Archival Track
Full papers that are peer-reviewed and published in the ECCV 2026 workshop proceedings with archival status.
Computer Vision/CORE Unranked
ECCV-HuMoWM 2026
ECCV26 Workshop: Human Motion-Informed World Models and Socially Intelligent Action
The ECCV 2026 Workshop on Human Motion-Informed World Models (HuMoWM) brings together researchers to advance world models that incorporate human motion understanding, with applications in robotics, computer vision, and AI. The workshop focuses on integrating motion dynamics into predictive models and encourages submissions that bridge perception, reasoning, and action in human-centric environments.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Non-Archival Track
Work-in-progress or preliminary results that are presented at the workshop but not published in the proceedings.
Research areas in scope
01
Research Topics
Human motion representation and modelingMotion-informed world model architecturesSim-to-real transfer using motion priorsTemporal reasoning and prediction from human motionMultimodal fusion of motion with vision and languageEvaluation benchmarks for human motion world modelsEthical and safety considerations in motion modeling
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not be under review at any other conference or journal during submission.
- Authors may not submit substantially similar work to both archival and non-archival tracks.
- All submissions must include a statement on the use of AI tools in the research and writing process.
- Camera-ready versions must adhere to the ECCV 2026 formatting guidelines.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026