7 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
JACoP: Joint Alignment for Compliant Multi-Agent Prediction
Qingze Liu, Alen Mrdovic, Danrui Li +3
Stochastic Human Trajectory Prediction (HTP) using generative modeling has emerged as a significant area of research. Although state-of-the-art models excel in optimizing the accur…
ECTraj: Enhanced Consistency Training for Multi-Agent Trajectory Prediction
Alen Mrdovic, Qingze, Liu +6
Diffusion models for multi-agent trajectory prediction are limited by iterative denoising, which causes inference latency that hinders their use in time-critical settings like auto…
CASIM: Composite Aware Semantic Injection for Text to Motion Generation
Che-Jui Chang, Qingze Tony Liu, Honglu Zhou +2
Recent advances in generative modeling and tokenization have driven significant progress in text-to-motion generation, leading to enhanced quality and realism in generated motions.…
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction
Qingze, Liu, Danrui Li +4
Accurate prediction of human or vehicle trajectories with good diversity that captures their stochastic nature is an essential task for many applications. However, many trajectory…