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 | 388 | 2015 |
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 | 195 | 2017 |
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 | 141 | 2019 |
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 | 117 | 2019 |
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 | 72 | 2015 |
Applications of deep learning for handwritten Chinese character recognition: a review J Lian-Wen, Z Zhuo-Yao, Y Zhao, Y Wei-Xin, X Ze-Cheng, S Jun Acta Automatica Sinica 42 (8), 1125-1141, 2016 | 64 | 2016 |
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 | 58 | 2021 |
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 | 52 | 2021 |
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 | 46 | 2019 |
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 | 23 | 2018 |
Spottingnet: Learning the similarity of word images with convolutional neural network for word spotting in handwritten historical documents Z Zhong, W Pan, L Jin, H Mouchère, C Viard-Gaudin 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 23 | 2016 |
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 | 18 | 2018 |
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 | 18 | 2017 |
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 | 10 | 2019 |
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 | 10 | 2015 |
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 | 5 | 2023 |
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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12899 …, 2023 | 5 | 2023 |
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 | 5 | 2017 |
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 | 3 | 2019 |
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 | 3 | 2015 |