7 citations · 14 across the 7 of their papers we have counts for
7 papers
Evaluating the Feasibility of Inferring Dietary Behavior Change Receptivity from Egocentric Images of Eating Environment
Long Li, Yuning Huang, Heather A. Eicher-Miller +3
Accurately assessing dietary behavior change receptivity is essential for designing effective just-in-time adaptive interventions (JITAIs) that promote healthier eating habits. How…
Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks
Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller +3
The potential of using Large Language Models (LLMs) themselves to evaluate LLM outputs offers a promising method for assessing model performance across various contexts. Previous r…
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor
Yuning Huang, Mohamed Abul Hassan, Jiangpeng He +6
Detecting an ingestion environment is an important aspect of monitoring dietary intake. It provides insightful information for dietary assessment. However, it is a challenging prob…
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: (…
Long-tailed Food Classification
Jiangpeng He, Luotao Lin, Heather Eicher-Miller +1
Food classification serves as the basic step of image-based dietary assessment to predict the types of foods in each input image. However, food image predictions in a real world sc…
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…
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…