CASIA OpenIR

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Handwriting Trajectory Recovery from Off-Line Multi-Stroke Characters by Deep Ordering Prediction and Heuristic Search 会议论文
, 线上, 2021-7
Authors:  Wang TQ(王铁强);  Liu CL(刘成林)
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中文手写字符图像的笔划分析方法研究 学位论文
工学博士, 中国科学院自动化研究所智能化大厦三楼第五会议室: 中国科学院自动化研究所, 2021
Authors:  王铁强
Adobe PDF(6299Kb)  |  Favorite  |  View/Download:26/2  |  Submit date:2021/07/01
中文手写字符图像骨架化  笔划交叠区域检测  笔划提取  笔划匹配  书写轨迹恢复  
Proxy Graph Matching with Proximal Matching Networks 会议论文
, 线上远程会议, 2021-2-7
Authors:  Tan HR(檀昊儒);  Wang C(王闯);  Wu ST(吴思彤);  Wang TQ(王铁强);  Zhang XY(张煦尧);  Liu CL(刘成林)
Adobe PDF(423Kb)  |  Favorite  |  View/Download:13/2  |  Submit date:2021/07/01
Graph Matching  Combinatorial Optimization  Deep Learning  
DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in \\Handwritten Chinese Character Recognition 会议论文
, 新加坡, 2018-11
Authors:  Wang TQ(王铁强);  Liu CL(刘成林)
Adobe PDF(878Kb)  |  Favorite  |  View/Download:13/1  |  Submit date:2021/06/02
Single-channel Speech Dereverberation via Generative Adversarial Training 会议论文
, Hyderabad, 2018-9
Authors:  Li, Chenxing;  Wang, Tieqiang;  Xu, Shuang;  Xu, Bo
View  |  Adobe PDF(1735Kb)  |  Favorite  |  View/Download:50/9  |  Submit date:2020/07/21
The ZTSpeech System for CHiME-5 Challenge: A Far-field Speech Recognition System with Front-end and Robust Back-end 会议论文
, Hyderabad, India, 2018-9
Authors:  Li, Chenxing;  Wang Tieqiang
View  |  Adobe PDF(245Kb)  |  Favorite  |  View/Download:38/3  |  Submit date:2020/07/21
Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters 会议论文
, 美国,新奥尔良, 2018-2
Authors:  Wang TQ(王铁强);  Liu CL(刘成林)
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Radical-Based Chinese Character Recognition via Multi-Labeled Learning of Deep Residual Networks 会议论文
Proc. 14th Int. Conf. Document Analysis and Recognition, Kyoto, Japan, November 13-15, 2017
Authors:  Wang TQ(王铁强);  Yin F(殷飞);  Liu CL(刘成林);  Cheng-Lin Liu
View  |  Adobe PDF(498Kb)  |  Favorite  |  View/Download:323/150  |  Submit date:2018/01/05
Chinese Character Recognition  Radical Detection  Deep Residual Network  Multi-labeled Learning