This is a paper list of RGB-Thermal tracking algorithms.

1. GTOT-50 dataset: "Learning collaborative sparse representation for grayscale-thermal tracking" IEEE Transactions on Image Processing 25, no. 12 (2016): 5743-5756. Li, Chenglong, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, and Liang Lin.

2. RGBT-234 dataset: "RGB-T object tracking: benchmark and baseline." arXiv preprint arXiv:1805.08982 (2018). Li, Chenglong, Xinyan Liang, Yijuan Lu, Nan Zhao, and Jin Tang.

3. "Fusing two-stream convolutional neural networks for RGB-T object tracking." Neurocomputing 281 (2018): 78-85. Li, Chenglong, Xiaohao Wu, Nan Zhao, Xiaochun Cao, and Jin Tang.

4. "Weighted sparse representation regularized graph learning for RGB-T object tracking." In Proceedings of the 25th ACM international conference on Multimedia, pp. 1856-1864. ACM, 2017. Li, Chenglong, Nan Zhao, Yijuan Lu, Chengli Zhu, and Jin Tang.

5. "FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking." arXiv preprint arXiv:1811.09855 (2018). Zhu, Yabin, Chenglong Li, Yijuan Lu, Liang Lin, Bin Luo, and Jin Tang.

6. "Learning Local-Global Multi-Graph Descriptors for RGB-T Object Tracking." IEEE Transactions on Circuits and Systems for Video Technology (2018). Li, Chenglong, Chengli Zhu, Jian Zhang, Bin Luo, Xiaohao Wu, and Jin Tang.

7. "Two-stage modality-graphs regularized manifold ranking for RGB-T tracking." Signal Processing: Image Communication 68 (2018): 207-217. Li, Chenglong, Chengli Zhu, Shaofei Zheng, Bin Luo, and Jing Tang.

8. "Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking." In Proceedings of the European Conference on Computer Vision (ECCV), pp. 808-823. 2018. Li, Chenglong, Chengli Zhu, Yan Huang, Jin Tang, and Liang Wang.

9. "Fast RGB-T Tracking via Cross-Modal Correlation Filters." Neurocomputing 334 (2019): 172-181. Zhai, Sulan, Pengpeng Shao, Xinyan Liang, and Xin Wang.

10. "Grayscale-thermal object tracking via multitask laplacian sparse representation." IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 4 (2017): 673-681. Li, Chenglong, Xiang Sun, Xiao Wang, Lei Zhang, and Jin Tang.

11. "Robust collaborative discriminative learning for RGB-infrared tracking." In Thirty-Second AAAI Conference on Artificial Intelligence. 2018. Lan, Xiangyuan, Mang Ye, Shengping Zhang, and Pong C. Yuen.

12. Learning Target-oriented Dual Attention for Robust RGB-T Tracking, accepted by ICIP-2019, Rui Yang, Yabin Zhu, Xiao Wang, Chenglong Li, Jin Tang. [Paper]

13. Dense Feature Aggregation and Pruning for RGBT Tracking, Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang, accepted by ACM MM 2019 [Paper]

14. Multi-Adapter RGBT Tracking, Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang, arXiv Preprint arXiv:1907.07485, ICCV-2019 workshop Paper Code

15. Zhang, X., Ye, P., Leung, H., Gong, K., & Xiao, G. (2020). Object Fusion Tracking Based on Visible and Infrared Images: A Comprehensive Review. Information Fusion. [Paper]

16. Cross-Modal Pattern-Propagation for RGB-T Tracking Chaoqun Wang, Chunyan Xu, Zhen Cui, Ling Zhou, Tong Zhang, Xiaoya Zhang, Jian Yang [cvpr-2020]

17. Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking. Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang [arXiv pre-print]

18. LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark [ACM MM 2020]