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Call for Papers

FashionAI:
Exploring the Intersection of Fashion and Artificial Intelligence
for Reshaping the Industry

International Workshop at ECCV 2024
https://sites.google.com/view/fashionai2024

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=== The deadline has been extended to July 19, 2024! ====

(11:59 p.m. CET)

Apologies for multiple posting

Please distribute this call to interested parties

AIMS AND SCOPE

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The fashion domain is entering a transformative era marked by both opportunities and challenges that are closely linked to the integration of generative AI and computer vision solutions, with a strong focus on both research and technology transfer. These challenges, which range from the automation of complex design processes to the personalization of customer experiences and the optimization of supply chains, are not unique to any single company but are shared by the entire spectrum of companies operating in the luxury fashion sector. They also resonate deeply within the computer vision community, where ongoing research and development are pushing the limits of what is possible with fashion AI. 

This workshop is designed to be a central platform for presenting the latest advances in addressing these common challenges. More importantly, it aims to establish a dedicated fashion AI community. Such a community is conceived as a collaborative network of AI researchers, fashion designers, industry practitioners, and technology innovators. Its purpose is to foster ongoing dialogue, exchange of ideas, and collaborative projects that not only address current challenges but also anticipate and prepare for future trends. By encouraging open communication and collaboration, the workshop aims to create a synergy that leverages the strengths of both the AI and fashion sectors.

TOPICS

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The workshop calls for submissions addressing, but not limited to, the following topics:

• Style and Product Recommendation

• Cross-Domain Visual Search for Fashion

• Visual Size and Fit Advice

• Garment Classification and Retrieval

• Virtual Try-On

• Body Shape Prediction

• Automatic Article Tagging

• Trend Analysis and Forecasting

• Personal Shopping Assistants

• Efficient Methods for Fashion Search

• Fashion Analysis in Videos

• Generative Design Algorithms with Humans in the Loop

• Creative Visual Content Generation for Fashion

• Clothing Landmark Estimation

• Application of LLMs and Multimodal LLMs to Fashion

IMPORTANT DATES

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• Paper Submission Deadline: July 12, 2024 July 19, 2024 (extended)

• Decision to Authors: August 10, 2024

• Camera ready papers due: August 20, 2024

SUBMISSION GUIDELINES

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Papers should be submitted at: https://cmt3.research.microsoft.com/FashionAI2024.

At the time of submission, authors must indicate the type of the paper:

• Regular papers: will be peer-reviewed following the same policy of the main conference and will be published in the ECCV workshop proceedings. These are meant to present novel contributions not published previously (submitted papers should not have been published, accepted, or under review elsewhere).

• Presentation papers: are meant for papers that are currently under review or have been already accepted for publication previously, preferably in the last year, in some major conferences or journals. These papers will undergo a soft-reviewing process by the chairs to assess their suitability for the workshop topics. These will not appear in the proceedings.

All papers (both regular and presentation) must be prepared according to the ECCV guidelines, with a maximum of 14 pages plus unlimited pages for references. Regular papers will be reviewed by at least two reviewers with double-blind peer-review policy. Presentation papers do not need to be anonymized. Manuscripts must be submitted as pdf documents following using the ECCV main conference templates available at: https://eccv2024.ecva.net/Conferences/2024/SubmissionPolicies. 

ORGANIZING COMMITTEE

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• Rita Cucchiara, University of Modena and Reggio Emilia, Italy

• Emanuele Frontoni, University of Macerata, Italy

• Marcella Cornia, University of Modena and Reggio Emilia, Italy

• Marina Paolanti, University of Macerata, Italy