92 citations · 244 across the 30 of their papers we have counts for
29 papers · 1 filter
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…
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He, Xiaoyan Zhang, Luotao Lin +3
Deep learning-based food recognition has made significant progress in predicting food types from eating occasion images. However, two key challenges hinder real-world deployment: (…
Single-Stage Heavy-Tailed Food Classification
Jiangpeng He, Fengqing Zhu
Deep learning based food image classification has enabled more accurate nutrition content analysis for image-based dietary assessment by predicting the types of food in eating occa…
Self-Supervised Visual Representation Learning on Food Images
Andrew Peng, Jiangpeng He, Fengqing Zhu
Food image analysis is the groundwork for image-based dietary assessment, which is the process of monitoring what kinds of food and how much energy is consumed using captured food…
Conditional Synthetic Food Image Generation
Wenjin Fu, Yue Han, Jiangpeng He +3
Generative Adversarial Networks (GAN) have been widely investigated for image synthesis based on their powerful representation learning ability. In this work, we explore the StyleG…
Improving Food Detection For Images From a Wearable Egocentric Camera
Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh +3
Diet is an important aspect of our health. Good dietary habits can contribute to the prevention of many diseases and improve the overall quality of life. To better understand the r…