Full papers
Submitted papers must be between 4 and 14 pages, excluding references, and must follow the ECCV paper format with mature work, full experiments, and analyses.
Computer Vision/CORE Unranked
HCMIW 2026
The 1st Workshop on Human-Centered Multimodal Intelligence in the Wild
HCMIW@ECCV2026 is the first workshop focused on Human-Centered Multimodal Intelligence in the Wild, aiming to bridge the gap between theoretical multimodal foundation models (MLLMs) and real-world human-aligned applications. It emphasizes robust perception, reasoning, and deployment in unstructured environments, with a focus on adapting vision systems to dynamic, heterogeneous, and adverse real-world conditions.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Topics of Interest
Foundation models for human-centric perception, understanding, and reasoning.Multimodal learning for human behavior understanding, interaction analysis, and activity recognition.Perception in adverse conditions, including low light, occlusion, motion blur, and sensor noise.Cross-modal grounding across RGB, thermal, infrared, depth, event cameras, LiDAR, and audio.Generalization, adaptation, robustness, and reliability in real-world human-centered systems.Benchmarks, datasets, evaluation protocols, and deployment-oriented analysis for in-the-wild scenarios.
Policies worth checking twice
- Submissions must follow the ECCV paper format and style guide.
- Papers must be between 4 and 14 pages, excluding references; papers outside this range will not be accepted.
- Double-blind review is adopted: submissions and supplementary materials must not reveal author information.
- Dual submission is not allowed: papers cannot be published, under review, or submitted elsewhere.
- Accepted papers are expected to be published in ECCV proceedings.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026