Follow
Xinyu Zhou
Xinyu Zhou
Unknown affiliation
No verified email
Title
Cited by
Cited by
Year
Shufflenet: An extremely efficient convolutional neural network for mobile devices
X Zhang, X Zhou, M Lin, J Sun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
60202018
Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients
S Zhou, Y Wu, Z Ni, X Zhou, H Wen, Y Zou
arXiv preprint arXiv:1606.06160, 2016
19702016
East: an efficient and accurate scene text detector
X Zhou, C Yao, H Wen, Y Wang, S Zhou, W He, J Liang
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017
15822017
Scene text detection via holistic, multi-channel prediction
C Yao, X Bai, N Sang, X Zhou, S Zhou, Z Cao
arXiv preprint arXiv:1606.09002, 2016
2592016
Dpgn: Distribution propagation graph network for few-shot learning
L Yang, L Li, Z Zhang, X Zhou, E Zhou, Y Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1872020
Learning delicate local representations for multi-person pose estimation
Y Cai, Z Wang, Z Luo, B Yin, A Du, H Wang, X Zhang, X Zhou, E Zhou, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1142020
Effective quantization methods for recurrent neural networks
Q He, H Wen, S Zhou, Y Wu, C Yao, X Zhou, Y Zou
arXiv preprint arXiv:1611.10176, 2016
772016
Exploiting local structures with the kronecker layer in convolutional networks
S Zhou, JN Wu, Y Wu, X Zhou
arXiv preprint arXiv:1512.09194, 2015
422015
Feature space singularity for out-of-distribution detection
H Huang, Z Li, L Wang, S Chen, B Dong, X Zhou
arXiv preprint arXiv:2011.14654, 2020
342020
Modeling paying behavior in game social networks
Z Fang, X Zhou, J Tang, W Shao, ACM Fong, L Sun, Y Ding, L Zhou, J Luo
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
302014
Learning to run with actor-critic ensemble
Z Huang, S Zhou, BE Zhuang, X Zhou
arXiv preprint arXiv:1712.08987, 2017
252017
Icdar 2015 text reading in the wild competition
X Zhou, S Zhou, C Yao, Z Cao, Q Yin
arXiv preprint arXiv:1506.03184, 2015
222015
Incidental scene text understanding: Recent progresses on icdar 2015 robust reading competition challenge 4
C Yao, J Wu, X Zhou, C Zhang, S Zhou, Z Cao, Q Yin
arXiv preprint arXiv:1511.09207, 2015
122015
Training bit fully convolutional network for fast semantic segmentation
H Wen, S Zhou, Z Liang, Y Zhang, D Feng, X Zhou, C Yao
arXiv preprint arXiv:1612.00212, 2016
102016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. arXiv e-prints, page
S Zhou, Y Wu, Z Ni, X Zhou, H Wen, Y Zou
arXiv preprint arXiv:1606.06160, 2016
62016
Determination of a geographical location of a user
S Zhou, X Zhou, WU Yuxin, WU Jianan
US Patent 10,657,669, 2020
52020
Joint COCO and Mapillary Workshop at ICCV 2019: Panoptic Segmentation Challenge Track Technical Report: Explore Context Relation for Panoptic Segmentation
S Wang, T Liu, H Liu, Y Ma, Z Li, Z Wang, X Zhou, G Yu, E Zhou, X Zhang, ...
ICCV workshop, 2019
4*2019
Liveness authentication method and apparatus
S Zhou, X Zhou, WU Yuxin
US Patent 10,043,086, 2018
42018
DoReFa-Net: Training low bitwidth con-volutional neural networks with low bitwidth gradients
S Zhou, Y Wu, Z Ni, X Zhou, H Wen
arXiv preprint, 2016
22016
Iqnn: Training quantized neural networks with iterative optimizations
S Zhou, H Wen, T Xiao, X Zhou
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20