| Siamese box adaptive network for visual tracking Z Chen, B Zhong, G Li, S Zhang, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 827 | 2020 |
| 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 | 709 | 2018 |
| Learning label-specific features and class-dependent labels for multi-label classification J Huang, G Li, Q Huang, X Wu IEEE transactions on knowledge and data engineering 28 (12), 3309-3323, 2016 | 219 | 2016 |
| Learning label specific features for multi-label classification J Huang, G Li, Q Huang, X Wu 2015 IEEE International Conference on Data Mining, 181-190, 2015 | 185 | 2015 |
| Joint feature selection and classification for multilabel learning J Huang, G Li, Q Huang, X Wu IEEE transactions on cybernetics 48 (3), 876-889, 2017 | 172 | 2017 |
| Regulation of energy density and efficiency in transparent ceramics by grain refinement X Ren, L Jin, Z Peng, B Chen, X Qiao, D Wu, G Li, H Du, Z Yang, X Chao Chemical Engineering Journal 390, 124566, 2020 | 164 | 2020 |
| The unmanned aerial vehicle benchmark: Object detection, tracking and baseline H Yu, G Li, W Zhang, Q Huang, D Du, Q Tian, N Sebe International Journal of Computer Vision 128, 1141-1159, 2020 | 143 | 2020 |
| Reverse perspective network for perspective-aware object counting Y Yang, G Li, Z Wu, L Su, Q Huang, N Sebe Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 135 | 2020 |
| Generalized semi-supervised and structured subspace learning for cross-modal retrieval L Zhang, B Ma, G Li, Q Huang, Q Tian IEEE Transactions on Multimedia 20 (1), 128-141, 2017 | 134 | 2017 |
| Learning to filter: Siamese relation network for robust tracking S Cheng, B Zhong, G Li, X Liu, Z Tang, X Li, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 121 | 2021 |
| Spatiotemporal cnn for video object segmentation K Xu, L Wen, G Li, L Bo, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 103 | 2019 |
| Multi-label classification by exploiting local positive and negative pairwise label correlation J Huang, G Li, S Wang, Z Xue, Q Huang Neurocomputing 257, 164-174, 2017 | 94 | 2017 |
| Anti-UAV: A large multi-modal benchmark for UAV tracking N Jiang, K Wang, X Peng, X Yu, Q Wang, J Xing, G Li, J Zhao, G Guo, ... arXiv preprint arXiv:2101.08466, 2021 | 85 | 2021 |
| Weakly-supervised crowd counting learns from sorting rather than locations Y Yang, G Li, Z Wu, L Su, Q Huang, N Sebe Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 85 | 2020 |
| VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, H Wu, Q Nie, H Cheng, C Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 76 | 2018 |
| Cross-modal retrieval using multiordered discriminative structured subspace learning L Zhang, B Ma, G Li, Q Huang, Q Tian IEEE Transactions on Multimedia 19 (6), 1220-1233, 2016 | 72 | 2016 |
| Hierarchical modular network for video captioning H Ye, G Li, Y Qi, S Wang, Q Huang, MH Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 66 | 2022 |
| SiamBAN: Target-aware tracking with Siamese box adaptive network Z Chen, B Zhong, G Li, S Zhang, R Ji, Z Tang, X Li IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5158-5173, 2022 | 57 | 2022 |
| Embedding perspective analysis into multi-column convolutional neural network for crowd counting Y Yang, G Li, D Du, Q Huang, N Sebe IEEE Transactions on Image Processing 30, 1395-1407, 2020 | 53 | 2020 |
| Effective multimodality fusion framework for cross-media topic detection L Chu, Y Zhang, G Li, S Wang, W Zhang, Q Huang IEEE Transactions on Circuits and Systems for Video Technology 26 (3), 556-569, 2014 | 46 | 2014 |
Qingming HuangUniversity of the Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
