[AIxIA] [CFP] [WACV] 2nd Physical Retail AI Workshop (PRAW)
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Rocco Pietrini
Dec 12, 2024, 4:06:41 AM12/12/24
to ai...@aixia.it
[CFP] [WACV] 2nd Physical Retail AI Workshop (PRAW) organized
at the 2025 IEEE/CVF Winter Conference on Applications of Computer
Vision (WACV).
We are excited to invite you to join us for the 2nd Physical Retail AI Workshop (PRAW) taking place in Tucson, Arizona during IEEE WACV 2025 (Feb. 28 – Mar. 4, 2025). This year we are welcoming all to attend our half-day workshop on March 5, 2025 (tentative date) to hear engaging talks and discussions from leaders in the field. We also welcome paper submissions from researchers across both academia and industry (submission link).
Workshop Website: https://grocery-vision.github.io/wacv2025.html
Description:
The 2nd Physical Retail AI Workshop (PRAW) aims to bring together researchers and builders working in the physical retail industries to accelerate progress in developing AI-enabled shopping technologies. This workshop includes paper submissions as well as novel industry dataset challenges which will be announced during the workshop this year. Select accepted papers will be invited to present their work during this half-day event. In an evolving world in which consumers have a plurality of shopping methods available to them, physical “brick and mortar” stores continue to be the preferred means of shopping around the world. From groceries to clothing, customers continue to show strong demand for in person shopping. Applications of vision-based Artificial Intelligence (AI) methods are increasingly present throughout society. Fueled by recent advances in Computer Vision, Deep Learning, web-scale training of vision and language models (“foundation models”), and edge compute, AI applications have expanded into a novel array of industries and products. In particular, the physical retail and grocery sectors have recently experienced an explosion of AI-enabled technologies, allowing for more efficient, effortless, and engaging experiences for shoppers, enabling the reduction of shrinkage for retailers, and providing insights on improving store efficiency, thereby reducing operational costs. Computer Vision applications are being deployed to numerous retail sectors, including small convenience stores, large grocery stores, fashion stores, and shopping carts to name a few.
Topics:
The focus of this workshop includes active areas of research and development in the physical retail space, including:
We are excited to invite you to join us for the 2nd Physical Retail AI Workshop (PRAW) taking place in Tucson, Arizona during IEEE WACV 2025 (Feb. 28 – Mar. 4, 2025). This year we are welcoming all to attend our half-day workshop on March 5, 2025 (tentative date) to hear engaging talks and discussions from leaders in the field. We also welcome paper submissions from researchers across both academia and industry (submission link).
Workshop Website: https://grocery-vision.github.io/wacv2025.html
Description:
The 2nd Physical Retail AI Workshop (PRAW) aims to bring together researchers and builders working in the physical retail industries to accelerate progress in developing AI-enabled shopping technologies. This workshop includes paper submissions as well as novel industry dataset challenges which will be announced during the workshop this year. Select accepted papers will be invited to present their work during this half-day event. In an evolving world in which consumers have a plurality of shopping methods available to them, physical “brick and mortar” stores continue to be the preferred means of shopping around the world. From groceries to clothing, customers continue to show strong demand for in person shopping. Applications of vision-based Artificial Intelligence (AI) methods are increasingly present throughout society. Fueled by recent advances in Computer Vision, Deep Learning, web-scale training of vision and language models (“foundation models”), and edge compute, AI applications have expanded into a novel array of industries and products. In particular, the physical retail and grocery sectors have recently experienced an explosion of AI-enabled technologies, allowing for more efficient, effortless, and engaging experiences for shoppers, enabling the reduction of shrinkage for retailers, and providing insights on improving store efficiency, thereby reducing operational costs. Computer Vision applications are being deployed to numerous retail sectors, including small convenience stores, large grocery stores, fashion stores, and shopping carts to name a few.
Topics:
The focus of this workshop includes active areas of research and development in the physical retail space, including:
- Multi-modal modeling for shopping activity recognition, product detection/tracking/identification, and product quantity estimation;
- Applications of Generative AI and Large Language Models (LLM) to Physical Retail applications;
- Zero-Shot learning methods and approaches for activity recognition and understanding, appearance-based classification, and object detection;
- Zero-shot data labeling with foundation models
- Appearance-based classification from a large gallery of product classes in the wild and open-set recognition (OSR);
- Store analytics and shopping cart localization within a store environment;
- Generative models and systems for synthetic data generation of images and videos paired with ground truth labels
Important Dates
Paper Submission Deadline: 20/12/2024
Notification of Acceptance: 03/01/2025
Camera-Ready Paper Deadline (to be included in the proceeding):
10/01/2025
Invited Speakers
- Dr. Yosi Keller. Principal Applied Scientist @Amazon Prime Video; Prof. @Bar-Ilan University
- Dr. Ehud Barnea, Head of AI @Tasq.ai
- Dr. Chris Broaddus, Senior Manager of Applied Science @Amazon Just Walk Out (JWO)
- Dr. Hongcheng Wang, Senior Manager of Applied Science @Amazon One
- Dr. Sharmin Rahman, Senior Applied Scientist @Amazon Easy-Checkout (ECO)
- Dr. Sean Ma, Senior Manager of Applied Science @Amazon Easy-Checkout (ECO)
Organizers
- Dr. Bruno Artacho (Amazon)
- Dr. Austen Groener (Amazon)
- Dr. Y. Robert Chen (Amazon)
- Abhay Doke (Amazon)
- Dr. Sean Ma (Amazon)
- Dr. Shun Miao (Amazon)
- Dr. Quanfu Fan (Amazon)
- Dr. Rocco Pietrini (VRAI Lab - Università Politecnica delle Marche)
If you have any questions, feel free to contact us at:
r.pie...@staff.univpm.it
Dr. Rocco Pietrini, Assistant Professor DII - Department of Information Engineering Università Politecnica delle Marche Via Brecce Bianche 12 60131 Ancona, Italy https://vrailab.it/people/rocco-pietrini/
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