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20212023
most citedImage Based Food Energy Estimation With Depth Domain Adaptation

20 citations · 50 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023

An Improved Encoder-Decoder Framework for Food Energy Estimation

Jack Ma, Jiangpeng He, Fengqing Zhu

Dietary assessment is essential to maintaining a healthy lifestyle. Automatic image-based dietary assessment is a growing field of research due to the increasing prevalence of imag…

cs.CV2023

Personalized Food Image Classification: Benchmark Datasets and New Baseline

Xinyue Pan, Jiangpeng He, Fengqing Zhu

Food image classification is a fundamental step of image-based dietary assessment, enabling automated nutrient analysis from food images. Many current methods employ deep neural ne…

eess.IV2023

An Improved Upper Bound on the Rate-Distortion Function of Images

Zhihao Duan, Jack Ma, Jiangpeng He +1

Recent work has shown that Variational Autoencoders (VAEs) can be used to upper-bound the information rate-distortion (R-D) function of images, i.e., the fundamental limit of lossy…

cs.CV2023★ 11 cited

Muti-Stage Hierarchical Food Classification

Xinyue Pan, Jiangpeng He, Fengqing Zhu

Food image classification serves as a fundamental and critical step in image-based dietary assessment, facilitating nutrient intake analysis from captured food images. However, exi…

cs.CV2023★ 18 cited

Diffusion Model with Clustering-based Conditioning for Food Image Generation

Yue Han, Jiangpeng He, Mridul Gupta +2

Image-based dietary assessment serves as an efficient and accurate solution for recording and analyzing nutrition intake using eating occasion images as input. Deep learning-based…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 20 cited

Image Based Food Energy Estimation With Depth Domain Adaptation

Gautham Vinod, Zeman Shao, Fengqing Zhu

Assessment of dietary intake has primarily relied on self-report instruments, which are prone to measurement errors. Dietary assessment methods have increasingly incorporated techn…

cs.CV2022

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…

cs.CV2021

An Integrated System for Mobile Image-Based Dietary Assessment

Zeman Shao, Yue Han, Jiangpeng He +5

Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as…