18 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.HC2019★ 5 cited
TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy
Ran Xu, Manu Mathew Thomas, Alex Leow +2
We introduce TempoCave, a novel visualization application for analyzing dynamic brain networks, or connectomes. TempoCave provides a range of functionality to explore metrics relat…
cs.GR2019★ 3 cited
Learning Patterns in Sample Distributions for Monte Carlo Variance Reduction
Oskar Elek, Manu M. Thomas, Angus Forbes
This paper investigates a novel a-posteriori variance reduction approach in Monte Carlo image synthesis. Unlike most established methods based on lateral filtering in the image spa…
cs.GR2017★ 18 cited
Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network
Manu Mathew Thomas, Angus G. Forbes
We present Deep Illumination, a novel machine learning technique for approximating global illumination (GI) in real-time applications using a Conditional Generative Adversarial Net…