29 citations
4 papers
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…
Learning eating environments through scene clustering
Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera +3
It is well known that dietary habits have a significant influence on health. While many studies have been conducted to understand this relationship, little is known about the relat…
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…
Application of new probabilistic graphical models in the genetic regulatory networks studies
Junbai Wang, Leo Wang-Kit Cheung, Jan Delabie
This paper introduces two new probabilistic graphical models for reconstruction of genetic regulatory networks using DNA microarray data. One is an Independence Graph (IG) model wi…