1 citations · 2 across the 7 of their papers we have counts for
7 papers
Perspective-Equivariant Fine-tuning for Multispectral Demosaicing without Ground Truth
Andrew Wang, Mike Davies
Multispectral demosaicing is crucial to reconstruct full-resolution spectral images from snapshot mosaiced measurements, enabling real-time imaging from neurosurgery to autonomous…
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems. The library covers all crucial steps in image reconstruction from the efficient implementa…
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
Andrew Wang, Steven McDonagh, Mike Davies
Reconstructing MRI from highly undersampled measurements is crucial for accelerating medical imaging, but is challenging due to the ill-posedness of the inverse problem. While supe…
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
Andrew Wang, Mike Davies
Reconstructing dynamic MRI image sequences from undersampled accelerated measurements is crucial for faster and higher spatiotemporal resolution real-time imaging of cardiac motion…
Perspective-Equivariance for Unsupervised Imaging with Camera Geometry
Andrew Wang, Mike Davies
Ill-posed image reconstruction problems appear in many scenarios such as remote sensing, where obtaining high quality images is crucial for environmental monitoring, disaster manag…
Robust classification with flexible discriminant analysis in heterogeneous data
Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere +1
Linear and Quadratic Discriminant Analysis are well-known classical methods but can heavily suffer from non-Gaussian distributions and/or contaminated datasets, mainly because of t…
Near Real-Time Social Distance Estimation in London
James Walsh, Oluwafunmilola Kesa, Andrew Wang +6
During the COVID-19 pandemic, policy makers at the Greater London Authority, the regional governance body of London, UK, are reliant upon prompt and accurate data sources. Large we…