Learning recipe and food image representation in common embedding space is non-trivial
but crucial for cross-modal recipe retrieval. In this paper, we propose a new perspective for …

In the rapidly evolving landscape of online recipe sharing within a globalized context, there
has been a notable surge in research towards comprehending and generating food recipes …

State-of-the-art methods for cross-modal recipe retrieval failed to consider an underlying but
challenging issue, ie, matching imperfectly problem hidden in positive image-recipe pairs …

As a prominent topic in food computing, cross-modal recipe retrieval has garnered
substantial attention. However, the semantic alignment across food images and recipes …

In this paper, we address the challenge of recipe personalization through ingredient
substitution. We make use of Large Language Models (LLMs) to build an ingredient …

Cross-modal recipe retrieval, which is a system for finding cooking recipes based on a user-
submitted food image or finding food pictures based on recipes, has garnered significant …