6 citations · 16 across the 7 of their papers we have counts for
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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…