2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction
Gang Qiao, Kaidong Hu, Seonghyeon Moon +4
Learning-based approaches to modeling crowd motion have become increasingly successful but require training and evaluation on large datasets, coupled with complex model selection a…
cs.MA2019
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation
Gang Qiao, Honglu Zhou, Mubbasir Kapadia +2
Crowd simulation, the study of the movement of multiple agents in complex environments, presents a unique application domain for machine learning. One challenge in crowd simulation…
cs.MA2017
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation
Gang Qiao, Sejong Yoon, Mubbasir Kapadia +1
Trajectory interpolation, the process of filling-in the gaps and removing noise from observed agent trajectories, is an essential task for the motion inference in multi-agent setti…