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ORCID19th ICDAR 2025: Wuhan, China - Part II
- Xu-Cheng Yin
, Dimosthenis Karatzas, Daniel Lopresti:
Document Analysis and Recognition - ICDAR 2025 - 19th International Conference, Wuhan, China, September 16-21, 2025, Proceedings, Part II. Lecture Notes in Computer Science 16024, Springer 2026, ISBN 978-3-032-04616-1
Historical Document Analysis
- Marta López-Rauhut, Hongyu Zhou, Mathieu Aubry, Loïc Landrieu:
Segmenting France Across Four Centuries. 3-22 - Fabian Wolf, Oliver Tüselmann, Arthur Matei, Lukas Hennies, Christoph Rass, Gernot A. Fink:
CM1 - A Dataset for Evaluating Few-Shot Information Extraction with Large Vision Language Models. 23-39 - Weiwei Duan, Yao-Yi Chiang, Craig A. Knoblock:
LDTR: Linear Object Detection Transformer for Accurate Graph Generation by Learning the N-Hop Connectivity Information. 40-59 - Yijun Lin, Rhett M. Olson, Junhan Wu, Yao-Yi Chiang, Jerod J. Weinman:
LIGHT: Multi-modal Text Linking on Historical Maps. 60-77
Trustworthy Document Analysis Methods and Document Provenance
- Muhammad Mashhood, Momina Moetesum, Faisal Shafait, Adnan Ul-Hasan:
Selective Forgetting in Document Images Using Enhanced Ensembles. 81-98 - Ahmad Sarmad Ali, Momina Moetesum, Faisal Shafait, Adnan Ul-Hasan:
Federated Unlearning with Clustered Asynchronous Aggregation and Ensemble Learning for Efficient Privacy-Preserving Document Analysis. 99-115 - Dengshan Yang, Mahpirat Muhammat, Xuebin Xu, Alimjan Aysa, Kurban Ubul:
Multi-scale Convolution Combined with DTW for Online Signature Verification. 116-128 - Marco Peer, Robert Sablatnig, Florian Kleber:
Towards the Influence of Text Quantity on Writer Retrieval. 129-145
Handwriting Recognition 2
- Yew Lee Tan, Ernest Yu Kai Chew, Jung-Jae Kim, Adams Wai-Kin Kong:
Dual Downsample Vision Transformer for Handwritten Text Recognition. 149-166 - Ryo Ishiyama, Shinnosuke Matsuo, Seiichi Uchida:
Computer-Aided Multi-stroke Character Simplification by Stroke Removal. 167-183 - Ernest Yu Kai Chew, Adams Wai-Kin Kong, Joo-Hwee Lim:
A Unified Model for Paragraph and Line-Level Handwritten Text Recognition. 184-200 - Sizhu Wang, Yingshan Shen, Xiaofeng Yuan:
SANet: Multi-scale Dynamic Aggregation for Chinese Handwriting Recognition. 201-216
Camera Based Methods and Font Analysis
- Fan Yang, Nanfeng Jiang, Da-Han Wang, Yun Wu:
FCD-Net: Frequency and Contrastive Learning-Driven Network for Document Image Shadow Removal. 219-235 - Mobai Xue, Jun Du, Pengfei Hu:
SPS-CG: Shape, Pronunciation, and Semantic Joint Modeling for Chinese Character Generation. 236-252 - Ritabrata Chakraborty, Palaiahnakote Shivakumara, Umapada Pal, Cheng-Lin Liu:
A Lightweight Context-Driven Training-Free Network for Scene Text Segmentation and Recognition. 253-272 - Daichi Haraguchi, Wataru Shimoda, Kota Yamaguchi, Seiichi Uchida:
Total Disentanglement of Font Images Into Style and Character Class Features. 273-290
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