5 citations · 12 across the 6 of their papers we have counts for
4 papers · 1 filter
An Integrated System for Mobile Image-Based Dietary Assessment
Zeman Shao, Yue Han, Jiangpeng He +5
Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as…
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation
Zeman Shao, Shaobo Fang, Runyu Mao +5
We aim to estimate food portion size, a property that is strongly related to the presence of food object in 3D space, from single monocular images under real life setting. Specific…
Saliency-Aware Class-Agnostic Food Image Segmentation
Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Guerra +3
Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed…
An End-to-End Food Image Analysis System
Jiangpeng He, Runyu Mao, Zeman Shao +4
Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types…