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 …

[HTML][HTML] A systematic review on food recommender systems

JN Bondevik, KE Bennin, Ö Babur, C Ersch - Expert Systems with …, 2024 - Elsevier
The Internet has revolutionised the way information is retrieved, and the increase in the
number of users has resulted in a surge in the volume and heterogeneity of available data …

A novel time-aware food recommender-system based on deep learning and graph clustering

M Rostami, M Oussalah, V Farrahi - IEEE Access, 2022 - ieeexplore.ieee.org
Food recommender-systems are considered an effective tool to help users adjust their
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …

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 …

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 …

Neural multimodal cooperative learning toward micro-video understanding

Y Wei, X Wang, W Guan, L Nie, Z Lin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The prevailing characteristics of micro-videos result in the less descriptive power of each
modality. The micro-video representations, several pioneer efforts proposed, are limited in …

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 …

R2gan: Cross-modal recipe retrieval with generative adversarial network

B Zhu, CW Ngo, J Chen, Y Hao - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Representing procedure text such as recipe for crossmodal retrieval is inherently a difficult
problem, not mentioning to generate image from recipe for visualization. This paper studies …