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…
Abstract The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data. Recent…
This paper presents an approach to upsampling point cloud sequences captured through a wide baseline camera setup in a spatio-temporally…
Creative studios tend to produce an overwhelming amount of content everyday and being able to manage these data…
Professor Aljosa Smolic visited STC Research Centre, Sundsvall, Västernorrland, Sweden from the 13-15 May. He presented two seminars…
This page contains related materials for learning-based colorfulness estimation. ABSTRACT Measuring the colorfulness of a natural or virtual scene is…
This webpage is dedicated to the publications about our quality assessment framework for omnidirectional video. Here, you can find the…
We are delighted to welcome our new Postdoctoral Research Fellow Dr. Alan Cummins to the team! You are invited…
Light fields are able to capture light rays from a scene arriving at different angles, which allows post-capture rendering applications…
Abstract Owing to its interactive look around nature and very large resolution requirement, providing immersive omnidirectional video (ODV) streaming experiences…
Congratulations to our student Colm Ó Fearghail for his Runner-Up Best Full Paper Award 2018 at ICIDS 2018 for…