Selected Publications

Note: * indicates that I am the corresponding author.

Preprint

Chenglong Li, Yu Xie, Aihua Zheng, Chang Tan, Ruoran Jia, and Jin Tang. Multi-type Occlusion-aware Network for Vehicle Keypoint Detection. IEEE Transactions on Intelligent Transportation Systems (T-ITS), minor revisions.

Yabin Zhu, Chenglong Li*, Yao Liu, Xiao Wang, Jin Tang, and Bin Luo, and Zhixiang Huang. Tiny Object Tracking: A Large-scale Dataset and A Baseline. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), major revisions.

Chenglong Li, Xiaobin Yang, Guohao Wang, Aihua Zheng, Chang Tan, Ruoran Jia, and Jin Tang. Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset. IEEE Transactions on Image Processing (T-IP), minor revisions.

Lei Liu, Chenglong Li*, Yuqing Yan, Yun Xiao, and Jin Tang. Quality-Aware RGBT Tracking via Supervised Reliability Learning and Weighted Residual Guidance. Submitted to IEEE Transactions on Neural Networks and Learning Systems (T-NNLS).

Aihua Zheng, Weijun Zhang, Hongchao Li, Chenglong Li*, Shuping He, and Bin Luo. Keypoint Guiding Network for Cross-resolution Vehicle Re-identification. Submitted to IEEE Transactions on Neural Networks and Learning Systems (T-NNLS).

Aihua Zheng, Fan Yuan, Jiaxiang Wang, Chenglong Li*, Chao Tao, and Jin Tang. Public-private Attributes-based Variational Adversarial Network for Audio-Visual Cross-Modal Matching. Submitted to IEEE Transactions on Multimedia (T-MM).

2023

Andong Lu, Cun Qian, Chenglong Li*, Jin Tang, and Liang Wang. Duality-Gated Mutual Condition Network for RGBT Tracking. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2023.

Jiaxiang Wang, Chenglong Li, Aihua Zheng, Jin Tang, Bin Luo. Looking and Hearing into Details: Dual-enhanced Siamese Adversarial Network for Audio-visual Matching. IEEE Transactions on Multimedia (T-MM), 2023.

Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li*, Jieming Xu, and Yongtao Liu. RGBT Salient Object Detection: A Large-scale Dataset and Benchmark. IEEE Transactions on Multimedia (T-MM), 2023.

Aihua Zheng, Jinbo He, Ming Wang, Chenglong Li*, and Bin Luo. Category-wise Fusion and Enhancement Learning for Multi-Modal Remote Sensing Image Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2023.

Chao Fan, Hongyuan Yu, Yan Huang, Caifeng Shan, Liang Wang, and Chenglong Li*. SiamON: Siamese Occlusion-aware Network for Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023.

Zhengzheng Tu, Wenfang Yang, Kunpeng Wang, Amir Hussain, Bin Luo, and Chenglong Li*. Multimodal Salient Object Detection via Adversarial Learning with Collaborative Generator. Engineering Applications of Artificial Intelligence (EAAI), 2023.

郑爱华, 冯孟雅, 李成龙*, 汤进, 罗斌. 面向跨模态行人重识别的双向动态交互网络. 计算机辅助设计与图形学学报, 2023.

李成龙, 鹿安东, 刘磊, 汤进. 多模态视觉跟踪方法综述. 中国图象图形学报, 2023.

2022

Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, and Sulan Zhai. Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark. AAAI Conference on Artificial Intelligence (AAAI), 2022.

Yun Xiao, Mengmeng Yang, Chenglong Li*, Lei Liu, and Jin Tang. Attribute-based Progressive Fusion Network for RGBT Tracking. AAAI Conference on Artificial Intelligence (AAAI), 2022.

Zi Wang, Chenglong Li, Aihua Zheng, Ran He, and Jin Tang. Interact, Embed and EnlargE: Boosting Modality-specific Representations for Multi-Modal Person Re-identification. AAAI Conference on Artificial Intelligence (AAAI), 2022.

Aihua Zheng, Peng Pan, Hongchao Li, Chenglong Li*, Bin Luo, Chang Tan, Ruoran Jia. Progressive Attribute Embedding for Accurate Cross-modality Person Re-ID. ACM International Conference on Multimedia (ACM MM), 2022.

Chenglong Li, Wanlin Xue, Yaqing Jia, Zhichen Qu, Bin Luo, Jin Tang, and Dengdi Sun. LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking. IEEE Transactions on Image Processing (T-IP), 31: 392-404, 2022.

Zhengzheng Tu, Zhun Li, Chenglong Li*, and Jin Tang. Weakly Alignment-free RGBT Salient Object Detection with Deep Correlation Network. IEEE Transactions on Image Processing (T-IP), 31: 3752-3764, 2022.

Zhengzheng Tu, Chun Lin, Wei Zhao, Chenglong Li*, and Jin Tang. M5L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking. IEEE Transactions on Image Processing (T-IP), 31: 85-98, 2022.

Hongchao Li, Chenglong Li, Aihua Zheng, Jin Tang, and Bin Luo. Attribute and State Guided Structural Embedding Network for Vehicle Re-identification. IEEE Transactions on Image Processing (T-IP), 31: 5949-5962, 2022.

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), 33(9): 5019-5031, 2022.

Qin Xu, Yiming Mei, Jinpei Liu, and Chenglong Li*. Multimodal Cross-Layer Bilinear Pooling for RGBT Tracking. IEEE Transactions on Multimedia (T-MM), 24: 567-580, 2022.

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), 32(2): 1051-8215, 2022.

Aihua Zheng, Xia Sun, Chenglong Li*, and Jin Tang. Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 23(8): 11422-11435, 2022.

Hongchao Li, Chenglong Li, Aihua Zheng, Jin Tang, and Bin Luo. MsKAT: Multi-scale Knowledge-Aware Transformer for Vehicle Re-identification. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 23(10): 19557-19568, 2022.

Aihua Zheng, Ming Wang, Chenglong Li*, Jin Tang, and Bin Luo. Entropy Guided Adversarial Domain Adaptation for Aerial Image Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 60: 5405614, 2022.

Zhengzheng Tu, Chao Wang, Chenglong Li*, Minghao Fan, Haifeng Zhao, and Bin Luo. ORSI Salient Object Detection via Multiscale Joint Region and Boundary Model. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 60: 5607913, 2022.

Qiuyu Kong (Undergraduate student), Jin Tang, Chenglong Li, Xin Wang, and Jian Zhang. An Ensemble of Complementary Models for Deep Tracking. Cognitive Computation (COGN), 14: 1096–1106, 2022.

Zhengzheng Tu, Wenli Pan, Yunsheng Duan, Jin Tang, and Chenglong Li*. RGBT Tracking via Reliable Feature Configuration. SCIENCE CHINA Information Sciences (SCIS), 65(4): 142101, 2022.

Futian Wang, Yin Guo, Chenglong Li, Andong Lu, Zhongfeng Ding, Jin Tang and Bin Luo. Electrical Thermal Image Semantic Segmentation: Large-Scale Dataset and Baseline. IEEE Transactions on Instrumentation and Measurement (TIM), 71: 1-13, 2022.

Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He and Amir Hussain. Attributes Guided Feature Learning for Vehicle Re-identification. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5): 1211-1221, 2022.

Yifei Deng, Chenglong Li, Andong Lu, Wenjie Li, and Bin Luo. Factory Extraction from Satellite Images: Benchmark and Baseline. Remote Sensing, 14(2): 5657, 2022.

Shangze Li, Andong Lu, Yan Huang, Chenglong Li* and Liang Wang. Joint Token and Feature Alignment Framework for Text-Based Person Search. IEEE Signal Processing Letters (SPL), 29: 2238-2242, 2022.

王福田, 张淑云, 李成龙*, 罗斌. 动态模态交互和特征自适应融合的RGBT跟踪. 中国图象图形学报, 27(10): 3010-3021, 2022.

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.

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), 30: 5613-5625, 2021.

Zhengzheng Tu, Zhun Li, Chenglong Li*, Yang Lang, Jin Tang. Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection. IEEE Transactions on Image Processing (T-IP), 30: 5678-5691, 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), 32(7): 3069-3082, 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.

Rui Yang, Xiao Wang, Chenglong Li*, Jinmin Hu, and Jin Tang. RGBT Tracking via Cross-modality Message Passing. Neurocomputing (NEUCOM), 462: 365-375, 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.

Futian Wang, Xiaoping Wang, Jin Tang, Bin Luo, and Chenglong Li*. VTAAN: Visual Tracking with Attentive Adversarial Network. Cognitive Computation (COGN), 13: 646–656, 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), 18: 443–456, 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]