Search Results for author:
Found 4 papers, 1 papers with code
RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union
Benefiting from the dense representation of the range image, RangeIoUDet is entirely constructed based on 2D convolution, making it possible to have a fast inference speed.
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
Experimental results on the KITTI dataset demonstrate significant improvement in filtering false positive over the approach using only point cloud data.
RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation
We present RangeRCNN, a novel and effective 3D object detection framework based on the range image representation.
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
As a result, our framework can output both the semantic prediction and the instance prediction.
3D Instance Segmentation
3D Semantic Instance Segmentation
+2
