Rchr
J-GLOBAL ID:201101048540154790   Update date: Sep. 26, 2024

Takimoto Hironori

タキモト ヒロノリ | Takimoto Hironori
Affiliation and department:
Homepage URL  (1): http://www-mcs.c.oka-pu.ac.jp/takimoto/index.html
Research field  (4): Soft computing ,  Sensitivity (kansei) informatics ,  Intelligent robotics ,  Perceptual information processing
Research keywords  (8): 深層学習 ,  感性情報処理 ,  知覚情報処理 ,  画像処理 ,  視覚的顕著性 ,  色覚特性 ,  人物属性推定 ,  視線誘導
Research theme for competitive and other funds  (10):
  • 2021 - 2024 高齢者の視覚探索プロセスの解明:VR空間における色情報の操作による検討
  • 2021 - 2024 深層学習に基づく写真の審美的品質評価に関する暗黙知の表出化
  • 2019 - 2023 超高齢社会に対応した触知性を組み込み可能にするユニバーサル・ピクトグラムの開発
  • 2018 - 2021 Visual Attention Estimation and Attention Retargeting for First Person Vision
  • 2017 - 2020 被介護者の異常検知と連動した多目的介護スケジューリングシステムの確立
Show all
Papers (58):
  • Daichi Sakaguchi, Hironori Takimoto, Akihiro Kanagawa. Study on relationship between composition and prediction of photo aesthetics using CNN. Cogent Engineering. 2022. 9. 1
  • Hironori Takimoto, Junya Seki, Sulfayanti F. Situju, Akihiro Kanagawa. Anomaly Detection Using Siamese Network with Attention Mechanism for Few-Shot Learning. Applied Artificial Intelligence. 2022. 36. 1
  • Yuko Kurita, Hironori Takimoto, Mari Kamitani, Yoichi Hashida, Makoto Kashima, Ayumi Tezuka, Takanari Tanabata, Atsushi J Nagano. Artificial mimicry of seasonal transcriptome dynamics in Arabidopsis thaliana reveals short- and long-term responses to environmental conditions. 2021
  • Hironori Takimoto, Yasuhiro Sato, Atsushi J. Nagano, Kentaro K. Shimizu, Akihiro Kanagawa. Using a two-stage convolutional neural network to rapidly identify tiny herbivorous beetles in the field. Ecological Informatics. 2021. 66. 101466-101466
  • Hironori Takimoto, Fumiya Omori, Akihiro Kanagawa. Image Aesthetics Assessment Based on Multi-stream CNN Architecture and Saliency Features. Applied Artificial Intelligence. 2021. 35. 1. 25-40
more...
MISC (149):
  • 滝本裕則, 関淳椰, 金川明弘. Anomaly Detection using Siamese Network with Attention Mechanism. 画像ラボ. 2023. 34. 9
  • 増田晴斗, 金川明弘, 滝本裕則. Resilient Nurse Scheduling Problems using CGA. 日本福祉工学会学術講演会講演論文集. 2023. 27th
  • 坂口太一, 滝本裕則, 金川明弘. Aesthetic Quality Estimation of Photographs based on Attention Branch Network and Multi-patch. 電気学会電子・情報・システム部門大会(Web). 2023. 2023
  • 長崎夏弦, 金川明弘, 滝本裕則. 分割凹包ヒューリスティクスを用いた複数巡回セールスマン問題の一解法. 日本経営工学会秋季大会予稿集(Web). 2023. 2023
  • 澤田陽一, 上田篤嗣, 滝本裕則. Gender-specific features of the optimal size for tactile pictograms to help the visually impaired move. 岡山県立大学保健福祉学部紀要. 2022. 28. 69-77
more...
Patents (2):
Education (4):
  • 2004 - 2007 The University of Tokushima Graduate School of Engineering
  • 2002 - 2004 The University of Tokushima Graduate School of Engineering
  • 2000 - 2002 The University of Tokushima Faculty of Engineering
  • 1995 - 2000 国立詫間電波工業高等専門学校 情報工学科
Professional career (1):
  • 博士(工学)
Work history (6):
  • 2024/04 - 現在 Okayama Prefectural University Computer Science and Systems Engineering Department of Communication Engineering
  • 2018/09 - 2024/03 Okayama Prefectural University
  • 2009/10 - 2018/08 Okayama Prefectural University Computer Science and Systems Engineering Department of Communication Engineering
  • 2009/04 - 2009/09 National Institute of Technology, Sasebo College Department of Control Engineering
  • 2007/04 - 2009/03 National Institute of Technology, Sasebo College Department of Control Engineering
Show all
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page