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Faculty

Jun Li Associate Professor

Academic Area: 
computer vision and pattern recognition
Research Interests: 
  • Multimedia Retrieval
  • multi-view learning
  • object recognition
Bio: 

Research Experience:

Post-doctoral Fellow, Department of Computing Science, University of Alberta (2017.12~2018.10)

Post-doctoral Fellow, Southeast University (2016.09~2019.03)

Jointly Supervised Ph.D, The Faculty of Engineering and Information Technology, The University of Technology Sydney (2015.01~2016.01)

Jointly Supervised Ph.D, National Laboratory of Pattern Recognition, CASIA (2012.07~2014.10)

 

Educational Background:

Ph.D, Pattern Recognition and Intelligent Systems, Southeast University (2016)

M. Eng, Control Theory and Control Engineering, Southeast University (2011)

B. Eng, Electrical Engineering and Automation, Nanjing Normal University (2008)

 

Research

 

 

Research Projects

Principal Investigator:

  1. Multi-source heterogeneous visual feature learning in large-scale image retrieval, Natural Science Foundation of China (2018-2020)
  2. Multi-view hierarchical feature learning in large-scale image retrieval, Natural Science Foundation of Jiangsu Province (2017-2020)
  3. Research on visual Feature Learning and Representations in Content-based Image Retrieval, China Postdoctoral Science Foundation (2017-2019)

 

Collaborator:

  1. “Research on Hybrid Feature Learning Method for Static Image Behavior Recognition”, Natural Science Foundation of China (2018-2021)
  2. Research on road registration and matching algorithm based on end-to-end learning and its application in non-GPS UAV positioning”, Natural Science Foundation of China (2018-2021) (2019-2021)

 

Journal Articles

  • Jun Li*, Chang Xu, Wankou Yang, Changyin Sun, Kotagiri Ramamohanarao, Dacheng Tao, ROMIR: Robust Multi-view Image Re-ranking, IEEE Transactions on Knowledge and Data Engineering, 31(12): 2393-2406, 2019. (SCI, IF: 3.857, CCF A)
  • Biyun Sheng, Jun Li, Fu Xiao*, Qun Li, Wankou Yang, Junwei Han, Discriminative Multi-View Subspace Feature Learning for Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2019, DOI: 10.1109/TCSVT.2019.2918591. (SCI, IF: 4.046, CCF B)
  • Wankou Yang*, Xian Zhang, Jun Li, A local multiple patterns feature descriptor for face recognition, Neurocomputing, 2019. (SCI, IF: 4.072, CCF C)
  • Bo Yang, Xiaosu Xu*, Jun Li, Hong Zhang, Landmark Generation in Visual Place Recognition Using Multi-Scale Sliding Window for Robotics, Applied Sciences, 2019, 9(15): 3146. (SCI, IF: 2.217)
  • Zhao Pei, Yawen Li, Miao Ma, Jun Li, Chengcai Leng, Xiaoqiang Zhang, Yanning Zhang*, Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging, Sensors, 19(3): 1-22, 2019. (SCI, IF: 2.475)
  • Jun Li*, Chang Xu, Wankou Yang, Changyin Sun, Kotagiri Ramamohanarao, Dacheng Tao, ROMIR: Robust Multi-view Image Re-ranking, IEEE Transactions on Knowledge and Data Engineering, Online, 2018. (SCI, IF: 2.775, CCF A)
  • Jun Li*, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao, Hong Zhang, Discriminative multi-view Privileged Information learning for image re-ranking, arXiv:1808.04437, 2018.
  • Biyun Sheng, Chunhua Shen, Guosheng Lin, Jun Li, Wankou Yang, Changyin Sun*, Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps, IEEE Transactions on Circuits and Systems for Video Technology, 28(8): 1788-1797, 2018. (SCI, IF: 3.558, CCF B)
  • Jifeng Shen*, Xin Zuo, Lei Zhu, Jun Li, Wankou Yang, Haibin Ling, Pedestrian Proposal and Refining Based on the Shared Pixel Differential Feature, IEEE Transactions on Intelligent Transportation Systems, Online, 2018. (SCI, IF: 4.051, CCF B)
  • Wankou Yang*, Jun Li, Hao Zheng, Richard Yi Da Xu, A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction, IEEE Access, 6: 7445-7451, 2018. (SCI, IF: 3.557)
  • Yali Peng, Paramjit Sehdev, Shigang Liu*, Jun Li, Xili Wang, l2,1-norm minimization based negative label relaxation linear regression for feature selection, Pattern Recognition Letters, 116: 170-178, 2018. (SCI, IF: 1.952, CCF C)
  • Yali Peng, Lingjun Li, Shigang Liu*, Jun Li, Xili Wang, Extended sparse representation-based classification method for face recognition, Machine Vision and Applications, 29(6): 991-1007, 2018. (SCI, IF: 1.306, CCF C)
  • Yali Peng, Jingcheng Ke, Shigang Liu*, Jun Li, Tao Lei, An improvement to linear regression classification for face recognition, International Journal of Machine Learning and Cybernetics, Online, 2018. (SCI, IF: 2.692)
  • Yali Peng, Shigang Liu*, Tao Lei, Jun Li, Min Guo, Negative ε Dragging Technique for Pattern Classification, IEEE Access, 6: 488-494, 2018. (SCI, IF: 3.557)
  • Jingcheng Ke, Yali Peng*, Shigang Liu, Jun Li, Zhao Pei, Face Recognition Based on Symmetrical Virtual Image and Original Training Image, Journal of Modern Optics, 65(4): 367-380, 2018. (SCI, IF: 1.269)
  • Jun Li*, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao, Discriminative Multi-view Interactive Image Re-ranking, IEEE Transactions on Image Processing, 26(7): 3113 – 3127, 2017. (SCI, IF: 5.071, CCF A)
  • Jun Li, Chang Xu, Wankou Yang, Changyin Sun*, SPA: Spatially Pooled Attributes for Image Retrieval, Neurocomputing, 257: 47-58, 2017. (SCI, IF: 3.241, CCF C)
  • Jifeng Shen*, Xin Zuo, Jun Li, Wankou Yang, Haibin Ling, A Novel Pixel Neighborhood Differential Statistic Feature for Pedestrian and Face Detection, Pattern Recognition, 63: 127-138, 2017. (SCI, IF: 3.962, CCF B)
  • Biyun Sheng, Qichang Hu, Jun Li, Wankou Yang, Baochang Zhang, Changyin Sun*, Filtered Shallow-deep Feature Channels for Pedestrian Detection, Neurocomputing, 249: 19-27, 2017. (SCI, IF: 3.241, CCF C)
  • Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun*, SERVE: Soft and Equalized Residual VEctors for Image Retrieval, Neurocomputing, 207: 202-212, 2016. (SCI, IF: 3.241, CCF C)
  • Zhongxi Sun, Jun Li, Changyin Sun*, Kernel Inverse Fisher Discriminant Analysis for Face Recognition, Neurocomputing, 134: 46-52, 2014. (SCI, IF: 3.241, CCF C)

 

Conference Proceedings:

  • Jun Li, Bo Yang, Wankou Yang, Changyin Sun, Hong Zhang, When deep meets shallow: subspace-based multi-view fusion for instance-level image retrieval, 15th IEEE International Conference on Robotics and Biomimetics (ROBIO), Kuala Lumpur, Malaysia: 486-492, 2018. (EI)
  • Zhikang Fu, Bing Li, Jun Li, Shuhua Wei, Fast Film Genres Classification Combining Poster and Synopsis, 5th International Conference on Intelligent Science and Big Data Engineering (IScIDE), Suzhou, China: 72-81, 2015. (EI)
  • Jun Li, Changyin Sun, Junliang Xing, Weiming Hu, pVLAD: A discriminative image descriptor for image retrieval, 11th IEEE World Congress on Intelligent Control and Automation (WCICA), Shenyang, China: 93-98, 2014. (EI)
  • Jun Li, Shan Zhou, Junliang Xing, Changyin Sun, Weiming Hu, An efficient approach to web near-duplicate image detection, 2nd IAPR Asian Conference on Pattern Recognition (ACPR), Okinawa, Japan: 186-190, 2013. (EI)
  • Shan Zhou, Jun Li, Junliang Xing, Weiming Hu, Jinfeng Yang, Non-negative Sparse Coding Using Independent Multi-Codebooks for Near-Duplicate Image Detection, 4th International Conference on Intelligent Science and Big Data Engineering (IScIDE), Beijing, China: 152-159, 2013. (EI)
  • Ruiguang Hu, Weiming Hu, Jun Li, Saliency Driven Nonlinear Diffusion Filtering for Object Recognition, 2th IAPR Asian Conference on Pattern Recognition (ACPR), Okinawa, Japan: 381-385, 2013. (EI)

 

Contact:

+86 13770610040

lijuncst@njnu.edu.cn