Research List

Preprint

arXiv 2026

BFMD: A Large-Scale Full-Match Badminton Video Dataset with Dense Annotations for Shot Captioning

Ning Ding, Keisuke Fujii, Toru Tamaki

arXiv preprint arXiv:2603.25533 (2026.3)

arXiv Code Dataset

Journal Papers / 期刊論文

Multimedia Tools and Applications 2024 Peer-reviewed

Estimation of Control Area in Badminton Doubles with Pose Information from Top and Back View Drone Videos

Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei, Keisuke Fujii

Multimedia Tools and Applications, Vol.83, No.8, pp.24777–24793 (2024.3)

IEEE Access 2022 Peer-reviewed

Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts

Ning Ding, Kazuya Takeda, Keisuke Fujii

IEEE Access, Vol.10, pp.54764–54772 (2022.5)

Conference & Workshop Papers / 学会・国際会議

MMSports @ ACM MM 2025 2025.10 Peer-reviewed

Shot2Tactic-Caption: Multi-Scale Captioning of Badminton Videos for Tactical Understanding

○Ning Ding, Keisuke Fujii, Toru Tamaki

Proceedings of the 8th International ACM Workshop on Multimedia Content Analysis in Sports (MMSports) at ACM Multimedia 2025, pp.105–113 (2025.10)

ICCV WS 2025 2025.10 Peer-reviewed

Disentangling Static and Dynamic Information for Reducing Static Bias in Action Recognition

Masato Kobayashi, ○Ning Ding, Toru Tamaki

ICCV 2025 Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real) (2025.10)

iCSPORTS 2025 2025.10 Peer-reviewed

Play Evaluation Based on Predicting the Outcome of Back-row Attacks in Volleyball

Hikaru Yoshihara, ○Ning Ding, Keisuke Fujii

Proceedings of the International Conference on Sport Sciences Research and Technology Support (iCSPORTS 2025), pp.29–37 (2025.10)

MMSports @ ACM MM 2025 2025.10 Peer-reviewed

TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos

Kazuhiro Yamada, Li Yin, Hu Qingrui, ○Ning Ding, Shunsuke Iwashita, Jun Ichikawa, Kiwamu Kotani, Calvin Yeung, Keisuke Fujii

Proceedings of the 8th International ACM Workshop on Multimedia Content Analysis in Sports (MMSports) at ACM Multimedia 2025, pp.163–173 (2025.10)

MLSA @ ECML-PKDD 2025 2025.9 Peer-reviewed

Evaluating Movement Initiation Timing in Ultimate Frisbee via Temporal Counterfactuals

Shunsuke Iwashita, ○Ning Ding, Keisuke Fujii

Proceedings of the 12th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2025), co-located with ECML-PKDD 2025, pp.158–178 (2025.9)

MVA 2025 2025.7 Peer-reviewed

MoExDA: Domain Adaptation for Edge-based Action Recognition

Takuya Sugimoto, ○Ning Ding, Toru Tamaki

Proceedings of the 19th International Conference on Machine Vision and Applications (MVA 2025), pp.1–7 (2025.7)

CVPRW 2025 2025.6 Peer-reviewed

Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning

Yusaku Takama, ○Ning Ding, Tatsuya Yokota, Toru Tamaki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2025), pp.6429–6437 (2025.6)

CVSports @ CVPR 2024 2024.6 Peer-reviewed

TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-Pitch Videos

Atom Scott, Ikuma Uchida, ○Ning Ding, Rikuhei Umemoto, Rory Bunker, Ren Kobayashi, Takeshi Koyama, Masaki Onishi, Yoshinari Kameda, Keisuke Fujii

Proceedings of the CVPR 2024 Workshop on Computer Vision in Sports (CVSports), pp.3357–3366 (2024.6)

MathSport 2023 2023.7

Visual Analysis of Control Area in Badminton Doubles Using Drone Video Dataset

○Ning Ding, Kazuya Takeda, Yingjiu Bei, Keisuke Fujii

Proceedings of MathSport International 2023, pp.8–13 (2023.7)

MathSport 2023 2023.7

Prediction of Shot Type and Hit Location Based on Pose Information Using Badminton Match Videos

Tatsuya Yoshikawa*, ○Ning Ding*, Kazuya Takeda, Keisuke Fujii (* equal contribution)

Proceedings of MathSport International 2023 (2023.7)