18 citations · 50 across the 4 of their papers we have counts for
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Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition
Sergio Romero-Tapiador, Ruben Tolosana, Blanca Lacruz-Pleguezuelos +7
Automatic dietary assessment based on food images remains a challenge, requiring precise food detection, segmentation, and classification. Vision-Language Models (VLMs) offer new p…
AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours
Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales +7
Nowadays millions of images are shared on social media and web platforms. In particular, many of them are food images taken from a smartphone over time, providing information relat…
Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales +7
Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits. To address this issue, both national and internationa…