| 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 | 94 | 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 | 92 | 2016 |
| RGB-T object tracking: benchmark and baseline C Li, X Liang, Y Lu, N Zhao, J Tang Pattern Recognition 96, 106977, 2019 | 82 | 2019 |
| PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence K Wang, L Lin, J Lu, C Li, K Shi IEEE Transactions on Image Processing 24 (10), 3019 - 3033, 2015 | 81 | 2015 |
| 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 | 63 | 2018 |
| SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation C Li, L Lin, W Zuo, S Yan, J Tang IEEE Conference on Computer Vision and Pattern Recognition, 5519-5527, 2015 | 54 | 2015 |
| Weighted low-rank decomposition for robust grayscale-thermal foreground detection C Li, X Wang, L Zhang, J Tang, H Wu, L Lin IEEE Transactions on Circuits and Systems for Video Technology 27 (4), 725-738, 2017 | 53 | 2017 |
| Grayscale-Thermal Object Tracking via Multitask Laplacian Sparse Representation C Li, X Sun, X Wang, L Zhang, J Tang IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (4), 673-681, 2017 | 43 | 2017 |
| An Approach to Streaming Video Segmentation with Sub-optimal Low-rank Decomposition C Li, L Lin, W Zuo, W Wang, J Tang IEEE Transactions on Image Processing, 2016 | 42 | 2016 |
| Visual Tracking via Dynamic Graph Learning C Li, L Lin, W Zuo, J Tang, MH Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 38 | 2018 |
| 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 | 38 | 2017 |
| 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 | 35 | 2018 |
| 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 | 30 | 2018 |
| Learning Patch-Based Dynamic Graph for Visual Tracking C Li, L Lin, W Zuo, J Tang AAAI Conference on Artificial Intelligence, 2017 | 27 | 2017 |
| Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences L Lin, W Yang, C Li, J Tang, X Cao IEEE Transactions on Cybernetics, 2016 | 22 | 2016 |
| Real-Time Grayscale-Thermal Tracking via Laplacian Sparse Representation C Li, S Hu, S Gao, J Tang International Conference on MultiMedia Modeling, 54-65, 2016 | 18 | 2016 |
| 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 | 15 | 2019 |
| 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 | 15* | 2018 |
| Attributes Guided Feature Learning for Vehicle Re-identification A Zheng, X Lin, C Li, R He, J Tang arXiv preprint arXiv:1905.08997, 2019 | 14 | 2019 |
| FANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking Y Zhu, C Li, B Luo, J Tang arXiv preprint arXiv:1811.09855, 2018 | 14 | 2018 |
Bin LuoAnhui University, University of YorkVerified email at ahu.edu.cn
