未分類

MA ZHEAN
(Excellent Presentation Award for Master’s Thesis)

Hangzhou Dianzi University・6th Dual Degrees’ Closing Ceremony

Paper Presentation

• Personalized Image Preference Assessment for Individuals with Color Vision Deficiency
  Ligeng Chen, Zhenyang Zhu, Xiaodiao Chen, Kentaro Go and Xiaoyang Mao

Conference Homepage

• NICOGRAPH International 2025

Photograph

Hello,

Welcome to download our Tsubura app! Please use the following links and QR codes:

https://forms.gle/xv9F7yxb6qMtzY2n9

Thank you for your interest in our app.

(2025.06.05)

Rui He, Zhenyang Zhu, Xiaoyang Mao, “Boosting Lightweight Single Image Super-Resolution via Global Prior Feature
Reference,” Neural Networks, Elsevier, Vol. 190, 2025-10. (IF:6.0(2023))

(2025年5月22日)

Paper Link／PDF (Open Access)

• Size and Weight Estimation of Konjac with Occlusion Classification and Deep Learning
  Kabin Tok-In, Prawit Buayai, Xiaoyang Mao
  (Link|PDF)

Journal HP

• Measurement (IF: 5.2 (2024))

(2025年5月2日)

Paper Link／PDF (Open Access)

• Feature-Adaptive Anomaly Detection Model for Onion Inspection System
  Ziwei Song, Prawit Buayai, Kohi Makino, Xiaoyang Mao
  (Link|PDF)

Journal HP

• Smart Agricultural Technology(IF:6.3(2023))

(March 7th, 2025)

Article Links/PDFs (Open Access)

• Mandarin count estimation with 360-degree tree video and transformer-based deep learning
  Daisuke Isobe, Prawit Buayai, Xiaoyang Mao
  (Link|PDF)

Journal Homepage

• Smart Agricultural Technology(IF:6.3(2023))

Left: Professor Mao, Right: GE CHAO (PhD)

Left: Professor Mao, Right: TAN YIN SUAN (Master)

ZHANG CHENMING
(Excellent Presentation Award for Master’s Thesis)

Sorry, this entry is only available in 日本語.

NHK NEWS WEB

日テレ NEWS NNN

山梨日日新聞 (会員登録必要)

(June 2nd, 2024)

Article Links/PDFs (Open Access)

• Fast image recoloring for red–green anomalous trichromacy with contrast enhancement and naturalness preservation
  Haiqiang Zhou, Wangkang Huang, Zhenyang Zhu, Xiaodiao Chen, Kentaro Go, Xiaoyang Mao
  (Link|PDF)
• Personalized hairstyle and hair color editing based on multi-feature fusion
  Jiayi Xu, Chenming Zhang, Weikang Zhu, Hongbin Zhang, Li Li, Xiaoyang Mao
  (Link|PDF)

Conference Homepage

• Computer Graphics International 2024

(2024.01.18)

Ligeng Chen, Zhenyang Zhu, Wangkang Huang, Kentaro Go, Xiaodiao Chen, Xiaoyang Mao, “Image recoloring for color vision deficiency compensation using Swin transformer,” Neural Computing and Applications, Springer, 2024-1. (IF:6.0(2022))

(2024.01.17)
GE Chao: FoV inspection using VR
JU Yixuan: Face editing using deep learning
Song Ziwei: Anomaly detection for onion using deep learning
ISHIKAWA Naohiko: Image editing for perceptual size restoration
TAMURA Shun: AR and deep learning for grape thinning support
YU Jun Wei: Color communication support for color vision deficiency compensation

Our research team is pleased to announce that our manuscript titled “3D Grape Bunch Model Reconstruction from 2D Images” has been accepted for publication in the journal Computers and Electronics in Agriculture.

This paper, authored by Yan San Woo, Zhuguang Li, Shun Tamura, Prawit Buayai, Hiromitsu Nishizaki, Koji Makino, Latifah Munirah Kamarudin, and Xiaoyang Mao, introduces a pioneering technology for reconstructing a 3D model of a grape bunch, with each berry uniquely identified, using 2D images captured in real grape field conditions. The development of this technology is set to reshape the grape cultivation landscape. By providing an accurate 3D model of grape bunches, it offers an innovative approach to automate berry counting and identification, enhancing the efficiency of the thinning process. This technology is particularly significant in the agriculture industry, where precision and automation are becoming increasingly vital.

This accomplishment underscores our commitment to advancing agricultural technology and contributing valuable insights to the industry. We extend our gratitude to our co-authors, contributors, and readers for their constant support.

The full paper can be accessed here.