collaborators

7 papers

cs.CV2026

Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification

Nichula Wasalathilaka, Abhijit Das, Imran Razzak +1

Medical image re-identification (MedReID) enables longitudinal patient linkage but remains vulnerable to shortcut learning and often produces decisions that clinicians cannot audit…

cs.CV2026

PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

Abhijit Das, Nichula Wasalathilaka, Yifan Lu +4

Medical vision-language models (VLMs) enable zero-shot clinical image classification, yet reliably detecting out-of-distribution (OOD) inputs at deployment remains an open problem.…

cs.GR2026

RespGeomLib: A Reproducible Parametric Engine for Generating Analysis-Ready Human Airway Lumen Geometry

Nichula Wasalathilaka, Parakrama Ekanayake, Roshan Godaliyadda

CT-derived airway models support pulmonary morphometry and airflow simulation, but are often limited by distal scan resolution and the need for substantial cleanup near bifurcation…

cs.CV2026

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…

eess.IV2026

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…

eess.IV2026

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-…