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Transformer-based stroke relation encoding for online handwriting and sketches 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 13
作者:  Liu, Jing-Yu;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(1999Kb)  |  收藏  |  浏览/下载：100/6  |  提交时间：2024/02/22
Online stroke classification  Handwritten document analysis  Diagram recognition  Sketch semantic segmentation  Position encoding in transformer  
DyGAT: Dynamic stroke classification of online handwritten documents and sketches 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 141, 页码: 12
作者:  Yang, Yu-Ting;  Zhang, Yan-Ming;  Yun, Xiao-Long;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(3180Kb)  |  收藏  |  浏览/下载：161/3  |  提交时间：2023/11/17
Stroke classification  Sketch semantic segmentation  Document layout analysis  Diagram recognition  Streaming recognition  
Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 132, 页码: 14
作者:  Li, Xiao-Hui;  Yin, Fei;  Dai, He-Sen;  Liu, Cheng-Lin
Adobe PDF(4030Kb)  |  收藏  |  浏览/下载：293/9  |  提交时间：2022/11/14
Table detection  Table structure recognition  Template -free form parsing  Graph neural network  End -to -end training  
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：557/240  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：494/115  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Document image binarization with cascaded generators of conditional generative adversarial networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 1, 页码: 12
作者:  Zhao, Jinyuan;  Shi, Cunzhao;  Jia, Fuxi;  Wang, Yanna;  Xiao, Baihua
Adobe PDF(3892Kb)  |  收藏  |  浏览/下载：507/89  |  提交时间：2019/12/16
Cascaded generator  Conditional generative adversarial networks  Document image binarization  Image generation  Historical document analysis  
Degraded document image binarization using structural symmetry of strokes 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 74, 期号: 2018, 页码: 225-240
作者:  Jia, Fuxi;  Shi, Cunzhao;  He, Kun;  Wang, Chunheng;  Xiao, Baihua
浏览  |  Adobe PDF(4351Kb)  |  收藏  |  浏览/下载：730/265  |  提交时间：2018/01/03
Document Image Binarization  Structural Symmetry Of Strokes  Local Threshold  Stroke Width Estimation  
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 2017, 期号: 65, 页码: 251-264
作者:  Wu, Yi-Chao;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(1290Kb)  |  收藏  |  浏览/下载：1205/519  |  提交时间：2017/02/18
Handwritten Chinese Text Recognition  Feedforward Neural Network Language Model  Recurrent Neural Network Language Model  Hybrid Language Model  Convolutional Neural Network Shape Models  
End-to-end scene text recognition using tree-structured models 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 9, 页码: 2853-2866
作者:  Shi, Cunzhao;  Wang, Chunheng;  Xiao, Baihua;  Gao, Song;  Hu, Jinlong;  Wang Chunheng
Adobe PDF(14024Kb)  |  收藏  |  浏览/下载：364/75  |  提交时间：2015/08/12
End-to-end  Scene Text Recognition  Part-based Tree-structured Models (Tsms)  Normalized Pictorial Structure  
Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context 期刊论文
PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 10, 页码: 2807-2818
作者:  Yin, Fei;  Wang, Qiu-Feng;  Liu, Cheng-Lin
Adobe PDF(1946Kb)  |  收藏  |  浏览/下载：358/70  |  提交时间：2015/08/12
Transcript Mapping  Minimum Classification Error (Mce)  Dynamic Time Warping (Dtw)  Confidence Transformation (Ct)  Geometric Context