7 citations · 30 across the 14 of their papers we have counts for
14 papers
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…
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…
Microscopic modeling of attention-based movement behaviors
Danrui Li, Mathew Schwartz, Samuel S. Sohn +3
For transportation hubs, leveraging pedestrian flows for commercial activities presents an effective strategy for funding maintenance and infrastructure improvements. However, this…
M3Act: Learning from Synthetic Human Group Activities
Che-Jui Chang, Danrui Li, Deep Patel +7
The study of complex human interactions and group activities has become a focal point in human-centric computer vision. However, progress in related tasks is often hindered by the…
MSI: Maximize Support-Set Information for Few-Shot Segmentation
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou +4
FSS(Few-shot segmentation) aims to segment a target class using a small number of labeled images(support set). To extract information relevant to the target class, a dominant appro…