Geoffrey Pascoe

According to our database, Geoffrey Pascoe authored at least 9 papers between 2015 and 2022.

Collaborative distances:

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

2022

Feature Query Networks: Neural Surface Description for Camera Pose Refinement.

Hugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotný, Richard A. Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset.

Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman

CoRR, 2020

2018

Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments.

Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

1 year, 1000 km: The Oxford RobotCar dataset.

Will Maddern, Geoffrey Pascoe, Chris Linegar, Paul Newman

Int. J. Robotics Res., 2017

NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance.

Geoffrey Pascoe, Will Maddern, Michael Tanner, Pedro Pinies, Paul Newman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

FARLAP: Fast robust localisation using appearance priors.

Geoffrey Pascoe, William P. Maddern, Alexander D. Stewart, Paul Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Leveraging experience for large-scale LIDAR localisation in changing cities.

William P. Maddern, Geoffrey Pascoe, Paul Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments.

Geoffrey Pascoe, William P. Maddern, Paul Newman

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Robust Direct Visual Localisation using Normalised Information Distance.

Geoffrey Pascoe, William P. Maddern, Paul Newman

Proceedings of the British Machine Vision Conference 2015, 2015