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cs.CV2026
Unified Trajectory and 3D Pose Forecasting for Multi-Agent Sports Analysis
Marc Peral, Guillem Capellera, Luis Ferraz +4
Forecasting future human motion requires jointly reasoning about an agent's global trajectory and 3D body pose, which are tightly coupled, particularly in team sports where multipl…
cs.LG2026★ 1 cited
Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling
Guillem Capellera, Antonio Rubio, Luis Ferraz +1
Multi-agent trajectory modeling traditionally focuses on forecasting, often neglecting more general tasks like trajectory completion, which is essential for real-world applications…