zecheng xie - Citegraph

Author Info

Name	Affiliation	Papers
ZECHENG XIE	College of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China	17
Collaborators	Citations	PageRank
38	96	7.55
Referers	Referees	References
285	337	193

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100337

Publications (17 rows)

Collaborators (38 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition	0	0.34	2021
Tightness-Aware Evaluation Protocol For Scene Text Detection	2	0.36	2019
Aggregation Cross-Entropy For Sequence Recognition	7	0.42	2019
SCUT-EPT: New Dataset and Benchmark for Offline Chinese Text Recognition in Examination Paper.	0	0.34	2019
Adversarial Feature Enhancing Network for End-to-End Handwritten Paragraph Recognition	0	0.34	2019
Radical Aggregation Network for Few-Shot Offline Handwritten Chinese Character Recognition	3	0.39	2019
Weakly supervised precise segmentation for historical document images	2	0.38	2019
Distilling GRU with Data Augmentation for Unconstrained Handwritten Text Recognition	1	0.36	2018
Deep Word Association: A Flexible Chinese Word Association Method with Iterative Attention Mechanism.	0	0.34	2018
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition.	12	0.68	2018
DeRPN: Taking a Further Step toward More General Object Detection	2	0.35	2018
Accelerating and Compressing LSTM Based Model for Online Handwritten Chinese Character Recognition	1	0.35	2018
A Comprehensive Analysis of Misclassified Handwritten Chinese Character Samples by Incorporating Human Recognition	0	0.34	2017
Convolutional Multi-directional Recurrent Network for Offline Handwritten Text Recognition	2	0.37	2016
High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps	18	0.71	2015
Improved deep convolutional neural network for online handwritten Chinese character recognition using domain-specific knowledge	18	0.61	2015
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition	28	0.89	2015

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