2 citations · 3 across the 8 of their papers we have counts for
6 papers · 1 filter
Performance Decay in Deepfake Detection: The Limitations of Training on Outdated Data
Jack Richings, Margaux Leblanc, Ian Groves +1
The continually advancing quality of deepfake technology exacerbates the threats of disinformation, fraud, and harassment by making maliciously-generated synthetic content increasi…
Efficient SAR Vessel Detection for FPGA-Based On-Satellite Sensing
Colin Laganier, Liam Fletcher, Elim Kwan +2
Rapid analysis of satellite imagery within minutes-to-hours of acquisition is increasingly vital for many remote sensing applications, and is an essential component for developing…
Onboard Mission Replanning for Adaptive Cooperative Multi-Robot Systems
Elim Kwan, Rehman Qureshi, Liam Fletcher +3
Cooperative autonomous robotic systems have significant potential for executing complex multi-task missions across space, air, ground, and maritime domains. But they commonly opera…
SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios
Simon Malzard, Nitish Mital, Richard Walters +3
Computer vision (CV) models for detection, prediction or classification tasks operate on video data-streams that are often degraded in the real world, due to deployment in real-tim…
A Self-Supervised Framework for Space Object Behaviour Characterisation
Ian Groves, Andrew Campbell, James Fernandes +4
Foundation Models, which leverage large neural networks pre-trained on unlabelled data before fine-tuning for specific tasks, are increasingly being applied to specialised domains.…
Radar Pulse Deinterleaving with Transformer Based Deep Metric Learning
Edward Gunn, Adam Hosford, Daniel Mannion +3
When receiving radar pulses it is common for a recorded pulse train to contain pulses from many different emitters. The radar pulse deinterleaving problem is the task of separating…