11 citations · 22 across the 23 of their papers we have counts for
26 papers
ChangeT: Evaluating Vision Test-Time Training for Remote Sensing Change Detection
Sharukshan Niranjan, Oshadha Samarakoon, Nichula Wasalathilaka +3
Bitemporal remote sensing change detection requires representations that preserve spatial detail while capturing contextual information relevant to changes between acquisitions. Vi…
Non-Destructive Quantification of Urea Adulteration in Bovine Milk Using Transmittance Multispectral Imaging
Sharukshan Niranjan, Iresha Ranaweera, Tharindu Chandrarathne +5
Adulteration of bovine milk using urea remains a major food quality and health concern, motivating the development of rapid and quantitative screening tools. Conventional approache…
A Synchronized Multi-IMU Wearable System for Tracking of Joint-Angles in Sports Motion Analysis With Reference-Based Validation and Dynamic Task Characterization
Thevindu Samarasekera, Praveen Rathnayaka, Sachintha Adhikari +7
Reliable joint-angle measurement outside laboratory environments is important for posture assessment and technique analysis in sports and rehabilitation. Yet, wearable IMU systems,…
A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting
Oshadha Samarakoon, Dushan Herath, Ishara Ranmandala +4
Sky-image irradiance studies often compare forecasting systems in which the image encoder, temporal model, fusion block, target definition, and training recipe all change together.…
Structure over Depth: A Single-Block Spatio-Temporal Transformer for Multi-Entity Reasoning
Narthana Sivalingam, Santhirarajah Sivasthigan, Buddhi Wijenayake +3
Modeling multi-entity temporal data requires capturing dependencies across entities, time, and their interactions. Transformer-based approaches perform well but often rely on deep…
MambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement
Dineth Perera, Thaariq Firdous, Oshadha Samarakoon +3
Binary change detection in remote sensing requires both complete changed-region localization and accurate boundary delineation. We present MambaRefine-CD, a region-boundary tempora…
A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation
Nichula Wasalathilaka, Dineth Perera, Oshadha Samarakoon +4
Visual state-space models (SSMs) are increasingly promoted as efficient alternatives to Vision Transformers, yet their practical advantages remain unclear under fair comparison bec…
Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation
Buddhi Wijenayake, Nichula Wasalathilake, Roshan Godaliyadda +3
Long-tailed class imbalance remains a fundamental obstacle in semantic segmentation of high-resolution remote-sensing imagery, where dominant classes shape learned representations…
PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19
Buddhi Wijenayake, Athulya Ratnayake, Lelumi Edirisinghe +8
Understanding how population age structure shapes COVID-19 burden is crucial for pandemic preparedness, yet common summary measures such as median age ignore key distributional fea…
Preprocessing Algorithm Leveraging Geometric Modeling for Scale Correction in Hyperspectral Images for Improved Unmixing Performance
Praveen Sumanasekara, Athulya Ratnayake, Buddhi Wijenayake +4
Spectral variability significantly impacts the accuracy and convergence of hyperspectral unmixing algorithms. Many methods address complex spectral variability; yet large-scale dis…
Mamba-FCS: Joint Spatio- Frequency Feature Fusion, Change-Guided Attention, and SeK Loss for Enhanced Semantic Change Detection in Remote Sensing
Buddhi Wijenayake, Athulya Ratnayake, Praveen Sumanasekara +4
Semantic Change Detection (SCD) from remote sensing imagery requires models balancing extensive spatial context, computational efficiency, and sensitivity to class-imbalanced land-…
Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection
Buddhi Wijenayake, Athulya Ratnayake, Praveen Sumanasekara +5
Remote sensing change detection is vital for monitoring environmental and urban transformations but faces challenges like manual feature extraction and sensitivity to noise. Tradit…
COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
Pandula Thennakoon, Avishka Ranasinghe, Mario De Silva +4
Implicit neural representations (INRs) are a powerful paradigm for modeling data, offering a continuous alternative to discrete signal representations. Their ability to compactly e…
AVSim -- Realistic Simulation Framework for Airborne and Vector-Borne Disease Dynamics
Pandula Thennakoon, Mario De Silva, M. Mahesha Viduranga +8
Computational disease modeling plays a crucial role in understanding and controlling the transmission of infectious diseases. While agent-based models (ABMs) provide detailed insig…
The Role of Social Interactions in Mitigating Psychological Distress During the COVID-19 Pandemic: A Study in Sri Lanka
Isuru Thilakasiri, Tharaka Fonseka, Isuri Mapa +6
Massive changes in many aspects related to social groups of different socioeconomic backgrounds were caused by the COVID-19 pandemic and as a result, the overall state of mental he…
Devising PoPStat: A Metric Bridging Population Pyramids with Global Disease Mortality
Tharaka Fonseka, Buddhi Wijenayake, Athulya Ratnayake +7
Understanding the relationship between population dynamics and disease-specific mortality is central to evidence-based health policy. This study introduces two novel metrics, PoPDi…
Impact of Shoe Parameters on Gait Using Wearables
Nadeera Meghapathirana, Oshada Rathnayake, Thisali S Rathnayake +3
The study of biomechanics during locomotion provides valuable insights into the effects of varying conditions on specific movement patterns. This research focuses on examining the…
Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport
Mahela Pandukabhaya, Tharaka Fonseka, Madhumini Kulathunge +4
Mastering psychomotor skills, such as those essential in sports, rehabilitation, and professional training, often requires a precise understanding of motion patterns and performanc…
I-Diff: Structural Regularization for High-Fidelity Diffusion Models
Shakthi Perera, Dilum Fernando, H. L. P. Malshan +5
Denoising Diffusion Probabilistic Models (DDPMs) have significantly advanced generative AI, achieving impressive results in high-quality image and data generation. However, enhanci…
Holistic Interpretation of Public Scenes Using Computer Vision and Temporal Graphs to Identify Social Distancing Violations
Gihan Jayatilaka, Jameel Hassan, Suren Sritharan +7
The COVID-19 pandemic has caused an unprecedented global public health crisis. Given its inherent nature, social distancing measures are proposed as the primary strategies to curb…
Hands Off: A Handshake Interaction Detection and Localization Model for COVID-19 Threat Control
A. S. Jameel Hassan, Suren Sritharan, Gihan Jayatilaka +4
The COVID-19 outbreak has affected millions of people across the globe and is continuing to spread at a drastic scale. Out of the numerous steps taken to control the spread of the…
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…
An Optical physics inspired CNN approach for intrinsic image decomposition
Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan +4
Intrinsic Image Decomposition is an open problem of generating the constituents of an image. Generating reflectance and shading from a single image is a challenging task specifical…