118 citations · 121 across the 13 of their papers we have counts for
6 papers · 1 filter
Group-Equivariant Poincaré Convolutional Networks
Aiden Durrant, Rahul Baburajan, Georgios Leontidis
While recent methods like that of the Poincaré ResNet have demonstrated the ability to learning visual representations directly in hyperbolic space, their optimisation remains a ch…
CrevasseSeg: A Label-Efficient UAV Crevasse Segmentation Framework
Steven Wallace, William D. Harcourt, Richard Hann +3
Crevasse mapping from uncrewed aerial vehicle (UAV) imagery matters for glaciological research and for field safety in glaciated terrain. Yet, pixel-level annotation of glacier sur…
HANCLIP: A Family of Hyperbolic Angular Negation Vision Language Models
Hoang-Bao Le, Aiden Durrant, Thai Son Mai +3
Vision-language models (VLMs) achieve strong cross-modal alignment but remain brittle to negation, often relying on shallow word associations rather than compositional reasoning. F…
Trust-Aware Predictive Emissions Monitoring for Gas Turbine Fleets with Limited Labelled Data
Rebecca Potts, Aiden Durrant, Rick Hackney +1
Machine learning-based predictive emissions monitoring systems offer a practical alternative to direct emissions measurement, but their deployment across gas turbine fleets is chal…
Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts
Matthew Beddows, Aiden Durrant, Georgios Leontidis
Accurate crop yield forecasting in commercial soft fruit production is constrained by the data available in typical commercial farm records, which lack the sensor networks, satelli…
HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers
Andy Li, Aiden Durrant, Milan Markovic +1
Vision Transformers require significant computational resources and memory bandwidth, severely limiting their deployment on resource-constraint hardware. Most structured pruning me…