Real-world deployment introduces challenges that benchmarks often overlook, including limited compute, strict latency requirements, domain shifts, and noisy or incomplete data. This workshop addresses these gaps by focusing on Real-World Video Representation Learning: transitioning from evaluation-driven development to model representations designed for real-world deployment.

By shifting the focus from leaderboard-driven improvements to reliability, efficiency, adaptability, and real-world generalization, the workshop aims to bridge cutting-edge research in video representation learning with the operational demands of real-world AI systems. Overall, it promotes a research agenda that prioritizes impact, deployability, and sustained performance beyond controlled benchmarks.

We welcome extended abstracts of up to seven (7) pages, excluding references. Submissions may present work in progress, exploratory or preliminary research, or previously published work. Accepted papers will not be included in the official ECCV workshop proceedings and may be submitted to other venues in the future.

Note that extended abstracts selected for the oral session will be presented both during the conference and at the poster session. All accepted extended abstracts will be presented as posters.

Submission Guideline and Paper template:  Submissions will be double-blind peer reviewed and must be submitted as a single PDF file. Please use the ECCV paper template.

Areas of interest include:

• Video Representation Learning

• Efficient and Lightweight Models

• Streaming and Real-Time Video Understanding

• Deployment-Aware Learning

• Edge Vision and On-Device Video AI

• Continual and Lifelong Learning

• Domain Adaptation and Generalization

• Robustness to Noise and Long-Tail Events

• Scalable Video Learning

• Multimodal Video Representations

• Self-Supervised or Unsupervised Learning for Video

• Evaluation Beyond Benchmarks

• Interpretability, Reliability, and Safety

• Applications in Real-World Systems

• Privacy-Aware and Secure Video Models

Important dates and deadlines:

Extended abstract submission: July 18, 2026

Acceptance notification: July 30, 2026

Submit your work at the following site link *

Registration: You must register at ECCV to attend the workshop and present your work.

* The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.