False negatives (FN) in 3D object detection, e.g., missing predictions
o...
Neural Radiance Fields (NeRF) has been wildly applied to various tasks f...
In this work, we present a unified framework for multi-modality 3D objec...
Camera-based 3D object detectors are welcome due to their wider deployme...
The 3D visual grounding task aims to ground a natural language descripti...
LiDAR and camera are two important sensors for 3D object detection in
au...
Accurate localization is of crucial importance for autonomous driving ta...
Autonomous valet parking is a specific application for autonomous vehicl...
Most state-of-the-art 3D object detectors heavily rely on LiDAR sensors ...
We present a unified, efficient and effective framework for point-cloud ...
A safe and robust on-road navigation system is a crucial component of
ac...
The fundamental problems of pricing high-dimensional path-dependent opti...
The topic of multi-person pose estimation has been largely improved rece...
To date, most studies on spam have focused only on the spamming phase of...
We introduce a recursive adaptive group lasso algorithm for real-time
pe...
We consider adaptive system identification problems with convex constrai...