20 citations · 42 across the 13 of their papers we have counts for
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Food Portion Estimation via 3D Object Scaling
Gautham Vinod, Jiangpeng He, Zeman Shao +1
Image-based methods to analyze food images have alleviated the user burden and biases associated with traditional methods. However, accurate portion estimation remains a major chal…
Anything in Any Scene: Photorealistic Video Object Insertion
Chen Bai, Zeman Shao, Guoxiang Zhang +11
Realistic video simulation has shown significant potential across diverse applications, from virtual reality to film production. This is particularly true for scenarios where captu…
An End-to-end Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image
Zeman Shao, Gautham Vinod, Jiangpeng He +1
Dietary assessment is a key contributor to monitoring health status. Existing self-report methods are tedious and time-consuming with substantial biases and errors. Image-based foo…
Image Based Food Energy Estimation With Depth Domain Adaptation
Gautham Vinod, Zeman Shao, Fengqing Zhu
Assessment of dietary intake has primarily relied on self-report instruments, which are prone to measurement errors. Dietary assessment methods have increasingly incorporated techn…
Towards the Creation of a Nutrition and Food Group Based Image Database
Zeman Shao, Jiangpeng He, Ya-Yuan Yu +4
Food classification is critical to the analysis of nutrients comprising foods reported in dietary assessment. Advances in mobile and wearable sensors, combined with new image based…
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…
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…
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…