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ORCIDKeisuke Fujii 0001
藤井慶輔
Person information
- affiliation: Nagoya University, Japan
- unicode name: 藤井慶輔
Other persons with the same name
- Keisuke Fujii 0002 — Kyoto University, Kyoto, Japan
- Keisuke Fujii 0003
![[0000-0001-5738-4680]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5738-4680")
— High Energy Accelerator Research Organization (KEK), Tsukuba, Japan - Keisuke Fujii 0004 — Osaka University, Center for Quantum Information and Quantum Biology, Japan
- Keisuke Fujii 0005 — National Cancer Center Hospital East, Chiba, Japan
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2020 – today
- 2024
[j18]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: 67589-67599 (2024)- [j17]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): 22-36 (2024) - [j16]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): 24777-24793 (2024) - [j15]Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. Neural Networks 171: 40-52 (2024) - [j14]Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Open-Vocabulary Predictive World Models from Sensor Observations. Sensors 24(14): 4735 (2024) - [c23]Jun Ichikawa, Keisuke Fujii:
Force-Based Modeling of a Resilient Helping Role in Coordinated Behavior of a Triad. HCI (56) 2024: 148-155 - [c22]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: 27-39 - [i37]Jiale Fang, Calvin C. K. Yeung, Keisuke Fujii:
Foul prediction with estimated poses from soccer broadcast video. CoRR abs/2402.09650 (2024) - [i36]Rory P. Bunker, Calvin C. K. Yeung, Keisuke Fujii:
Machine Learning for Soccer Match Result Prediction. CoRR abs/2403.07669 (2024) - [i35]Kazuhiro Yamada, Keisuke Fujii:
Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role. CoRR abs/2403.13821 (2024) - [i34]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 abs/2404.13868 (2024) - [i33]Calvin C. K. Yeung, Kenjiro Ide, Keisuke Fujii:
AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements. CoRR abs/2405.12070 (2024) - [i32]Rikako Kono, Keisuke Fujii:
Mathematical models for off-ball scoring prediction in basketball. CoRR abs/2406.08749 (2024) - [i31]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 abs/2406.19655 (2024) - [i30]Ryota Tanaka, Tomohiro Suzuki, Keisuke Fujii:
3D Pose-Based Temporal Action Segmentation for Figure Skating: A Fine-Grained and Jump Procedure-Aware Annotation Approach. CoRR abs/2408.16638 (2024) - 2023
- [j13]Zhang Ziyi, Rory P. Bunker, Kazuya Takeda, Keisuke Fujii:
Multi-Agent Deep-Learning Based Comparative Analysis of Team Sport Trajectories. IEEE Access 11: 43305-43315 (2023) - [j12]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: 131237-131244 (2023) - [j11]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): 1-12 (2023) - [j10]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): 5592-5599 (2023) - [c21]Ren Kobayashi, Rikuhei Umemoto, Kazuya Takeda, Keisuke Fujii:
Score prediction using multiple object tracking for analyzing movements in 2-vs-2 Handball. GCCE 2023: 946-947 - [c20]Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from Inertial Sensors. GCCE 2023: 1099-1100 - [c19]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: 41-48 - [c18]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. MOST 2023: 152-166 - [i29]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. CoRR abs/2301.04783 (2023) - [i28]Calvin C. K. Yeung, Tony Sit, Keisuke Fujii:
Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis. CoRR abs/2302.09276 (2023) - [i27]Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Learning to Predict Navigational Patterns from Partial Observations. CoRR abs/2304.13242 (2023) - [i26]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 abs/2305.04247 (2023) - [i25]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 abs/2305.13030 (2023) - [i24]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 abs/2305.17886 (2023) - [i23]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 abs/2307.14732 (2023) - [i22]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 abs/2309.14807 (2023) - [i21]Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Runner re-identification from single-view video in the open-world setting. CoRR abs/2310.11700 (2023) - [i20]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 abs/2310.17193 (2023) - [i19]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 abs/2311.06497 (2023) - [i18]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 abs/2311.16564 (2023) - 2022
- [j9]Ning Ding, Kazuya Takeda, Keisuke Fujii:
Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts. IEEE Access 10: 54764-54772 (2022) - [j8]Zhang Ziyi, Kazuya Takeda, Keisuke Fujii:
Cooperative play classification in team sports via semi-supervised learning. Int. J. Comput. Sci. Sport 21(1): 111-121 (2022) - [j7]Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara:
Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections. SIAM J. Appl. Dyn. Syst. 21(2): 1030-1058 (2022) - [c17]Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda:
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. BMVC 2022: 699 - [c16]Jun Ichikawa, Keisuke Fujii:
Study on Heterogeneous Roles in Coordinated Behavior of a Triad Using Force-based Models. CogSci 2022 - [c15]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: 3568-3578 - [c14]Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic fault detection in race walking from a smartphone camera via fine-tuning pose estimation. GCCE 2022: 631-632 - [c13]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: 7:1-7:4 - [c12]Atom Scott, Keisuke Fujii, Masaki Onishi:
How Does AI Play Football? An Analysis of RL and Real-world Football Strategies. ICAART (1) 2022: 42-52 - [c11]Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning. ICPR Workshops (1) 2022: 210-224 - [c10]Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction. MLSA@PKDD/ECML 2022: 53-73 - [i17]Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii:
Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball. CoRR abs/2206.01871 (2022) - [i16]Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction. CoRR abs/2206.01899 (2022) - [i15]Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. CoRR abs/2206.01900 (2022) - [i14]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 abs/2208.12646 (2022) - [i13]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 abs/2212.00021 (2022) - 2021
- [j6]Kazushi Tsutsui, Keisuke Fujii, Kazutoshi Kudo, Kazuya Takeda:
Flexible prediction of opponent motion with internal representation in interception behavior. Biol. Cybern. 115(5): 473-485 (2021) - [j5]Keisuke Fujii:
Data-Driven Analysis for Understanding Team Sports Behaviors. J. Robotics Mechatronics 33(3): 505-514 (2021) - [c9]Jun Ichikawa, Keisuke Fujii:
Understanding Others' Roles Based on Perspective Taking in Coordinated Group Behavior. CogSci 2021 - [c8]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: 221-224 - [c7]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: 11108-11122 - [i12]Keisuke Fujii:
Data-driven Analysis for Understanding Team Sports Behaviors. CoRR abs/2102.07545 (2021) - [i11]Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara:
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. CoRR abs/2102.09973 (2021) - [i10]Kosuke Toda, Masakiyo Teranishi, Keisuke Kushiro, Keisuke Fujii:
Evaluation of soccer team defense based on prediction models of ball recovery and being attacked. CoRR abs/2103.09627 (2021) - [i9]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 abs/2107.05326 (2021) - [i8]Atom Scott, Keisuke Fujii, Masaki Onishi:
How does AI play football? An analysis of RL and real-world football strategies. CoRR abs/2111.12340 (2021) - [i7]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 abs/2111.12460 (2021) - 2020
- [j4]Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara:
Dynamic mode decomposition via dictionary learning for foreground modeling in videos. Comput. Vis. Image Underst. 199: 103022 (2020) - [c6]Masakiyo Teranishi, Keisuke Fujii, Kazuya Takeda:
Trajectory prediction with imitation learning reflecting defensive evaluation in team sports. GCCE 2020: 124-125 - [c5]Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei:
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. SIGSPATIAL/GIS 2020: 518-529 - [c4]Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara:
Dynamic Mode Decomposition via Dictionary Learning for Foreground Modeling in Videos. VISIGRAPP (5: VISAPP) 2020: 476-483 - [i6]Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei:
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. CoRR abs/2005.10917 (2020) - [i5]Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Policy learning with partial observation and mechanical constraints for multi-person modeling. CoRR abs/2007.03155 (2020) - [i4]Rory P. 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 abs/2010.15377 (2020)
2010 – 2019
- 2019
- [j3]Keisuke Fujii, Yoshinobu Kawahara:
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. Neural Networks 117: 94-103 (2019) - [j2]Keisuke Fujii, Yoshinobu Kawahara:
Supervised dynamic mode decomposition via multitask learning. Pattern Recognit. Lett. 122: 7-13 (2019) - [i3]Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara:
Physically-interpretable classification of network dynamics for complex collective motions. CoRR abs/1905.04859 (2019) - 2018
- [j1]Keisuke Fujii, Takeshi Kawasaki, Yuki Inaba, Yoshinobu Kawahara:
Prediction and classification in equation-free collective motion dynamics. PLoS Comput. Biol. 14(11) (2018) - [c3]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: 169-176 - [c2]Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara:
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators. NeurIPS 2018: 2861-2871 - [i2]Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara:
Metric on Nonlinear Dynamical Systems with Koopman Operators. CoRR abs/1805.12324 (2018) - [i1]Keisuke Fujii, Yoshinobu Kawahara:
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. CoRR abs/1808.10551 (2018) - 2017
- [c1]Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara:
Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays. ECML/PKDD (3) 2017: 127-139
Coauthor Index
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