Joshua Knights

20 papers A* 2A 3B 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
WildCross: A Cross-Modal Large Scale Benchmark for Place Recognition and Metric Depth Estimation in Natural Environments.
CoRR
Joshua Knights, Joseph Reid, Kaushik Roy, David Hall, Mark Cox, Peyman Moghadam
2025 A conf
REGRACE: A Robust and Efficient Graph-based Re-localization Algorithm using Consistency Evaluation.
IROS
Débora N. P. Oliveira, Joshua Knights, Sebastián Barbas Laina, Simon Boche, Wolfram Burgard, Stefan Leutenegger
2025 J jnl
REGRACE: A Robust and Efficient Graph-based Re-localization Algorithm using Consistency Evaluation.
CoRR
Débora N. P. Oliveira, Joshua Knights, Sebastián Barbas Laina, Simon Boche, Wolfram Burgard, Stefan Leutenegger
2025 A* conf
SOLVR: Submap Oriented LiDAR-Visual Re-Localisation.
ICRA
Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, Stefan Leutenegger
2025 J jnl
WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments.
Int. J. Robotics Res.
Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024 J jnl
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors.
IEEE Robotics Autom. Lett.
Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024 J jnl
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.
IEEE Robotics Autom. Lett.
Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
2024 J jnl
SOLVR: Submap Oriented LiDAR-Visual Re-Localisation.
CoRR
Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, Stefan Leutenegger
2023 J jnl
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors.
CoRR
Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2023 J jnl
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.
CoRR
Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
2023 A conf
Uncertainty-Aware Lidar Place Recognition in Novel Environments.
IROS
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
2023 A* conf
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments.
ICRA
Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2023 J jnl
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments.
CoRR
Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2022 A conf
InCloud: Incremental Learning for Point Cloud Place Recognition.
IROS
Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
2022 J jnl
InCloud: Incremental Learning for Point Cloud Place Recognition.
CoRR
Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
2022 J jnl
Uncertainty-Aware Lidar Place Recognition in Novel Environments.
CoRR
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
2022 J jnl
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments.
CoRR
Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2021 J jnl
Point Cloud Segmentation Using Sparse Temporal Local Attention.
CoRR
Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
2020 B conf
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.
ICPR
Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam
2020 J jnl
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.
CoRR
Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam