MOSAIC: Masked Optimisation with Selective Attention for Image Reconstruction

no code implementations • 1 Jun 2023 • Pamuditha Somarathne, Tharindu Wickremasinghe, Amashi Niwarthana, A. Thieshanthan, Chamira U. S. Edussooriya, Dushan N. Wadduwage

To this end, we propose MOSAIC, a novel compressive sensing framework to reconstruct images given any random selection of measurements, sampled using a fixed basis.

Compressive Sensing Image Reconstruction

HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing

no code implementations • 5 Jun 2022 • Arulmolivarman Thieshanthan, Amashi Niwarthana, Pamuditha Somarathne, Tharindu Wickremasinghe, Ranga Rodrigo

Inspired by recent improvements in point cloud processing for autonomous navigation, we focus on using hierarchical graph neural networks for processing and feature learning over large-scale outdoor LiDAR point clouds.

Autonomous Navigation Semantic Segmentation