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Zhanglin Peng
Zhanglin Peng
SenseTime Group Limited
在 sensetime.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Towards understanding regularization in batch normalization
P Luo, X Wang, W Shao, Z Peng
arXiv preprint arXiv:1809.00846, 2018
1622018
Differentiable learning-to-normalize via switchable normalization
P Luo, J Ren, Z Peng, R Zhang, J Li
arXiv preprint arXiv:1806.10779, 2018
1602018
Switchable normalization for learning-to-normalize deep representation
P Luo, R Zhang, J Ren, Z Peng, J Li
IEEE transactions on pattern analysis and machine intelligence 43 (2), 712-728, 2019
412019
AIM 2020 challenge on learned image signal processing pipeline
A Ignatov, R Timofte, Z Zhang, M Liu, H Wang, W Zuo, J Zhang, R Zhang, ...
European Conference on Computer Vision, 152-170, 2020
272020
Facial age estimation by using stacked feature composition and selection
Y Li, Z Peng, D Liang, H Chang, Z Cai
The Visual Computer 32 (12), 1525-1536, 2016
242016
Differentiable learning-to-group channels via groupable convolutional neural networks
Z Zhang, J Li, W Shao, Z Peng, R Zhang, X Wang, P Luo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
222019
Differentiable dynamic normalization for learning deep representation
P Luo, P Zhanglin, S Wenqi, Z Ruimao, R Jiamin, W Lingyun
International Conference on Machine Learning, 4203-4211, 2019
202019
Deep boosting: joint feature selection and analysis dictionary learning in hierarchy
Z Peng, Y Li, Z Cai, L Lin
Neurocomputing 178, 36-45, 2016
192016
Progressively diffused networks for semantic visual parsing
R Zhang, W Yang, Z Peng, P Wei, X Wang, L Lin
Pattern Recognition 90, 78-86, 2019
15*2019
Geometric scene parsing with hierarchical lstm
Z Peng, R Zhang, X Liang, X Liu, L Lin
arXiv preprint arXiv:1604.01931, 2016
152016
Exemplar normalization for learning deep representation
R Zhang, Z Peng, L Wu, Z Li, P Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
122020
Deep boosting: Layered feature mining for general image classification
Z Peng, L Lin, R Zhang, J Xu
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
122014
Do normalization layers in a deep ConvNet really need to be distinct?
P Luo, Z Peng, J Ren, R Zhang
arXiv preprint arXiv:1811.07727, 2018
102018
Cuimage: A neverending learning platform on a convolutional knowledge graph of billion web images
Z Peng, L Wu, J Ren, R Zhang, P Luo
2018 IEEE International Conference on Big Data (Big Data), 1787-1796, 2018
52018
Normalization method and apparatus for deep neural network, and storage media
P Luo, L Wu, J Ren, P Zhanglin, R Zhang, W Xinjiang
US Patent App. 16/862,304, 2020
12020
Data processing method and apparatus, and storage medium
P Luo, L Wu, P Zhanglin, R Zhang, J Ren, W Shao
US Patent App. 17/352,219, 2021
2021
Scheduling Large-scale Distributed Training via Reinforcement Learning
Z Peng, J Ren, R Zhang, L Wu, X Wang, P Luo
2018 IEEE International Conference on Big Data (Big Data), 1797-1806, 2018
2018
Exemplar Normalization for Learning Deep Representation Supplemental Material
R Zhang, Z Peng, L Wu, Z Li, P Luo
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