5 citations · 16 across the 10 of their papers we have counts for
10 papers
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…
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird +20
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalen…
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…
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…
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…
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…
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…
MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop
Lukas Stappen, Alice Baird, Georgios Rizos +9
Multimodal Sentiment Analysis in Real-life Media (MuSe) 2020 is a Challenge-based Workshop focusing on the tasks of sentiment recognition, as well as emotion-target engagement and…
Adversarial-based neural networks for affect estimations in the wild
Decky Aspandi, Adria Mallol-Ragolta, Björn Schuller +1
There is a growing interest in affective computing research nowadays given its crucial role in bridging humans with computers. This progress has been recently accelerated due to th…
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aime…