| 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 | 1127 | 2016 |
| 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 | 1099 | 2016 |
| Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool European conference on computer vision, 20-36, 2016 | 1067 | 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 | 800 | 2015 |
| 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 | 506 | 2016 |
| Action recognition with stacked fisher vectors X Peng, C Zou, Y Qiao, Q Peng European Conference on Computer Vision, 581-595, 2014 | 302 | 2014 |
| 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 | 293 | 2016 |
| 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 | 280 | 2014 |
| 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 | 276 | 2017 |
| 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 | 257 | 2014 |
| Towards good practices for very deep two-stream convnets L Wang, Y Xiong, Z Wang, Y Qiao arXiv preprint arXiv:1507.02159, 2015 | 252 | 2015 |
| 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 | 204 | 2016 |
| Motionlets: Mid-level 3d parts for human motion recognition LM Wang, Y Qiao, X Tang Proceedings of the ieee conference on computer vision and pattern …, 2013 | 184 | 2013 |
| 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 | 165 | 2016 |
| 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 | 159 | 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), 0-0, 2018 | 148 | 2018 |
| Multi-view super vector for action recognition Z Cai, L Wang, X Peng, Y Qiao Proceedings of the IEEE conference on Computer Vision and Pattern …, 2014 | 148 | 2014 |
| A comparative study of encoding, pooling and normalization methods for action recognition X Wang, LM Wang, Y Qiao Asian Conference on Computer Vision, 572-585, 2012 | 130 | 2012 |
| Reading scene text in deep convolutional sequences P He, W Huang, Y Qiao, CC Loy, X Tang Thirtieth AAAI conference on artificial intelligence, 2016 | 121 | 2016 |
| Action recognition and detection by combining motion and appearance features L Wang, Y Qiao, X Tang THUMOS14 Action Recognition Challenge 1 (2), 2, 2014 | 108 | 2014 |
Limin WangNanjing University在 nju.edu.cn 的电子邮件经过验证
