1 code implementation • NeurIPS 2018 • Oisín Moran, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith
We generated experimental data based on collections of optical fibre responses to greyscale input images generated with coherent light, by measuring only image amplitude (not amplitude and phase as is typical) at the output of \SI{1}{\metre} and \SI{10}{\metre} long, \SI{105}{\micro\metre} diameter multimode fibre.
no code implementations • 21 Sep 2017 • Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias Hullin, Catherine Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio
Light scattered from multiple surfaces can be used to retrieve information of hidden environments.
no code implementations • 2 Mar 2017 • Susan Chan, Ryan E. Warburton, Genevieve Gariepy, Jonathan Leach, Daniele Faccio
A remote-sensing system that can determine the position of hidden objects has applications in many critical real-life scenarios, such as search and rescue missions and safe autonomous driving.
no code implementations • 13 Aug 2018 • Alessandro Boccolini, Alessandro Fedrizzi, Daniele Faccio
Computational ghost imaging relies on the decomposition of an image into patterns that are summed together with weights that measure the overlap of each pattern with the scene being imaged.
no code implementations • 12 Apr 2019 • Francesco Tonolini, Jack Radford, Alex Turpin, Daniele Faccio, Roderick Murray-Smith
In such a way, Bayesian machine learning models can solve imaging inverse problems with minimal data collection efforts.
no code implementations • 2 Dec 2019 • Alex Turpin, Gabriella Musarra, Valentin Kapitany, Francesco Tonolini, Ashley Lyons, Ilya Starshynov, Federica Villa, Enrico Conca, Francesco Fioranelli, Roderick Murray-Smith, Daniele Faccio
Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light).
no code implementations • 17 Nov 2020 • Alex Turpin, Valentin Kapitany, Jack Radford, Davide Rovelli, Kevin Mitchell, Ashley Lyons, Ilya Starshynov, Daniele Faccio
Echo-location is a broad approach to imaging and sensing that includes both man-made RADAR, LIDAR, SONAR and also animal navigation.
no code implementations • 26 Jul 2022 • Joshua Mitton, Simon Peter Mekhail, Miles Padgett, Daniele Faccio, Marco Aversa, Roderick Murray-Smith
We develop a new type of model for solving the task of inverting the transmission effects of multi-mode optical fibres through the construction of an $\mathrm{SO}^{+}(2, 1)$-equivariant neural network.
no code implementations • 7 Oct 2022 • Gao Wang, Daniele Faccio
Brain-computer interfaces (BCIs) are enabling a range of new possibilities and routes for augmenting human capability.
no code implementations • 28 Feb 2023 • Kevin Mitchell, Khaled Kassem, Chaitanya Kaul, Valentin Kapitany, Philip Binner, Andrew Ramsay, Roderick Murray-Smith, Daniele Faccio
For widespread adoption, public security and surveillance systems must be accurate, portable, compact, and real-time, without impeding the privacy of the individuals being observed.
no code implementations • 15 Mar 2023 • Yao Ge, Chong Tang, Haobo Li, Zikang Zhang, Wenda Li, Kevin Chetty, Daniele Faccio, Qammer H. Abbasi, Muhammad Imran
The dataset has been validated and has potential for the research of lip reading and multimodal speech recognition.
no code implementations • 17 Nov 2023 • Wenhao Wang, Guyue Li, Zhiming Chu, Haobo Li, Daniele Faccio
Furthermore, we conducted comparative experiments to validate the superiority of combining image features and timing characteristics within PUPGUARD for enhancing resistance against puppet attacks.
no code implementations • 1 Mar 2024 • Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio
We propose a novel transformer-style architecture called Global-Local Filter Network (GLFNet) for medical image segmentation and demonstrate its state-of-the-art performance.