We present SHIFT3D, a differentiable pipeline for generating 3D shapes t...
We propose a novel-view augmentation (NOVA) strategy to train NeRFs for
...
Balancing efficiency and accuracy is a long-standing problem for deployi...
We propose Occupancy Flow Fields, a new representation for motion foreca...
High Definition (HD) maps are maps with precise definitions of road lane...
As autonomous driving systems mature, motion forecasting has received
in...
To safely deploy autonomous vehicles, onboard perception systems must wo...
The vast majority of deep models use multiple gradient signals, typicall...
Predicting the future behavior of moving agents is essential for real wo...
Autonomous driving system development is critically dependent on the abi...
The research community has increasing interest in autonomous driving
res...
The research community has increasing interest in autonomous driving
res...
Predicting human behavior is a difficult and crucial task required for m...
LiDAR sensor systems provide high resolution spatial information about t...
Recent advances in single-frame object detection and segmentation techni...
Many of the recent successful methods for video object segmentation (VOS...