[re:VRL] Real-World Video Representation Learning
Date: TBA, Malmo, SE
Location: TBA
[re:VRL] Real-World Video Representation Learning
Date: TBA, Malmo, SE
Location: TBA
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.
INVITED SPEAKERS & PANELISTS
AGENDA
09:00 - 09:10: Introduction
09:10 - 09:40: Invited Talk 1
09:40 - 10:10: Invited Talk 2
10:10 - 10:30: Coffee Break
10:30 - 11:00: Oral Session
11:00 - 11:30: Invited Talk 3
11:30 - 12:00: Panel Discussion
12:00 - 12:05: Closing Remarks
12:05 - 12:30: Coffee Break
12:30 - 13:30: Poster Session
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 TBD *
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.
ORGANIZING TEAM
University of Twente, NL
University of Twente, NL
Eindhoven University of Technology, NL
Bocconi University, IT