no code implementations • GermEval 2021 • Jaqueline Böck, Daria Liakhovets, Mina Schütz, Armin Kirchknopf, Djordje Slijepčević, Matthias Zeppelzauer, Alexander Schindler
Our best model is GottBERT (i. e., a BERT transformer pre-trained on German texts) fine-tuned on the GermEval 2021 data.
no code implementations • 7 Oct 2024 • Mónica Apellaniz Portos, Roberto Labadie-Tamayo, Claudius Stemmler, Erwin Feyersinger, Andreas Babic, Franziska Bruckner, Vrääth Öhner, Matthias Zeppelzauer
We present an approach for the analysis of hybrid visual compositions in animation in the domain of ephemeral film.
1 code implementation • 3 Jul 2024 • Eric Stumpe, Gernot Bodner, Francesco Flagiello, Matthias Zeppelzauer
By leveraging depth data, our method mitigates parallax effects and thus facilitates more accurate pixel alignment across camera modalities.
no code implementations • 26 Sep 2023 • Miroslav Despotovic, Zedong Zhang, Eric Stumpe, Matthias Zeppelzauer
We describe a proof-of-concept for annotating real estate images using simple iterative rule-based semi-supervised learning.
no code implementations • 22 Nov 2022 • Armin Kirchknopf, Djordje Slijepcevic, Ilkay Wunderlich, Michael Breiter, Johannes Traxler, Matthias Zeppelzauer
We investigate the problem of explainability for visual object detectors.
no code implementations • 16 Nov 2022 • Eric Stumpe, Miroslav Despotovic, Zedong Zhang, Matthias Zeppelzauer
Furthermore, the fusion of information from indoor and outdoor photos results in a performance boost of up to 5% in Macro F1-score.
no code implementations • 16 Oct 2022 • Fabian Horst, Djordje Slijepcevic, Matthias Zeppelzauer, Anna-Maria Raberger, Sebastian Lapuschkin, Wojciech Samek, Wolfgang I. Schöllhorn, Christian Breiteneder, Brian Horsak
State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions.
no code implementations • 16 Oct 2022 • Djordje Slijepcevic, Fabian Horst, Marvin Simak, Sebastian Lapuschkin, Anna-Maria Raberger, Wojciech Samek, Christian Breiteneder, Wolfgang I. Schöllhorn, Matthias Zeppelzauer, Brian Horsak
Machine learning (ML) models have proven effective in classifying gait analysis data, e. g., binary classification of young vs. older adults.
no code implementations • 10 Aug 2022 • Alexander Rind, Djordje Slijepčević, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Brian Horsak
Three-dimensional clinical gait analysis is essential for selecting optimal treatment interventions for patients with cerebral palsy (CP), but generates a large amount of time series data.
no code implementations • 9 Jun 2021 • Mina Schütz, Jaqueline Boeck, Daria Liakhovets, Djordje Slijepčević, Armin Kirchknopf, Manuel Hecht, Johannes Bogensperger, Sven Schlarb, Alexander Schindler, Matthias Zeppelzauer
For both tasks our best model is XLM-R with unsupervised pre-training on the EXIST data and additional datasets and fine-tuning on the provided dataset.
no code implementations • 31 May 2021 • Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer
Social media is accompanied by an increasing proportion of content that provides fake information or misleading content, known as information disorder.
1 code implementation • 31 May 2021 • Thomas Baumhauer, Djordje Slijepcevic, Matthias Zeppelzauer
Explainable artificial intelligence is the attempt to elucidate the workings of systems too complex to be directly accessible to human cognition through suitable side-information referred to as "explanations".
1 code implementation • 9 Feb 2021 • Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer
For use with anonymisation techniques, the $k$-anonymity criterion is one of the most popular, with numerous scientific publications on different algorithms and metrics.
no code implementations • 7 Feb 2020 • Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer
Recently enacted legislation grants individuals certain rights to decide in what fashion their personal data may be used, and in particular a "right to be forgotten".
2 code implementations • 16 Dec 2019 • Djordje Slijepcevic, Fabian Horst, Sebastian Lapuschkin, Anna-Maria Raberger, Matthias Zeppelzauer, Wojciech Samek, Christian Breiteneder, Wolfgang I. Schöllhorn, Brian Horsak
Machine learning (ML) is increasingly used to support decision-making in the healthcare sector.
1 code implementation • 21 Dec 2018 • Bartosz Zieliński, Michał Lipiński, Mateusz Juda, Matthias Zeppelzauer, Paweł Dłotko
Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs).
no code implementations • 26 Apr 2018 • David Koch, Miroslav Despotovic, Muntaha Sakeena, Mario Döller, Matthias Zeppelzauer
The condition of a building is an important factor for real estate valuation.
no code implementations • 6 Apr 2018 • Matthias Zeppelzauer, Miroslav Despotovic, Muntaha Sakeena, David Koch, Mario Döller
We present a first method for the automated age estimation of buildings from unconstrained photographs.
no code implementations • 13 Feb 2018 • Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko
Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs) which are 2D multisets of points.
no code implementations • 18 Dec 2017 • Djordje Slijepcevic, Matthias Zeppelzauer, Anna-Maria Gorgas, Caterine Schwab, Michael Schüller, Arnold Baca, Christian Breiteneder, Brian Horsak
The aim of the study is twofold: (1) to investigate the suitability of stateof-the-art GRF parameterization techniques (representations) for the discrimination of functional gait disorders; and (2) to provide a first performance baseline for the automated classification of functional gait disorders for a large-scale dataset.
no code implementations • 29 Oct 2017 • Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks.
no code implementations • 9 Mar 2017 • Jürgen Bernard, Christian Ritter, David Sessler, Matthias Zeppelzauer, Jörn Kohlhammer, Dieter Fellner
In a visual-interactive interface, users are able to label pairs of soccer players with respect to their subjective notion of similarity.
no code implementations • 6 Oct 2016 • Georg Poier, Markus Seidl, Matthias Zeppelzauer, Christian Reinbacher, Martin Schaich, Giovanna Bellandi, Alberto Marretta, Horst Bischof
The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains.
no code implementations • 22 Jan 2016 • Matthias Zeppelzauer, Bartosz Zieliński, Mateusz Juda, Markus Seidl
We investigate topological descriptors for 3D surface analysis, i. e. the classification of surfaces according to their geometric fine structure.
no code implementations • 4 Jan 2016 • Matthias Zeppelzauer, Daniel Schopfhauser
The task of social event classification refers to the distinction of event and non-event-related content as well as the classification of event types (e. g. sports events, concerts, etc.).
no code implementations • 30 Apr 2015 • Matthias Zeppelzauer, Markus Seidl
Surface topography refers to the geometric micro-structure of a surface and defines its tactile characteristics (typically in the sub-millimeter range).
no code implementations • 24 Apr 2015 • Amaia Salvador, Matthias Zeppelzauer, Daniel Manchon-Vizuete, Andrea Calafell, Xavier Giro-i-Nieto
Our solution is based on the combination of visual features extracted from convolutional neural networks with temporal information using a hierarchical classifier scheme.