13 citations · 40 across the 8 of their papers we have counts for
8 papers
SC3D: Label-Efficient Outdoor 3D Object Detection via Single Click Annotation
Qiming Xia, Hongwei Lin, Wei Ye +4
LiDAR-based outdoor 3D object detection has received widespread attention. However, training 3D detectors from the LiDAR point cloud typically relies on expensive bounding box anno…
Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
Hai Wu, Shijia Zhao, Xun Huang +3
The prevalent approaches of unsupervised 3D object detection follow cluster-based pseudo-label generation and iterative self-training processes. However, the challenge arises due t…
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
Xun Huang, Hai Wu, Xin Li +3
LiDAR-based 3D object detection models have traditionally struggled under rainy conditions due to the degraded and noisy scanning signals. Previous research has attempted to addres…
Virtual Sparse Convolution for Multimodal 3D Object Detection
Hai Wu, Chenglu Wen, Shaoshuai Shi +2
Recently, virtual/pseudo-point-based 3D object detection that seamlessly fuses RGB images and LiDAR data by depth completion has gained great attention. However, virtual points gen…
Transformation-Equivariant 3D Object Detection for Autonomous Driving
Hai Wu, Chenglu Wen, Wei Li +3
3D object detection received increasing attention in autonomous driving recently. Objects in 3D scenes are distributed with diverse orientations. Ordinary detectors do not explicit…
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han, Chenglu Wen, Cheng Wang +2
Fully exploring correlation among points in point clouds is essential for their feature modeling. This paper presents a novel end-to-end graph model, named Point2Node, to represent…