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 co-located with CVPR that focuses on machine learning for autonomous perception systems, particularly in robotics and autonomous driving. It aims to bring together researchers to present and discuss novel methods for perception tasks using machine learning, with an emphasis on real-world applications and challenges.
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
Preliminary results, novel ideas, or system demonstrations with limited experimental scope.
Journal-first papers
Papers that have been accepted or are under review at a journal, with a focus on extended versions of prior conference work.
Research areas in scope
01
Topics
Perception for autonomous drivingPerception for roboticsMultimodal perception3D perceptionTemporal perception and forecastingSelf-supervised and unsupervised perceptionEfficient and robust perception modelsPerception in adverse conditionsBenchmarking and evaluation of perception systemsIntegration of perception with planning and control
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 8 pages, short papers to 4 pages, excluding references.
- Dual submission to other conferences or journals is not allowed during review.
- Author lists and affiliations may not be changed after the submission deadline.
- Authors must include a statement regarding the use of AI tools 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