Keisuke Fujii

About Keisuke Fujii

Keisuke Fujii, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at Nagoya University, specializes in the field of Sports, Machine learning, Multi-agent behavior, Computational biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling

Estimation of control area in badminton doubles with pose information from top and back view drone videos

Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios

Machine Learning for Soccer Match Result Prediction

Multi-agent deep-learning based comparative analysis of team sport trajectories

Biomechanical strategies to maximize gait attractiveness among women

A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding

Keisuke Fujii Information

University

Position

___

Citations(all)

903

Citations(since 2020)

757

Cited By

375

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

38

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Keisuke Fujii Skills & Research Interests

Sports

Machine learning

Multi-agent behavior

Computational biology

Top articles of Keisuke Fujii

Title

Journal

Author(s)

Publication Date

Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling

Neural Networks

Keisuke Fujii

Naoya Takeishi

Yoshinobu Kawahara

Kazuya Takeda

2024/3/1

Estimation of control area in badminton doubles with pose information from top and back view drone videos

Multimedia Tools and Applications

Ning Ding

Kazuya Takeda

Wenhui Jin

Yingjiu Bei

Keisuke Fujii

2024/3

Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios

IEEE Transactions on Neural Networks and Learning Systems

Keisuke Fujii

Koh Takeuchi

Atsushi Kuribayashi

Naoya Takeishi

Yoshinobu Kawahara

...

2024/2/26

Machine Learning for Soccer Match Result Prediction

arXiv preprint arXiv:2403.07669

Rory Bunker

Calvin Yeung

Keisuke Fujii

2024/3/12

Multi-agent deep-learning based comparative analysis of team sport trajectories

IEEE Access

Zhang Ziyi

Rory Bunker

Kazuya Takeda

Keisuke Fujii

2023/4/21

Biomechanical strategies to maximize gait attractiveness among women

Frontiers in Sports and Active Living

Hiroko Tanabe

Keisuke Fujii

Naotsugu Kaneko

Hikaru Yokoyama

Kimitaka Nakazawa

2023/2/2

A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory

arXiv preprint arXiv:2307.14732

Calvin CK Yeung

Keisuke Fujii

2023/7/27

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding

arXiv preprint arXiv:2311.06497

Yingjie Niu

Ming Ding

Keisuke Fujii

Kento Ohtani

Alexander Carballo

...

2023/11/11

A comparative evaluation of Elo ratings-and machine learning-based methods for tennis match result prediction

Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology

Rory Bunker

Calvin Yeung

Teo Susnjak

Chester Espie

Keisuke Fujii

2023

A framework of interpretable match results prediction in football with FIFA ratings and team formation

Plos one

Calvin CK Yeung

Rory Bunker

Keisuke Fujii

2023/4/13

Learning to predict navigational patterns from partial observations

IEEE Robotics and Automation Letters

Robin Karlsson

Alexander Carballo

Francisco Lepe-Salazar

Keisuke Fujii

Kento Ohtani

...

2023/7/3

Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs

Ryota Tanaka

Tomohiro Suzuki

Kazuya Takeda

Keisuke Fujii

2023/10/29

Can golfers choose low-risk routes in steep putting based on visual feedback of ball trajectory?

Frontiers in Sports and Active Living

Yumiko Hasegawa

Ayako Okada

Keisuke Fujii

2023

Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning

International Journal of Computer Science in Sport

Hiroshi Nakahara

Kazuya Takeda

Keisuke Fujii

2023/3

Pitching strategy evaluation via stratified analysis using propensity score

Journal of Quantitative Analysis in Sports

Hiroshi Nakahara

Kazuya Takeda

Keisuke Fujii

2023/6/27

Runner re-identification from single-view video in the open-world setting

arXiv preprint arXiv:2310.11700

Tomohiro Suzuki

Kazushi Tsutsui

Kazuya Takeda

Keisuke Fujii

2023/10/18

Study on the resilient role in coordinated behavior of a triad using deep reinforcement learning and rule-based modeling

IEICE Technical Report; IEICE Tech. Rep.

Jun Ichikawa

Kazushi Tsutsui

Keisuke Fujii

2023/2/23

Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations

arXiv preprint arXiv:2305.13030

Keisuke Fujii

Kazushi Tsutsui

Atom Scott

Hiroshi Nakahara

Naoya Takeishi

...

2023/5/22

Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees

arXiv preprint arXiv:2309.14807

Calvin Yeung

Rory Bunker

Rikuhei Umemoto

Keisuke Fujii

2023/9/26

Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball

arXiv preprint arXiv:2311.16564

Rory Bunker

Vo Nguyen Le Duy

Yasuo Tabei

Ichiro Takeuchi

Keisuke Fujii

2023/11/28

See List of Professors in Keisuke Fujii University(Nagoya University)

Co-Authors

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