Dr Sachith Seneviratne
Research Fellow in Computer Vision and Health-Thud
Faculty of Architecture, Building and Planning
45 Scholarly works
0 Projects
HIGHLIGHTS
2026
Journal article
AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models
DOI: 10.1016/j.patcog.2025.1120172026
Conference Proceedings
Flood-LDM: Generalizable Latent Diffusion Models for rapid and accurate zero-shot High-Resolution Flood Mapping
DOI: 10.1109/WACV61042.2026.007782025
Journal article
Subgrid informed neural networks for high-resolution flood mapping
DOI: 10.1016/j.jhydrol.2025.1333292025
Journal article
Physics-Informed Generative AI for High-Resolution Flood Mapping
DOI: 10.5194/egusphere-egu25-92852025
Journal article
Collecting population-representative bike-riding GPS data to understand bike-riding activity and patterns using smartphones and Bluetooth beacons
DOI: 10.1016/j.tbs.2024.1009192025
Journal article
Cycling Route Choice Preferences: A Taste Heterogeneity and Exogenous Segmentation Analysis Based on Age, Gender, Geller Typology, and E-Bike Use
DOI: 10.1016/j.tra.2025.1046792025
Journal article
Effects of city design on transport mode choice and exposure to health risks during and after a crisis: a retrospective observational analysis
DOI: 10.1016/S2542-5196(25)00088-9
RECENT SCHOLARLY WORKS
2024
Journal article
A comparison of content from across contemporary Australian population health surveys
DOI: 10.1016/j.anzjph.2024.1001522024
Journal article
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
DOI: 10.1609/aaai.v38i13.293962024
Conference Proceedings
Modelling link-level bike riding volumes in Greater Melbourne