About Me

I am a Ph.D. student at the Queensland University of Technology, advised by Prof. Sridha Sridharan and Prof. Clinton Fookes. My project is in collaboration with CSIRO Robotics, advised by Dr. Peyman Moghadam.
During my Ph.D., I interned (twice) at The Australian Institute for Machine Learning (AIML), advised by Prof. Simon Lucey.
My research interests lie in the general area of robotic vision and scene understanding. My Ph.D. work mainly focuses on utilizing geometric and temporal priors that are abundant in the context of mobile robotics.

News

[2024 Jan] My RA-L paper (Spectral Geometric Verification) has been selected for oral presentation at ICRA 2024.
[2023 Oct] Paper at 3DV 2024 (oral - top 6.6%): “Multi-Body Neural Scene Flow”. paper | code Star.
[2023 Feb] Paper at RA-L: “Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization”. paper | code Star.
[2023 Jan] Paper at ICRA 2023: “Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments”. paper code Star.
[2022 May] Won 2nd place in the CMU AirLab General Place Recognition Competition at ICRA 2022. Invited talk: video.
[2022 Feb] Paper at ICRA 2022: “LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition”. paper | video | code Star.
[2021 Jun] Paper at ICRA 2021: “Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling”. paper | video | code Star.

ICRA 2022 - 2nd place in the General Place Recognition Competition organized by AirLab, Carnegie Mellon University. Invited talk: video.
CSIRO Data61 PhD Top-Up Scholarship (2020-2023).
High Distinction - Sri Lanka Mathematical Olympiad 2012.