#Artificial Intelligence

By using Artificial Intelligence, machines and programmes learn from experience, react to new and unforeseeable situations, and are able to solve complex tasks and put information in wider contexts – similar to humans.

Projects

Elecom

Decoding elephant communication with AI.

ADAL

AI server for large-scale data driven research.

DIHOST 2.0

A platform that brings digital innovations to small and medium-sized companies in Eastern Austria.

Institute of Creative\Media/Technologies

PROGRESS

Validation of a Cost-Effective Smartphone-Based 3D Gait and Motion Analysis System for Capturing Movement Kinematics in Children with Cerebral Palsy.

Visual Heritage

Visual Analytics and Computer Vision Meet Cultural Heritage.

PhD Program Visual Heritage

E³UDRES² 2.0

Promoting Smart and Sustainable Regions as an Engaged and Entrepreneurial European University.

Trust AI - A platform for interactive and trustworthy artificial intelligence.

Explainable and trustworthy AI solution in an easy-to-use platform for SMEs.

EyeQTrack - Quantitative Eye-Tracking Analytics for Adaptive XR Training & Rehabilitation in Healthcare

A self-adaptive eXtended reality environment for training and therapeutic purposes.

ECO-TCO

Optimization of product design and configuration for an ecodesign-compliant total cost of ownership approach.

Publications

Apellaniz Portos, M., Labadie-Tamayo, R., Stemmler, C., Feyersinger, E., Babic, A., Bruckner, F., Öhner, V., & Zeppelzauer, M. (2024). Analysis of Hybrid Compositions in Animation Film with Weakly Supervised Learning. Vision of Art - Workshop at the European Conference of Computer Vision (ECCV), 14.

Bibtex

Stemmler, C. (2024, October 9). AniVision: New Technology-assisted Approach to Studying Animation History. CAGA Conference, Viborg.

Bibtex

Stranger, P., Judmaier, P., Rottermanner, G., Rokitansky, C.-H., Szilagyi, I.-S., Settgast, V., & Ullrich, T. (2024). A Novel Approach Using Non-Experts and Transformation Models to Predict the Performance of Experts in A/B Tests. Aerospace, 11(7), 574. https://doi.org/10.3390/aerospace11070574

Apellaniz Portos, M., & Stemmler, C. (2024, May 6). AniVision: Using AI for Studying Animation Aesthetics. Animafest Scanner XI, Zagreb.

Bibtex

Feyersinger, E., & Stemmler, C. (2024, May 24). AniVision: Animation im deutschsprachigen Lehrfilm [Vortrag]. Lehrfilm erforschen. Theoretische und methodische Zugriffe auf den edukativen FIlms, Online - Paderborn.

Bibtex

Apellaniz Portos, M., & Stemmler, C. (2024, May 6). AniVision: Using AI for the Study of Animation History [Symposium - Panel 4: Authorship In/Of AI Animation]. Animafest Scanner XI, Zagreb, Croatia. https://www.animafest.hr/en

Feyersinger, E., & Stemmler, C. (2024, December 4). AniVision: Machine Learning als Analysetool von Animation im Gebrauchsfilm [Vortrag]. DiCi-Hub: Digitale Methoden und die Zukunft der Filmwissenschaft, Marburg.

Bibtex

Feyersinger, E., & Stemmler, C. (2024, July 3). A (Self-)Critical Perspective on Computer Vision as a Digital Humanities Tool [Vortrag]. The Interactive Gaze: Surveillance Images in Digital Games and Other Media, Tübingen.

Bibtex

Horst, F., Hoitz, F., Slijepcevic, D., Schons, N., Beckmann, H., Nigg, B. M., & Schöllhorn, W. I. (2023). Identification of subject-specific responses to footwear during running. Scientific Reports, 13(1), 11284. https://doi.org/10.1038/s41598-023-38090-0

Bruckner, Franziska, Feyersinger, Erwin, & Lechner, Patrik. (2023, June 14). AniVision: Machine Learning as a Tool for Studying Animation in Ephemeral Films [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://www.sas34.org/

News

10/15/2024