| Triplet loss in siamese network for object tracking X Dong, J Shen Proceedings of the European conference on computer vision (ECCV), 459-474, 2018 | 697 | 2018 |
| Occlusion-aware real-time object tracking X Dong, J Shen, D Yu, W Wang, J Liu, H Huang IEEE Transactions on Multimedia 19 (4), 763-771, 2017 | 239 | 2017 |
| Salient object detection driven by fixation prediction W Wang, J Shen, X Dong, A Borji Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 236 | 2018 |
| Inferring salient objects from human fixations W Wang, J Shen, X Dong, A Borji, R Yang IEEE transactions on pattern analysis and machine intelligence 42 (8), 1913-1927, 2019 | 226 | 2019 |
| Sub-Markov random walk for image segmentation X Dong, J Shen, L Shao, L Van Gool IEEE Transactions on Image Processing 25 (2), 516-527, 2016 | 221 | 2016 |
| Hyperparameter optimization for tracking with continuous deep q-learning X Dong, J Shen, W Wang, Y Liu, L Shao, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 192 | 2018 |
| Dynamical hyperparameter optimization via deep reinforcement learning in tracking X Dong, J Shen, W Wang, L Shao, H Ling, F Porikli IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 183 | 2019 |
| Quadruplet network with one-shot learning for fast visual object tracking X Dong, J Shen, D Wu, K Guo, X Jin, F Porikli IEEE Transactions on Image Processing 28 (7), 3516-3527, 2019 | 173 | 2019 |
| Visual object tracking by hierarchical attention siamese network J Shen, X Tang, X Dong, L Shao IEEE transactions on cybernetics 50 (7), 3068-3080, 2019 | 171 | 2019 |
| Distilled Siamese networks for visual tracking J Shen, Y Liu, X Dong, X Lu, FS Khan, S Hoi IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 8896 …, 2021 | 144* | 2021 |
| 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 | 119 | 2021 |
| CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers X Dong, J Shen, L Shao, F Porikli Proceedings of the European Conference on Computer Vision (ECCV), 378-395, 2020 | 100 | 2020 |
| Interactive cosegmentation using global and local energy optimization X Dong, J Shen, L Shao, MH Yang IEEE Transactions on Image Processing 24 (11), 3966-3977, 2015 | 96 | 2015 |
| Learning to Fuse Asymmetric Feature Maps in Siamese Trackers W Han, X Dong, FS Khan, L Shao, J Shen Proceedings of the IEEE conference on computer vision and pattern …, 2021 | 90 | 2021 |
| Fast online tracking with detection refinement J Shen, D Yu, L Deng, X Dong IEEE Transactions on Intelligent Transportation Systems 19 (1), 162-173, 2017 | 88 | 2017 |
| Higher order energies for image segmentation J Shen, J Peng, X Dong, L Shao, F Porikli IEEE Transactions on Image Processing 26 (10), 4911-4922, 2017 | 82 | 2017 |
| Reducing estimation bias via triplet-average deep deterministic policy gradient D Wu, X Dong, J Shen, SCH Hoi IEEE transactions on neural networks and learning systems 31 (11), 4933-4945, 2020 | 74 | 2020 |
| Referring multi-object tracking D Wu, W Han, T Wang, X Dong, X Zhang, J Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 56 | 2023 |
| Submodular function optimization for motion clustering and image segmentation J Shen, X Dong, J Peng, X Jin, L Shao, F Porikli IEEE transactions on neural networks and learning systems 30 (9), 2637-2649, 2019 | 53 | 2019 |
| Multi-level representation learning with semantic alignment for referring video object segmentation D Wu, X Dong, L Shao, J Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 49 | 2022 |
Jianbing ShenProfessor, University of MacauVerified email at um.edu.mo
