Call For Tutorials

The ICDAR 2026 Organizing Committee invites proposals for tutorials to be held on August 30, 2026 before the main conference commences.

Objectives 

We seek tutorials on core techniques, application areas and emerging research topics that are of interest within the ICDAR community. The topic should be relevant and significant enough to attract interest from the ICDAR community. Typical audiences include PhD students in document analysis, computer vision, image processing, natural language processing, and pattern recognition, as well as researchers and practitioners from academia and industry. 

A good tutorial should provide a broad introduction to the chosen research area as well as in-depth coverage on selected advanced topics. Proposals that focus exclusively on the presenters’ own work or commercial presentations are not eligible.

To foster collaboration between academia and industry, the Tutorial Chairs strongly encourage proposals for industrial tutorials. These tutorials should focus on real-world DAR applications, presenting industrial solutions and challenges encountered in practical settings.

Proposal Guidelines 

Proposals should be no longer than four (4) pages and must include the following information:

  1. Proposed title of the tutorial;
  2. Scope and motivation: A concise description of the tutorial, suitable for the conference registration brochure;
  3. Presenter details: Names, titles, affiliations, emails, brief bio sketches, web pages, background in the tutorial area (e.g., relevant projects, publications, or tutorials), and evidence of teaching experience of all persons delivering the tutorial, including links to recordings of previous tutorials, if available.
  4. Corresponding presenter: Name and email address of the main presenter, who must be available for correspondence during the evaluation process;
  5. Preferred duration: (half-day or full-day). Due to scheduling constraints, half-day tutorials are preferred (3-3.5 hours plus breaks). If a full-day session is required, please provide justification;
  6. Detailed outline: A structured course description with the list of topics to be covered, along with a brief outline and important details; any innovative pedagogy employed; any hands-on participation, etc.;
  7. Relevance to ICDAR: Explanation of why the topic is of interest to the ICDAR audience (please refer to the ICDAR call for papers as well);
  8. Expected audience: Target attendees, estimated number of participants, and prerequisite knowledge required;
  9. Additional information: List of citations and/or URLs to relevant publications and/or products by the organizers, and to other relevant related work;
  10. Related tutorials (if applicable): a description of how this proposal relates to tutorials/short courses appearing at ICDAR (and also other major related conferences) within the last three editions (list if provided below).
  11. Resources: Description of and/or links to any planned materials or resources to be distributed to attendees.
  12. Accessibility and inclusivity statement: will there be specific requirements or will the tutorial be accessible for everyone (e.g., people with special needs, vision, hearing, …). Furthermore, is the tutorial accessible for everyone, disregarding nationality, gender, religion?

A strong proposal should be well-structured, clearly motivated, and appealing to the Document Analysis and Recognition community. Proposals should aim to attract a meaningful audience, cover current and emerging topics, and contribute valuable insights to the community. Tutorials should present well-established information in a balanced manner, rather than promoting a single research avenue or specific product.

Previous Accepted Tutorials

ICDAR 2025 (https://www.icdar2025.com/program/tutorials):

  • Beyond Recognition: A Multidimensional Exploration of Characters
  • How to train a Multi-modal Large Document Understanding Model?
  • General Introduction to Oracle Bone Scripts Processing
  • Historical Documents in Focus: Visual and Computational Analysis from Papyri to Inscriptions

ICDAR 2024 (https://icdar2024.net/tutorials):

  • ICDAR Tutorial on Private, Collaborative Learning in Document Analysis
  • Retrieval Augmented Generation (RAG): Bridging Document Analysis and Recognition with Large Language
  • Models Multi-modal Document Summarization in the era of LLMs & VLMs  
  • Hands-On Deep Learning for Document Analysis 

ICDAR 2023 (https://icdar2023.org/program/tutorials):

  • Computational Analysis of Historical Documents
  • Deep Learning
  • Document Image Binarization
  • Unlocking the Potential of Unstructured Data in Business Documents Through Document Intelligence


Evaluation Criteria

Tutorial proposals will be evaluated based on (in order of importance):

  • General interest and relevance for ICDAR attendees.
  • Complementarity to the main conference.
  • Quality and clarity of the proposal.
  • Expertise and presentation skills/experience of the presenters.

Additional Notes

  • Tutorial slides will be made available on the ICDAR website, as well as on TC-10 and TC-11 websites, for educational purposes.
  • The ICDAR main conference organizers will manage tutorial registration and provide necessary logistical support (e.g., room, projector, screen, and coffee breaks).
  • Tutorial organisers are responsible for compiling and distributing notes to the participants and for leading the tutorial (typically digitally).


Submission Guidelines & Contact Information 

Submitted via email to the Tutorial Chairs: [email protected]

Deadline: November 28th 2025

Acceptance Notification: December 19th 2025

Tutorial Chairs
Anna Scius-Bertrand, Anna Zhu, Marcus Liwicki