| Dense feature aggregation and pruning for RGBT tracking Y Zhu, C Li, B Luo, J Tang, X Wang Proceedings of the 27th ACM International Conference on Multimedia, 465-472, 2019 | 156 | 2019 |
| Deep adaptive fusion network for high performance RGBT tracking Y Gao, C Li, Y Zhu, J Tang, T He, F Wang Proceedings of the IEEE/CVF International conference on computer vision …, 2019 | 113 | 2019 |
| Quality-aware feature aggregation network for robust RGBT tracking Y Zhu, C Li, J Tang, B Luo IEEE Transactions on Intelligent Vehicles 6 (1), 121-130, 2020 | 110 | 2020 |
| RGBT tracking by trident fusion network Y Zhu, C Li, J Tang, B Luo, L Wang IEEE Transactions on Circuits and Systems for Video Technology 32 (2), 579-592, 2021 | 67 | 2021 |
| Learning target-oriented dual attention for robust RGB-T tracking R Yang, Y Zhu, X Wang, C Li, J Tang arXiv preprint arXiv:1908.04441, 2019 | 42 | 2019 |
| Tiny object tracking: A large-scale dataset and a baseline Y Zhu, C Li, Y Liu, X Wang, J Tang, B Luo, Z Huang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 21 | 2023 |
| Deep Triply Attention Network for RGBT Tracking R Yang, X Wang, Y Zhu, J Tang Cognitive Computation 15 (6), 1934-1946, 2023 | 3 | 2023 |
| CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras Y Zhu, X Wang, C Li, B Jiang, L Zhu, Z Huang, Y Tian, J Tang arXiv preprint arXiv:2401.02826, 2024 | 1 | 2024 |
Chenglong Li (李成龙)Professor in Artificial Intelligence at Anhui University, Hefei, ChinaVerified email at ahu.edu.cn
