activity
20192024
most citedAdversarial-based neural networks for affect estimations in the wild

4 citations · 10 across the 7 of their papers we have counts for

collaborators

9 papers

cs.AI20241 cited

Affective Computing Has Changed: The Foundation Model Disruption

Björn Schuller, Adria Mallol-Ragolta, Alejandro Peña Almansa +5

The dawn of Foundation Models has on the one hand revolutionised a wide range of research problems, and, on the other hand, democratised the access and use of AI-based tools by the…

cs.SD20221 cited

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

Björn W. Schuller, Anton Batliner, Shahin Amiriparian +12

The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the…

cs.SD20223 cited

Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition

Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta +2

In this paper, we present our submission to 3rd Affective Behavior Analysis in-the-wild (ABAW) challenge. Learningcomplex interactions among multimodal sequences is critical to rec…

cs.SD20221 cited

Audio Self-supervised Learning: A Survey

Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabeleiro +5

Inspired by the humans' cognitive ability to generalise knowledge and skills, Self-Supervised Learning (SSL) targets at discovering general representations from large-scale data wi…

cs.SD2021

EIHW-MTG: Second DiCOVA Challenge System Report

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez +1

This work presents an outer product-based approach to fuse the embedded representations generated from the spectrograms of cough, breath, and speech samples for the automatic detec…

cs.SD2021

EIHW-MTG DiCOVA 2021 Challenge System Report

Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez +1

This paper aims to automatically detect COVID-19 patients by analysing the acoustic information embedded in coughs. COVID-19 affects the respiratory system, and, consequently, resp…