Joshua Knights

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Incremental Learning

Temporally Coherent

Top Venues

IEEE Robotics Autom. Lett.

Publications

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) (2024)
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) (2024)
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS (2023)
Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors. CoRR (2023)
Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR (2023)
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)
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 (2023)
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR (2022)
Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR (2022)
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 (2022)
Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS (2022)
Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
Point Cloud Segmentation Using Sparse Temporal Local Attention. CoRR (2021)
Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. ICPR (2020)
Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. CoRR (2020)