1 citations · 1 across the 1 of their papers we have counts for
8 papers
Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN
V N S Rama Krishna Pinnimty, Matt Zhao, Palakorn Achananuparp +1
We present an invert-and-edit framework to automatically transform facial weight of an input face image to look thinner or heavier by leveraging semantic facial attributes encoded…
Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot
Philips Kokoh Prasetyo, Palakorn Achananuparp, Ee-Peng Lim
Recent research has identified a few design flaws in popular mobile health (mHealth) applications for promoting healthy eating lifestyle, such as mobile food journals. These includ…
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System
Helena H. Lee, Ke Shu, Palakorn Achananuparp +4
Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT…
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging
Doyen Sahoo, Wang Hao, Shu Ke +5
An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular…
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning
Helena Lee, Palakorn Achananuparp, Yue Liu +2
Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of…
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions
Yue Liu, Helena Lee, Palakorn Achananuparp +3
Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several days and occasionally switch to consuming diffe…