| RGB-T object tracking: Benchmark and baseline C Li, X Liang, Y Lu, N Zhao, J Tang Pattern Recognition 96, 106977, 2019 | 328 | 2019 |
| Semi-supervised learning with graph learning-convolutional networks B Jiang, Z Zhang, D Lin, J Tang, B Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 323 | 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 | 258 | 2016 |
| Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing X Yang, J Yan, W Liao, X Yang, J Tang, T He IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2384-2399, 2022 | 211 | 2022 |
| Graph-Laplacian PCA: Closed-form solution and robustness B Jiang, C Ding, B Luo, J Tang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 171 | 2013 |
| 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 | 160 | 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 | 155 | 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 | 147 | 2019 |
| Multi-adapter RGBT tracking C Long Li, A Lu, A Hua Zheng, Z Tu, J Tang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 142 | 2019 |
| Sint++: Robust visual tracking via adversarial positive instance generation X Wang, C Li, B Luo, J Tang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 139 | 2018 |
| Pedestrian attribute recognition: A survey X Wang, S Zheng, R Yang, A Zheng, Z Chen, J Tang, B Luo Pattern Recognition 121, 108220, 2022 | 132 | 2022 |
| 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 | 125 | 2018 |
| 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 30, 5678-5691, 2021 | 120 | 2021 |
| 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 32 (7), 3069-3082, 2020 | 120 | 2020 |
| Fusing two-stream convolutional neural networks for RGB-T object tracking C Li, X Wu, N Zhao, X Cao, J Tang Neurocomputing 281, 78-85, 2018 | 119 | 2018 |
| RGB-T saliency detection benchmark: Dataset, baselines, analysis and a novel approach G Wang, C Li, Y Ma, A Zheng, J Tang, B Luo Image and Graphics Technologies and Applications: 13th Conference on Image …, 2018 | 117 | 2018 |
| 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 | 111 | 2019 |
| Challenge-aware RGBT tracking C Li, L Liu, A Lu, Q Ji, J Tang European conference on computer vision, 222-237, 2020 | 110 | 2020 |
| 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 | 109 | 2020 |
| A method for defensing against multi-source Sybil attacks in VANET X Feng, C Li, D Chen, J Tang Peer-to-Peer Networking and Applications 10, 305-314, 2017 | 102 | 2017 |
Bin LuoAnhui University, University of York在 ahu.edu.cn 的电子邮件经过验证
