Search Results for author: Andrew Gilbert

Found 12 papers, 1 papers with code

Human-like Relational Models for Activity Recognition in Video

no code implementations12 Jul 2021 Joseph Chrol-Cannon, Andrew Gilbert, Ranko Lazic, Adithya Madhusoodanan, Frank Guerin

We apply the method to a challenging subset of the something-something dataset and achieve a more robust performance against neural network baselines on challenging activities.

Activity Recognition

Rethinking movie genre classification with fine-grained semantic clustering

no code implementations4 Dec 2020 Edward Fish, Jon Weinbren, Andrew Gilbert

We expand these 'coarse' genre labels by identifying 'fine-grained' semantic information within the multi-modal content of movies.

Classification General Classification +1

Neural Architecture Search for Deep Image Prior

2 code implementations14 Jan 2020 Kary Ho, Andrew Gilbert, Hailin Jin, John Collomosse

We present a neural architecture search (NAS) technique to enhance the performance of unsupervised image de-noising, in-painting and super-resolution under the recently proposed Deep Image Prior (DIP).

Image Restoration Neural Architecture Search +1

Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach

no code implementations6 Nov 2019 Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod

Treating the problem as a landmark detection problem, we propose a modified U-Net CNN architecture to generate heatmaps of likely coordinate locations.

Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras

no code implementations8 Aug 2019 Andrew Gilbert, Matthew Trumble, Adrian Hilton, John Collomosse

We aim to simultaneously estimate the 3D articulated pose and high fidelity volumetric occupancy of human performance, from multiple viewpoint video (MVV) with as few as two views.

3D Human Pose Estimation

Volumetric performance capture from minimal camera viewpoints

no code implementations ECCV 2018 Andrew Gilbert, Marco Volino, John Collomosse, Adrian Hilton

We present a convolutional autoencoder that enables high fidelity volumetric reconstructions of human performance to be captured from multi-view video comprising only a small set of camera views.

Disentangling Structure and Aesthetics for Style-Aware Image Completion

no code implementations CVPR 2018 Andrew Gilbert, John Collomosse, Hailin Jin, Brian Price

Content-aware image completion or in-painting is a fundamental tool for the correction of defects or removal of objects in images.

Image and Video Mining through Online Learning

no code implementations9 Sep 2016 Andrew Gilbert, Richard Bowden

On the UCF11 video dataset, the accuracy is 86. 7% despite using only 90 labelled examples from a dataset of over 1200 videos, instead of the standard 1122 training videos.

Action Recognition Active Learning +2

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