7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 1 cited
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion
Chiyu Max Jiang, Andre Cornman, Cheolho Park +3
We present MotionDiffuser, a diffusion based representation for the joint distribution of future trajectories over multiple agents. Such representation has several key advantages:…
cs.MA2022★ 7 cited
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving
Wenjie Luo, Cheolho Park, Andre Cornman +2
We propose JFP, a Joint Future Prediction model that can learn to generate accurate and consistent multi-agent future trajectories. For this task, many different methods have been…
cs.CV2022
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting
DiJia Su, Bertrand Douillard, Rami Al-Rfou +2
Behavior prediction models have proliferated in recent years, especially in the popular real-world robotics application of autonomous driving, where representing the distribution o…