36 citations · 60 across the 7 of their papers we have counts for
7 papers
Orthogonalised Self-Guided Quantum Tomography: Insights from Single-Pixel Imaging
Kiki Dekkers, Alice Ruget, Fazilah Nothlawala +6
We introduce the concept of self-guided imaging (SGI) as a linear analogue of self-guided quantum tomography (SGQT). We show that SGI is mathematically equivalent to single-pixel i…
A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data
Alice Ruget, Lewis Wilson, Jonathan Leach +5
Single-photon avalanche diodes (SPADs) are advanced sensors capable of detecting individual photons and recording their arrival times with picosecond resolution using time-correlat…
Video super-resolution for single-photon LIDAR
Germán Mora Martín, Stirling Scholes, Alice Ruget +3
3D Time-of-Flight (ToF) image sensors are used widely in applications such as self-driving cars, Augmented Reality (AR) and robotics. When implemented with Single-Photon Avalanche…
DronePose: The identification, segmentation, and orientation detection of drones via neural networks
Stirling Scholes, Alice Ruget, German Mora-Martin +3
The growing ubiquity of drones has raised concerns over the ability of traditional air-space monitoring technologies to accurately characterise such vehicles. Here, we present a CN…
Real-time, low-cost multi-person 3D pose estimation
Alice Ruget, Max Tyler, Germán Mora Martín +7
The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance. Three-dimensional pose estima…
High-speed object detection with a single-photon time-of-flight image sensor
Germán Mora-Martín, Alex Turpin, Alice Ruget +4
3D time-of-flight (ToF) imaging is used in a variety of applications such as augmented reality (AR), computer interfaces, robotics and autonomous systems. Single-photon avalanche d…
Robust super-resolution depth imaging via a multi-feature fusion deep network
Alice Ruget, Stephen McLaughlin, Robert K. Henderson +3
Three-dimensional imaging plays an important role in imaging applications where it is necessary to record depth. The number of applications that use depth imaging is increasing rap…