A survey on food computing

W Min, S Jiang, L Liu, Y Rui, R Jain - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

Learning cross-modal embeddings for cooking recipes and food images

A Salvador, N Hynes, Y Aytar, J Marin… - Proceedings of the …, 2017 - openaccess.thecvf.com
In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m
cooking recipes and 800k food images. As the largest publicly available collection of recipe …

Large scale visual food recognition

W Min, Z Wang, Y Liu, M Luo, L Kang… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Food recognition plays an important role in food choice and intake, which is essential to the
health and well‐being of humans. It is thus of importance to the computer vision community …

[HTML][HTML] A review on food recognition technology for health applications

D Allegra, S Battiato, A Ortis, S Urso… - Health psychology …, 2020 - ncbi.nlm.nih.gov
Food understanding from digital media has become a challenge with important applications
in many different domains. On the other hand, food is a crucial part of human life since the …

Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network

W Min, L Liu, Z Wang, Z Luo, X Wei, X Wei… - Proceedings of the 28th …, 2020 - dl.acm.org
Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …

Multi-scale multi-view deep feature aggregation for food recognition

S Jiang, W Min, L Liu, Z Luo - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
Recently, food recognition has received more and more attention in image processing and
computer vision for its great potential applications in human health. Most of the existing …

Inverse cooking: Recipe generation from food images

A Salvador, M Drozdzal… - Proceedings of the …, 2019 - openaccess.thecvf.com
People enjoy food photography because they appreciate food. Behind each meal there is a
story described in a complex recipe and, unfortunately, by simply looking at a food image we …

Food recommendation: Framework, existing solutions, and challenges

W Min, S Jiang, R Jain - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
A growing proportion of the global population is becoming overweight or obese, leading to
various diseases (eg, diabetes, ischemic heart disease and even cancer) due to unhealthy …

A large-scale benchmark for food image segmentation

X Wu, X Fu, Y Liu, EP Lim, SCH Hoi… - Proceedings of the 29th …, 2021 - dl.acm.org
Food image segmentation is a critical and indispensible task for develo** health-related
applications such as estimating food calories and nutrients. Existing food image …

A study of multi-task and region-wise deep learning for food ingredient recognition

J Chen, B Zhu, CW Ngo, TS Chua… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Food recognition has captured numerous research attention for its importance for health-
related applications. The existing approaches mostly focus on the categorization of food …