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 (5)： Perceptual information processing , Sensitivity (kansei) informatics , Intelligent informatics , Human interfaces and interactions , Web and service informatics

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 (15)：

2024 - 2029 A longitudinal study on the quality of early childhood care and education: an ecological system approach
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

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Papers (426)：

Tomoyuki Hatakeyama, Xueting Wang, Toshihiko Yamasaki. Transferability prediction among classification and regression tasks using optimal transport. Multim. Tools Appl. 2024. 83. 9. 25105-25119
Zerun Wang, Liuyu Xiang, Lang Huang, Jiafeng Mao, Ling Xiao 0001, Toshihiko Yamasaki. SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning. CoRR. 2024. abs/2409.17512
Maorong Wang, Nicolas Michel, Ling Xiao 0001, Toshihiko Yamasaki. Improving Plasticity in Online Continual Learning via Collaborative Learning. CVPR. 2024. 23460-23469
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li 0001, Hai Li 0001, et al. Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR. 2024. abs/2407.21794
Zaiying Zhao, Soichiro Kumano, Toshihiko Yamasaki. Language-guided Detection and Mitigation of Unknown Dataset Bias. CoRR. 2024. abs/2406.02889

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MISC (254)：

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

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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

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