2025
Unified Multi-Agent Trajectory Modeling with Masked Trajectory Diffusion
ICCV 2025poster
Understanding movements in multi-agent scenarios is a fundamental problem in intelligent systems. Previous research assumes complete and synchronized observations. However, real-world partial observation caused by occlusions leads to inevitable model failure, which demands a unified framework for co…