20 citations · 37 across the 12 of their papers we have counts for
6 papers · 1 filter
Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames
Ning Han, Xun Yang, Ee-Peng Lim +2
Cross-modal video retrieval aims to retrieve the semantically relevant videos given a text as a query, and is one of the fundamental tasks in Multimedia. Most of top-performing met…
A Large-Scale Benchmark for Food Image Segmentation
Xiongwei Wu, Xin Fu, Ying Liu +3
Food image segmentation is a critical and indispensible task for developing health-related applications such as estimating food calories and nutrients. Existing food image segmenta…
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…
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding
Zhe Liu, Xianzhi Wang, Lina Yao +3
Predicting consumers' purchasing behaviors is critical for targeted advertisement and sales promotion in e-commerce. Human faces are an invaluable source of information for gaining…
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…
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
Hao Wang, Doyen Sahoo, Chenghao Liu +2
Food computing is playing an increasingly important role in human daily life, and has found tremendous applications in guiding human behavior towards smart food consumption and hea…