activity
20202025
most citedVision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study

6 citations · 14 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2025★ 3 cited

Smart Glasses for CVI: Co-Designing Extended Reality Solutions to Support Environmental Perception by People with Cerebral Visual Impairment

Bhanuka Gamage, Nicola McDowell, Dijana Kovacic +5

Cerebral Visual Impairment (CVI) is the set to be the leading cause of vision impairment, yet remains underrepresented in assistive technology research. Unlike ocular conditions, C…

cs.HC2025★ 6 cited

Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study

Bhanuka Gamage, Leona Holloway, Nicola McDowell +4

Over the past decade, considerable research has investigated Vision-Based Assistive Technologies (VBAT) to support people with vision impairments to understand and interact with th…

cs.HC2025★ 3 cited

Broadening Our View: Assistive Technology for Cerebral Visual Impairment

Bhanuka Gamage, Leona Holloway, Nicola McDowell +4

Over the past decade, considerable research has been directed towards assistive technologies to support people with vision impairments using machine learning, computer vision, imag…

cs.HC2025

What do Blind and Low-Vision People Really Want from Assistive Smart Devices? Comparison of the Literature with a Focus Study

Bhanuka Gamage, Thanh-Toan Do, Nicholas Seow Chiang Price +2

Over the last decade there has been considerable research into how artificial intelligence (AI), specifically computer vision, can assist people who are blind or have low-vision (B…

cs.LG2025

Baitradar: A Multi-Model Clickbait Detection Algorithm Using Deep Learning

Bhanuka Gamage, Adnan Labib, Aisha Joomun +2

Following the rising popularity of YouTube, there is an emerging problem on this platform called clickbait, which provokes users to click on videos using attractive titles and thum…

cs.CV2021

An embarrassingly simple comparison of machine learning algorithms for indoor scene classification

Bhanuka Manesha Samarasekara Vitharana Gamage

With the emergence of autonomous indoor robots, the computer vision task of indoor scene recognition has gained the spotlight. Indoor scene recognition is a challenging problem in…

cs.CV2021★ 1 cited

Improved RAMEN: Towards Domain Generalization for Visual Question Answering

Bhanuka Manesha Samarasekara Vitharana Gamage, Lim Chern Hong

Currently nearing human-level performance, Visual Question Answering (VQA) is an emerging area in artificial intelligence. Established as a multi-disciplinary field in machine lear…

cs.DC2020★ 1 cited

Simulation and Analysis of Distributed Wireless Sensor Network using Message Passing Interface

Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran

Wireless Sensor Networks (WSN) are used by many industries from environment monitoring systems to NASA's space exploration programs, as it has allowed society to monitor and preven…

cs.DC2020

Efficient Generation of Mandelbrot Set using Message Passing Interface

Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran

With the increasing need for safer and reliable systems, Mandelbrot Set's use in the encryption world is evident to everyone. This document aims to provide an efficient method to g…