A survey on food computing
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 …
study may support multifarious applications and services, such as guiding human behavior …
[HTML][HTML] A systematic review on food recommender systems
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 …
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
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 …
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …
Large scale visual food recognition
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 …
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
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 …
various real-world applications, such as diet management and self-service restaurants. A …
Neural multimodal cooperative learning toward micro-video understanding
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 …
modality. The micro-video representations, several pioneer efforts proposed, are limited in …
Multi-scale multi-view deep feature aggregation for food recognition
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 …
computer vision for its great potential applications in human health. Most of the existing …
Inverse cooking: Recipe generation from food images
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 …
story described in a complex recipe and, unfortunately, by simply looking at a food image we …
Food recommendation: Framework, existing solutions, and challenges
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 …
various diseases (eg, diabetes, ischemic heart disease and even cancer) due to unhealthy …
R2gan: Cross-modal recipe retrieval with generative adversarial network
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 …
problem, not mentioning to generate image from recipe for visualization. This paper studies …