8 citations · 11 across the 3 of their papers we have counts for
6 papers
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity
Dan Ruta, Saeid Motiian, Baldo Faieta +5
We present ALADIN (All Layer AdaIN); a novel architecture for searching images based on the similarity of their artistic style. Representation learning is critical to visual search…
Rethinking movie genre classification with fine-grained semantic clustering
Edward Fish, Jon Weinbren, Andrew Gilbert
Movie genre classification is an active research area in machine learning. However, due to the limited labels available, there can be large semantic variations between movies withi…
Neural Architecture Search for Deep Image Prior
Kary Ho, Andrew Gilbert, Hailin Jin +1
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 De…
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras
Andrew Gilbert, Matthew Trumble, Adrian Hilton +1
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.…
Volumetric performance capture from minimal camera viewpoints
Andrew Gilbert, Marco Volino, John Collomosse +1
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 o…
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling
Matthew Trumble, Andrew Gilbert, Adrian Hilton +1
We present a method for simultaneously estimating 3D human pose and body shape from a sparse set of wide-baseline camera views. We train a symmetric convolutional autoencoder with…