| Hedged deep tracking Y Qi, S Zhang, L Qin, H Yao, Q Huang, J Lim, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 796 | 2016 |
| The unmanned aerial vehicle benchmark: Object detection and tracking D Du, Y Qi, H Yu, Y Yang, K Duan, G Li, W Zhang, Q Huang, Q Tian Proceedings of the European conference on computer vision (ECCV), 370-386, 2018 | 422 | 2018 |
| Reverie: Remote embodied visual referring expression in real indoor environments Y Qi, Q Wu, P Anderson, X Wang, WY Wang, C Shen, A Hengel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 131 | 2020 |
| Hedging deep features for visual tracking Y Qi, S Zhang, L Qin, Q Huang, H Yao, J Lim, MH Yang IEEE transactions on pattern analysis and machine intelligence 41 (5), 1116-1130, 2018 | 118 | 2018 |
| Vln bert: A recurrent vision-and-language bert for navigation Y Hong, Q Wu, Y Qi, C Rodriguez-Opazo, S Gould Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021 | 88 | 2021 |
| Robust visual tracking via basis matching S Zhang, X Lan, Y Qi, PC Yuen IEEE Transactions on Circuits and Systems for Video Technology 27 (3), 421-430, 2016 | 83 | 2016 |
| Video object segmentation with re-identification X Li, Y Qi, Z Wang, K Chen, Z Liu, J Shi, P Luo, X Tang, CC Loy arXiv preprint arXiv:1708.00197, 2017 | 79 | 2017 |
| The visual object tracking VOT2014 challenge results SJ Hadfield, K Lebeda, R Bowden European Conference on Computer Vision (ECCV) Visual Object Tracking …, 2014 | 73 | 2014 |
| Language and visual entity relationship graph for agent navigation Y Hong, C Rodriguez, Y Qi, Q Wu, S Gould Advances in Neural Information Processing Systems 33, 7685-7696, 2020 | 62 | 2020 |
| Point-to-set distance metric learning on deep representations for visual tracking S Zhang, Y Qi, F Jiang, X Lan, PC Yuen, H Zhou IEEE Transactions on Intelligent Transportation Systems 19 (1), 187-198, 2017 | 56 | 2017 |
| Object-and-action aware model for visual language navigation Y Qi, Z Pan, S Zhang, A van den Hengel, Q Wu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 54 | 2020 |
| Structure-aware local sparse coding for visual tracking Y Qi, L Qin, J Zhang, S Zhang, Q Huang, MH Yang IEEE Transactions on Image Processing 27 (8), 3857-3869, 2018 | 50 | 2018 |
| Learning attribute-specific representations for visual tracking Y Qi, S Zhang, W Zhang, L Su, Q Huang, MH Yang Proceedings of the AAAI conference on artificial intelligence 33 (01), 8835-8842, 2019 | 42 | 2019 |
| Visdrone-sot2018: The vision meets drone single-object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, C Liu, H Cheng, X Liu, W Ma, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 36 | 2018 |
| Plant identification based on very deep convolutional neural networks H Zhu, Q Liu, Y Qi, X Huang, F Jiang, S Zhang Multimedia Tools and Applications 77, 29779-29797, 2018 | 33 | 2018 |
| The road to know-where: An object-and-room informed sequential bert for indoor vision-language navigation Y Qi, Z Pan, Y Hong, MH Yang, A Van Den Hengel, Q Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 27* | 2021 |
| BoMW: Bag of manifold words for one-shot learning gesture recognition from kinect L Zhang, S Zhang, F Jiang, Y Qi, J Zhang, Y Guo, H Zhou IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2562 …, 2017 | 26 | 2017 |
| Robust visual tracking via scale-and-state-awareness Y Qi, L Qin, S Zhang, Q Huang, H Yao Neurocomputing 329, 75-85, 2019 | 25 | 2019 |
| Siamese local and global networks for robust face tracking Y Qi, S Zhang, F Jiang, H Zhou, D Tao, X Li IEEE Transactions on Image Processing 29, 9152-9164, 2020 | 23 | 2020 |
| Neighbor-view enhanced model for vision and language navigation D An, Y Qi, Y Huang, Q Wu, L Wang, T Tan Proceedings of the 29th ACM International Conference on Multimedia, 5101-5109, 2021 | 18 | 2021 |
Qingming HuangUniversity of the Chinese Academy of SciencesПотвърден имейл адрес: ucas.ac.cn
