Search Results for author:
Found 13 papers, 1 papers with code
Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres
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.
Neural network identification of people hidden from view with a single-pixel, single-photon detector
Light scattered from multiple surfaces can be used to retrieve information of hidden environments.
Non-line-of-sight tracking of people at long range
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.
Ghost imaging with the human eye
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.
Variational Inference for Computational Imaging Inverse Problems
In such a way, Bayesian machine learning models can solve imaging inverse problems with minimal data collection efforts.
Spatial images from temporal data
Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light).
3D imaging from multipath temporal echoes
Echo-location is a broad approach to imaging and sensing that includes both man-made RADAR, LIDAR, SONAR and also animal navigation.
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
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.
Computational imaging with the human brain
Brain-computer interfaces (BCIs) are enabling a range of new possibilities and routes for augmenting human capability.
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor
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.
A large-scale multimodal dataset of human speech recognition
The dataset has been validated and has potential for the research of lip reading and multimodal speech recognition.
Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks
Furthermore, we conducted comparative experiments to validate the superiority of combining image features and timing characteristics within PUPGUARD for enhancing resistance against puppet attacks.
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation
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.
