Yu Qiao
Yu Qiao
Professor of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
在 siat.ac.cn 的电子邮件经过验证 - 首页
标题引用次数年份
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
11272016
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
10992016
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
10672016
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
8002015
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
5062016
Action recognition with stacked fisher vectors
X Peng, C Zou, Y Qiao, Q Peng
European Conference on Computer Vision, 581-595, 2014
3022014
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
2932016
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
2802014
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
2762017
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
2572014
Towards good practices for very deep two-stream convnets
L Wang, Y Xiong, Z Wang, Y Qiao
arXiv preprint arXiv:1507.02159, 2015
2522015
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
2042016
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
1842013
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
1652016
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
1592016
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
1482018
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
1482014
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
1302012
Reading scene text in deep convolutional sequences
P He, W Huang, Y Qiao, CC Loy, X Tang
Thirtieth AAAI conference on artificial intelligence, 2016
1212016
Action recognition and detection by combining motion and appearance features
L Wang, Y Qiao, X Tang
THUMOS14 Action Recognition Challenge 1 (2), 2, 2014
1082014
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