| Joint face detection and alignment using multitask cascaded convolutional networks K Zhang, Z Zhang, Z Li, Y Qiao IEEE signal processing letters 23 (10), 1499-1503, 2016 | 3897 | 2016 |
| Action recognition with trajectory-pooled deep-convolutional descriptors L Wang, Y Qiao, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 3574 | 2015 |
| A discriminative feature learning approach for deep face recognition Y Wen, K Zhang, Z Li, Y Qiao European conference on computer vision, 499-515, 2016 | 3069 | 2016 |
| Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, LV Gool European conference on computer vision, 20-36, 2016 | 2931 | 2016 |
| Esrgan: Enhanced super-resolution generative adversarial networks X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 1915 | 2018 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1004 | 2017 |
| Detecting text in natural image with connectionist text proposal network Z Tian, W Huang, T He, P He, Y Qiao European conference on computer vision, 56-72, 2016 | 845 | 2016 |
| Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice X Peng, L Wang, X Wang, Y Qiao Computer Vision and Image Understanding 150, 109-125, 2016 | 743 | 2016 |
| Spidercnn: Deep learning on point sets with parameterized convolutional filters Y Xu, T Fan, M Xu, L Zeng, Y Qiao Proceedings of the European Conference on Computer Vision (ECCV), 87-102, 2018 | 496 | 2018 |
| Towards good practices for very deep two-stream convnets L Wang, Y Xiong, Z Wang, Y Qiao arXiv preprint arXiv:1507.02159, 2015 | 474 | 2015 |
| Robust scene text detection with convolution neural network induced mser trees W Huang, Y Qiao, X Tang European conference on computer vision, 497-511, 2014 | 429 | 2014 |
| Action recognition with stacked fisher vectors X Peng, C Zou, Y Qiao, Q Peng European conference on computer vision, 581-595, 2014 | 417 | 2014 |
| Temporal segment networks for action recognition in videos L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool IEEE transactions on pattern analysis and machine intelligence 41 (11), 2740 …, 2018 | 412 | 2018 |
| Real-time action recognition with enhanced motion vector CNNs B Zhang, L Wang, Z Wang, Y Qiao, H Wang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 405 | 2016 |
| Fots: Fast oriented text spotting with a unified network X Liu, D Liang, S Yan, D Chen, Y Qiao, J Yan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 404 | 2018 |
| Pairwise rotation invariant co-occurrence local binary pattern X Qi, R Xiao, CG Li, Y Qiao, J Guo, X Tang IEEE transactions on pattern analysis and machine intelligence 36 (11), 2199 …, 2014 | 344 | 2014 |
| Range loss for deep face recognition with long-tailed training data X Zhang, Z Fang, Y Wen, Z Li, Y Qiao Proceedings of the IEEE International Conference on Computer Vision, 5409-5418, 2017 | 338 | 2017 |
| Text-attentional convolutional neural network for scene text detection T He, W Huang, Y Qiao, J Yao IEEE transactions on image processing 25 (6), 2529-2541, 2016 | 311 | 2016 |
| Single shot text detector with regional attention P He, W Huang, T He, Q Zhu, Y Qiao, X Li Proceedings of the IEEE international conference on computer vision, 3047-3055, 2017 | 287 | 2017 |
| A key volume mining deep framework for action recognition W Zhu, J Hu, G Sun, X Cao, Y Qiao Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 269 | 2016 |
Limin WangNanjing University在 nju.edu.cn 的电子邮件经过验证
