Archival Regular Papers
5–8 pages (including references), following WACV 2027 formatting, undergoing double-blind peer review; accepted papers appear in WACV 2027 Workshop Proceedings and receive a 10-minute oral presentation with Q&A.
Computer Vision/CORE Unranked
WAM-AD 2027
First Workshop on World Action Models for Autonomous Driving
WAM-AD 2027 is a half-day, in-person workshop co-located with WACV 2027, focused on advancing World Action Models (WAMs) for autonomous driving. It brings together researchers in computer vision, generative modeling, and machine learning to develop systems that predict traffic scene dynamics under intervention and generate executable driving actions, bridging perception, prediction, planning, and control.
Key deadlines
Verified September 9, 2026Full paper
October 9, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
October 9, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Research Topics
Action-conditioned traffic-scene prediction, counterfactual simulation, and generative driving world modelsCascaded and joint World Action Model architecturesVision-Language-Action (VLA) models for perception, prediction, planning, and control3D/4D scene, occupancy, map, and agent representations; dynamics and traffic-rule reasoningModel-based planning, reinforcement/imitation learning, memory, and long-horizon closed-loop drivingScalable data engines, digital twins, synthetic corner cases, and simulation-to-reality transferDriving datasets, benchmarks, and metrics for visual fidelity, physical consistency, safety, and task successUncertainty, causal reasoning, interpretability, robustness, human-vehicle interaction, and oversightEfficient on-vehicle WAMs, connected/cooperative driving, and transfer across vehicle platforms
Policies worth checking twice
- Submissions must be double-blind and properly anonymized.
- Papers must use the WACV template and cannot exceed 8 pages including references.
- Maximum abstract size is 4000 characters; submissions must be in PDF format (max 20MB).
- Authorship changes after the submission deadline are prohibited except in exceptional circumstances; no new authors can be added or removed.
- Code and data submissions are encouraged but voluntary; they must be anonymized and include clear setup instructions.
- Submitted code and data are reviewed confidentially and kept private.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026