Journal Articles

  1. Chenglong Li, Wei Xia, Yan Yan, Bin Luo, and Jin Tang. Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation. arXiv:1907.10303, 2019.

  2. Yabin Zhu, Chenglong Li *, Yijuan Lu, Liang Lin, Bin Luo, and Jin Tang. FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking. [arXiv]

  3. Xiao Wang, Chenglong Li, Rui Yang, Tianzhu Zhang, Jin Tang, Bin Luo. Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking. [arXiv]

Selected Publications (* indicates I am the corresponding author)

  1. Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, and Jin Tang. RGB-T Object Tracking: Benchmark and Baseline. Pattern Recognition (PR), in press. [arXiv] [Dataset: Google drive, Baidu cloud] [Project page]

  2. Aihua Zheng, Naipeng Ye, Chenglong Li *, Xiao Wang, and Jin Tang. Multi-modal Foreground Detection via Inter- and Intra-Modality-Consistent Low-Rank Separation. Neurocomputing (NEUCOM), in press.

  3. Zhengzheng Tu, Tian Xia, Chenglong Li *, Xiaoxiao Wang, Yan Ma, and Jin Tang. RGB-T Image Saliency Detection via Collaborative Graph Learning. IEEE Transactions on Multimedia (TMM), in press.

  4. Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, and Ming-Hsuan Yang. Visual Tracking via Dynamic Graph Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), in press.

  5. Chenglong Li, Chengli Zhu, Jian Zhang, Bin Luo, Xiaohao Wu, and Jin Tang. Learning Local-Global Multi-Graph Descriptors for RGB-T Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), in press.

  6. Aihua Zheng, Xuehan Zhang, Bo Jiang, Bin Luo, and Chenglong Li *. A Subspace Learning Approach to Multi-Shot Person Re-Identification. IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCS), in press.

  7. Bo Jiang, Yuan Zhang, Jin Tang, Bin Luo, and Chenglong Li *. Robust Visual Tracking via Laplacian Regularized Random Walk Ranking. Neurocomputing (NEUCOM), 339: 139-148, 2019.

  8. Aihua Zheng, Tian Zou, Yumiao Zhao, Bo Jiang, Jin Tang, and Chenglong Li * . Background Subtraction with Multi-scale Structured Low-Rank and Sparse Factorization. Neurocomputing (NEUCOM), 328: 113-121, 2019.

  9. Xiao Wang, Tao Sun, Rui Yang, Chenglong Li, Bin Luo, and Jin Tang. Quality–Aware Dual–Modal Saliency Detection via Deep Reinforcement Learning. Signal Processing: Image Communication (SPIC), 75: 158-167, 2019.

  10. Zhengzheng Tu, Linlin Guo, Chenglong Li, Ziwei Xiong, and Xiao Wang. Minimum Barrier Distance-Based Object Descriptor for Visual Tracking. Applied Sciences, 8(11): 2233, 2018.

  11. Sen Yang, Bin Luo, Chenglong Li *. Guizhao Wang, and Jin Tang. Fast Grayscale-Thermal Foreground Detection with Collaborative Low-Rank Decomposition. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 28(10): 2574 - 2585, 2018.

  12. Chenglong Li, Xiaohao Wu, Nan Zhao, Xiaochun Cao, and Jin Tang. Fusing Two-Stream Convolutional Neural Networks for RGB-T Object Tracking. Neurocomputing (NEUCOM), 281: 78-85, 2018.

  13. Chenglong Li, Chengli Zhu, Shaofei Zheng, Bin Luo, and Jin Tang. Two-Stage Modality-Graphs Regularized Manifold Ranking for RGB-T Tracking. Signal Processing: Image Communication (SPIC), 68: 207-217, 2018.

  14. Chenglong Li, Zhimin Bao, Xiao Wang, and Jin Tang. Moving Object Detection via Robust Background Modeling with Recurring Patterns Voting. Multimedia Tools and Applications (MTAP), 77(11): 13557-13570, 2018.

  15. Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, and Liang Lin. WELD: Weighted Low-rank Decomposition  or Robust Grayscale-Thermal Foreground Detection. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(4): 725-738, 2017. [Project page with Dataset and Code]

  16. Aihua Zheng, Minghe Xu, Bin Luo, Zhili Zhou, and Chenglong Li *. CLASS: Collaborative Low-rank and Sparse Separation for Moving Object Detection. Cognitive Computation (COGN), 9(2): 180-193, 2017. [Data]

  17. Chenglong Li, Xiang Sun, Xiao Wang, Lei Zhang, and Jin Tang. Grayscale-thermal Object Tracking via Multi-task Laplacian Sparse Representation. IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCS), 47(4): 673-681, 2017. [Dataset: Google drive, Baidu cloud]

  18. Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, and Liang Lin.Learning Collaborative Sparse Representation for Grayscale-thermal Tracking.  IEEE Transactions on Image Processing (T-IP), 25(12): 5743-5756, 2016.  [Code] [Dataset: Google drive, Baidu Cloud] [Attribute annotation] [Baseline]

  19. Chenglong Li, Liang Lin, Wangmeng Zuo, Wenzhong Wang, and Jin Tang.An Approach to Streaming Video Segmentation with Sub-Optimal Low-rank Decomposition. IEEE Transactions on Image Processing (T-IP), 25(5): 1947-1960, 2016. [Code.rar] [Results.rar ]

  20. Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo. Detection-free Multi-object Tracking by Reconfigurable Inference with Bundle  Representations.  IEEE Transactions on Cybernetics (T-CYB), 46(11): 2447-2458, 2016.

  21. Liang Lin, Wei Yang, Chenglong Li, Jin Tang, and Xiaochun Cao. Inference with Cooperative Model for Interactive Medical Image Sequence Segmentation. IEEE Transactions on Cybernetics (T-CYB), 46(12): 2796-2809, 2016.  [Project page with dataset]

  22. Aihua Zheng, Lei Zhang, Wei Zhang, Chenglong Li, Jin Tang, and Bin Luo. Local-to-Global Background Modeling  or Moving Object Detection from Non-static Cameras. Multimedia Tools and Applications (MTAP), 76(8): 11003-11019, 2017.

  23. Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, and Keyang Shi.PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence. IEEE Transactions on Image Processing (T-IP), 24(10): 3019-3033, 2015.  [Project page with code and dataset] [ESI Highly Cited Paper]


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