| 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 | 788 | 2018 |
| Less is more: Picking informative frames for video captioning Y Chen, S Wang, W Zhang, Q Huang Proceedings of the European conference on computer vision (ECCV), 358-373, 2018 | 258 | 2018 |
| Improving multi-label classification with missing labels by learning label-specific features J Huang, F Qin, X Zheng, Z Cheng, Z Yuan, W Zhang, Q Huang Information Sciences 492, 124-146, 2019 | 163 | 2019 |
| 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 | 160 | 2020 |
| Deep unsupervised convolutional domain adaptation J Zhuo, S Wang, W Zhang, Q Huang Proceedings of the 25th ACM international conference on Multimedia, 261-269, 2017 | 126 | 2017 |
| Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition. X Zhu, L Li, W Zhang, T Rao, M Xu, Q Huang, D Xu IJCAI, 3595-3601, 2017 | 116 | 2017 |
| Split multiplicative multi-view subspace clustering Z Yang, Q Xu, W Zhang, X Cao, Q Huang IEEE Transactions on Image Processing 28 (10), 5147-5160, 2019 | 96 | 2019 |
| 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 | 52 | 2019 |
| Skeletonnet: A hybrid network with a skeleton-embedding process for multi-view image representation learning S Yang, L Li, S Wang, W Zhang, Q Huang, Q Tian IEEE Transactions on Multimedia 21 (11), 2916-2929, 2019 | 48 | 2019 |
| 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 |
| Video shot detection using hidden markov models with complementary features W Zhang, J Lin, X Chen, Q Huang, Y Liu First International Conference on Innovative Computing, Information and …, 2006 | 41 | 2006 |
| A graph regularized deep neural network for unsupervised image representation learning S Yang, L Li, S Wang, W Zhang, Q Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 38 | 2017 |
| Group sensitive classifier chains for multi-label classification J Huang, G Li, S Wang, W Zhang, Q Huang 2015 IEEE international conference on multimedia and expo (ICME), 1-6, 2015 | 37 | 2015 |
| Cross-media topic detection: A multi-modality fusion framework Y Zhang, G Li, L Chu, S Wang, W Zhang, Q Huang 2013 IEEE International conference on multimedia and expo (ICME), 1-6, 2013 | 37 | 2013 |
| Exploiting sample correlation for crowd counting with multi-expert network X Liu, G Li, Z Han, W Zhang, Y Yang, Q Huang, N Sebe Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 34 | 2021 |
| Unsupervised Web Topic Detection Using A Ranked Clustering-like Pattern Across Similarity Cascades J Pang, F Jia, C Zhang, W Zhang, Q Huang, B Yin IEEE Transactions on Multimedia 17 (6), 843-853, 2015 | 31 | 2015 |
| Web video thumbnail recommendation with content-aware analysis and query-sensitive matching W Zhang, C Liu, Z Wang, G Li, Q Huang, W Gao Multimedia tools and applications 73, 547-571, 2014 | 30 | 2014 |
| Robust sea-sky-line detection for complex sea background D Liang, W Zhang, Q Huang, F Yang 2015 IEEE International Conference on Progress in Informatics and Computing …, 2015 | 29 | 2015 |
| Multi-label image classification with attention mechanism and graph convolutional networks Q Meng, W Zhang Proceedings of the 1st ACM International Conference on Multimedia in Asia, 1-6, 2019 | 28 | 2019 |
| JDL at TRECVID 2006 Shot Boundary Detection. C Liu, H Liu, S Jiang, Q Huang, Y Zheng, W Zhang TRECVID, 2006 | 28 | 2006 |
Qingming HuangUniversity of the Chinese Academy of SciencesVerified email at ucas.ac.cn
