Welcome to the March edition of the TC10 newsletter.
In this edition you will find a welcome message from the new TC10 Chair, Prof. KC Santosh! This issue also includes, the list of ICDAR 2025 competitions, the open call for organizing next DAR events and the last IJDAR issue articles list.
ICDAR 2025 full papers deadline has just been extended to March 14th, good luck with finalizing your articles!
Best regards,
Christophe Rigaud
IAPR-TC10 Communications Officer
Call for contributions: feel free to contribute to TC10 newsletters, by sending any relevant news, event, notice, open position, dataset or link to us on iapr.tc10[at]gmail.com
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1) Upcoming deadlines and events
2025
- Deadlines
Feb. 21March 14, ICDAR 2025 full paper submission deadline
- Events:
- June 17-20, conference IGS 2025, Polythechnique, Montréal, Canada
- September 16-21, conference ICDAR 2025, Wuhan, Hubei, China
- November 10-13, conference ACPR 2025, Gold Coast, Australia
2) Message from the new TC10 Chair
As the newly appointed Chair of IAPR’s Technical Committee 10 (TC10) on Graphics Recognition, I am honored to serve this dynamic and evolving research community. Graphics recognition plays a vital role in document image analysis, with applications spanning engineering drawings, historical manuscripts, maps, medical informatics, and more—ultimately serving to enhance human understanding and interaction with visual data. TC10 remains committed to fostering collaboration, advancing research, and supporting innovative developments in this field. Through our flagship events, including the ICDAR conference and GREC workshop, as well as community-driven initiatives such as datasets, competitions, and benchmarking efforts, we aim to strengthen engagement and drive progress.
Unlike before, I am committed to recruiting and preparing new talents for the community (not just limited to TC-10 committee) and creating special journal issues for upcoming GREC workshops. I encourage you to stay connected, contribute to our activities, and help expand our community.
Your participation matters! I will ensure that your presence and contributions are valued. Let’s work together to shape the future of graphics recognition!
KC Santosh, PhD
Professor (AI) and Chair, University of South Dakota (www.kc-santosh.org)
Founding Director, AI Research Lab (www.ai-research-lab.org)
3) ICDAR 2025 competition list
1. ICDAR 2025 Competition on Historical Map Text Detection, Recognition, and Linking
2. ICDAR 2025 Competition on Understanding Chinese College Entrance Exam Papers
3. ICDAR 2025 Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST)
4. ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts
5. ICDAR 2025 Competition on Multi-lingual Roadside Scene Text Recognition
6. ICDAR 2025 Competition on Automatic Classification of Literary Epochs
7. ICDAR 2025 Competition on Handwritten Text Recognition and Understanding
8. ICDAR 2025 Competition on Comics Understanding in the Era of Foundational Models
9. ICDAR 2025 Competition on Glyph Detection in 15th-Century European Printed Documents (to be confirmed)
4) Open Call for Organizing DAR Events
The IAPR technical committees on graphics recognition (TC10) and reading systems (TC11) are regularly organizing scientific events for the Document Analysis and Recognition (DAR) community, including the ICDAR flagship conference.
In addition to specific calls for bids to host one of the events, we encourage teams to announce their interest in organizing one of the following events:
- ICDAR: International Conference on Document Analysis and Recognition (annually; next possibility in 2028)
- DAS: International Workshop on Document Analysis Systems (satellite event of ICDAR in even years; next possibility in 2026)
- HIP: International Workshop on Historical Document Imaging and Processing (satellite event of ICDAR in odd years; next possibility in 2025)
- GREC: International Workshop on Graphics Recognition (satellite event of ICDAR in odd years; next possibility in 2025)
- SSDA: Summer School on Document Analysis (biannually in odd years; next possibility in 2025).
Anyone interested in hosting one of these events is invited to announce their interest via email to kc.santosh@usd.edu and andreas.fischer@unifr.ch, in order to receive feedback and support for preparing a proposal.
KC Santosh (Chair, TC10)
Andreas Fischer (Chair, TC11)
5) IJDAR article alert (vol. 27, issue 3)
Volume 27, issue 3, September 2024. Please find below a link to the 18 articles:
Editorial for special issue on “advanced topics in document analysis and recognition”
Elisa H. Barney, Smith Marcus Liwicki, Simone Marinai
Exploring recursive neural networks for compact handwritten text recognition models
Enrique Mas-Candela & Jorge Calvo-Zaragoza
Self-training for handwritten word recognition and retrieval
Fabian Wolf & Gernot A. Fink
Neural models for semantic analysis of handwritten document images
Oliver Tüselmann & Gernot A. Fink
Evaluating learned feature aggregators for writer retrieval
Alexander Mattick, Martin Mayr, …, Vincent Christlein
CHWmaster: mastering Chinese handwriting via sliding-window recurrent neural networks
Shilong Li, Shusen Tang & Zhouhui Lian
Towards reduced-complexity scene text recognition (RCSTR) through a novel salient feature selection
Rina Buoy, Masakazu Iwamura, … , Koichi Kise
Parstr: partially autoregressive scene text recognition
Rina Buoy, Masakazu Iwamura, … , Koichi Kise
SemiDocSeg: harnessing semi-supervised learning for document layout analysis
Ayan Banerjee, Sanket Biswas, … , Umapada Pal
Approximate ground truth generation for semantic labeling of historical documents with minimal human effort – open access
Najoua Rahal, Lars Vögtlin & Rolf Ingold
Table image dewarping with key element segmentation
Ziyi Zhu, Zhi Tang Liangcai Gao
End-to-end semi-supervised approach with modulated object queries for table detection in documents
Iqraa Ehsan, Tahira Shehzadi, … , Muhammad Zeshan Afzal
A unified representation framework for the evaluation of Optical Music Recognition systems – open access
Pau Torras Sanket Biswas Alicia Fornés
ChemScraper: leveraging PDF graphics instructions for molecular diagram parsing
Ayush Kumar Shah, Bryan Amador, … , Richard Zanibbi
Generate, transform, and clean: the role of GANs and transformers in palm leaf manuscript generation and enhancement
Nimol Thuon, Jun Du, … , Pengfei Hu
Am I readable? Transfer learning based document image rectification
Pooja Kumari Sukhendu Das
DocXclassifier: towards a robust and interpretable deep neural network for document image classification
Saifullah Saifullah, Stefan Agne, … , Sheraz Ahmed
Towards privacy preserved document image classification: a comprehensive benchmark
Saifullah Saifullah, Dominique Mercier, … , Sheraz Ahmed
6) Job offers – 1 new
Postdoctoral Researcher in Artificial Intelligence,
AI Research Lab
University of South Dakota
URL: https://yourfuture.sdbor.edu/postings/41727
The Department of Computer Science at the University of South Dakota (USD) is currently seeking a talented individual to join our dynamic and innovative research team as Postdoctoral Researcher. The role involves working on the advancement of artificial intelligence (AI) and machine learning, in line with USD’s mission as the flagship university of the state, and home to South Dakota’s leading programs in AI.
The successful candidate will engage in cutting-edge research projects in machine learning, computer vision, and specialized areas such as xAI, AI ethics, human AI, sustainable AI, and green computing. They will be expected to contribute to ongoing research activities, publish in top-tier conferences and journals, and collaborate with researchers (in healthcare, for example).
Duties & responsibilities:
- Work on machine learning models (human AI) and contribute to ongoing research activities
- Publish work in peer-reviewed high impact scientific conferences and journals, such as ICCV, CVPR and IEEE Transactions
- Assist in writing research grant proposals
Qualifications:
- A Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related field
- Strong mathematical foundation
- Strong programming skills in languages such as Python, Julia, MATLAB, Rust, and/or C++
- Proven track record of research excellence, as evidenced by publications in top-tier conferences and journals in machine learning and computer vision
- Strong written and oral communication skills
- Be able to conduct independent research
The position is for a one-year term, with the possibility of extension based on performance and funding availability. Competitive salary and benefits package will be provided. To apply, please submit a cover letter (1 page), CV, research statement (1 page), copy of one publication, and contact information for three references. Applications will be reviewed on a rolling basis until the position is filled. Immediate hiring is possible.
https://yourfuture.sdbor.edu/postings/41727
For further information, please contact Prof. Dr. KC Santosh, Department Chair, at kc.santosh@usd.edu. To learn more about funding, please follow the link: https://sd-bcc.org.