6 papers
GenMFSR: Generative Multi-Frame Image Restoration and Super-Resolution
Harshana Weligampola, Joshua Peter Ebenezer, Weidi Liu +4
Camera pipelines receive raw Bayer-format frames that need to be denoised, demosaiced, and often super-resolved. Multiple frames are captured to utilize natural hand tremors and en…
Diffusion Algorithm for Metalens Optical Aberration Correction
Harshana Weligampola, Yuanrui Chen, Weiheng Tang +2
Metalenses offer a path toward creating ultra-thin optical systems, but they inherently suffer from severe, spatially varying optical aberrations, especially chromatic aberration,…
Direct Kernel Optimization: Efficient Design for Opto-Electronic Convolutional Neural Networks
Ali Almuallem, Harshana Weligampola, Abhiram Gnanasambandam +5
Hybrid opto-electronic neural networks combine optical front-ends with electronic back-ends to perform vision tasks, but joint end-to-end (E2E) optimization of optical and electron…
A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions
Umar Marikkar, Harshana Weligampola, Rumali Perera +9
COVID-19 continues to cause a significant impact on public health. To minimize this impact, policy makers undertake containment measures that however, when carried out disproportio…
Spatial analysis of COVID-19 and socio-economic factors in Sri Lanka
Rumali Perera, Harshana Weligampola, Umar Marikkar +6
The spread of the global COVID-19 pandemic affected Sri Lanka similar to how it affected other countries across the globe. The Sri Lankan government took many preventive measures t…
On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment
Suren Sritharan, Harshana Weligampola, Haris Gacanin
This paper studies practical limitations of learning methods for resource management in non-stationary radio environment. We propose two learning models carefully designed to suppo…