Computer Vision in Advertising and Marketing
1st CVAM Workshop @ ICCV 2025
📅 Workshop Date: TBD (During ICCV 2025)
📍 Location: In-person at ICCV 2025. Honolulu, Hawaii
🔗 Workshop Website
🌟 Overview
The CVAM workshop aims to bridge the gap between academic research and industry needs in the rapidly evolving advertising and marketing sector. With over $600B in annual spend, advertising remains a visually rich domain that is still underrepresented in the computer vision research community. From brand safety and contextual targeting to creative generation and performance forecasting, CVAM will explore how modern computer vision and generative AI can drive innovation across the advertising value chain.
We invite high-quality paper submissions addressing novel research, systems, and applications at the intersection of computer vision, marketing optimization, and advertising technology.
📌 Key Topics
- Multimodal understanding of visual and textual ad content
- Real-time bidding and conversion rate prediction
- Brand safety, logo/product detection, and visual brand consistency
- Generative AI for ad personalization and content optimization
- Privacy-preserving analytics and responsible AI in marketing
📅 Important Dates
ICCV Proceedings Track (Full Papers – 4 to 8 pages, excluding references)
- Submission Deadline: June 15, 2025
- Notification of Acceptance: July 7, 2025
- Publication: In official ICCV 2025 Workshop Proceedings
ArXiv Track (Short Papers – up to 4 pages)
- Submission Deadline: August 5, 2025
- Notification of Acceptance: August 27, 2025
- Publication: Hosted on arXiv + workshop website (non-archival)
✅ Submission Instructions
- Follow the ICCV 2025 formatting guidelines.
- Double-blind peer review process. No rebutal process.
- Each paper will be reviewed by at least two experts.
- Accepted papers will be presented during poster and lightning talk sessions at the workshop.
- Submissions should be uploaded to OpenReview.
👥 Organizers
- Alicja Kwasniewska (AWS)
- Subarna Tripathi (Intel Labs)
- Maciej Szankin (SiMa.ai)
- Tz-Ying Wu (Intel Labs)
- Sayantan Mahinder (Apple)
- Mateusz Ruminski (PrimeAudience)
📬 Questions?
Contact:
📧 Organizers: – cvam-organizers@googlegroups.com
Join us in shaping the future of visual AI in advertising — from pixels to personalization.
Submit your paper and be part of CVAM 2025 at ICCV!
Program, topics and dates are a subject to change.