Keisuke Fujii

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 77

Top Topics

Data Collections

Reinforcement Learning

Object Tracking

Dynamical Systems

Top Venues

Int. J. Comput. Sci. Sport

Publications

Qingrui Hu, Atom Scott, Calvin C. K. Yeung, Keisuke Fujii
Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Tracking. CoRR (2024)
Rory P. Bunker, Calvin C. K. Yeung, Keisuke Fujii
Machine Learning for Soccer Match Result Prediction. CoRR (2024)
Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda
DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding. IEEE Access 12 (2024)
Atom Scott, Ikuma Uchida, Ning Ding, Rikuhei Umemoto, Rory P. Bunker, Ren Kobayashi, Takeshi Koyama, Masaki Onishi, Yoshinari Kameda, Keisuke Fujii
TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos. CoRR (2024)
Rikako Kono, Keisuke Fujii
Mathematical models for off-ball scoring prediction in basketball. CoRR (2024)
Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic Detection of Faults in Simulated Race Walking from a Fixed Smartphone Camera. Int. J. Comput. Sci. Sport 23 (1) (2024)
Kazuhiro Yamada, Keisuke Fujii
Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role. CoRR (2024)
Jiale Fang, Calvin C. K. Yeung, Keisuke Fujii
Foul prediction with estimated poses from soccer broadcast video. CoRR (2024)
Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei, Keisuke Fujii
Estimation of control area in badminton doubles with pose information from top and back view drone videos. Multim. Tools Appl. 83 (8) (2024)
Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara
Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations. ICAART (2) (2024)
Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. Neural Networks 171 (2024)
Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Open-Vocabulary Predictive World Models from Sensor Observations. Sensors 24 (14) (2024)
Jun Ichikawa, Keisuke Fujii
Force-Based Modeling of a Resilient Helping Role in Coordinated Behavior of a Triad. HCI (56) (2024)
Calvin C. K. Yeung, Kenjiro Ide, Keisuke Fujii
AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements. CoRR (2024)
Rory P. Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball. CoRR (2023)
Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Learning to Predict Navigational Patterns from Partial Observations. CoRR (2023)
Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs. MMSports@MM (2023)
Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding. CoRR (2023)
Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
Runner re-identification from single-view video in the open-world setting. CoRR (2023)
Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Predictive World Models from Real-World Partial Observations. MOST (2023)
Ren Kobayashi, Rikuhei Umemoto, Kazuya Takeda, Keisuke Fujii
Score prediction using multiple object tracking for analyzing movements in 2-vs-2 Handball. GCCE (2023)
Calvin C. K. Yeung, Keisuke Fujii
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. CoRR (2023)
Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning. CoRR (2023)
Calvin C. K. Yeung, Tony Sit, Keisuke Fujii
Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis. CoRR (2023)
Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
Action Valuation of On- and Off-Ball Soccer Players Based on Multi-Agent Deep Reinforcement Learning. IEEE Access 11 (2023)
Zhang Ziyi, Rory P. Bunker, Kazuya Takeda, Keisuke Fujii
Multi-Agent Deep-Learning Based Comparative Analysis of Team Sport Trajectories. IEEE Access 11 (2023)
Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations. CoRR (2023)
Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei, Keisuke Fujii
Estimation of control area in badminton doubles with pose information from top and back view drone videos. CoRR (2023)
Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from Inertial Sensors. GCCE (2023)
Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs. CoRR (2023)
Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Predictive World Models from Real-World Partial Observations. CoRR (2023)
Calvin C. K. Yeung, Rory P. Bunker, Rikuhei Umemoto, Keisuke Fujii
Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees. CoRR (2023)
Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Learning to Predict Navigational Patterns From Partial Observations. IEEE Robotics Autom. Lett. 8 (9) (2023)
Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii
Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning. Int. J. Comput. Sci. Sport 22 (1) (2023)
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections. SIAM J. Appl. Dyn. Syst. 21 (2) (2022)
Atom Scott, Keisuke Fujii, Masaki Onishi
How Does AI Play Football? An Analysis of RL and Real-world Football Strategies. ICAART (1) (2022)
Jun Ichikawa, Keisuke Fujii
Study on Heterogeneous Roles in Coordinated Behavior of a Triad Using Force-based Models. CogSci (2022)
Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic fault detection in race walking from a smartphone camera via fine-tuning pose estimation. GCCE (2022)
Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction. CoRR (2022)
Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction. MLSA@PKDD/ECML (2022)
Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. BMVC (2022)
Zhang Ziyi, Kazuya Takeda, Keisuke Fujii
Cooperative play classification in team sports via semi-supervised learning. Int. J. Comput. Sci. Sport 21 (1) (2022)
Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. SIGSPATIAL/GIS (2022)
Atom Scott, Ikuma Uchida, Masaki Onishi, Yoshinari Kameda, Kazuhiro Fukui, Keisuke Fujii
SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos. CVPR Workshops (2022)
Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes. CoRR (2022)
Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. CoRR (2022)
Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning. ICPR Workshops (1) (2022)
Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii
Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball. CoRR (2022)
Ning Ding, Kazuya Takeda, Keisuke Fujii
Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts. IEEE Access 10 (2022)
Rikuhei Umemoto, Kazushi Tsutsui, Keisuke Fujii
Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities. CoRR (2022)
Atom Scott, Keisuke Fujii, Masaki Onishi
How does AI play football? An analysis of RL and real-world football strategies. CoRR (2021)
Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda
ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations. CoRR (2021)
Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa
Fréchet Kernel for Trajectory Data Analysis. SIGSPATIAL/GIS (2021)
Keisuke Fujii
Data-driven Analysis for Understanding Team Sports Behaviors. CoRR (2021)
Kazushi Tsutsui, Keisuke Fujii, Kazutoshi Kudo, Kazuya Takeda
Flexible prediction of opponent motion with internal representation in interception behavior. Biol. Cybern. 115 (5) (2021)
Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
Learning interaction rules from multi-animal trajectories via augmented behavioral models. CoRR (2021)
Kosuke Toda, Masakiyo Teranishi, Keisuke Kushiro, Keisuke Fujii
Evaluation of soccer team defense based on prediction models of ball recovery and being attacked. CoRR (2021)
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. CoRR (2021)
Jun Ichikawa, Keisuke Fujii
Understanding Others' Roles Based on Perspective Taking in Coordinated Group Behavior. CogSci (2021)
Keisuke Fujii
Data-Driven Analysis for Understanding Team Sports Behaviors. J. Robotics Mechatronics 33 (3) (2021)
Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
Learning interaction rules from multi-animal trajectories via augmented behavioral models. NeurIPS (2021)
Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. CoRR (2020)
Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. SIGSPATIAL/GIS (2020)
Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Policy learning with partial observation and mechanical constraints for multi-person modeling. CoRR (2020)
Rory Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union. CoRR (2020)
Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara
Dynamic mode decomposition via dictionary learning for foreground modeling in videos. Comput. Vis. Image Underst. 199 (2020)
Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara
Dynamic Mode Decomposition via Dictionary Learning for Foreground Modeling in Videos. VISIGRAPP (5: VISAPP) (2020)
Masakiyo Teranishi, Keisuke Fujii, Kazuya Takeda
Trajectory prediction with imitation learning reflecting defensive evaluation in team sports. GCCE (2020)
Keisuke Fujii, Yoshinobu Kawahara
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. Neural Networks 117 (2019)
Keisuke Fujii, Yoshinobu Kawahara
Supervised dynamic mode decomposition via multitask learning. Pattern Recognit. Lett. 122 (2019)
Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara
Physically-interpretable classification of network dynamics for complex collective motions. CoRR (2019)
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara
Metric on Nonlinear Dynamical Systems with Koopman Operators. CoRR (2018)
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators. NeurIPS (2018)
Keisuke Fujii, Yoshinobu Kawahara
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. CoRR (2018)
Jun Ichikawa, Keisuke Fujii, Takayuki Nagai, Takashi Omori, Natsuki Oka
Quantitative Analysis and Visualization of Children's Group Behavior from the Perspective of Development of Spontaneity and Sociality. CRIWG (2018)
Keisuke Fujii, Takeshi Kawasaki, Yuki Inaba, Yoshinobu Kawahara
Prediction and classification in equation-free collective motion dynamics. PLoS Comput. Biol. 14 (11) (2018)
Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara
Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays. ECML/PKDD (3) (2017)