Selected Publications

Preprint

Andong Lu, Chenglong Li*, Yuqing Yan, Jin Tang, and Bin Luo. RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss. IEEE Transactions on Image Processing (T-IP), major revisions.

Zhengzheng Tu, Zhun Li, Chenglong Li*, Yang Lang, Jin Tang. Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection. IEEE Transactions on Image Processing (T-IP), major revisions.

2021

Aihua Zheng, Zi Wang, Zihan Chen, Chenglong Li*, and Jin Tang. Robust Multi-Modality Person Re-Identification. AAAI Conference on Artificial Intelligence (AAAI), 2021.

Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, and Liang Lin. Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

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. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021.

Chenglong Li, Zhiqiang Xiang, Jin Tang, Bin Luo, and Futian Wang. RGBT Tracking via Noise-Robust Cross-Modal Ranking. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021.

Qin Xu, Yiming Mei, Jinpei Liu, and Chenglong Li*. Multimodal Cross-Layer Bilinear Pooling for RGBT Tracking. IEEE Transactions on Multimedia (T-MM), 2021.

Yabin Zhu, Chenglong Li*, Jin Tang, Bin Luo, and Liang Wang. RGBT Tracking by Trident Fusion Network. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021.

Zhengzheng Tu, Yan Ma, Chenglong Li*, Jin Tang, Bin Luo. Edge-guided Non-local Fully Convolutional Network for Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 31(2): 582-593, 2021.

Yabin Zhu, Chenglong Li*, Jin Tang, and Bin Luo. Quality-Aware Feature Aggregation Network for Robust RGBT Tracking. IEEE Transactions on Intelligent Vehicles (T-IV), 6(1): 121-130, 2021.

Youmin Yan (Undergraduate student), Xixian Guo, Jin Tang, Chenglong Li, and Xin Wang. Learning Spatio-temporal Correlation Filter for Visual Tracking. Neurocomputing (NEUCOM), 436: 273-282, 2021.

Qiuyu Kong (Undergraduate student), Jin Tang, Chenglong Li, Xin Wang, and Jian Zhang. An Ensemble of Complementary Models for Deep Tracking. Cognitive Computation (COGN), 2021.

Futian Wang, Xiaoping Wang, Jin Tang, Bin Luo, and Chenglong Li*. VTAAN: Visual Tracking with Attentive Adversarial Network. Cognitive Computation (COGN), 2021.

Zhengzheng Tu, Wenli Pan, Yunsheng Duan, Jin Tang, and Chenglong Li*. RGBT Tracking via Reliable Feature Configuration. SCIENCE CHINA Information Sciences (SCIS), 2021.

Aihua Zheng, Zihan Chen, Chenglong Li*, Jin Tang, and Bin Luo. Learning Deep RGBT Representations for Robust Person Re-identification. International Journal of Automation and Computing (IJAC), 2021.

2020

Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang. Challenge-Aware RGBT Tracking. European Conference on Computer Vision (ECCV), 2020.

Hongchao Li, Chenglong Li, Xianpeng Zhu, Aihua Zheng, Bin Luo. Multi-Spectral Vehicle Re-Identification: A Challenge. AAAI Conference on Artificial Intelligence (AAAI), 2020.

Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, and Feng Zheng. LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark. ACM International Conference on Multimedia (ACM MM), 2020.

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), 50(1): 149-158, 2020.

Jin Tang, Dongzhe Fan, Xiaoxiao Wang, Zhengzheng Tu, Chenglong Li. RGBT Salient Object Detection: Benchmark and A Novel Cooperative Ranking Approach. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 30(12): 4421-4433, 2020.

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 (T-MM), 22(1): 160-173, 2020.

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), 371: 27-38, 2020.

2019

Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, and Xiao Wang. Dense Feature Aggregation and Pruning for RGBT Tracking. ACM International Conference on Multimedia (ACM MM), 2019.

Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, and Jin Tang. Multi-Adapter RGBT Tracking. International Conference on Computer Vision Workshops (ICCVW), 2019.

Yuan Gao, Chenglong Li, Yabin Zhu, Jin Tang, Tao He, and Futian Wang. Deep Adaptive Fusion Network for High Performance RGBT Tracking. International Conference on Computer Vision Workshops (ICCVW), 2019.

Chao Fan, Yulong Wang, Chenglong Li*, and Jin Tang. Visual Tracking via Siamese Network with Global Similarity. IEEE International Conference on Image Processing (ICIP), 2019.

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), 41(11): 2770-2782, 2019.

Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, and Jin Tang. RGB-T Object Tracking: Benchmark and Baseline. Pattern Recognition (PR), 96: 106977, 2019.

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), 29(10): 2913-2926, 2019.

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.

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.

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.

2018

Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, and Liang Wang. Cross-Modal Ranking with Soft-Consistency and Noisy Labels for Robust RGB-T Tracking. European Conference on Computer Vision (ECCV), 2018.

Xiao Wang, Chenglong Li, Jin Tang, and Bin Luo. SINT++: Robust Visual Tracking via Adversarial Positive Instance  Generation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Project page]

Ran Zhong, Wenzhong Wang, Chenglong Li, Aihua Zheng, and Jin Tang. Exploring Scene Geometry For Scale Adaptive Object Tracking In Surveillance Videos. IEEE International Conference on Image Processing (ICIP), 2018.

Aihua Zheng, Yumiao Zhao, Chenglong Li*, Jin Tang, and Bin Luo. Moving Object Detection via Robust Low-Rank and Sparse Separating with High-Order Structural Constraint, IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018. (Oral)

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.

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.

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.

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.

2017

Chenglong Li, Nan Zhao, Yijuan Lu, Chengli Zhu, and Jin Tang. Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking. ACM International Conference on Multimedia (ACM MM), 2017. (Full paper, Oral presentation)

Chenglong Li, Xiaohao Wu, Zhimin Bao, and Jin Tang. ReGLe: Spatially Regularized Graph Learning for Visual Tracking. ACM International Conference on Multimedia (ACM MM), 2017. (Full paper)

Chenglong Li, Liang Lin, Wangmeng Zuo, and Jin Tang. Learning Patch-based Dynamic Graph for Visual Tracking. AAAI Conference on Artificial Intelligence (AAAI), 2017. (Oral presentation)

Wenzhong Wang, Qiaoqiao Zhang, Bin Luo, Jin Tang, Rui Ruan, and Chenglong Li*. Selecting Attentive Frames from Visually Coherent Chunks for Surveillance Video Summarization. IEEE International Conference on Image Processing (ICIP), 2017.

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.

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.

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.

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.

2016

Chenglong Li, Shiyi Hu, Sihan Gao, and Jin Tang. Real-time Grayscale-thermal Tracking  via Laplacian Sparse Representation. International Conference on Multimedia Modelling (MMM), Miami, 2016.

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.  

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.

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.

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]

2015

Chenglong Li, Liang Lin, Wangmeng Zuo, Shuicheng Yan, and Jin Tang. SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, 2015.

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]