7th edition of RetailVision Workshop Call for Papers
We are happy to announce the
7th edition of RetailVision Workshop
at ECCV 2026,
which brings together researchers and practitioners interested in how
computer vision and artificial intelligence are transforming the world
of retail, both in physical stores and online.
We are now accepting paper submissions.
Workshop website: https://retailvisionworkshop.github.io
Workshop date: September 8/9, 2026 — half-day workshop
Location: Malmö, Sweden. Co-located with ECCV 2026
Submission website:
https://openreview.net/group?id=thecvf.com/ECCV/2026/Workshop/RetailVision
Paper submission: July 17, 2026 23:59 GMT (July 10, 2026)
Notification of acceptance: August 6, 2026
Camera-ready deadline: August 15, 2026
About the workshop
This is the 7th installment of the RetailVision Workshop, following
previous editions at ICCV 2025 and CVPR 2020-2024. The workshop
focuses on the unique challenges and opportunities that arise when
applying computer vision and artificial intelligence to the retail
domain. The workshop aims to highlight recent progress in these areas
and to foster a community around retail-focused computer vision
research.
Topics of interest include (but not limited to):
Product understanding and recognition: Fine-grained product
recognition; product categorization; multimodal product
understanding; and vision-language models for retail.
Retail scene and shopper understanding: Shopper–product
interaction tracking; shelf monitoring; inventory understanding;
and in-store behavior understanding.
Search, recommendation, and generation: Large-scale visual search
and retrieval; recommendation and personalization using visual
data; product image and video generation; virtual try-on; and
synthetic data generation.
Accepted papers will be included in the official ECCV workshop
proceedings, selected papers will be asked to be presented at the
workshop as an oral talk and/or a poster.
Invited speakers
The invited speakers currently include:
Gerard Pons-Moll — University of Tübingen
Ira Kemelmacher-Shlizerman — University of Washington and Google
Riccardo Marin — Technical University of Munich
Gilad Erlich — Trigo Vision
Yuren Cong — Meta
Organizers
Ehud Barnea — Walmart Global Tech
Yosi Keller — Bar-Ilan University
Marina Paolanti — University of Macerata
Rocco Pietrini — Universitas Mercatorum
Quanfu Fan — Amazon Easy Check-Out Science
Shun Miao — Amazon Easy Check-Out Science
For questions about the workshop, please contact Rocco Pietrini:
rocco.pietrini unimercatorum.it