As part of the ACM Multimedia 2025 Grand Challenge, we invite top-performing teams (Top 3) to submit technical papers detailing their methods and results. These submissions will be peer-reviewed and published in the ACM Digital Library as part of the conference proceedings.
Please carefully follow the guidelines below.
10.03.2025: Registration opens
21.03.2025: Dataset release
30.03.2025: Evaluation begins
20.06.2025: Evaluation ends
23.06.2025: Paper invitation decision
17.07.2025: Paper submission deadline
24.07.2025: Paper notification
30.07.2025: Camera-ready submission
Who can submit (Invitation): The top 3 teams from the IntentVC Grand Challenge leaderboard.
Submission format
Length: Up to 6 pages (main content) + 2 additional pages for references only.
Template: Please follow the template provided on the ACM MM 2025: https://acmmm2025.org/call-for-papers/.
Submitted papers (.pdf format) must use the ACM Article Template (https://www.acm.org/publications/proceedings-template). Please remember to add Concepts and Keywords. Please use the template in traditional double-column format to prepare your submissions. For example, Word users should use the Word Interim Template, and LaTeX users should use a sample-sigconf-authordraft template.
Anonymity: Submissions are NOT blind. Please include author names and affiliations.
Submission portal: By invitation (via email).
Submission file (in .zip format), please include the following:
Manuscript (PDF)
Assign a method name (e.g., TeamName-VC) so that we can cite your paper in the official challenge summary paper.
Make sure to cite the IntentVC Challenge in your paper to acknowledge the context of your work.
@inproceedings{intentvc2025,
title = {IntentVC 2025: The ACM Multimedia Grand Challenge on Intention-Oriented Controllable Video Captioning},
author = {Komamizu, Takahiro and Kastner, Marc A. and Kawanishi, Yasutomo and Nguyen, Trung Thanh and Chen, Junan},
booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
year = {2025},
pages = {1--2},
}
Source Code
Complete source code with a clear and detailed usage guideline or README.
A downloadable link (e.g., Google Drive, etc.) to the trained weights that allow the organizers to reproduce the results on the leaderboard.
⚠️ IMPORTANT
All files should be compressed into a single .zip file and submitted via the designated portal.
The submitted .zip file name should be your name or team name.
Make sure your submitted manuscript is camera-ready, including all authors, funding information, and acknowledgements.
We encourage all teams to make their source code publicly available to support research and development in this field.
Submitted materials will be used for review purposes only.
ArXiv/archive policy follows the guidelines outlined at: https://acmmm2025.org/call-for-papers/
Submissions will undergo a peer-review process managed by the challenge organizers and/or ACM MM Grand Challenge chairs.
Accepted papers will be published in the ACM Digital Library as part of the ACM MM 2025 Proceedings.