4 papers · 1 filter
CornerPoint3D: Look at the Nearest Corner Instead of the Center
Ruixiao Zhang, Runwei Guan, Xiangyu Chen +2
3D object detection aims to predict object centers, dimensions, and rotations from LiDAR point clouds. Despite its simplicity, LiDAR captures only the near side of objects, making…
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
Ruixiao Zhang, Juheon Lee, Xiaohao Cai +1
Deep learning models such as convolutional neural networks and transformers have been widely applied to solve 3D object detection problems in the domain of autonomous driving. Whil…
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object Detection
Ruixiao Zhang, Yihong Wu, Juheon Lee +2
The performance of domain adaptation technologies has not yet reached an ideal level in the current 3D object detection field for autonomous driving, which is mainly due to signifi…
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
Juheon Lee, Xiaohao Cai, Carola-Bibian Schönlieb +1
Point clouds are popular 3D representations for real-life objects (such as in LiDAR and Kinect) due to their detailed and compact representation of surface-based geometry. Recent a…