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| A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram 会议论文 , 中国 澳门, 2023-7-19 作者: Zhang Ming-Liang; Yin Fei; Liu Cheng-Lin Adobe PDF(1110Kb)  |  收藏  |  浏览/下载:101/31  |  提交时间:2024/04/03 |
| CASIA-AHCDB: A Large-scale Chinese Ancient Handwritten Characters Database 会议论文 , Sydney, Australia, 2019.09.20-2019.09.25 作者: Yue Xu; Fei Yin; Da-Han Wang; Xu-Yao Zhang; Zhaoxiang Zhang; Cheng-Lin Liu Adobe PDF(493Kb)  |  收藏  |  浏览/下载:364/86  |  提交时间:2022/09/21 Ancient Documents Handwritten Chinese Characters Character Recognition Transfer Learning |
| Deep Transfer Mapping for Unsupervised Writer Adaptation 会议论文 , Niagara Falls, USA, 2018-08-05 作者: Hong-Ming Yang; Xu-Yao Zhang; Fei Yin; Jun Sun; Cheng-Lin Liu Adobe PDF(164Kb)  |  收藏  |  浏览/下载:166/67  |  提交时间:2021/06/02 |
| Memory-Augmented Attention Model for Scene Text Recognition 会议论文 , Niagara Falls, USA, August 5-8, 2018 作者: Wang, Cong; Yin, Fei; Liu, Cheng-Lin 浏览  |  Adobe PDF(1436Kb)  |  收藏  |  浏览/下载:222/80  |  提交时间:2020/05/09 Scene Text Recognition Attention Network Memory Augmentation |
| Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks 会议论文 , Stockholm, Sweden, 2018.07.13-2018.07.19 作者: Yue Xu; Fei Yin; Zhaoxiang Zhang; Cheng-Lin Liu 浏览  |  Adobe PDF(2345Kb)  |  收藏  |  浏览/下载:570/167  |  提交时间:2018/10/12 Page Segmentation |
| Page Segmentation for Historical Handwritten Documents Using Fully Convolutional Networks 会议论文 , Kyoto, Japan, 2017.11.9-2017.11.15 作者: Yue Xu; Wenhao He; Fei Yin; Cheng-Lin Liu 浏览  |  Adobe PDF(1424Kb)  |  收藏  |  浏览/下载:631/268  |  提交时间:2018/01/05 Page Segmentation Layout Analysis Fully Convolutional Network |
| 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 作者: Wang TQ(王铁强); Yin F(殷飞); Liu CL(刘成林); Cheng-Lin Liu 浏览  |  Adobe PDF(498Kb)  |  收藏  |  浏览/下载:607/224  |  提交时间:2018/01/05 Chinese Character Recognition Radical Detection Deep Residual Network Multi-labeled Learning |