Keisuke Fujii

Orcid: 0000-0001-5487-4297

Affiliations:
  • Nagoya University, Japan


According to our database1, Keisuke Fujii authored at least 53 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Estimation of control area in badminton doubles with pose information from top and back view drone videos.
Multim. Tools Appl., 2024

Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role.
CoRR, 2024

Machine Learning for Soccer Match Result Prediction.
CoRR, 2024

Foul prediction with estimated poses from soccer broadcast video.
CoRR, 2024

Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Learning to Predict Navigational Patterns From Partial Observations.
IEEE Robotics Autom. Lett., September, 2023

Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning.
Int. J. Comput. Sci. Sport, March, 2023

Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball.
CoRR, 2023

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding.
CoRR, 2023

Runner re-identification from single-view video in the open-world setting.
CoRR, 2023

Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees.
CoRR, 2023

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

Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis.
CoRR, 2023

Multi-Agent Deep-Learning Based Comparative Analysis of Team Sport Trajectories.
IEEE Access, 2023

Action Valuation of On- and Off-Ball Soccer Players Based on Multi-Agent Deep Reinforcement Learning.
IEEE Access, 2023

Predictive World Models from Real-World Partial Observations.
Proceedings of the IEEE International Conference on Mobility, 2023

Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from Inertial Sensors.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Score prediction using multiple object tracking for analyzing movements in 2-vs-2 Handball.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2022
Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections.
SIAM J. Appl. Dyn. Syst., 2022

Cooperative play classification in team sports via semi-supervised learning.
Int. J. Comput. Sci. Sport, 2022

Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities.
CoRR, 2022

Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes.
CoRR, 2022

Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios.
CoRR, 2022

Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball.
CoRR, 2022

Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts.
IEEE Access, 2022

Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2022

Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

How Does AI Play Football? An Analysis of RL and Real-world Football Strategies.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Estimating counterfactual treatment outcomes over time in multi-vehicle simulation.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Automatic fault detection in race walking from a smartphone camera via fine-tuning pose estimation.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Data-Driven Analysis for Understanding Team Sports Behaviors.
J. Robotics Mechatronics, 2021

ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations.
CoRR, 2021

Evaluation of soccer team defense based on prediction models of ball recovery and being attacked.
CoRR, 2021

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections.
CoRR, 2021

Flexible prediction of opponent motion with internal representation in interception behavior.
Biol. Cybern., 2021

Learning interaction rules from multi-animal trajectories via augmented behavioral models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fréchet Kernel for Trajectory Data Analysis.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020
Dynamic mode decomposition via dictionary learning for foreground modeling in videos.
Comput. Vis. Image Underst., 2020

Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union.
CoRR, 2020

Policy learning with partial observation and mechanical constraints for multi-person modeling.
CoRR, 2020

Succinct Trit-array Trie for Scalable Trajectory Similarity Search.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Trajectory prediction with imitation learning reflecting defensive evaluation in team sports.
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020

2019
Supervised dynamic mode decomposition via multitask learning.
Pattern Recognit. Lett., 2019

Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables.
Neural Networks, 2019

Physically-interpretable classification of network dynamics for complex collective motions.
CoRR, 2019

2018
Prediction and classification in equation-free collective motion dynamics.
PLoS Comput. Biol., 2018

Metric on Nonlinear Dynamical Systems with Koopman Operators.
CoRR, 2018

Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Quantitative Analysis and Visualization of Children's Group Behavior from the Perspective of Development of Spontaneity and Sociality.
Proceedings of the Collaboration and Technology - 24th International Conference, 2018

2017
Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


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