3 papers
cs.CV2026
Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrieval
Qing Wang, Chong-Wah Ngo, Ee-Peng Lim
This paper addresses the challenges of learning representations for recipes and food images in the cross-modal retrieval problem. As the relationship between a recipe and its cooke…
cs.CV2025
LLMs-based Augmentation for Domain Adaptation in Long-tailed Food Datasets
Qing Wang, Chong-Wah Ngo, Ee-Peng Lim +1
Training a model for food recognition is challenging because the training samples, which are typically crawled from the Internet, are visually different from the pictures captured…
cs.CV2025
Mitigating Cross-modal Representation Bias for Multicultural Image-to-Recipe Retrieval
Qing Wang, Chong-Wah Ngo, Yu Cao +1
Existing approaches for image-to-recipe retrieval have the implicit assumption that a food image can fully capture the details textually documented in its recipe. However, a food i…