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Zhuoyao Zhong
Zhuoyao Zhong
Microsoft Research Asia
Подтвержден адрес электронной почты в домене microsoft.com - Главная страница
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Процитировано
Процитировано
Год
High performance offline handwritten chinese character recognition using googlenet and directional feature maps
Z Zhong, L Jin, Z Xie
2015 13th international conference on document analysis and recognition …, 2015
3822015
Deeptext: A new approach for text proposal generation and text detection in natural images
Z Zhong, L Jin, S Huang
2017 IEEE international conference on acoustics, speech and signal …, 2017
1972017
An anchor-free region proposal network for Faster R-CNN-based text detection approaches
Z Zhong, L Sun, Q Huo
International Journal on Document Analysis and Recognition (IJDAR) 22, 315-327, 2019
1402019
Mask R-CNN with pyramid attention network for scene text detection
Z Huang, Z Zhong, L Sun, Q Huo
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 764-772, 2019
1142019
Multi-font printed Chinese character recognition using multi-pooling convolutional neural network
Z Zhong, L Jin, Z Feng
2015 13th International Conference on Document Analysis and Recognition …, 2015
732015
Applications of deep learning for handwritten Chinese character recognition: a review
LW Jin, ZY Zhong, Z Yang, WX Yang, ZC Xie, J Sun
Acta Automatica Sinica 42 (8), 1125-1141, 2016
632016
ReLaText: Exploiting visual relationships for arbitrary-shaped scene text detection with graph convolutional networks
C Ma, L Sun, Z Zhong, Q Huo
Pattern Recognition 111, 107684, 2021
542021
ViBERTgrid: a jointly trained multi-modal 2D document representation for key information extraction from documents
W Lin, Q Gao, L Sun, Z Zhong, K Hu, Q Ren, Q Huo
Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021
462021
Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images
Z Zhong, L Sun, Q Huo
Pattern recognition 96, 106986, 2019
442019
DropRegion training of inception font network for high-performance Chinese font recognition
S Huang, Z Zhong, L Jin, S Zhang, H Wang
Pattern Recognition 77, 395-411, 2018
232018
Spottingnet: Learning the similarity of word images with convolutional neural network for word spotting in handwritten historical documents
Z Zhong, W Pan, L Jin, H Mouchère, C Viard-Gaudin
2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016
232016
A CNN-based approach to detecting text from images of whiteboards and handwritten notes
W Jia, Z Zhong, L Sun, Q Huo
2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018
172018
Improved localization accuracy by locnet for faster r-cnn based text detection
Z Zhong, L Sun, Q Huo
2017 14th IAPR international conference on document analysis and recognition …, 2017
172017
A relation network based approach to curved text detection
C Ma, Z Zhong, L Sun, Q Huo
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
102019
Hyperparameter search for deep convolutional neural network using effect factors
Z Li, L Jin, C Yang, Z Zhong
2015 IEEE China Summit and International Conference on Signal and …, 2015
102015
A robust approach to detecting text from images of whiteboards and handwritten notes
W Jia, L Sun, Z Zhong, X Mo, G Ma, Q Huo
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
52017
A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Images
K Hu, Z Wu, Z Zhong, W Lin, L Sun, Q Huo
arXiv preprint arXiv:2304.07957, 2023
42023
A hybrid approach to document layout analysis for heterogeneous document images
Z Zhong, J Wang, H Sun, K Hu, E Zhang, L Sun, Q Huo
International Conference on Document Analysis and Recognition, 189-206, 2023
32023
A teacher-student learning based born-again training approach to improving scene text detection accuracy
Z Zhong, L Sun, Q Huo
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
32019
Identifying best hyperparameters for deep architectures using random forests
ZZ Li, ZY Zhong, LW Jin
International Conference on Learning and Intelligent Optimization, 29-42, 2015
32015
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