Hiroaki Minoura

I'm Hiroaki Minoura. I study computer vision, machine learning and deep learning. I received one's Ph.D. at Chubu University. I was a member of Fujiyoshi and Yamashita Lab where is Machine Perception and Robotics Group (MPRG). Currently, I work at Sony Group Corporation. My research interests are Trajectory Forecasting, Time Series Analysis, Action Spotting and Image Classification.

• Student Encouragement, Award Tōkai region Section, IEICE, 2022

• Hiroaki Minoura, Tsubasa Hirakawa, Yusuke Sugano, Takayoshi Yamashita, Hironobu Fujiyoshi: “Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-based Forecasting Module," IEEE Transactions on Intelligent Vehicles (T-IV), 2023.
• Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi: “Trajectory Forecasting Considering Interactions between Moving Targets using Deep Learning: A Survey," The Institute of Electronics, Information and Communication Engineers, 2022.
• Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku: “Crowd Density Forecasting by Modeling Patch-based Dynamics," IEEE Robotics and Automation Letters (RA-L), 2020.
• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “移動対象の属性と環境情報を導入したLSTMによる経路予測," The Japan Society for Precision Engineering (JSPE), 2020.

• Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi: “Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer," The 18th International Conference on Computer Vision Theory and Application (VISAPP, Oral), 2023.
• Yuzhi Shi, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger: “Action Spotting in Soccer Videos Using Multiple Scene Encoders," The 26th International Conference on Pattern Recognition (ICPR, Oral), 2022.
• Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger: “Action Spotting and Temporal Attention Analysis in Soccer Videos," The 17th International Conference on Machine Vision Applications (MVA, Oral), 2021.
• Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi: “Relational Subgraph for Graph-based Path Prediction," The 17th International Conference on Machine Vision Applications (MVA, Poster), 2021.
• Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi: “Path predictions using object attributes and semantic environment," The 14th International Conference on Computer Vision Theory and Application (VISAPP, Oral), 2019.

• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “ViTの派生手法はどのような特徴表現を獲得しているか?," The 25rd Meeting on Image Recognition and Understanding (MIRU, Poster), 2022.
• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “Group-based Forecasting Moduleによる歩行者の社会的相互作用を考慮したマルチモーダルな軌跡予測," 2022 JSAE Annual Congress Spring, 2022.
• 伊佐 稜, 白木 克俊, 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “物体追跡による経路データセットの自動生成," Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, 2021.
• 箕浦 大晃, 平川 翼, 菅野 裕介, 山下 隆義, 藤吉 弘亘: “Group-based Forecasting Moduleによる歩行者の社会的相互作用を考慮したマルチモーダルな軌跡予測," The 24rd Meeting on Image Recognition and Understanding (MIRU, Short Oral), 2021.
• 宮田 昌樹, 白木 克俊, 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “関係性部分グラフを用いたGraph Convolutional Networkによる経路予測," The 24rd Meeting on Image Recognition and Understanding (MIRU, Poster), 2021.
• Yuzhi Shi, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi: “Action Spotting in Soccer Videos via Transformer with Past and Future Encoders," The 24rd Meeting on Image Recognition and Understanding (MIRU, Poster), 2021.
• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “Deep Learningを用いた経路予測の研究動向," 電子情報通信学会技術報告, パターン認識・メディア理解研究会 (PRMU, Presentation), 2020.
• 箕浦 大晃, 米谷 竜, 西村 真衣, 牛久 祥孝: “パッチベースモデルによる群衆予測," The 23rd Meeting on Image Recognition and Understanding (MIRU, Poster), 2020.
• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “衝突インタラクションを考慮した経路予測における評価指標の提案," The 23rd Meeting on Image Recognition and Understanding (MIRU, Poster), 2020.
• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “Dilated Causal Convolutionを用いた移動物体の経路予測に関する研究," 新学術領域研究 生物移動情報学 (Poster), 2019.
• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “移動対象の属性と環境情報を導入したLSTMによる経路予測," The 24th Symposium on Sensing via Image Information (SSII, Poster), 2018.
• 箕浦 大晃, 平川 翼, 山下 隆義, 藤吉 弘亘: “移動対象の属性と環境情報を導入したLSTMによる経路予測," 新学術領域研究 生物移動情報学 (Poster), 2018.

• 片岡裕雄　監修, 山本晋太郎, 徳永匡臣, 箕浦大晃, 邱玥（QIU YUE）, 品川政太朗 : Vision Transformer入門, 技術評論社 ISBN 978-4-297-13058-9, 2022.
• 箕浦大晃(4章担当) : コンピュータビジョン最前線　Summer 2022, 共立出版 ISBN 9784320125445, 2022.

2023/4 ~ Present Sony Group Corporation
2022/4 ~ 2023/3 NEDO AI That Evolves with People
2022/1 ~ 2023/3 JST Support for Pioneering Research Initiated by the Next Generation
2020/4 ~ 2023/3 Ph.D. Department of Computer science, graduate school of engineering, Chubu University
2019/4 ~ 2022/3 NEDO SIP Project
2019/8 ~ 2019/11 OMRON SINIC X CORP. Research Internship
2018/8 ~ 2018/9 Honda R&D Internship
2018/4 ~ 2020/3 M.E. Department of Computer science, graduate school of engineering, Chubu University
2014/4 ~ 2018/3 B.E. Department of Computer Science, college of engineering, Chubu University

Platforms Linux, Mac OS X, Windows
Programming C/C++, Python, Deep Learning's Framework (Chainer, PyTorch), Unix Shell Scripting
Other skills HTML/CSS, Linux Server Administration, LaTeX