266 citations · 1.1k across the 69 of their papers we have counts for
18 papers · 1 filter
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
Dominic Jack, Frederic Maire, Simon Denman +1
Image convolutions have been a cornerstone of a great number of deep learning advances in computer vision. The research community is yet to settle on an equivalent operator for spa…
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando, Harshala Gammulle, Simon Denman +2
Machine learning-based medical anomaly detection is an important problem that has been extensively studied. Numerous approaches have been proposed across various medical applicatio…
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +2
Objective: Epilepsy is one of the most prevalent neurological diseases among humans and can lead to severe brain injuries, strokes, and brain tumors. Early detection of seizures ca…
Domain Generalization in Biosignal Classification
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +3
Objective: When training machine learning models, we often assume that the training data and evaluation data are sampled from the same distribution. However, this assumption is vio…
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers
Tharindu Fernando, Simon Denman, Sridha Sridharan +1
Neural Memory Networks (NMNs) have received increased attention in recent years compared to deep architectures that use a constrained memory. Despite their new appeal, the success…
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition
Harshala Gammulle, Simon Denman, Sridha Sridharan +1
Gesture recognition is a much studied research area which has myriad real-world applications including robotics and human-machine interaction. Current gesture recognition methods h…