40 citations · 91 across the 24 of their papers we have counts for
33 papers
Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems
Md Adnan Faisal Hossain, Zhihao Duan, Yuning Huang +1
Feature compression is a promising direction for coding for machines. Existing methods have made substantial progress, but they require designing and training separate neural netwo…
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…
A Visual Quality Assessment Method for Raster Images in Scanned Document
Justin Yang, Peter Bauer, Todd Harris +4
Image quality assessment (IQA) is an active research area in the field of image processing. Most prior works focus on visual quality of natural images captured by cameras. In this…
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…
Efficient Feature Compression for Edge-Cloud Systems
Zhihao Duan, Fengqing Zhu
Optimizing computation in an edge-cloud system is an important yet challenging problem. In this paper, we consider a three-way trade-off between bit rate, classification accuracy,…