Publications

A complete list of my publications, newest first.

2026

Few-Shot Adaptation for Robust Deep Regression of Tree Parameters from ULS Forest Data Using Meta-Learning
Joshua Knights, and et al.
Under review, ISPRS Journal of Photogrammetry and Remote Sensing, 2026
WildCross: A Cross-Modal Large Scale Benchmark for Place Recognition and Metric Depth Estimation in Natural Environments
Joshua Knights, and et al.
IEEE International Conference on Robotics and Automation (ICRA), 2026
ArXiv Code Project Page

SOLVR: Submap Oriented LiDAR-Visual Re-Localisation
Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, and Stefan Leutenegger
IEEE International Conference on Robotics and Automation (ICRA), 2025
arXiv
REGRACE: A Robust and Efficient Graph-based Re-localization Algorithm using Consistency Evaluation
D. N. P. Oliveira, Joshua Knights, and et al.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
arXiv Code

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, and Peyman Moghadam
International Journal of Robotics Research (IJRR), 2024
arXiv Code Project Page
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors
Joshua Knights, and et al.
IEEE Robotics and Automation Letters (RA-L), 2024
arXiv

Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments
Joshua Knights, Kavisha Vidanapathirana, and et al.
IEEE International Conference on Robotics and Automation (ICRA), 2023
arXiv Code Project Page
Uncertainty-Aware Lidar Place Recognition in Novel Environments
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, and Dimity Miller
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
arXiv Code
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition
Milad Ramezani, Joshua Knights, and et al.
IEEE Robotics and Automation Letters (RA-L), 2023
arXiv Code

InCloud: Incremental Learning for Point Cloud Place Recognition
Joshua Knights, and et al.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
arXiv Code

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning
Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, and Peyman Moghadam
IEEE International Conference on Pattern Recognition (ICPR), 2021
arXiv Code