Kavisha Vidanapathirana

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 the Robotics and Autonomous Systems Group, CSIRO Data61 (RASG), advised by Dr. Peyman Moghadam.
During my Ph.D., I interned at The Australian Institute for Machine Learning (AIML), working with Prof. Simon Lucey.
My research interests lie in the general area of robotic vision and scene understanding. The work during my PhD has mainly focussed on the task of localization.

[2023 Oct] Paper at 3DV 2024 (oral): “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).