Rchr
J-GLOBAL ID:201101054011904547   Update date: Mar. 17, 2024

Yamasaki Toshihiko

ヤマサキ トシヒコ | Yamasaki Toshihiko
Affiliation and department:
Job title: Professor
Homepage URL  (1): http://www.cvm.t.u-tokyo.ac.jp/
Research field  (7): Web and service informatics ,  Intelligent informatics ,  Sensitivity (kansei) informatics ,  Intelligent robotics ,  Perceptual information processing ,  Human interfaces and interactions ,  Database science
Research keywords  (9): computer vision ,  multimedia ,  Artificial Intelligence ,  pattern recognition ,  Machine Learning ,  Attractiveness Computing ,  Computer Graphics ,  Internet of Things (IoT) ,  VLSI
Research theme for competitive and other funds  (14):
  • 2022 - 2025 Fundamental Technologies for Deep Fake Detection
  • 2021 - 2024 Elucidation of age-related macular degeneration pathology by fundus image and cytokine concentrations using artificial intelligence
  • 2019 - 2024 The longitudinal study on the effects of early childhood education and care on child development
  • 2019 - 2022 Machine Learning with Small Data
  • 2018 - 2022 Assistance of multi-media contents generation for supporting learning and teaching of craftsmanship at home
Show all
Papers (241):
  • Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa. Cross-Lingual Learning in Multilingual Scene Text Recognition. CoRR. 2023. abs/2312.10806
  • Yingxuan Li, Kiyoharu Aizawa, Yusuke Matsui. Manga109Dialog A Large-scale Dialogue Dataset for Comics Speaker Detection. CoRR. 2023. abs/2306.17469
  • Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa. COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts. ECCV (28). 2022. 267-283
  • 東京大学 大学院情報理工学系研究科 電子情報学専攻 相澤・山肩・松井研究室+山崎研究室. Journal of the Virtual Reality Society of Japan. 2021. 26. 3. 38-40
  • Keita Awane, Koki Tsubota, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa, Naohiro Yanase. Improving The Quality Of Illustrations: Transforming Amateur Illustrations To A Professional Standard. 2021 IEEE International Conference on Image Processing(ICIP). 2021. 584-588
more...
MISC (253):
  • 梶浦 信勝, 小杉 哲, 汪 雪婷, 山崎 俊彦, 相澤 清晴. Self-Play深層強化学習を用いた画像の高速非線形リサイズ-Self-Play Reinforcement Learning for Fast Image Retargeting. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2020. 119. 454. 127-131
  • 中前 祐人, 王 雪婷, 山崎 俊彦, 相澤 清晴. 魅力度を考慮した髪型の推薦-メディアエクスペリエンス・バーチャル環境基礎. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2020. 119. 457. 145-150
  • 池田 純, 勢〆 弘幸, 汪 雪婷, 山崎 俊彦, 相澤 清晴. マルチモーダル深層学習によるオンライン動画広告のCTR予測-Predicting the online video advertising effectiveness with multimodal deep learning. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2020. 119. 454. 133-136
  • 王 力捷, 汪 雪テイ, 山崎 俊彦, 相澤 清晴. 複数パッチ抽出によるアスペクト比を維持した画像審美度スコア予測-Aspect-Ratio-Preserving Multi-Patch Image Aesthetic Score Prediction-メディアエクスペリエンス・バーチャル環境基礎. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2019. 118. 502. 85-90
  • 夏 博恵, 汪 雪婷, 山崎 俊彦, 相澤 清晴, 勢〆 弘幸. 画像・言語特徴を用いた深層学習によるオンライン広告のクリック率予測-DNN-Based Click Through Rate Prediction Using Visual and Textual Features of Online Banners. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2019. 118. 500. 137-142
more...
Professional career (1):
  • 博士(工学) (東京大学)
Work history (5):
  • 2022/09 - The University of Tokyo Department of Information and Communication Engineering, The Graduate School of Information Science and Technology Professor
  • 2009/04 - 2022/08 The University of Tokyo The Graduate School of Information Science and Technology, Department of Information and Communication Engineering
  • 2011/02 - 2013/02 日本学術振興会海外特別研究員
  • 2006/10 - 2009/03 The University of Tokyo The Graduate School of Information Science and Technology, Department of Information and Communication Engineering
  • 2004/04 - 2006/10 The University of Tokyo Graduate School of Frontier Sciences, Department of Frontier Intormatics
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page