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J-GLOBAL ID:201301083785167523   Update date: Jan. 04, 2025

Ogawa Takahiro

オガワ タカヒロ | Ogawa Takahiro
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Affiliation and department:
Job title: Professor
Homepage URL  (1): http://kaken.nii.ac.jp/d/r/20524028.ja.html
Research field  (2): Human interfaces and interactions ,  Database science
Research keywords  (36): image generation ,  action analysis ,  multi-spectrum analysis ,  machine learning ,  deep learning ,  CT ,  PET ,  X-ray image ,  SNS ,  electron microscope ,  signal processing ,  image processing ,  visualization ,  NIRS ,  MRI ,  multimedia processing ,  sports video ,  infrastructure ,  satellite image ,  EEG ,  medical image ,  multivariate analysis ,  image coding ,  super-resolution ,  Web mining ,  big data ,  IoT ,  AI ,  image quality assessment ,  image restoration ,  image reconstruction ,  text processing ,  information retrieval ,  music ,  image retrieval ,  semantic analysis
Research theme for competitive and other funds  (18):
  • 2024 - 2028 生成AIとの融合により潜在的嗜好を把握可能とするユーザ中心推薦技術の構築
  • 2021 - 2026 General-purpose deep learning theory for ultra-low computational complexity and low capacity in the age of edge AI
  • 2021 - 2026 General-purpose deep learning theory for ultra-low computational complexity and low capacity in the age of edge AI
  • 2022 - 2025 国立研究開発法人日本医療研究開発機構(AMED)・医療機器等研究成果展開事業
  • 2020 - 2024 Interdisciplinary fusion research for precision medicine in heart failure patients with preserved ejection fraction
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Papers (504):
  • Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama. Graph Convolutional Network-based Sports Skill-level Recognition via Deep Metric Learning. 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC). 2024. 15. 1-4
  • Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama. Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions. Sensors. 2024. 24. 11. 3440-3440
  • Keisuke Maeda, Takahiro Ogawa, Tasuku Kayama, Takuya Sasaki, Kazuki Tainaka, Masaaki Murakami, Miki Haseyama. Trial Analysis of Brain Activity Information for the Presymptomatic Disease Detection of Rheumatoid Arthritis. Bioengineering (Basel, Switzerland). 2024. 11. 6
  • Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama. Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism. Sensors. 2024. 24. 10. 3033-3033
  • Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama. Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management. Sensors. 2024. 24. 10. 3087-3087
more...
MISC (761):
  • 清野竜生, 斉藤直輝, 小川貴弘, 浅水仁, 長谷山美紀. A Note on Classification of Expert-novice Level Using Motion and Gaze Data via Spatial Temporal Attention GCN. 人工知能学会全国大会論文集(Web). 2024. 38th
  • 五箇亮太, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀. Estimation of contact accident risk based on recurrent neural network introducing spatial-temporal attention. AI・データサイエンス論文集(Web). 2024. 5. 1
  • 大羽賀駿也, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀. Zero-shot high-risk situation detection based on object detection and pose estimation using fixed camera at construction site. AI・データサイエンス論文集(Web). 2024. 5. 1
  • 吉田将規, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀. Prediction of event locations from urgent call using large language models. AI・データサイエンス論文集(Web). 2024. 5. 1
  • 五箇 亮太, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀. サッカー映像における時空間的関係を考慮したシュート予測の高精度化に関する検討 : 競技者のチーム情報に基づく完全二部グラフの導入-A Note on Accurate Shoot Prediction Considering Players' Spatio-temporal Relations in Soccer Videos : Introduction of Complete Bipartite Graph Based on Players' Team Information-マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス. 映像情報メディア学会技術報告 = ITE technical report. 2023. 47. 6. 23-28
more...
Education (3):
  • 2005 - 2007 Hokkaido University Graduate School of Information Science and Technology Division of Media and Network Technologies
  • 2003 - 2005 Hokkaido University Graduate School of Engineering
  • 1999 - 2003 Hokkaido University School of Engineering
Professional career (1):
  • 博士(情報科学) (北海道大学)
Work history (6):
  • 2023/01 - 現在 Hokkaido University Faculty of Information Science and Technology Professor
  • 2019/04 - 2023/01 Hokkaido University Faculty of Information Science and Technology Associate Professor
  • 2016/10 - 2019/03 Hokkaido University Graduate School of Information Science and Technology Associate Professor
  • 2008/07 - 2016/09 Hokkaido University Graduate School of Information Science and Technology
  • 2008/04 - 2008/06 Hokkaido University Graduate School of Information Science and Technology
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Committee career (26):
  • 2017/04 - 現在 電子情報通信学会 イメージ・メディア・クォリティ研究専門委員会
  • 2012/04 - 現在 The Institute of Image Information and Television Engineers ITE Transactions on Media Technology and Applications, Associate Editor
  • 2012/04 - 現在 映像情報メディア学会 メディア工学研究会 専門委員
  • 2011/04 - 現在 電子情報通信学会 電子情報通信学会論文誌 常任査読委員
  • 2008/04 - 現在 電気・情報関係学会北海道支部連合大会編集委員
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Awards (90):
  • 2023/10 - 2023 IEEE 12th Global Conference on Consumer Electronic, Bronze Prize GCCE2023 Excellent Student Poster Award
  • 2023/10 - 2023 IEEE 12th Global Conference on Consumer Electronic, Silver Prize GCCE2023 Excellent Paper Award
  • 2023/07 - 2023 ICCE-TW Best Paper Award Honorable Metion
  • 2023/02 - 2022 IEEE Sapporo Section Encouragement Award 3件
  • 2023/02 - 2022 IEEE Sapporo Section Student Paper Contest, Encouraging Prize
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Association Membership(s) (4):
Association for Computing Machinery ,  IEEE ,  THE INSTITUTE OF IMAGE INFORMATION AND TELEVISION ENGINEERS ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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