个人简介
个人简历
唐俊，男，1977年6月生，安徽大学教授，博士，硕士生导师。1998年于北京航空航天大学飞行器制造专业获得学士学位；2003年于安徽大学计算机应用专业获得硕士学位，同年任教于安徽大学电子信息工程学院；2008年于安徽大学电路与系统专业获得博士学位，同年晋升为副教授；2009年担任硕士生导师；2015年晋升为教授。2012-2013年间受国家留学基金委资助赴英国谢菲尔德大学访学。主要研究方向为计算机视觉与机器学习，在PR、IEEE TIP、IEEE TCYB、CVIU和IVC等领域内重要学术期刊与会议发表相关学术论文40余篇，担任IEEE TNNLS、IEEE TCYB、IVC和计算机学报等学术期刊评审人，BMVC 2014-2018的程序委员。主持和参加过国家自然科学基金、国家重点研发计划、安徽省重点研发计划、安徽省自然科学基金和安徽省教育厅基金等纵向课题项目的研究工作，承担过多项横向课题的研制工作，具有丰富的项目研究经验。
在研项目
基于网络图像的行为定位与识别理论与方法研究，国家自然科学基金面上项目，61772032
近期论文
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Xuyang Hu, Fan Zhu, Li Liu, Jin Xie, Jun Tang, Nian Wang, Fumin Shen, Ling Shao, Structure-Aware 3D Shape Synthesis from Single-View Images, 29th British Machine Vision Conference (BMVC), Newcastle UK, 2018.
Chaochao Fan, Jun Tang, Nian Wang, Dong Liang, Rich Convolutional Features Fusion for Crowd Counting, 13th IEEE Conference on Automatic Face and Gesture Recognition (FG), Xi’an China, pp.1-11, 2018.
Ming Zhu, Huanghui Miao, Jun Tang, Multi-Kernel Supervised Hashing with Graph Regularization for Cross-Modal Retrieval, 2018 International Conference on Pattern Recognition (ICPR), Beijing China, 2018
Liangliang Su, Jun Tang, Pu Yan, Dong Liang, Wen-Xia Bao, Multi-bit quantization based on neighboring structure preservation, Pattern Recognition Letters, 102, pp.23-29, 2018.
Jun Tang, Ke Wang, Ling Shao, Supervised Matrix Factorization Hashing for Cross-modal Retrieval, IEEE Transactions on Image Processing (TIP), vol.25, no.7, pp.3157-3166, 2016.
Jun Tang, Haiqun Jin, Shoubiao Tan, Dong Liang, Cross-Domain Action Recognition via Collective Matrix Factorization with Graph Laplacian Regularization, Image and Vision Computing (IVC),vol.55, part 2, pp. 119-126, 2016.
Pu Yan, Dong Liang, Jun Tang, Ming Zhu, Local Feature Descriptor using Entropy Rate, Neurocomputing, vol.194, pp. 157-167, 2016.
Pu Yan, Dong Liang, Jun Tang, Ming Zhu, Local Feature Descriptor Invariant to Monotonic Illumination Changes, Journal of Electronic Imaging, vol.25, no.1, pid:013023, 2016.
Jun Tang, Ling Shao, Xuelong Li, Ke Lu, A Local Structural Descriptor for Image Matching via Normalized Graph Laplacian Embedding, IEEE Transactions on Cybernetics (TCYB), vol.46, no.2, pp.410-420, 2016.
Ke Wang, Jun Tang, Nian Wang, Ling Shao, Semantic Boosting Cross-Modal Hashing for Efficient Multimedia Retrieval, Information Sciences, vol.330, pp.199-210, 2016.
Pu Yan, Jun Tang, Ming Zhu, Dong Liang*, Local Image Descriptor Based on Spectral Embedding, IET Computer Vision, vol.9, no.2, pp.278-289, 2015.
Jun Tang, Ling Shao, Xuelong Li, Efficient Dictionary Learning for Visual Categorization, Computer Vision and Image Understanding (CVIU), vol.124, pp.91-98, 2014.
Jun Tang, Ling Shao, Xiantong Zhen, Robust Point Pattern Matching Based on Spectral Context, Pattern Recognition (PR), vol.47, no.3, pp.1469-1484, 2014.
Jun Tang, Ling Shao, Simon Jones, Point Pattern Matching Based on Line Graph Spectral Context and Descriptor Embedding, IEEE Winter Conference on Application of Computer Vision (WACV), pp.17-22, Steamboat Springs, USA, 2014.
Fan Zhu, Ling Shao, Jun Tang, Boosted Cross Domain Dictionary Learning, British Machine Vision Conference (BMVC), Nottingham, UK, 2014
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