1 code implementation • 8 May 2024 • Silvan Mertes, Tobias Huber, Christina Karle, Katharina Weitz, Ruben Schlagowski, Cristina Conati, Elisabeth André
To this end, we present a GAN-based approach to generate these alterfactual explanations for binary image classifiers.
no code implementations • 23 Feb 2024 • Silvan Mertes, Dominik Schiller, Michael Dietz, Elisabeth André, Florian Lingenfelser
In the field of affective computing, where research continually advances at a rapid pace, the demand for user-friendly tools has become increasingly apparent.
1 code implementation • 18 Jun 2023 • Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schon, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Muller, Silvan Mertes, Niklas Schroter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
STOIC2021 consisted of a Qualification phase, where participants developed challenge solutions using 2000 publicly available CT scans, and a Final phase, where participants submitted their training methodologies with which solutions were trained on CT scans of 9724 subjects.
no code implementations • 15 May 2023 • Dominik Müller, Niklas Schröter, Silvan Mertes, Fabio Hellmann, Miriam Elia, Wolfgang Reif, Bernhard Bauer, Elisabeth André, Frank Kramer
COVID-19 presence classification and severity prediction via (3D) thorax computed tomography scans have become important tasks in recent times.
1 code implementation • 3 May 2023 • Fabio Hellmann, Silvan Mertes, Mohamed Benouis, Alexander Hustinx, Tzung-Chien Hsieh, Cristina Conati, Peter Krawitz, Elisabeth André
The effectiveness of the approach was assessed by evaluating its performance in removing identifiable facial attributes to increase the anonymity of the given individual face.
no code implementations • 14 Mar 2023 • Alexander Heimerl, Pooja Prajod, Silvan Mertes, Tobias Baur, Matthias Kraus, Ailin Liu, Helen Risack, Nicolas Rohleder, Elisabeth André, Linda Becker
We present a multi-modal stress dataset that uses digital job interviews to induce stress.
2 code implementations • 24 Feb 2023 • Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew L. Olson, Elisabeth André
However, research focusing on counterfactual explanations, specifically for RL agents with visual input, is scarce and does not go beyond identifying defective agents.
no code implementations • 6 Oct 2022 • Andreas Triantafyllopoulos, Björn W. Schuller, Gökçe İymen, Metin Sezgin, Xiangheng He, Zijiang Yang, Panagiotis Tzirakis, Shuo Liu, Silvan Mertes, Elisabeth André, Ruibo Fu, JianHua Tao
Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in human-computer interaction research.
1 code implementation • 28 Sep 2022 • Tobias Hallmen, Silvan Mertes, Dominik Schiller, Elisabeth André
Affective speech analysis is an ongoing topic of research.
no code implementations • 19 Jul 2022 • Silvan Mertes, Christina Karle, Tobias Huber, Katharina Weitz, Ruben Schlagowski, Elisabeth André
We evaluate our approach in an extensive user study, revealing that it is able to significantly contribute to the participants' understanding of an AI.
no code implementations • 8 Jun 2022 • Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André
This feedback can be helpful concerning the improvement of behavioral skills needed for job interviews.
no code implementations • 9 May 2022 • Silvan Mertes, Andreas Margraf, Steffen Geinitz, Elisabeth André
However, a precise examination of the resulting images indicate that WGAN and image-to-image translation achieve good segmentation results and only deviate to a small degree from traditional data augmentation.
no code implementations • 26 Apr 2022 • Silvan Mertes, Dominik Schiller, Florian Lingenfelser, Thomas Kiderle, Valentin Kroner, Lama Diab, Elisabeth André
This is especially a problem if not only random new images are to be generated, but specific (continuous) features are to be co-modeled.
no code implementations • 19 Aug 2021 • Tobias Huber, Silvan Mertes, Stanislava Rangelova, Simon Flutura, Elisabeth André
As a proof-of-concept, we implement an initial prototype in which the player must traverse a maze that includes several exercise rooms, whereby the generation of the maze is realized by a neural network.
no code implementations • 5 May 2021 • Pol van Rijn, Silvan Mertes, Dominik Schiller, Peter M. C. Harrison, Pauline Larrouy-Maestri, Elisabeth André, Nori Jacoby
Recent TTS systems are able to generate prosodically varied and realistic speech.
1 code implementation • 22 Dec 2020 • Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André
By doing so, the users of counterfactual explanation systems are equipped with a completely different kind of explanatory information.
no code implementations • 30 Sep 2020 • Dominik Schiller, Silvan Mertes, Elisabeth André
Traditional approaches to automatic emotion recognition are relying on the application of handcrafted features.