Joshua Knights

According to our database, Joshua Knights authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam

IEEE Robotics Autom. Lett., February, 2024

GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors.

Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

IEEE Robotics Autom. Lett., January, 2024

2023

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

CoRR, 2023

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam

CoRR, 2023

GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors.

Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2023

Uncertainty-Aware Lidar Place Recognition in Novel Environments.

Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller

IROS, 2023

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

InCloud: Incremental Learning for Point Cloud Place Recognition.

Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Point Cloud Segmentation Using Sparse Temporal Local Attention.

Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan

CoRR, 2021

2020

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.

Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam

CoRR, 2020

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.

Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam

Proceedings of the 25th International Conference on Pattern Recognition, 2020