Ligeng Chen, Zhenyang Zhu, Kentaro Go, Wangkang Huang, Xiaoyang Mao, “Swin Transformerを利用した色覚障がい支援用色変換手法”, Visual Computing シンポジウム, Article 41, 2022-10.
石川 直彦, 朱 臻陽, 茅 暁陽, “知覚サイズを反映した写真生成のための画像自動部分拡大方法”, Visual Computing シンポジウム, Article 42, 2022-10.
未分類
A study on intellectual disability compensation presented by Kaishi Naito at International Conference Cyberworlds
Kaishi Naito, Daisuke Inoue, Prawit Buayai, and Xiaoyang Mao, “A Pilot Study on the AR Interface Design for People with Intellectual Disabilities”, Cyberworlds, 2022. Cyberworlds 2022
AIによるぶどう栽培支援に関する研究が「戦略的スマート農業技術等の開発・改良事業」に採択されました
戦略的スマート農業技術等の開発・改良事業「AI 駆動型栽培体系：人間とロボットの協働によるシャインマスカット栽培の高効率・高品質化」のキックオフミーティングを開催！
令和4年7月6日（水）、甲府キャンパスにおいて、戦略的スマート農業技術等の開発・改良事業「AI 駆動型栽培体系：人間とロボットの協働によるシャインマスカット栽培の高効率・高品質化」のキックオフミーティングを開催しました。[詳細]
(日本語) 生命環境学部地域食物科学科1年生が「スマートグラスによる摘粒支援」を体験！
Sorry, this entry is only available in 日本語.
Implementation of Automatic Berry Counting AI for Optimization for Berry Thinning on Smart Phone
The research group led by Professor Xiaoyang Mao at department of computer science and engineering, faculty of engineering, University of Yamanashi, developed new a berry counting AI technique for berry thinning, which can be executed on smart phone in real-time. [More]
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Paper on Recoloring for Color Vision Compensation Accepted by the 2022 International Conference on Computer Graphics International (CGI2022)
Research paper, entitled “Image Recoloring for Red-Green Dichromats with Compensation Range based Naturalness Preservation and Refined Dichromacy Gamut”, was accepted by Computer Graphics International 2022 (CGI2022) (accepted paper will be published on the international journal The Visual Computer (IF: 2.601(2022)))
Shota Chiba receives Student Encouragement Award at IPSJ 83rd National Convention
Shota Chi, a fourth-year bachelor’s student at the Professor Mao Laboratory at the University of Yamanashi, received the Student Encouragement Award at the 84rd IPSJ National Convention for his research “Automatic Prediction for Meat Cooking using Deep Learning.”
Acceptance of FY2022 Hiroshima Smart Agriculture Promotion Project
Following the study on grape, we will conduct empirical research on Lemon Cultivation using Artificial Intelligence (AI) and Augmented-Reality (AR) techniques.
Study on Computational Glasses received Grant-in-Aid for Scientific Research (A)
We will continuously engage in study on compensation for people with color vision deficiency based on the latest techniques of Deep Learning (DL) and Augmented-Reality (AR).
DNN-based Meter Automatic Reading Paper Accepted by IEEE Access
Paper “Generative Data Augmentation for Automatic Meter Reading Using CNNs” has been accepted by IEEE Access journal (IF: 3.367(2020)).
The Japan Times and several other newspapers reported our smart agriculture project
The Japan Times, November 8, 2021
“A research team in the faulty of engineering at the University of Yamanashi, headed by professor Xiaoyang, developed a device that can perform so-called berry thinning in which clusters of grapes are removed to allow space for those that remain to grow larger”
Nishinippon Shimbun (西日本新聞), November 18, 2021
Hokkaido Shimbun (北海道新聞), November 18, 2021
The Japan Agriculture News, September 17, 2021
National Agricultural News, September 17, 2021
It is difficult for beginners to thin a grapes as well as skilled farmers because of the experience and training are required. The development of “smart glasses” that transform beginners into skilled farmers is progressing.
National Agricultural News, September 11, 2021
