Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Huafei Ma

Biographic Data

ID8968917
NAMEHuafei Ma
GIVEN NAMESHuafei
FAMILY NAMEMa
SIGNATUREMA H
AFFILIATIONSNaresuan University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Fine-Grained Visual Art Analysis via Yolov9 and K-Means

    Open Access•Huafei Ma, Tatiya Theppituck•ARTICLE•ShodhKosh: Journal of Visual and…•2026

    Using the most recent YOLOv9 model and optimized K-means clustering for adaptive feature extraction and objective classification, this research suggests a universal framework for fine-grained visual art analysis. With an emphasis on eliminating subjectivity in conventional visual art analysis, the framework converts qualitative artistic qualities into quantifiable parameters by quantifying 12 fundamental morphological features, such as line curva…

No prominent works on this page.

  • Fine-Grained Visual Art Analysis via Yolov9 and K-Means

    Open Access•Huafei Ma, Tatiya Theppituck•ARTICLE•ShodhKosh: Journal of Visual and…•2026

    Using the most recent YOLOv9 model and optimized K-means clustering for adaptive feature extraction and objective classification, this research suggests a universal framework for fine-grained visual art analysis. With an emphasis on eliminating subjectivity in conventional visual art analysis, the framework converts qualitative artistic qualities into quantifiable parameters by quantifying 12 fundamental morphological features, such as line curva…

Aesthetic Perception and Analysis (1 work) · Art History and Market Analysis (1 work) · Cluster analysis (1 work) · Feature extraction (1 work) · Generative Adversarial Networks and Image Synthesis (1 work) · Painting (1 work) · Silhouette (1 work) · Visualization (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae