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 …

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 …

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 developing health-related
applications such as estimating food calories and nutrients. Existing food image …

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 …

[HTML][HTML] An AI dietitian for type 2 diabetes mellitus management based on large language and image recognition models: preclinical concept validation study

H Sun, K Zhang, W Lan, Q Gu, G Jiang, X Yang… - Journal of Medical …, 2023 - jmir.org
Background Nutritional management for patients with diabetes in China is a significant
challenge due to the low supply of registered clinical dietitians. To address this, an artificial …

CookGAN: Causality based text-to-image synthesis

B Zhu, CW Ngo - Proceedings of the IEEE/CVF Conference …, 2020 - openaccess.thecvf.com
This paper addresses the problem of text-to-image synthesis from a new perspective, ie, the
cause-and-effect chain in image generation. Causality is a common phenomenon in …

Visual clues: Bridging vision and language foundations for image paragraph captioning

Y Xie, L Zhou, X Dai, L Yuan, N Bach… - Advances in Neural …, 2022 - proceedings.neurips.cc
People say," A picture is worth a thousand words". Then how can we get the rich information
out of the image? We argue that by using visual clues to bridge large pretrained vision …

A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment

GA Tahir, CK Loo - Healthcare, 2021 - mdpi.com
Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …

Learning program representations for food images and cooking recipes

DP Papadopoulos, E Mora… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we are interested in modeling a how-to instructional procedure, such as a
cooking recipe, with a meaningful and rich high-level representation. Specifically, we …