| Location analysis of players in uefa euro 2020 and 2022 using generalized valuation of defense by estimating probabilities R Umemoto, K Tsutsui, K Fujii arXiv preprint arXiv:2212.00021, 2022 | 15 | 2022 |
| Evaluation of Team Defense Positioning by Computing Counterfactuals using StatsBomb 360 data R Umemoto, K Fujii StatsBomb Conference 2023, 2023 | 7 | 2023 |
| Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees C Yeung, R Bunker, R Umemoto, K Fujii Machine Learning 113 (10), 7541-7564, 2024 | 6 | 2024 |
| TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos A Scott, I Uchida, N Ding, R Umemoto, R Bunker, R Kobayashi, T Koyama, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Space evaluation based on pitch control using drone video in Ultimate S Iwashita, A Scott, R Umemoto, N Ding, K Fujii arXiv preprint arXiv:2409.14588, 2024 | 1 | 2024 |
| Score prediction using multiple object tracking for analyzing movements in 2-vs-2 Handball R Kobayashi, R Umemoto, K Takeda, K Fujii 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), 946-947, 2023 | 1 | 2023 |
| SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection H Qin, C Yeung, R Umemoto, K Fujii arXiv preprint arXiv:2501.09281, 2025 | | 2025 |
| Defensive team analysis in the 2022 World Cup based on the event prediction R Umemoto, K Tsutsui, K Fujii 10th MathSport International Conference, 2023 | | 2023 |
| サッカーのイベント予測確率に基づく一般化された守備評価を用いた分析 梅基陸平， 筒井和詩， 藤井慶輔 人工知能学会全国大会論文集 第 37 回 (2023), 2H6OS8b03-2H6OS8b03, 2023 | | 2023 |
| 複数スポーツの多物体追跡データセットの構築と競技間における汎用性の検証 スコットアトム， 内田郁真， 丁寧， 梅基陸平， 小林蓮， 小山孟志， 大西正輝， ... 人工知能学会全国大会論文集 第 37 回 (2023), 2H6OS8b04-2H6OS8b04, 2023 | | 2023 |