36 citations · 68 across the 4 of their papers we have counts for
4 papers
Dense Semantic Correspondence where Every Pixel is a Classifier
Hilton Bristow, Jack Valmadre, Simon Lucey
Determining dense semantic correspondences across objects and scenes is a difficult problem that underpins many higher-level computer vision algorithms. Unlike canonical dense corr…
Regression-Based Image Alignment for General Object Categories
Hilton Bristow, Simon Lucey
Gradient-descent methods have exhibited fast and reliable performance for image alignment in the facial domain, but have largely been ignored by the broader vision community. They…
Why do linear SVMs trained on HOG features perform so well?
Hilton Bristow, Simon Lucey
Linear Support Vector Machines trained on HOG features are now a de facto standard across many visual perception tasks. Their popularisation can largely be attributed to the step-c…
Optimization Methods for Convolutional Sparse Coding
Hilton Bristow, Simon Lucey
Sparse and convolutional constraints form a natural prior for many optimization problems that arise from physical processes. Detecting motifs in speech and musical passages, super-…