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 …

Extrinsic auditory contributions to food perception & consumer behaviour: An interdisciplinary review

C Spence, F Reinoso-Carvalho, C Velasco… - Multisensory research, 2019 - brill.com
Food product-extrinsic sounds (ie, those auditory stimuli that are not linked directly to a food
or beverage product, or its packaging) have been shown to exert a significant influence over …

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 …

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 …

Learning cross-modal embeddings with adversarial networks for cooking recipes and food images

H Wang, D Sahoo, C Liu, E Lim… - Proceedings of the …, 2019 - openaccess.thecvf.com
Food computing is playing an increasingly important role in human daily life, and has found
tremendous applications in guiding human behavior towards smart food consumption and …

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 …

Revamping cross-modal recipe retrieval with hierarchical transformers and self-supervised learning

A Salvador, E Gundogdu, L Bazzani… - Proceedings of the …, 2021 - openaccess.thecvf.com
Cross-modal recipe retrieval has recently gained substantial attention due to the importance
of food in people's lives, as well as the availability of vast amounts of digital cooking recipes …

Market2Dish: health-aware food recommendation

W Wang, LY Duan, H Jiang, P Jing, X Song… - ACM Transactions on …, 2021 - dl.acm.org
With the rising incidence of some diseases, such as obesity and diabetes, the healthy diet is
arousing increasing attention. However, most existing food-related research efforts focus on …

How much and when do we need higher-order information in hypergraphs? a case study on hyperedge prediction

S Yoon, H Song, K Shin, Y Yi - Proceedings of The Web Conference …, 2020 - dl.acm.org
Hypergraphs provide a natural way of representing group relations, whose complexity
motivates an extensive array of prior work to adopt some form of abstraction and …

FoodAI: Food image recognition via deep learning for smart food logging

D Sahoo, W Hao, S Ke, W Xiongwei, H Le… - Proceedings of the 25th …, 2019 - dl.acm.org
An important aspect of health monitoring is effective logging of food consumption. This can
help management of diet-related diseases like obesity, diabetes, and even cardiovascular …