activity
20202022
most citedA Thickness Sensitive Vessel Extraction Framework for Retinal and Conjunctival Vascular Tortuosity Analysis

3 citations · 3 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2022

SAR Despeckling Using Overcomplete Convolutional Networks

Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu +1

Synthetic Aperture Radar (SAR) despeckling is an important problem in remote sensing as speckle degrades SAR images, affecting downstream tasks like detection and segmentation. Rec…

cs.CV2022

Transformer-based SAR Image Despeckling

Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu +1

Synthetic Aperture Radar (SAR) images are usually degraded by a multiplicative noise known as speckle which makes processing and interpretation of SAR images difficult. In this pap…

eess.IV20213 cited

A Thickness Sensitive Vessel Extraction Framework for Retinal and Conjunctival Vascular Tortuosity Analysis

Ashwin De Silva, Malsha V. Perera, Navodini Wijethilake +3

Systemic diseases such as diabetes, hypertension, atherosclerosis are among the leading causes of annual human mortality rate. It is suggested that retinal and conjunctival vascula…

cs.LG2020

A Joint Convolutional and Spatial Quad-Directional LSTM Network for Phase Unwrapping

Malsha V. Perera, Ashwin De Silva

Phase unwrapping is a classical ill-posed problem which aims to recover the true phase from wrapped phase. In this paper, we introduce a novel Convolutional Neural Network (CNN) th…

cs.ET2020

Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms

Asma M. Naim, Kithmin Wickramasinghe, Ashwin De Silva +3

Surface electromyography (sEMG) is a popular bio-signal used for controlling prostheses and finger gesture recognition mechanisms. Myoelectric prostheses are costly, and most comme…

eess.SP2020

Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel sEMG Signals

Ashwin De Silva, Malsha V. Perera, Kithmin Wickramasinghe +3

Accurate and real-time hand gesture recognition is essential for controlling advanced hand prostheses. Surface Electromyography (sEMG) signals obtained from the forearm are widely…