计算机视觉，模式识别，机器学习

[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, 2
018-01--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

[1] Zhu Kuan, Guo Haiyun, Tang Ming, Wang Jinqiao. Learning semantics- consistent stripes with self-refinement for person re-identification. IEEE Transactions on neural networks and learning system[J]. 2022, [2] Zhang, Xiaomei, Chen, Yingying, Tang, Ming, Lei, Zhen, Wang, Jinqiao. Grammar-Induced Wavelet Network for Human Parsing. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2022, 31: 4502-4514, http://dx.doi.org/10.1109/TIP.2022.3181486.
[3] Xiaomei Zhang, Yingying Chen, Ming Tang, Jinqiao Wang, Xiangyu Zhu, Zhen Lei. Human Parsing with Part-aware Relation Modeling. IEEE Transactions on Multimedia[J]. 2022, [4] Li, Zhaowen, Zhu, Yousong, Yang, Fan, Li, Wei, Zhao, Chaoyang, Chen, Yingying, Chen, Zhiyang, Xie, Jiahao, Wu, Liwei, Zhao, Rui, Tang, Ming, Wang, Jinqiao. UniVIP: A Unified Framework for Self-Supervised Visual Pre-training. CVPRnull. 2022, [5] Yu, Bin, Tang, Ming, Zhu, Guibo, Wang, Jinqiao, Lu, Hanqing. Dynamic Orthogonal Projection Constrained Discriminative Tracking. IEEE SIGNAL PROCESSING LETTERS[J]. 2022, 29: 652-656, http://dx.doi.org/10.1109/LSP.2022.3150984.
[6] Wang, Tong, Zhu, Yousong, Chen, Yingying, Zhao, Chaoyang, Yu, Bin, Wang, Jinqiao, Tang, Ming. C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection. CVPRnull. 2022, [7] Wang, Tong, Zhu, Yousong, Zhao, Chaoyang, Zeng, Wei, Wang, Jinqiao, Tang, Ming. Adaptive Class Suppression Loss for Long-Tail Object Detection. CVPRnull. 2021, http://arxiv.org/abs/2104.00885.
[8] Liu, Songyan, Guo, Haiyun, Zhu, Kuan, Wang, Jinqiao, Tang, Ming. Unsupervised cycle-consistent person pose transfer. NEUROCOMPUTING[J]. 2021, 453: 502-511, http://dx.doi.org/10.1016/j.neucom.2020.10.059.
[9] 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.
[10] Yu Bin, Tang Ming, Zhu Guibo, Wang Jinqiao, Lu Hanqing. High-Performance Discriminative Tracking with Target-Aware Feature Embeddings. PRCVnull. 2021, [11] 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.
[12] Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hanqing Lu. High-Performance Discriminative Tracking with Transformers. ICCVnull. 2021, [13] 赵旭, 赵朝阳, 杜晓杰, 张振清, 刘松岩, 郭海云, 唐明, 王金桥. 基于十字感受野网络的场景文本检测. 无线电通信技术[J]. 2021, 47(3): 363-368, http://lib.cqvip.com/Qikan/Article/Detail?id=7104768200.
[14] Zheng Linyu, Tang Ming, Chen Yingying, Zhu Guibo, Wang Jinqiao, Lu Hanqing. Improving Multiple Object Tracking With Single Object Tracking. CVPRnull. 2021, [15] Zhang, Xiaomei, Chen, Yingying, Zhu, Bingke, Wang, Jinqiao, Tang, Ming. Semantic-spatial fusion network for human parsing. NEUROCOMPUTING[J]. 2020, 402: 375-383, http://dx.doi.org/10.1016/j.neucom.2020.03.096.
[16] Tang Ming. Large Batch Optimization for Object Detection: Training COCO in 12 Minutes. ECCV. 2020, [17] Tang Ming. Part-aware Context Network for Human Parsing. CVPR. 2020, [18] Tang Ming. Siamese Attentive Graph Tracking. ACM Multimedia. 2020, [19] Tang Ming. Task Decoupled Knowledge Distillation For Lightweight Face Detectors. ACM MM[J]. 2020, [20] 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.
[21] 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.
[22] Wen Xin, Li Biying, Guo Haiyun, Tang Ming, Wang Jinqiao. Adaptive Variance Based Label Distribution Learning For Facial Age Estimation. ECCVnull. 2020, [23] Tang Ming. 3) Semantic-spatial fusion network for human parsing. Neurocomputing. 2020, [24] Tang Ming. Blended Grammar Network for Human Parsing. ECCV. 2020, [25] 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(11): 123-132, http://dx.doi.org/10.1016/j.neucom.2020.02.094.
[26] Zhu Kuan, Guo Haiyun, Tang Ming, Wang Jinqiao. Identity-Guided Human Semantic Parsing for Person Re-Identification. ECCVnull. 2020, [27] 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.
[28] 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.
[29] 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.
[30] Zhou, Lu, Chen, Yingying, Wang, Jinqiao, Tang, Ming, Lu, Hanqing. Bi-Directional Message Passing Based Scanet for Human Pose Estimation. 2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2019, 1048-1053, [31] 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.
[32] 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.
[33] Chen, Yingying, Wang, Jinqiao, Zhu, Bingke, Tang, Ming, Lu, Hanqing. Pixelwise Deep Sequence Learning for Moving Object Detection. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2019, 29(9): 2567-2579, http://dx.doi.org/10.1109/TCSVT.2017.2770319.
[34] Gao, Yunze, Chen, Yingying, Wang, Jinqiao, Tang, Ming, Lu, Hanqing. Reading scene text with fully convolutional sequence modeling. NEUROCOMPUTING[J]. 2019, 339: 161-170, http://ir.ia.ac.cn/handle/173211/24984.
[35] 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, [36] 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, [37] Liu, Songyan, Zhao, Chaoyang, Gao, Yunze, Wang, Jinqiao, Tang, Ming. Adversarial image generation by combining content and style. IET IMAGE PROCESSING[J]. 2019, 13(14): 2716-2723, http://dx.doi.org/10.1049/iet-ipr.2019.0103.
[38] 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.
[39] 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, [40] 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, [41] 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.
[42] 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.
[43] 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, [44] Zhang Xiaomei, Chen Yingying, Zhu Bingke, Wang Jinqiao, Tang Ming, Lu Hanqing. TREE HIERARCHICAL CNNS FOR OBJECT PARSING. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2018, 1588-1592, [45] Tang Ming. Learning Robust Gaussian Regression Processes for Visual Tracking. IJCAI. 2018, [46] Jinqiao Wang, Xu Zhao, Ming Tang, Yingying Chen. Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network. 2017, http://arxiv.org/abs/1707.07584.
[47] 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, [48] Zhao Xu, Chen Yingying, Tang Ming, Wang Jinqiao, IEEE. JOINT BACKGROUND RECONSTRUCTION AND FOREGROUND SEGMENTATION VIA A TWO-STAGE CONVOLUTIONAL NEURAL NETWORK. 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2017, 343-348, [49] Bingke Zhu, Ming Tang, Si Liu, Yingying Chen, Jinqiao Wang, Bo Zhang. Fast Deep Matting for Portrait Animation on Mobile Phone. 2017, http://arxiv.org/abs/1707.08289.
[50] Fei Zhao, Jinqiao Wang, Yi Wu, Ming Tang. DENSETRACKER: A MULTI-TASK DENSE NETWORK FOR VISUAL TRACKING. 2017IEEEINTERNATIONALCONFERENCEONMULTIMEDIAANDEXPOICMEnull. 2017, 607-612, [51] Lu Hanqing. Pixel-wise Deep Sequence Learning for Moving Object Detection. IEEE T-CSVT. 2017, [52] 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.
[53] Tang Ming. Joint Background Recostruction and Foreground Segmentation via a Two-stage CNN. Proceedings of ICME. 2017, [54] 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.
[55] 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.
[56] Tian, Bin, Tang, Ming, Wang, FeiYue. Vehicle detection grammars with partial occlusion handling for traffic surveillance. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES[J]. 2015, 56: 80-93, http://dx.doi.org/10.1016/j.trc.2015.02.020.
[57] Tang, Ming, Feng, Jiayi, IEEE. Multi-kernel Correlation Filter for Visual Tracking. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)null. 2015, 3038-3046, [58] 唐明, 冯佳宜. Multi-kernel Correlation Filter for Visual Tracking. ICCVnull. 2015, http://ir.ia.ac.cn/handle/173211/11508.
[59] Kristan, Matej, Matas, Jiri, Leonardis, Ales, Felsberg, Michael, Cehovin, Luka, Fernandez, Gustavo, Vojir, Tomas, Hager, Gustav, Nebehay, Georg, Pflugfelder, Roman, Gupta, Abhinav, Bibi, Adel, Lukezic, Alan, GarciaMartins, Alvaro, Saffari, Amir, Petrosino, Alfredo, Montero, Andres Solis, Varfolomieiev, Anton, Baskurt, Atilla, Zhao, Baojun, Ghanem, Bernard, Martinez, Brais, Lee, ByeongJu, Han, Bohyung, Wang, Chaohui, Garcia, Christophe, Zhang, Chunyuan, Schmid, Cordelia, Tao, Dacheng, Kim, Daijin, Huang, Dafei, Prokhorov, Danil, Du, Dawei, Yeung, DitYan, Ribeiro, Eraldo, Khan, Fahad Shahbaz, Porikli, Fatih, Bunyak, Filiz, Zhu, Gao, Seetharaman, Guna, Kieritz, Hilke, Yau, Hing Tuen, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lee, Hyemin, Nam, Hyeonseob, Bogun, Ivan, Jeong, Jaechan, Cho, Jaeil, Lee, JaeYoung, Zhu, Jianke, Shi, Jianping, Li, Jiatong, Jia, Jiaya, Feng, Jiayi, Gao, Jin, Choi, Jin Young, Kim, JiWan, Lang, Jochen, Martinez, Jose M, Choi, Jongwon, Xing, Junliang, Xue, Kai, Palaniappan, Kannappan, Lebeda, Karel, Alahari, Karteek, Gao, Ke, Yun, Kimin, Wong, Kin Hong, Luo, Lei, Ma, Liang, Ke, Lipeng, Wen, Longyin, Bertinetto, Luca, Pootschi, Mandieh, Maresca, Mario, Danelljan, Martin, Wen, Mei, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Chang, MingChing, Khan, Muhammad Haris, Fan, Nana, Wang, Naiyan, Miksik, Ondrej, Torr, Philip H S, Wang, Qiang, MartinNieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Moujtahid, Salma, Hare, Sam, Hadfield, Simon, Lyu, Siwei, Li, Siyi, Zhu, SongChun, Becker, Stefan, Duffner, Stefan, Hicks, Stephen L, Golodetz, Stuart, Choi, Sunglok, Wu, Tianfu, Mauthner, Thomas, Pridmore, Tony, Hu, Weiming, Hubner, Wolfgang, Wang, Xiaomeng, Li, Xin, Shi, Xinchu, Zhao, Xu, Mei, Xue, Yao Shizeng, Hua, Yang, Li, Yang, Lu, Yang, Li, Yuezun, Chen, Zhaoyun, Huang, Zehua, Chen, Zhe, Zhang, Zhe, He, Zhenyu, Hong, Zhibin, IEEE. The Visual Object Tracking VOT2015 challenge results. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW)null. 2015, 564-586, http://dx.doi.org/10.1109/ICCVW.2015.79.
[60] Felsberg Michael, Berg Amanda, Hager Gustav, Ahlberg Jorgen, Kristan Matej, Matas Jiri, Leonardis Ales, Cehovin Luka, Fernandez Gustavo, Vojir Tomas, Nebehay Georg, Pflugfelder Roman, Lukezic Alan, GarciaMartin Alvaro, Saffari Amir, Li Ang, Montero Andres Solis, Zhao Baojun, Schmid Cordelia, Chen Dapeng, Du Dawei, Khan Fahad Shahbaz, Porikli Fatih, Zhu Gao, Zhu Guibo, Lu Hanqing, Kieritz Hilke, Li Hongdong, Qi Honggang, Jeong Jaechan, Cho Jaeil, Lee JaeYeong, Zhu Jianke, Li Jiatong, Feng Jiayi, Wang Jinqiao, Kim JiWan, Lang Jochen, Martinez Jose M, Xue Kai, Alahari Karteek, Ma Liang, Ke Lipeng, Wen Longyin, Bertinetto Luca, Danelljan Martin, Arens Michael, Tang Ming, Chang MingChing, Miksik Ondrej, Torr Philip H S, MartinNieto Rafael, Laganiere Robert, Hare Sam, Lyu Siwei, Zhu SongChun, Becker Stefan, Hicks Stephen L, Golodetz Stuart, Choi Sunglok, Wu Tianfu, Hubner Wolfgang, Zhao Xu, Hua Yang, Li Yang, Lu Yang, Li Yuezun, Yuan Zejian, Hong Zhibin, IEEE. The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW)null. 2015, 639-651, http://dx.doi.org/10.1109/ICCVW.2015.86.
[61] 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.
[62] 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.
[63] 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.
[64] Sabel BA, Huiguang He, Zhenchang Wang, She Liu, Zhaohui Liu, Wenjing Li, Junfang Xian, Ming Tang, Jianhong Li, Wen Miao. Altered white matter integrity in Children with Prelingual deafness: a High resolution Tract-Based Spatial Statistics imaging Study. AMERICAN JOURNAL OF NEURORADIOLOGY[J]. 2012, 1(1): http://ir.ia.ac.cn/handle/173211/20579.
[65] 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.
[66] 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, [67] Tang Ming. Robust Tracking via Weakly Supervised Ranking SVM. IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2012, 1854-1861, http://ir.ia.ac.cn/handle/173211/4306.
[68] Sun, Mingxia, Wang, Kunfeng, Tang, Ming, Wang, FeiYue, Yang, Jinfeng, IEEE. Video Vehicle Detection through Multiple Background-Based Features and Statistical Learning. 2011 14TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)null. 2011, 1337-1342, [69] 王坤峰, Wang FeiYue, Tang Ming. Video vehicle detection through multiple background-based features and statistical learning. IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)null. 2011, 1337-1342, http://ir.ia.ac.cn/handle/173211/5042.
[70] Tang Ming. Robust visual tracking via ranking SVM. INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2011, 517-520, http://ir.ia.ac.cn/handle/173211/4281.
[71] Zhang Jing, Chen Duowen, Tang Ming, Zha HB, Taniguchi RI, Maybank S. Combining Discriminative and Descriptive Models for Tracking. COMPUTER VISION - ACCV 2009, PT Inull. 2010, 5994: 113-122, [72] Chen Duowen, Zhang Jing, Tang Ming, IEEE. RANDOM PATCH BASED VIDEO TRACKING VIA BOOSTING THE RELATIVE SPACES. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGSnull. 2009, 1217-1220, [73] Tang Ming. Boosting Relative Spaces for Categorizing Objects. Procedings of ACM MM. 2008, [74] Ouyang, Yi, Tang, Ming, Cheng, Jian, Wang, Jinqiao, Lu, Hanqing, Ma, Songde, IEEE. A NOVEL CONTEXTUAL DESCRIPTORS FOR CATEGORY RECOGNITION. 2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4null. 2008, 1349-1352, http://dx.doi.org/10.1109/ICME.2008.4607693.
[75] 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.
[76] 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, [77] Lixia Shu, Tieniu Tan, Ming Tang, Chunhong Pan. A Novel Registration Method for SAR and SPOT Images. PROC. IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSINGnull. 2005, 2: 213-216, http://ir.ia.ac.cn/handle/173211/13890.
[78] Yanqing Wang, Ming Tang, Tieniu Tan, Xianqing Tai. Detection of Circular Oil Tanks Based on the Fusion of SAR and Optical Images. PROC. IEEE INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICSnull. 2004, 524-527, http://ir.ia.ac.cn/handle/173211/13923.
[79] 唐明, 马颂德. 图像的增强与分割方法研究. 中国科学院研究生院学报[J]. 2004, 21(1): 140-143, http://lib.cqvip.com/Qikan/Article/Detail?id=9386945.
[80] 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.
[81] Tang Ming, Ma Songde. 图像的增强与分割方法研究. 中国科学院研究生院学报[J]. 2004, 21(1): 140-143, http://lib.cqvip.com/Qikan/Article/Detail?id=9386945.
[82] 唐明, 马颂德. 非参数化区域竞争方法：一种新的图像分割框架. 自动化学报[J]. 2001, 27(6): 737-, http://lib.cqvip.com/Qikan/Article/Detail?id=5673201.
[83] 唐明, 侯格贤, 马颂德. 图象中目标的快速搜索算法. 中国图象图形学报：A辑[J]. 2001, 6(8): 760-, http://lib.cqvip.com/Qikan/Article/Detail?id=5764232.
[84] Tang, M, Ma, SD. General scheme of region competition based on scale space. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2001, 23(12): 1366-1378, http://ir.ia.ac.cn/handle/173211/9819.
[85] 唐明. 非参数化区域竞争方法：一种新的图象分割框架. 自动化学报. 2001, [86] 侯格贤, 唐明. 图象中目标的快速搜索算法. 中国图象图形学报：A辑[J]. 2001, 6(8): 760-764, http://lib.cqvip.com/Qikan/Article/Detail?id=5764232.
[87] Tang, M, Ma, SD, Xiao, J. Model-based adaptive enhancement of far infrared image sequences. PATTERN RECOGNITION LETTERS[J]. 2000, 21(9): 827-835, http://dx.doi.org/10.1016/S0167-8655(00)00041-6.
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2004年全国百篇优秀博士论文提名奖, , 国家级, 2004
2002年中科院院长奖学金特别奖, 特等奖, 院级, 2002

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