Style Transfer for 360 Images
Proposed by: Koustav Ghosal: ghosalk at scss.tcd.ie Sebastian Lutz: lutzs at scss.tcd.ie Pierre Matysiak: matysiap at scss.tcd.ie The aim of…
10th October 2019
Author: Koustav Ghosal
STaDA: Style Transfer as Data Augmentation
Abstract The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data. Recent…
22nd May 2019
A Geometry-Sensitive Approach for Photographic Style Classification
Abstract Photographs are characterized by different compositional attributes like the Rule of Thirds, depth of field, vanishing-lines etc. The presence…
10th August 2018