Call for Papers
Important Dates:
🐈⬛ CMT for submissions: https://cmt3.research.microsoft.com/MMFM2024/
Full-length papers with proceedings Track (CVPR format)
Paper Submission Deadline: March 14, 2024 March 19, 2024
Notification to Authors: April 07, 2024
Camera-ready deadline: April 14, 2024
Non-archived Track
Extended abstracts (4 pages) & Papers accepted to CVPR (8 pages)Paper Submission Deadline: March 21, 2024 April 1, 2024
Notification to Authors: April 20, 2024
Camera-ready deadline: May 05, 2024
All deadlines are until 11:59 pm Pacific Standard Time (PST).
For any questions, please contact Nina Shvetsova at shvetsov@uni-frankfurt.de
Accepted papers (archived or non-archived) will be presented at the poster session.
Topics:
We invite contributions on the topic of multimodal foundation models (MMFMs). Topics of interest include, but are not limited to:
Vision / Sound / Speech / Language tasks using Foundation Models in any possible combination
Data and model scaling properties of MMFMs
Self/semi/weakly supervised training of MMFMs
Multimodal grounding in foundation models
Generative MMFMs (e.g., text-to-image/video/3D generation)
Ethics, risks, and fairness of MMFMs
Efficient training and inference of MMFMs
Parameter-efficient fine-tuning, prompting, and adapters for MMFMs
Generalization of MMFMs to other domains
Multi-task and continual learning for MMFMs
Compositionality and Reasoning Approaches for MMFMs
Submission Guidelines:
Full-length papers with proceedings (CVPR format).
Accepted papers in this track will be published in the CVPR workshop proceedings. The work should be original and 4-8 pages long (excluding references). For this track, we follow the CVPR 2024 dual submissions policy. Thus, the work should be sufficiently original and not under review in other venues.
Extended abstracts (non-archived).
The minimum page limit is two pages, and the maximum is four pages (including references). We encourage the submission of work in progress and work that has been previously published on topics relevant to the workshop. Note that these submissions will not be published in the proceedings. For authors who want to submit their accepted work at this workshop to a different journal or conference, please check their double submissions policy.
Papers accepted to CVPR 2024 (non-archived)
Full-length papers (up to 8 pages, excluding references) accepted to the main CVPR 2024 conference on topics relevant to the workshop.
Supplementary material can be added to the same file after the references. For papers with proceedings, the full file size should be under 5MB.
Manuscripts should follow the CVPR 2024 paper template and should be submitted through the CMT link below.
Review process: single-blind (i.e., submissions need not be anonymized)
🐈⬛ CMT for submissions: https://cmt3.research.microsoft.com/MMFM2024/