5 citations · 9 across the 6 of their papers we have counts for
9 papers
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…
Improving Dietary Assessment Via Integrated Hierarchy Food Classification
Runyu Mao, Jiangpeng He, Luotao Lin +3
Image-based dietary assessment refers to the process of determining what someone eats and how much energy and nutrients are consumed from visual data. Food classification is the fi…
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…
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…
Visual Aware Hierarchy Based Food Recognition
Runyu Mao, Jiangpeng He, Zeman Shao +2
Food recognition is one of the most important components in image-based dietary assessment. However, due to the different complexity level of food images and inter-class similarity…
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation
Jiangpeng He, Zeman Shao, Janine Wright +3
Deep learning based methods have achieved impressive results in many applications for image-based diet assessment such as food classification and food portion size estimation. Howe…