| 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 | 576 | 2019 |
| RGB-T object tracking: benchmark and baseline C Li, X Liang, Y Lu, N Zhao, J Tang Pattern Recognition 96, 106977, 2019 | 413 | 2019 |
| Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking C Li, H Cheng, S Hu, X Liu, J Tang, L Lin IEEE Transactions on Image Processing 25 (12), 5743-5756, 2016 | 305 | 2016 |
| Weighted sparse representation regularized graph learning for RGB-T object tracking C Li, N Zhao, Y Lu, C Zhu, J Tang Proceedings of the 25th ACM international conference on Multimedia, 1856-1864, 2017 | 206 | 2017 |
| 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 | 195 | 2019 |
| RGB-T Image Saliency Detection via Collaborative Graph Learning Z Tu, T Xia, C Li, X Wang, Y Ma, J Tang IEEE Transactions on Multimedia 22 (1), 160-173, 2019 | 189 | 2019 |
| Multi-Adapter RGBT Tracking C Long Li, A Lu, A Hua Zheng, Z Tu, J Tang Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 188 | 2019 |
| RGBT salient object detection: A large-scale dataset and benchmark Z Tu, Y Ma, Z Li, C Li, J Xu, Y Liu IEEE Transactions on Multimedia 25, 4163-4176, 2022 | 186 | 2022 |
| Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection Z Tu, Z Li, C Li, Y Lang, J Tang IEEE Transactions on Image Processing, 2021 | 168 | 2021 |
| RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and a Novel Approach G Wang, C Li, Y Ma, A Zheng, J Tang, B Luo Chinese Conference on Image and Graphics Technologies, 359-369, 2018 | 158 | 2018 |
| LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking C Li, W Xue, Y Jia, Z Qu, B Luo, J Tang IEEE Transactions on Image Processing, 2021 | 155 | 2021 |
| Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting L Liu, J Chen, H Wu, G Li, C Li, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 151 | 2021 |
| Challenge-Aware RGBT Tracking C Li, L Liu, A Lu, Q Ji, J Tang European Conference on Computer Vision, 222-237, 2020 | 149 | 2020 |
| SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation X Wang, C Li, B Luo, J Tang IEEE Conference on Computer Vision and Pattern Recognition, 4864-4873, 2018 | 149 | 2018 |
| Segmenting objects in day and night: Edge-conditioned cnn for thermal image semantic segmentation C Li, W Xia, Y Yan, B Luo, J Tang IEEE Transactions on Neural Networks and Learning Systems, 2019 | 147 | 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 | 147 | 2019 |
| Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking C Li, C Zhu, Y Huang, J Tang, L Wang Proceedings of the European Conference on Computer Vision (ECCV), 808-823, 2018 | 147 | 2018 |
| 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 | 146 | 2020 |
| Attribute-based Progressive Fusion Network for RGBT Tracking Y Xiao, M Yang, C Li, L Liu, J Tang | 135 | 2022 |
| RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss A Lu, C Li, Y Yan, J Tang, B Luo IEEE Transactions on Image Processing, 2021 | 131 | 2021 |
Bin LuoAnhui University, University of YorkDirección de correo verificada de ahu.edu.cn
