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Weihong Ma
Weihong Ma
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Year
Look closer to supervise better: One-shot font generation via component-based discriminator
Y Kong, C Luo, W Ma, Q Zhu, S Zhu, N Yuan, L Jin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
612022
Joint layout analysis, character detection and recognition for historical document digitization
W Ma, H Zhang, L Jin, S Wu, J Wang, Y Wang
2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020
562020
Recognition of handwritten Chinese text by segmentation: a segment-annotation-free approach
D Peng, L Jin, W Ma, C Xie, H Zhang, S Zhu, J Li
IEEE Transactions on Multimedia 25, 2368-2381, 2022
512022
Precise detection of Chinese characters in historical documents with deep reinforcement learning
W Sihang, W Jiapeng, M Weihong, J Lianwen
Pattern Recognition 107, 107503, 2020
242020
Towards an efficient framework for data extraction from chart images
W Ma, H Zhang, S Yan, G Yao, Y Huang, H Li, Y Wu, L Jin
International Conference on Document Analysis and Recognition, 583-597, 2021
202021
Tag, copy or predict: A unified weakly-supervised learning framework for visual information extraction using sequences
J Wang, T Wang, G Tang, L Jin, W Ma, K Ding, Y Huang
arXiv preprint arXiv:2106.10681, 2021
162021
Gridformer: Towards accurate table structure recognition via grid prediction
P Lyu, W Ma, H Wang, Y Yu, C Zhang, K Yao, Y Xue, J Wang
Proceedings of the 31st ACM International Conference on Multimedia, 7747-7757, 2023
92023
DeMatch: towards understanding the panel of chart documents
H Zhang, W Ma, L Jin, Y Huang, K Ding, Y Wu
International Conference on Document Analysis and Recognition, 692-707, 2021
32021
StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and Beyond
P Lyu, Y Li, H Zhou, W Ma, X Wan, Q Xie, L Wu, C Zhang, K Yao, E Ding, ...
arXiv preprint arXiv:2405.21013, 2024
12024
GARDEN: Generative Prior Guided Network for Scene Text Image Super-Resolution
Y Kong, W Ma, L Jin, Y Xue
International Conference on Document Analysis and Recognition, 196-214, 2024
2024
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