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The MetaFood Workshop is a premier venue for research that addresses the pressing challenges of applying state-of-the-art computer vision algorithms to food-related data. While modern computer vision models excel on well-curated datasets, they struggle when confronted with food data in natural, uncontrolled environments—often called “data in the wild”. This difficulty arises from the inherent complexities of food imagery, such as noisy, watermarked, and low-resolution data commonly found online.

The MetaFood Workshop aims to bridge this gap by showcasing groundbreaking research and fostering discussions on innovative methods for analyzing and digitizing food data. We invite the computer vision community to tackle these challenges and contribute solutions that can drive forward the fields of food computing and AI-driven food analysis.

Our program will feature technical paper presentations and invited talks from leading experts. 

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Topics of interest include, but are not limited to:

•     Multi-modal food data analysis covering images, video, audio, structured and/or unstructured text data
•     Reasoning, in-context learning, and retrieval-augmented generation with Large-Language Models (LLMs)/ Vision-Language Models (VLMs) for food
•     Food ontologies and LLM-based models for food data analysis
•     Visual question answering with VLMs for food
•     Food data analysis and uncertainty modeling
•     Learning with noisy food labels
•     Continual, self-supervised, semi-supervised, and unsupervised learning for food
•     Food classification/detection/segmentation with 2D/3D bias
•     Food 3D model reconstruction, Novel View Synthesis for food objects
•     Food portion/nutrition value estimation
•     Food manipulation understanding, robotic perception systems for food manipulation
•     Food image quality analysis/inspection
•     Food image/video generation and Generative AI
•     Food video analysis and action (eating, cooking, etc.) recognition
•     Fine-grained dietary monitoring and nutrition assessment

We welcome original research that presents novel applications, innovative algorithms, or critical analyses addressing these challenges. Submissions focusing exclusively on algorithm development without application to food data are better suited for the main CVPR conference.

Join us at the MetaFood Workshop to explore how computer vision can revolutionize food understanding and contribute to solving real-world challenges in food computing.
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Important Dates:

•     Paper submission deadline: 4th March 2025 (11:59 pm AOE)
•     Supplementary material deadline: 6th March 2025 (11:59 pm AOE)
•     Notification to authors: 1st April 2025
•     Camera-ready deadline: 7th April 2025 (11:59 pm AOE)

Website: https://sites.google.com/view/cvpr-metafood-2025/

We look forward to your contributions.

Regards,
Second MetaFood Workshop – Organizing Team