Call for Papers

RetailVision invites original research submissions that explore the role of computer vision in transforming the retail industry. We welcome full papers presenting innovative methods, systems, or insights. Accepted papers will be included in the official CVPR proceedings, and some will be asked to be presented at the workshop as an oral talk and/or a poster.

Important Dates

  • Paper submission deadline: around July 10, 2026 (the exact date will be announced soon)
  • Notification of acceptance: August 6, 2026
  • Camera-ready deadline: August 15, 2026
  • Workshop date: September 8/9, 2026

Submission Details

Submitted papers must follow the the same guidelines as the papers in the main conference, under the section "Paper formatting". The link for submission will be published soon. At least one of each paper's authors is expected to review two other papers if requested.

RetailVision Overview

Previous workshops: ICCV 2025, CVPR 2024, CVPR 2023, CVPR 2022, CVPR 2021, CVPR 2020

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The rapid development in computer vision and machine learning has caused a major disruption in the retail industry in recent years. In addition to the rise of online shopping, traditional markets also quickly embraced AI-related technology solutions at the physical store level. Following the introduction of computer vision to the world of retail, a new set of challenges emerged. These challenges were further expanded with the introduction of image and video generation capabilities.

The physical domain exhibits challenges such as the detection of shopper and product interactions, fine-grained recognition of visually similar products, as well as new products that are introduced on a daily basis. The online domain contains similar challenges, but with their own twist. Product search and recognition is performed on more than 100,000 classes, each including images, textual captions, and text by users during their search. In addition to discriminative machine learning, image generation has also started being used for the generation of product images and virtual try-on.

All of these challenges are shared by different companies in the field, and are also at the heart of the computer vision community. This workshop aims to present the progress in these challenges and encourage the forming of a community for retail computer vision.

Invited Speakers

Gerard Pons-Moll
University of Tübingen
Ira Kemelmacher-Shlizerman
Univ. Washington and Google
Ricardo Marin
Technical University of Munich
Gilad Erlich
Trigo Vision
Yuren Cong
Meta

Organizers

For questions about the workshop please contact Ehud Barnea (ehud.barnea at gmail dot com).


Adapted from dynavis.github.io