3 papers
cs.CV2026
Reg4Pru: Regularisation Through Random Token Routing for Token Pruning
Julian Wyatt, Ronald Clark, Irina Voiculescu
Transformers are widely adopted in modern vision models due to their strong ability to scale with dataset size and generalisability. However, this comes with a major drawback: comp…
cs.CV2024
Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection
Julian Wyatt, Irina Voiculescu
Cephalometric Landmark Detection is the process of identifying key areas for cephalometry. Each landmark is a single GT point labelled by a clinician. A machine learning model pred…
cs.CV2024
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy
Julian Wyatt, Irina Voiculescu
Anatomical Landmark Detection is the process of identifying key areas of an image for clinical measurements. Each landmark is a single ground truth point labelled by a clinician. A…