Nicholas A. Lord

According to our database, Nicholas A. Lord authored at least 13 papers between 2007 and 2023.

Collaborative distances:

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

2023

Attacking Motion Planners Using Adversarial Perception Errors.

Jonathan Sadeghi, Nicholas A. Lord, John Redford, Romain Mueller

CoRR, 2023

2022

Attacking deep networks with surrogate-based adversarial black-box methods is easy.

Nicholas A. Lord, Romain Müller, Luca Bertinetto

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade.

Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Victor Adrian Prisacariu, Luigi Di Stefano, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks.

Luca Bertinetto, Romain Müller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation.

Stuart Golodetz, Tommaso Cavallari, Nicholas A. Lord, Victor Adrian Prisacariu, David William Murray, Philip H. S. Torr

IEEE Trans. Vis. Comput. Graph., 2018

With Friends Like These, Who Needs Adversaries?

Saumya Jetley, Nicholas A. Lord, Philip H. S. Torr

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Live Collaborative Large-Scale Dense 3D Reconstruction Using Consumer-Grade Hardware.

Stuart Golodetz, Tommaso Cavallari, Nicholas A. Lord, Victor Adrian Prisacariu, David William Murray, Philip H. S. Torr

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018

Learn to Pay Attention.

Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation.

Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi Di Stefano, Philip H. S. Torr

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

Probabilistic Object Reconstruction with Online Global Model Correction.

Jack Hunt, Victor Adrian Prisacariu, Stuart Golodetz, Tommaso Cavallari, Nicholas A. Lord, Philip H. S. Torr

Proceedings of the 2017 International Conference on 3D Vision, 2017

2007

Simultaneous Registration and Parcellation of Bilateral Hippocampal Surface Pairs for Local Asymmetry Quantification.

Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri, Stephan J. Eisenschenk

IEEE Trans. Medical Imaging, 2007

A Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces.

Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri, Stephan J. Eisenschenk

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images.

Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007