Exploring high-contrast areas context for 3D point cloud segmentation via MLP-driven Discrepancy mechanism.

Learning local contextual features for 3D point clouds semantic segmentation by attentive kernel convolution.

Class-Aware 3D Detector From Point Clouds With Partial Knowledge Diffusion and Center-Weighted IoU.

3SNet: Semi-Anchor-Free 3D Object Detector With Slice Attention and Symmetric Features Propagation.

Multi-Source Features Fusion Single Stage 3D Object Detection With Transformer.

ASCNet: 3D object detection from point cloud based on adaptive spatial context features.

Mining local geometric structure for large-scale 3D point clouds semantic segmentation.

3D Object Detection Combining Semantic and Geometric Features from Point Clouds.

MVF-CNN: Fusion of Multilevel Features for Large-Scale Point Cloud Classification.