| The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 573 | 2019 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 342 | 2020 |
| The ninth visual object tracking vot2021 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 123 | 2021 |
| The tenth visual object tracking vot2022 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 431-460, 2022 | 63 | 2022 |
| Complementary discriminative correlation filters based on collaborative representation for visual object tracking XF Zhu, XJ Wu, T Xu, ZH Feng, J Kittler IEEE Transactions on Circuits and Systems for Video Technology 31 (2), 557-568, 2020 | 56 | 2020 |
| Exploring fusion strategies for accurate RGBT visual object tracking Z Tang, T Xu, H Li, XJ Wu, XF Zhu, J Kittler Information Fusion 99, 101881, 2023 | 53 | 2023 |
| Robust visual object tracking via adaptive attribute-aware discriminative correlation filters XF Zhu, XJ Wu, T Xu, ZH Feng, J Kittler IEEE Transactions on Multimedia 24, 301-312, 2021 | 51 | 2021 |
| RGBD1K: A large-scale dataset and benchmark for RGB-D object tracking XF Zhu, T Xu, Z Tang, Z Wu, H Liu, X Yang, XJ Wu, J Kittler Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 3870-3878, 2023 | 36 | 2023 |
| Adaptive feature fusion for visual object tracking S Zhao, T Xu, XJ Wu, XF Zhu Pattern Recognition 111, 107679, 2021 | 34 | 2021 |
| The 3rd anti-uav workshop & challenge: Methods and results J Zhao, J Li, L Jin, J Chu, Z Zhang, J Wang, J Xia, K Wang, Y Liu, ... arXiv preprint arXiv:2305.07290, 2023 | 32 | 2023 |
| Learning spatio-temporal discriminative model for affine subspace based visual object tracking T Xu, XF Zhu, XJ Wu Visual Intelligence 1 (1), 4, 2023 | 25 | 2023 |
| VisDrone-SOT2020: The vision meets drone single object tracking challenge results H Fan, L Wen, D Du, P Zhu, Q Hu, H Ling, M Shah, B Wang, B Dong, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 19 | 2020 |
| Generative-based fusion mechanism for multi-modal tracking Z Tang, T Xu, X Wu, XF Zhu, J Kittler Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5189-5197, 2024 | 17 | 2024 |
| The first visual object tracking segmentation vots2023 challenge results M Kristan, J Matas, M Danelljan, M Felsberg, HJ Chang, LČ Zajc, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Visual object tracking on multi-modal RGB-D videos: a review XF Zhu, T Xu, XJ Wu arXiv preprint arXiv:2201.09207, 2022 | 10 | 2022 |
| UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning XF Zhu, T Xu, Z Liu, Z Tang, XJ Wu, J Kittler International Journal of Computer Vision, 1-16, 2024 | 8 | 2024 |
| Evidential detection and tracking collaboration: New problem, benchmark and algorithm for robust anti-uav system XF Zhu, T Xu, J Zhao, JW Liu, K Wang, G Wang, J Li, Q Wang, L Jin, Z Zhu, ... arXiv preprint arXiv:2306.15767, 2023 | 8 | 2023 |
| Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Method Z Tang, T Xu, Z Feng, X Zhu, H Wang, P Shao, C Cheng, XJ Wu, M Awais, ... arXiv preprint arXiv:2405.00168, 2024 | 3 | 2024 |
| Self-supervised learning for RGB-D object tracking XF Zhu, T Xu, S Atito, M Awais, XJ Wu, Z Feng, J Kittler Pattern Recognition, 110543, 2024 | 3 | 2024 |
| Learning Adaptive Spatio-Temporal Inference Transformer for Coarse-to-Fine Animal Visual Tracking: Algorithm and Benchmark T Xu, Z Kang, X Zhu, XJ Wu International Journal of Computer Vision, 1-15, 2024 | 2 | 2024 |
Tianyang XuJiangnan UniversityEmail verificata su jiangnan.edu.cn