Full papers
Original research contributions with substantial technical depth and experimental validation.
Computer Vision/CORE Unranked
MAPS 2026
Multimodal Alignment for a Pluralistic Society Workshop
MAPS 2026 is a workshop affiliated with CVPR, focusing on machine learning for autonomous perception systems in dynamic environments. It brings together researchers to present and discuss novel methods in perception, prediction, and decision-making for autonomous systems, with an emphasis on real-world applicability and robustness.
Key deadlines
Verified September 9, 2026Full paper
April 18, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
April 18, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Concise presentations of novel ideas, preliminary results, or system demonstrations.
Work-in-progress
Early-stage research or ongoing projects seeking feedback from the community.
Research areas in scope
01
Topics
Perception for autonomous systemsPrediction and behavior modelingSensor fusion and multi-modal learningLearning from simulation to real-world deploymentRobustness and safety in perceptionOnline learning and adaptationEfficient and real-time perception algorithmsBenchmarking and evaluation frameworksHuman-robot interaction and interpretabilityEdge and embedded perception systems
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not exceed 8 pages (excluding references).
- Dual submission to other conferences or journals is not allowed during review.
- Accepted papers will be presented at the workshop and published in the CVPR workshops proceedings.
- Authors must include an AI-use statement if generative AI tools were used in the preparation of the paper.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026