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Call for Tutorial Proposals

Tutorials Chairs: Madhu Srinivasan, Katarina Doctor, and Bolei Zhou 

Proposal Deadline: Dec 15, 2024

Notifications by: Feb 15, 2025

Email contact: tutorials-cvpr-2025@googlegroups.com 

Submission method: https://openreview.net/group?id=thecvf.com/CVPR/2025/Tutorial 

We solicit proposals for short courses and tutorials to be held at the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025).

Courses and tutorials will take place on June 11th and 12th at the same venue as the main conference in Nashville, Tennessee, USA.  A CVPR short course or tutorial should aim to give a comprehensive overview of a specific topic that is closely related to computer vision and pattern recognition. A good tutorial should be educational rather than just a cursory survey of techniques. The topic should be of sufficient relevance and importance to attract significant interest from the CVPR community. Typical tutorial audiences consist of graduate students, researchers, and practitioners from both academia and industry. We invite proposals for both half-day and full-day courses but anticipate that most courses will be half-day unless the topic is expected to attract widespread community attention or will require additional time.

In the past few years, the number of tutorial proposals has been increasing rapidly. Due to space and time limitations, as well as to encourage equitable coverage of diverse topics, we will only be able to retain a limited number of proposals. Therefore, we encourage the tutorial organizers to submit proposals that are specific and detailed in justifying relevance, viability and uniqueness. Please see the submission instructions below for additional details.

For more information about typical CVPR tutorials and short courses, we encourage potential proposers to consult the accepted tutorials from recent years:

2024: https://cvpr.thecvf.com/Conferences/2024/tutorial-list
2023: https://cvpr2023.thecvf.com/Conferences/2023/tutorial-list
2022: https://cvpr2022.thecvf.com/tutorial-list
2021: http://cvpr2021.thecvf.com/node/37
2020: http://cvpr2020.thecvf.com/program/tutorials
 

Submission Instructions

Proposals should be submitted via Openreview portal: https://openreview.net/group?id=thecvf.com/CVPR/2025/Tutorial,  by Dec 15, 2024.

Proposals should be in PDF format of at most three pages (excluding biographies), and should include the following information:

  • Proposed title;
  • Proposers' names, titles, affiliations, emails, and brief bio sketches;
  • Preference for half- or full-day event (the latter requires a brief justification);
  • Course description with a list of topics to be covered, a schedule along with a brief outline and important details;
  • Identify a primary subject/application area (e.g., diffusion transformers for vision tasks), as well as up to 5 secondary subject areas (e.g., “video analysis” and “autonomous driving”);
  • Expected target audience, in terms of both composition and estimated number of attendees: Small (< 100 attendees), Medium (100-300 attendees), Large (>300 attendees);
  • Format: Specify the intended format in advance - in-person or mixed in-person attendance. Please describe how you will support virtual attendance if the workshop is partially virtual;
  • List of at most 10 citations and/or URLs to relevant publications and/or products by the organizers, and to other relevant related work;
  • A description of how this proposal relates to tutorials/short courses appearing at CVPR, ICCV, and ECCV within the last three years;
  • Links to a few previous recorded talks given by the presenters (if available);
  • Description of and/or links to any planned materials or resources to be distributed to attendees;
  • Special space or equipment requests, if any. Please note due to the space limit, it will be difficult to accommodate all the needs.

Special notes on the tutorial structure

  • The presentations can have max 3 speakers (half-day) or 5 speakers (full-day). If more speakers are necessary, please provide a brief justification in the proposal;
  • If there is a panel discussion at the end of the tutorial session, the organization details (duration, number of panelists) must be provided in the proposal. 

Evaluation criteria

Tutorial proposals will be evaluated based on the following criteria. 

  • Educational value, interest, and relevance.
    • We encourage topics and scope that have high educational value, are of broad interest to the community, and can inspire further research activities. A good tutorial should not simply be a survey of the presenters’ own works. The topics should not have been covered extensively in recent major computer vision conferences unless there are strong reasons to continue educating the community on the topics (e.g., useful theory or method that is evolving/improving rapidly). 
    • We welcome proposals on emerging technical areas, societal and ethical implications of computer vision, and also topics that may not be seen as "traditional" in the CVPR community.
  • Track record and expertise of organizers/speakers.
    • The presenters/speakers should have representative publications on the proposed topics, and experience in giving tutorials, classes, or talks with high educational value.
    • We encourage 
  • Diversity in the organizing team and speakers.
    • We encourage diversity in the organizing teams and speakers in all aspects, including gender, race, affiliation, geography, seniority, and perspective (e.g., advocates vs critics, academia vs industry). The CVPR Diversity, Equity, and Inclusion (DEI) and Tutorial Chairs are available to help, if needed, on this evaluation criterion. 
  • Adherence to submission instructions
    • Proposals that are incomplete, or fail to comply with submission instructions will be desk rejected.

Questions

For any questions, please contact the tutorial chairs, Madhu Srinivasan, Katarina Doctor, and Bolei Zhou at tutorials-cvpr-2025@googlegroups.com.