CVPR 2022 Tutorials Call for Proposals
Tutorials Chairs: Boqing Gong (firstname.lastname@example.org) and Julien Mairal (email@example.com)
Proposal Deadline: December 16, 2021 [11:59 p.m. Pacific Standard Time]
Notification by: February 15, 2022 [Pacific Standard Time]
Submission link: Please send your proposal document to firstname.lastname@example.org and prefix your email subject with [Tutorial Proposal].
We solicit proposals for short courses and tutorials to be held at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).
Courses and tutorials will take place on June 19-20 2022, the days before the main conference. We expect to hold an in-person conference with hybrid (physical and on-line) presentations depending on the pandemic situation at the time. We will try to accommodate tutorial presenters that face pandemic travel issues.
A CVPR short course or tutorial should aim to give a comprehensive overview of a specific topic related to computer vision. 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 studying computer vision, but also include 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 the additional time.
For more information about typical CVPR tutorials and short courses, we encourage potential proposers to consult tutorial sites from recent years:
Proposals should be submitted by December 16th, 2021 [11:59 p.m. Pacific Standard Time].
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 list of topics to be covered, along with a brief outline and important details;
- Expected target audience, in terms of both composition and estimated number of attendees;
- 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;
- Finally, please indicate if you would be interested in offering your tutorial in parallel with the main conference program.
- Educational value, interest and relevance.
We encourage topics and scope that have high educational value, 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 organisers/speakers.
The presenters/speakers should have representative publications on the proposed topics, and experience in giving tutorials, classes, or talks with high educational value.
- 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.
For any questions, please contact the tutorial chairs