GitHub

PointNet meets Self-Attention Graph Pooling: A Synergistic Approach to Point Cloud Classification

This research project explores point cloud classification using a combination of PointNet and Self-Attention Graph Pooling architectures. Four variations of architectures were implemented and trained ...
GitHub

GitHub - srushtihippargi/PointNet: PointNet-based Semantic Segmentation Network

This capability is especially valuable in applications such as autonomous driving, where the model must accurately perceive and classify objects in diverse and dynamic environments. In summary, the ...
IEEE

PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet

Abstract: PointNet has revolutionized how we think about representing point clouds. For classification and segmentation tasks, the approach and its subsequent variants/extensions are considered ...
IEEE

Physics-Informed Neural Network Integrating PointNet-Based Adaptive Refinement for Investigating Crack Propagation in Industrial Applications

Abstract: Crack is one of the critical factors that degrade the performance of machinery manufacturing equipment. Recently, physics-informed neural networks (PINNs) have received attention due to ...