof, H, Pinz, A. Accelerated convergence using dynamic mean shift. COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS[J]. 2006, 3952: 257-268, http://ir.ia.ac.cn/handle/173211/9341.
[86] Zhang, Kai, Kwok, Jamesk T, Tang, Ming, Leonardis, A, Bischof, H, Pinz, A. Accelerated convergence using dynamic mean shift. COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS[J]. 2006, 3952: 257-268, http://ir.ia.ac.cn/handle/173211/9341.
[87] Zhang K, Tang M, Kwok JT, Schmid C, Soatto S, Tomasi C. Applying Neighborhood consistency for fast clustering and kernel density estimation. 2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGSnull. 2005, 1001-1007, [88] Zhang K, Tang M, Kwok JT, Schmid C, Soatto S, Tomasi C. Applying Neighborhood consistency for fast clustering and kernel density estimation. 2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGSnull. 2005, 1001-1007, [89] Zhu, ZF, Tang, M, Lu, HQ. A new robust circular Gabor based object matching by using weighted Hausdorff distance. PATTERN RECOGNITION LETTERS[J]. 2004, 25(4): 515-523, http://dx.doi.org/10.1016/j.patrec.2003.12.014.
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科研活动

   
科研项目
( 1 ) 视觉目标跟踪方法及相关机器学习问题研究 , 主持, 国家级, 2013-01--2013-12
( 2 ) 视觉感知和语义计算, 参与, 国家级, 2012-01--2016-12
( 3 ) 基于相对空间的视觉目标跟踪方法研究, 主持, 国家级, 2014-01--2017-12
( 4 ) 基于物件的图像识别, 参与, 院级, 2016-10--2018-12
( 5 ) 面向视频识别的视频图像处理技术, 参与, 院级, 2018-01--2018-12
( 6 ) 综合AR识别引擎, 参与, 院级, 2017-03--2018-03
( 7 ) 高分辨率人体抠图, 主持, 院级, 2017-11--2018-05
( 8 ) 视频镜头检测算法开发, 参与, 院级, 2018-12--2019-05
( 9 ) 印第安裔及其他人种人员识别相关算法开发, 参与, 院级, 2018-11--2019-11
( 10 ) 基于双样本学习的目标跟踪, 主持, 国家级, 2020-01--2023-12

指导学生

已指导学生

吴倩  硕士研究生  081104-模式识别与智能系统  

张静  硕士研究生  081104-模式识别与智能系统  

陈铎文  硕士研究生  081104-模式识别与智能系统  

彭曦  硕士研究生  081104-模式识别与智能系统  

李昕璨  硕士研究生  081104-模式识别与智能系统  

白延成  博士研究生  081104-模式识别与智能系统  

王函  硕士研究生  081104-模式识别与智能系统  

冯佳宜  硕士研究生  081104-模式识别与智能系统  

赵飞  博士研究生  081104-模式识别与智能系统  

张衡  硕士研究生  085211-计算机技术  

赵旭  博士研究生  081104-模式识别与智能系统  

刘松岩  博士研究生  081104-模式识别与智能系统  

现指导学生

朱炳科  博士研究生  081104-模式识别与智能系统  

刘智威  博士研究生  081104-模式识别与智能系统  

张小梅  博士研究生  081104-模式识别与智能系统  

温馨  硕士研究生  085211-计算机技术  

陈志扬  博士研究生  081104-模式识别与智能系统  

黄吟月  硕士研究生  085208-电子与通信工程  

王童  博士研究生  081104-模式识别与智能系统  

胡雨  硕士研究生  085211-计算机技术  

吴畏  硕士研究生  085211-计算机技术  

朱宽  博士研究生  081104-模式识别与智能系统