TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports
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Abstract (arXiv)
Understanding trajectories in multi-agent scenarios requires addressing various tasks, including predicting future movements, imputing missing observations, inferring the status of unseen agents, and classifying different global states. Traditional data-driven approaches often handle these tasks separately with specialized models. We introduce TranSPORTmer, a unified transformer-based framework capable of addressing all these tasks, showcasing its application to the intricate dynamics of multi-agent sports scenarios like soccer and basketball. Using Set Attention Blocks, TranSPORTmer effectively captures temporal dynamics and social interactions in an equivariant manner. The model's tasks are guided by an input mask that conceals missing or yet-to-be-predicted observations. Additionally, we introduce a CLS extra agent to classify states along soccer trajectories, including passes, possessions, uncontrolled states, and out-of-play intervals, contributing to an enhancement in modeling trajectories. Evaluations on soccer and basketball datasets show that TranSPORTmer outperforms state-of-the-art task-specific models in player forecasting, player forecasting-imputation, ball inference, and ball imputation. https://youtu.be/8VtSRm8oGoE
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 52 of its 76 references that are in the map. First posted on arXiv 23 Oct 2024.
Builds on
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Citing papers per year: 2025: 4; 2026: 7.
11 papers.
- 2025Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modelingcited by 15
- 2025JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generationcited by 5
- 2026Heteroscedastic Diffusion for Multi-Agent Trajectory Modelingcited by 3
- 2025Multi-Modal Soccer Scene Analysis with Masked Pre-Trainingcited by 1
- 2026Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Footballcited by 1
- 2026Training-Free Off-Screen Player Imputation for Broadcast-Based Spatial Football Analyticscited by 1
- 2026Space-Creating versus Dead Possession: An Off-Ball Possession-Quality Index for Broadcast Footballcited by 1
- 2025CourtMotion: Learning Event-Driven Motion Representations from Skeletal Data for Basketballcited by 0
- 2026PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectoriescited by 0
- 2026Monte Carlo Pass Search: Using Trajectory Generation for 3D Counterfactual Pass Evaluation in Footballcited by 0
- 2026How Much Velocity Does Off-Ball Space Value Need? A Broadcast-Viewport Benchmarkcited by 0
- 2026How Much Velocity Does Off-Ball Space Value Need? A Broadcast-Viewport Benchmark9 Sep 2026
- 2026Space-Creating versus Dead Possession: An Off-Ball Possession-Quality Index for Broadcast Football10 Aug 2026
- 2026Training-Free Off-Screen Player Imputation for Broadcast-Based Spatial Football Analytics13 Jul 2026
- 2026Monte Carlo Pass Search: Using Trajectory Generation for 3D Counterfactual Pass Evaluation in Football9 Jun 2026
- 2026Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling11 May 2026
- 2026Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football16 Mar 2026
- 2026PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories12 Feb 2026
- 2025Multi-Modal Soccer Scene Analysis with Masked Pre-Training22 Dec 2025
- 2025CourtMotion: Learning Event-Driven Motion Representations from Skeletal Data for Basketball1 Dec 2025
- 2025JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation26 Sep 2025
- 2025Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling24 Mar 2025