36 citations · 89 across the 7 of their papers we have counts for
7 papers
Fast, Dense Feature SDM on an iPhone
Ashton Fagg, Simon Lucey, Sridha Sridharan
In this paper, we present our method for enabling dense SDM to run at over 90 FPS on a mobile device. Our contributions are two-fold. Drawing inspiration from the FFT, we propose a…
Inverse Compositional Spatial Transformer Networks
Chen-Hsuan Lin, Simon Lucey
In this paper, we establish a theoretical connection between the classical Lucas & Kanade (LK) algorithm and the emerging topic of Spatial Transformer Networks (STNs). STNs are of…
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-…
Correlation Filters with Limited Boundaries
Hamed Kiani Galoogahi, Terence Sim, Simon Lucey
Correlation filters take advantage of specific properties in the Fourier domain allowing them to be estimated efficiently: O(NDlogD) in the frequency domain, versus O(D^3 + ND^2) s…