Aiden Durrant

According to our database, Aiden Durrant authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks.

Athinoulla Konstantinou, Georgios Leontidis, Mamatha Thota, Aiden Durrant

CoRR, June, 2025

Capsule Network Projectors are Equivariant and Invariant Learners.

Miles Everett, Aiden Durrant, Mingjun Zhong, Georgios Leontidis

Trans. Mach. Learn. Res., 2025

Exploring Segment Anything Foundation Models for Out of Domain Crevasse Drone Image Segmentation.

Steven Wallace, Aiden Durrant, William David Harcourt, Richard Hann, Georgios Leontidis

Proceedings of the Northern Lights Deep Learning Conference, 2025

2024

Monkey Transfer Learning Can Improve Human Pose Estimation.

Bradley Scott, Clarisse F. de Vries, Aiden Durrant, Nir Oren, Edward K. Chadwick, Dimitra Blana

CoRR, 2024

Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning.

Andy Li, Aiden Durrant, Milan Markovic, Lu Yin, Georgios Leontidis

CoRR, 2024

2023

S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning.

Alzbeta Manová, Aiden Durrant, Georgios Leontidis

CoRR, 2023

HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes.

Aiden Durrant, Georgios Leontidis

CoRR, 2023

2022

Hyperspherically regularized networks for self-supervision.

Aiden Durrant, Georgios Leontidis

Image Vis. Comput., 2022

The role of cross-silo federated learning in facilitating data sharing in the agri-food sector.

Aiden Durrant, Milan Markovic, David Matthews, David May, Jessica A. Enright, Georgios Leontidis

Comput. Electron. Agric., 2022

2021

Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability.

Aiden Durrant, Georgios Leontidis

CoRR, 2021