no code implementations • 20 Oct 2022 • Marija Jegorova, Stavros Petridis, Maja Pantic
This work focuses on the apparent emotional reaction recognition (AERR) from the video-only input, conducted in a self-supervised fashion.
no code implementations • 4 Jul 2021 • Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
Leakage of data from publicly available Machine Learning (ML) models is an area of growing significance as commercial and government applications of ML can draw on multiple sources of data, potentially including users' and clients' sensitive data.
no code implementations • 16 Sep 2020 • Jean de Bodinat, Thomas Guerneve, Jose Vazquez, Marija Jegorova
Due to the expensive nature of field data gathering, the lack of training data often limits the performance of Automatic Target Recognition (ATR) systems.
no code implementations • 2 Mar 2020 • Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales
In this paper we present a novel simulation technique for generating high quality images of any predefined resolution.
1 code implementation • 2 Mar 2020 • Marija Jegorova, Joshua Smith, Michael Mistry, Timothy Hospedales
Dynamic System Identification approaches usually heavily rely on the evolutionary and gradient-based optimisation techniques to produce optimal excitation trajectories for determining the physical parameters of robot platforms.
no code implementations • 15 Oct 2019 • Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy Hospedales
High-quality realistic sonar data simulation could be of benefit to multiple applications, including training of human operators for post-mission analysis, as well as tuning and validation of autonomous target recognition (ATR) systems for underwater vehicles.
no code implementations • 7 Nov 2018 • Marija Jegorova, Stéphane Doncieux, Timothy Hospedales
Leveraging our generative policy network, a robot can sample novel behaviors until it finds one that works for a new environment.