Archival Paper
8-page papers formatted using CVPR 2026 author guidelines; accepted papers appear in official CVPR workshop proceedings.
Computer Vision/CORE Unranked
A2A-MML 2026
Any-to-Any Multimodal Learning CVPR Workshop 2026
The A2A-MML 2026 workshop, held in conjunction with CVPR 2026 in Denver, CO, focuses on advancing any-to-any multimodal learning—systems capable of understanding, aligning, transforming, and generating across arbitrary combinations of modalities beyond fixed pairs. It centers on three pillars: multimodal representation learning, transformation, and collaboration, aiming to enable more flexible, generalizable, and embodied multimodal intelligence.
Key deadlines
Verified September 9, 2026Full paper
April 4, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
April 4, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Non-archival Paper
Short (2–4 pages) or regular (up to 8 pages) papers; not published in main proceedings.
Research areas in scope
01
Core Themes
Multimodal Representation LearningMultimodal TransformationMultimodal Synergistic CollaborationBenchmarking and Evaluation for Any-to-Any Multimodal Learning
02
Additional Topics
Unified multimodal foundation and agentic modelsRepresentation learning for embodied and interactive systemsIntegration of underexplored modalities and cognitive perspectives on multimodal perception and reasoning
Policies worth checking twice
- All submissions must be written in English.
- Submissions must follow the official CVPR 2026 author guidelines.
- Double-blind review policy is enforced.
- Authors of 8-page archival submissions not accepted may opt in to be considered for the non-archival track.
- Camera-ready papers must be submitted by April 24, 2026, for both archival and non-archival tracks.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026