activity
20202024
most citedGANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning

110 citations · 141 across the 6 of their papers we have counts for

collaborators

6 papers

cs.MM2024★ 7 cited

MultiMediate'24: Multi-Domain Engagement Estimation

Philipp Müller, Michal Balazia, Tobias Baur +8

Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task…

cs.CL2024

Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models

Philipp Müller, Alexander Heimerl, Sayed Muddashir Hossain +5

Human emotions are often not expressed directly, but regulated according to internal processes and social display rules. For affective computing systems, an understanding of how us…

cs.CV2023★ 19 cited

MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

Philipp Müller, Michal Balazia, Tobias Baur +9

Automatic analysis of human behaviour is a fundamental prerequisite for the creation of machines that can effectively interact with- and support humans in social interactions. In M…

cs.LG2023★ 5 cited

ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario

Alexander Heimerl, Pooja Prajod, Silvan Mertes +7

We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion c…

cs.HC2022

"GAN I hire you?" -- A System for Personalized Virtual Job Interview Training

Alexander Heimerl, Silvan Mertes, Tanja Schneeberger +6

Job interviews are usually high-stakes social situations where professional and behavioral skills are required for a satisfactory outcome. Professional job interview trainers give…

cs.LG2020★ 110 cited

GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning

Silvan Mertes, Tobias Huber, Katharina Weitz +2

With the ongoing rise of machine learning, the need for methods for explaining decisions made by artificial intelligence systems is becoming a more and more important topic. Especi…