activity
20162026
most citedBlack-box Variational Inference for Stochastic Differential Equations

25 citations · 82 across the 37 of their papers we have counts for

collaborators

39 papers

cs.CV2026

RED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization

Yan Lin, Ziheng Wang, Shuang Chen +2

Medical image classifiers are often trained within one source population, yet clinical deployment requires robustness to patients whose appearance, acquisition style, and disease p…

cs.CV2025

My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing

Jingrui He, Andrew Stephen McGough

Generative Adversarial Network approaches such as StyleGAN/2 provide two key benefits: the ability to generate photo-realistic face images and possessing a semantically structured…

cs.CV2024

O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation

Matthew Kent Myers, Nick Wright, A. Stephen McGough +1

Online temporal action segmentation shows a strong potential to facilitate many HRI tasks where extended human action sequences must be tracked and understood in real time. Traditi…

cs.LG2024

Insights from the Use of Previously Unseen Neural Architecture Search Datasets

Rob Geada, David Towers, Matthew Forshaw +2

The boundless possibility of neural networks which can be used to solve a problem -- each with different performance -- leads to a situation where a Deep Learning expert is require…

cs.SD2023

The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data

Georgia Atkinson, Nick Wright, A. Stephen McGough +1

In recent years generative adversarial networks (GANs) have been used to supplement datasets within the field of marine bioacoustics. This is driven by factors such as the cost to…

cs.LG2023★ 1 cited

The Forecastability of Underlying Building Electricity Demand from Time Series Data

Mohamad Khalil, A. Stephen McGough, Hussain Kazmi +1

Forecasting building energy consumption has become a promising solution in Building Energy Management Systems for energy saving and optimization. Furthermore, it can play an import…