10 citations · 16 across the 9 of their papers we have counts for
10 papers
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching
Runyu Mao, Chen Bai, Yatong An +2
We tackle the essential task of finding dense visual correspondences between a pair of images. This is a challenging problem due to various factors such as poor texture, repetitive…
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…
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection
Runyu Mao, Mackenzie Tweardy, Stephan W. Wegerich +3
Photoplethysmography (PPG) is a non-invasive and economical technique to extract vital signs of the human body. Although it has been widely used in consumer and research grade wris…
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…
Incremental Learning In Online Scenario
Jiangpeng He, Runyu Mao, Zeman Shao +1
Modern deep learning approaches have achieved great success in many vision applications by training a model using all available task-specific data. However, there are two major obs…
Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
Zeman Shao, Runyu Mao, Fengqing Zhu
Assessing dietary intake accurately remains an open and challenging research problem. In recent years, image-based approaches have been developed to automatically estimate food int…
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
Shaobo Fang, Zeman Shao, Runyu Mao +5
Due to the growing concern of chronic diseases and other health problems related to diet, there is a need to develop accurate methods to estimate an individual's food and energy in…