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Zeman Shao

14 papers hereh-index 12650 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author9

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedImage Based Food Energy Estimation With Depth Domain Adaptation

20 citations · 42 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

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…

cs.CV2021

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…

cs.CV2021★ 3 cited

Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation

Zeman Shao, Shaobo Fang, Runyu Mao +5

We aim to estimate food portion size, a property that is strongly related to the presence of food object in 3D space, from single monocular images under real life setting. Specific…

cs.CV2021★ 1 cited

An End-to-End Food Image Analysis System

Jiangpeng He, Runyu Mao, Zeman Shao +4

Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types…

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