210 citations · 374 across the 9 of their papers we have counts for
9 papers
Forward and Inverse models in HCI:Physical simulation and deep learning for inferring 3D finger pose
Roderick Murray-Smith, John H. Williamson, Andrew Ramsay +3
We outline the role of forward and inverse modelling approaches in the design of human--computer interaction systems. Causal, forward models tend to be easier to specify and simula…
The role of late photons in diffuse optical imaging
Jack Radford, Ashley Lyons, Francesco Tonolini +1
The ability to image through turbid media such as organic tissues, is a highly attractive prospect for biological and medical imaging. This is challenging however, due to the highl…
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
Francesco Tonolini, Pablo G. Moreno, Andreas Damianou +1
We propose a new probabilistic method for unsupervised recovery of corrupted data. Given a large ensemble of degraded samples, our method recovers accurate posteriors of clean valu…
Spatial images from temporal data
Alex Turpin, Gabriella Musarra, Valentin Kapitany +8
Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial st…
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
Hunter Gabbard, Chris Messenger, Ik Siong Heng +2
Gravitational wave (GW) detection is now commonplace and as the sensitivity of the global network of GW detectors improves, we will observe s of transient GW even…
Variational Inference for Computational Imaging Inverse Problems
Francesco Tonolini, Jack Radford, Alex Turpin +2
Machine learning methods for computational imaging require uncertainty estimation to be reliable in real settings. While Bayesian models offer a computationally tractable way of re…
Computational time-of-flight diffuse optical tomography
Ashley Lyons, Francesco Tonolini, Alessandro Boccolini +4
Imaging through a strongly diffusive medium remains an outstanding challenge in particular in association with applications in biological and medical imaging. Here we propose a met…
Tracking hidden objects with a single-photon camera
Genevieve Gariepy, Francesco Tonolini, Robert Henderson +2
The ability to know what is hidden around a corner or behind a wall provides a crucial advantage when physically going around the obstacle is impossible or dangerous. Previous solu…
Reconstructing high-dimensional two-photon entangled states via compressive sensing
Francesco Tonolini, Susan Chan, Megan Agnew +2
Accurately establishing the state of large-scale quantum systems is an important tool in quantum information science; however, the large number of unknown parameters hinders the ra…