Yuya Moroto

Yuya Moroto

Researcher at Hitachi, Ltd.

Publications

International Journal (refereed)

  1. Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Multimodal Shot Prediction Based on Spatial-temporal Interaction between Players in Soccer Videos”
    Applied Sciences, vol. 14, no. 11: 4847, 2024.
    [paper link]

  2. Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, and Miki Haseyama,
    “Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions“
    Sensors, vol. 24, no. 11: 3440, 2024.
    [paper link]

  3. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Snow- or Ice-covered Road Detection in Winter Road Surface Conditions using Deep Neural Networks“
    Computer-Aided Civil and Infrastructure Engineering (CACAIE), vol. 39, no. 19, pp. 2935-2950, 2024.
    [paper link]

  4. Yuya Moroto, Yingrui Ye, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Zero-shot Visual Sentiment Prediction via Cross-domain Knowledge Distillation“
    IEEE Open Journal of Signal Processing (IEEE OJSP), vol. 5, pp. 177-185, 2024.
    [paper link]

  5. Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players’ Spatial-temporal Relations“
    Sensors, vol. 23, no. 9: 4506, 2023.
    [paper link]

  6. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes with Time in Visual Attention and Brain Activity“
    IEEE Access, vol. 8, pp. 203358-203368, 2020.
    [paper link]

  7. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Few-shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention“
    Sensors, vol. 20, no. 8: 2170, 2020.
    [paper link]

  8. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion“
    Sensors, vol. 20, no. 7: 2146, 2020.
    [paper link]

Domestic Journal (refereed)

  1. 諸戸 祐哉, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀,
    “時系列データを用いたMulti-modal Transformerに基づく冬期路面状態の分類“
    土木学会 AI・データサイエンス論文集, vol. 4, no. 3, pp. 402-413, 2023.
    [paper link]

  2. 諸戸 祐哉, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀,
    “テキストおよび画像情報に基づくFocal Lossを導入した深層学習による冬期路面状態の分類“
    土木学会 AI・データサイエンス論文集, vol. 3, no. J2, pp. 293-306, 2022.
    [paper link]

International Conference (refereed)

○: Presenter

  1. 〇Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “What to do and where to go next? action prediction in soccer using multimodal co-attention transformer“
    in Proceedings of ACM Workshop on Multimedia Content Analysis in Sports (MMSports’24) at ACM Multimedia, pp. 75-79, 2024.
    [paper link]

  2. Yuya Moroto, Yingrui Ye, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Zero-shot Visual Sentiment Prediction via Cross-domain Knowledge Distillation“
    in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
    (as presentation of our paper accepted in IEEE OJSP 2024)
    [paper link]

  3. 〇Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Huang-Chia Shih, and Miki Haseyama,
    “Masked Modeling-based Action Event Prediction Considering Bidirectional Time-series in Soccer“
    in Proceedings of the International Workshop on Advanced Image Technology (IWAIT), vol. 13164, pp. 628-633, 2024.1.
    [paper link]

  4. 〇Yuya Moroto*, 〇Rintaro Yanagi*, Naoki Ogawa, 〇Kyohei Kamikawa, 〇Keigo Sakurai, Ren Togo, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama (*: equal contribution),
    “Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression“
    in Proceedings of the ACM Multimedia (ACM MM), Demos and Videos Track, pp.9399-9401, 2023.10.
    [paper link]

  5. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Multi-view Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals“
    in Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 2925-2929, 2023.10.
    [paper link] [presentation file] 

  6. 〇Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Shoot Event Prediction in Soccer Considering Expected Goals Based on Players’ Positions“
    in Proceedings of the IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp.449–450, 2023.7.
    [paper link]

  7. 〇Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features“
    in Proceedings of the IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp.793–794, 2023.7.
    [paper link]

  8. 〇Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Affective Embedding Framework with Semantic Representations from Tweets for Zero-shot Visual Sentiment Prediction“
    in Proceedings of the ACM Multimedia Asia, pp.1–7, 2022.12.
    [paper link]

  9. 〇Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Shoot Event Prediction From Soccer Videos by Considering Players’ Spatio-Temporal Relations“
    in Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE), pp.417-418, 2022.10.
    [paper link]

  10. 〇Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Visual Sentiment Prediction Using Cross-way Few-Shot Learning Based on Knowledge Distillation“
    in Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 3838-3842, 2022.10.
    [paper link]

  11. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Few-shot Personalized Saliency Prediction with Similarity of gaze Tendency Using Object-based Structual Information“
    in Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 3823-3827, 2022.10.
    [paper link]

  12. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Human Emotion Recognition Using Multi-Modal Biological Signals Based on Time Lag-Considered Correlation Maximization“
    in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4683-4687, 2022.5.
    [paper link] [presentation file] 

  13. 〇Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features“
    in Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE), pp.217-218, 2021.10.
    [paper link]

  14. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Few-Shot Personalized Saliency Prediction Using Person Similarity Based on Collaborative Multi-Output Gaussian Process Regression“
    in Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 1469-1473, 2021.9.
    [paper link]  [presentation file]

  15. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes“
    in Proceedings of the IEEE Global Conference on Life Sciences and Technologies (LifeTech), pp.82-83, 2021.3.
    [paper link]

  16. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Estimation of User-Specific Visual Attention Considering Individual Tendency Toward Gazed Objects“
    in Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE), pp.554-555, 2020.10.
    [paper link]

  17. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Estimation of Person-Specific Visual Attention via Selection of Similar Persons“
    in Proceedings of the IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp.1-2, 2020.9.
    [paper link]

  18. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users“
    in Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE), pp.486-487, 2019.10.
    [paper link]

  19. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Estimation of Emotion Labels via Tensor-based Spatiotemporal Visual Attention Analysis“
    in Proceedings of IEEE the International Conference on Image Processing (ICIP), pp.4105-4109, 2019.9.
    [paper link]

  20. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images“
    in Proceedings of the IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp.479-480, 2019.5.
    [paper link]

  21. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features“
    in Proceedings of the IEEE Global Conference on Life Sciences and Technologies (LifeTech), pp.229-230, 2019.3.
    [paper link]

  22. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “User-centric Visual Attention Estimation Based on Relationship Between Image and Eye Gaze Data“
    in Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE), pp.44-45, 2018.10.
    [paper link]

Preprint

  1. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information“
    arXiv preprint arXiv:2307.02799, 2023.
    [paper link]

国内学会 / Domesctic Conference (一部査読有)

○: Presenter

  1. 諸戸 祐哉, 〇伊藤 良起, 佐々木 辰也, 秋山 高行,
    “Object Keypoint Similarityを応⽤した⾼解像度画像における⼈物⾻格の⼆重検知除去”
    第31回 画像センシングシンポジウム, pp.1-8, 2025.5
    (スポットライト発表採択)

  2. 〇五箇 亮太, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “双方向Transformerに基づいたサッカー選手のイベントデータからの行動推定に関する検討“
    映像情報メディア学会技術報告, vol. 48, no. 6, pp. 318-322, 2024.2.

  3. 〇諸戸 祐哉, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀,
    “時系列データを用いたMulti-modal Transformerに基づく冬期路面状態の分類“
    第4回　ＡＩ・データサイエンスシンポジウム, 2023.11.
    (土木学会 AI・データサイエンス論文集 2023の内容として発表)

  4. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Human emotion recognition while viewing images based on multi-view variational recurrent neural network“
    第26回 画像の認識・理解シンポジウム (MIRU 2023), pp. 1-5, 2023.7.

  5. Yingrui Ye, 〇Yuya Moroto, 〇Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Zero-shot Visual Sentiment Prediction with Cross-domain Sentiments Using Knowledge Distillation“
    第26回 画像の認識・理解シンポジウム (MIRU 2023), pp. 1-5, 2023.7.
    (ロングオーラル採択 採択率16/194=16%)

  6. 〇五箇 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～“
    映像情報メディア学会技術報告, vol. 47, no. 6, pp. 227-232, 2023.2.

  7. 〇諸戸 祐哉, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀,
    “テキストおよび画像情報に基づくFocal Lossを導入した深層学習による冬期路面状態の分類“
    第3回　ＡＩ・データサイエンスシンポジウム, 2022.11.
    (土木学会 AI・データサイエンス論文集 2022の内容として発表)

  8. 〇五箇 亮太, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “サッカー競技のスカウティング映像における選手間の時空間的関係を考慮した不確実性に基づくシュートイベント予測に関する検討“
    令和4年度電気・情報関係学会北海道支部連合大会, pp. 196-197, 2022.11.

  9. 〇Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, and Miki Haseyama,
    “Few-shot personalized saliency prediction via person similarity using tensor-based regression“
    第25回 画像の認識・理解シンポジウム (MIRU 2022), 2022.7.

  10. 〇叶 穎睿, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “知識蒸留を用いたFew-shot Learningに基づく画像の感情ラベル推定に関する検討“
    映像情報メディア学会技術報告, vol. 46, no. 6, pp. 171-175, 2022.2.

  11. 〇諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “画像中の物体情報を考慮したユーザ類似度に基づく個人に特化した注視領域の推定に関する検討“
    映像情報メディア学会技術報告, vol. 44, no. 6, pp. 181－186, 2022.2.

  12. 〇叶 穎睿, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “Few-shot learningを用いた感情ラベル推定における複数のデータセット利用に関する初期検討“
    令和3年度電気・情報関係学会北海道支部連合大会, pp. 123-124, 2021.11.

  13. 〇諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “路面画像を用いた異常検知に基づく路面状態の識別に関する検討“
    令和2年度電気・情報関係学会北海道支部連合大会, pp. 118-119, 2020.11.

  14. 〇諸戸 祐哉哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “［特別講演］路面画像を用いた深層学習に基づく路面状態の識別に関する検討“
    映像情報メディア学会技術報告, vol. 45, no. 4, pp. 165-169, 2021.2.

  15. 〇諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “画像注視時のヒトの感情推定のための視線特徴の推定に関する検討“
    映像情報メディア学会技術報告, vol. 44, no. 6, pp. 85-89, 2020.

  16. 〇諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “Sparse Bayesian Learningに基づく注視領域の時間変化を考慮したヒトの感情推定に関する検討“
    令和元年度電気・情報関係学会北海道支部連合大会, pp. 149-150, 2019.11.

  17. 〇諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “視線情報を考慮した画像のテンソル表現に基づく感情ラベル推定に関する検討 –複数ユーザの推定結果の統合に基づく高精度化–“
    第22回 画像の認識・理解シンポジウム (MIRU), pp. 1-4, 2019.7.

  18. 〇諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “画像の視覚的および空間的特徴に基づくユーザに特化した注視領域推定の高精度化に関する検討 ～視覚的特徴の類似度と推定精度の関係性に関する一考察～“
    イメージ・メディア・クオリティ研究会 (IMQ), pp. 13-16, 2019.7.

  19. 〇諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀,
    “画像注視時の注視領域の時間変化を考慮したテンソル解析に基づく感情推定に関する検討“
    平成30年度電気・情報関係学会北海道支部連合大会, pp. 137-138, 2018.11.