activity
20132022
most citedPatch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition

323 citations · 1.4k across the 44 of their papers we have counts for

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Showing 2016 · cs.CVShow all

5 papers · 2 filters

cs.CV2016

What is the Best Way for Extracting Meaningful Attributes from Pictures?

Liangchen Liu, Arnold Wiliem, Shaokang Chen +1

Automatic attribute discovery methods have gained in popularity to extract sets of visual attributes from images or videos for various tasks. Despite their good performance in some…

cs.CV2016★ 5 cited

Towards Miss Universe Automatic Prediction: The Evening Gown Competition

Johanna Carvajal, Arnold Wiliem, Conrad Sanderson +1

Can we predict the winner of Miss Universe after watching how they stride down the catwalk during the evening gown competition? Fashion gurus say they can! In our work, we study th…

cs.CV2016★ 1 cited

Automatic and Quantitative evaluation of attribute discovery methods

Liangchen Liu, Arnold Wiliem, Shaokang Chen +1

Many automatic attribute discovery methods have been developed to extract a set of visual attributes from images for various tasks. However, despite good performance in some image…

cs.CV2016★ 7 cited

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors

Johanna Carvajal, Chris McCool, Brian Lovell +1

We propose a hierarchical approach to multi-action recognition that performs joint classification and segmentation. A given video (containing several consecutive actions) is proces…

cs.CV2016★ 2 cited

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions

Johanna Carvajal, Arnold Wiliem, Chris McCool +2

We present a comparative evaluation of various techniques for action recognition while keeping as many variables as possible controlled. We employ two categories of Riemannian mani…