Development of a Lightweight, Low-cost, Self-balancing Personal Mobility Vehicle for Autonomous Indoor Navigation. - Dilshan Ranasinghe; Kavisha Vidanapathirana; Tilan Wickramarachchi; Kavindie Katuwandeniya; Peshala Jayasekara; Shimon Ajisaka (AIM, 2019)

Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. - Kavisha Vidanapathirana; Peyman Moghadam; Ben Harwood; Muming Zhao; Sridha Sridharan; Clinton Fookes (ICRA, 2021)

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. - Kavisha Vidanapathirana; Milad Ramezani; Peyman Moghadam; Sridha Sridharan; Clinton Fookes (ICRA, 2022)

Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. - Joshua Knights; Kavisha Vidanapathirana; Milad Ramezani; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (ICRA, 2023)

Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. - Kavisha Vidanapathirana; Peyman Moghadam; Sridha Sridharan; Clinton Fookes (IEEE Robotics Autom. Lett., 2023)

Multi-Body Neural Scene Flow. - Kavisha Vidanapathirana; Shin-Fang Ch'ng; Xueqian Li; Simon Lucey (3DV, 2024)

WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. - Kavisha Vidanapathirana; Joshua Knights; Stephen Hausler; Mark Cox; Milad Ramezani; Jason Jooste; Ethan Griffiths; Shaheer Mohamed; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (Int. J. Robotics Res., 2025)