2 citations · 2 across the 3 of their papers we have counts for
3 papers
Scaling Self-Play for End-to-End Driving
Luke Rowe, Roger Girgis, Rodrigue de Schaetzen +6
End-to-end autonomous driving models are typically trained on offline human-demonstration datasets that provide limited state coverage and often no closed-loop feedback, making the…
Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization
Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He +2
In recent years, much progress has been made in LiDAR-based 3D object detection mainly due to advances in detector architecture designs and availability of large-scale LiDAR datase…
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training
Mrigank Rochan, Xingxin Chen, Alaap Grandhi +2
We consider the problem of domain adaptation in LiDAR-based 3D object detection. Towards this, we propose a simple yet effective training strategy called Gradual Batch Alternation…