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Journal Articles
- 2024
[j2]Joshua Knights
, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors. IEEE Robotics Autom. Lett. 9(1): 915-922 (2024)- [j1]Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. 9(2): 1182-1189 (2024)
Conference and Workshop Papers
- 2023
- [c4]Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. ICRA 2023: 11322-11328 - [c3]Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS 2023: 3366-3373 - 2022
- [c2]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS 2022: 8559-8566 - 2020
- [c1]Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam:
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. ICPR 2020: 8914-8921
Informal and Other Publications
- 2024
- [i9]Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, Stefan Leutenegger:
SOLVR: Submap Oriented LiDAR-Visual Re-Localisation. CoRR abs/2409.10247 (2024) - 2023
- [i8]Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors. CoRR abs/2308.04638 (2023) - [i7]Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR abs/2309.00168 (2023) - [i6]Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments. CoRR abs/2312.15364 (2023) - 2022
- [i5]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR abs/2203.00807 (2022) - [i4]Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR abs/2210.01361 (2022) - [i3]Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. CoRR abs/2211.12732 (2022) - 2021
- [i2]Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Point Cloud Segmentation Using Sparse Temporal Local Attention. CoRR abs/2112.00289 (2021) - 2020
- [i1]Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam:
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. CoRR abs/2004.02753 (2020)
Coauthor Index
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