We consider the problem of automatically recognizing human faces from frontal views with
varying expression and illumination, as well as occlusion and disguise. We cast the …

Cerebral small vessel disease (SVD) is common during ageing and can present as stroke,
cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently …

Principal component analysis is a fundamental operation in computational data analysis,
with myriad applications ranging from web search to bioinformatics to computer vision and …

This paper studies the problem of simultaneously aligning a batch of linearly correlated images
despite gross corruption (such as occlusion). Our method seeks an optimal set of image …

Many classic and contemporary face recognition algorithms work well on public data sets, but
degrade sharply when they are used in a real recognition system. This is mostly due to the …

This paper studies algorithms for solving the problem of recovering a low-rank matrix with a
fraction of its entries arbitrarily corrupted. This problem cam be viewed as a robust version of …

We provide a comprehensive review of five representative ℓ 1 -minimization methods, ie,
gradient projection, homotopy, iterative shrinkage-thresholding, proximal gradient, and …

In this paper, we propose a new tool to efficiently extract a class of “low-rank textures” in a
3D scene from user-specified windows in 2D images despite significant corruptions and …

We present a new approach to robustly solve photometric stereo problems. We cast the
problem of recovering surface normals from multiple lighting conditions as a problem of …

Background Despite improved survival and short-term (90-day) outcomes of ischemic stroke
patients, only sparse data exist describing the sustained benefits of acute stroke care …