Publications of Matthias Zeppelzauer
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Labadie-Tamayo, R., Slijepčević, D., Chen, X., Böck, A. J., Babic, A., Freimann, L., Atzmüller, C., & Zeppelzauer, M. (2026). Distilling knowledge from large language models: A concept bottleneck model for hate and counter speech recognition. Information Processing & Management, 63(2, Part A), 104309. https://doi.org/10.1016/j.ipm.2025.104309
Krondorfer, P., Slijepčević, D., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2026). A Scoping Review of Machine Learning Approaches for Predicting Lower Extremity Joint Contact Loads: Current Trends, Common Pitfalls and Future Directions. IEEE Transactions on Biomedical Engineering, 1–21. https://doi.org/10.1109/TBME.2026.3660466
Slijepčević, D., Klausner, L. D., Eigner, O., Ladner, S., Kietreiber, T., Belinskaya, Y., Kovac, F., Priebe, T., Judmaier, P., Litschka, M., & Zeppelzauer, M. (2026). TrustAI: Designing and Implementing a Trustworthy and User-Centered AI Platform. Proceedings of the 36th International Conference on Database and Expert Systems Applications – DEXA 2025 Workshops, CCIS, volume 2615, 15–29. https://doi.org/10.1007/978-3-032-02003-1_2
Babic, A., Chen, X., Slijepčević, D., Böck, A. J., & Zeppelzauer, M. (2025). CounterHelp: Promoting Online Civil Courage Among Young People Through AI-Generated Counter Speech. Proceedings of the 33rd ACM International Conference on Multimedia, 13513–13515. https://doi.org/10.1145/3746027.3754473
Tekaya, N., Waldner, M., & Zeppelzauer, M. (2025). A Matter of Time: Revealing the Structure of Time in Vision-Language Models. Proceedings of the 33rd ACM International Conference on Multimedia, 12371–12380. https://doi.org/10.1145/3746027.3758163
Krondorfer, P., Slijepčević, D., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2025). Predicting joint contact forces using a combination of kinematics, anthropometrics, and demographics with explainable artificial intelligence. Gait & Posture, ESMAC 2025 Abstract, 121, 126–128. https://doi.org/10.1016/j.gaitpost.2025.07.139
Slijepčević, D., Ladner, S., Judmaier, P., Zeppelzauer, M., Kranzl, A., & Horsak, B. (2025). AI applications and data annotation practices in clinical gait analysis: Initial insights from a survey of ESMAC and GAMMA members. Gait & Posture, ESMAC 2025 Abstract, 121, 229–230. https://doi.org/10.1016/j.gaitpost.2025.07.246
Labadie-Tamayo, R., Böck, A. J., Chen, X., & Zeppelzauer, M. (2025). FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models⋆. 12. https://doi.org/10.48550/arXiv.2507.20924
Höld, E., Größbacher, S., Kramml, P., Zeppelzauer, M., Prokop, B., Heller, M., & Rathmanner, T. (2025). Fit for #fitspiration: Human-Centred Design of a Blended Learning Course for Upper Secondary Schools. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-025-09871-5
Stumpe, E., Bodner, G., Flagiello, F., & Zeppelzauer, M. (2025). 3D Multimodal Image Registration for Plant Phenotyping. Computers and Electronics in Agriculture, (237, Part B), 110538. https://doi.org/10.1016/j.compag.2025.110538
Liszt-Rohlf, V., Schindler, A., Seeber, F., Szalai, E., Havas, C., Tatzgern, M., Slijepčević, D., Priebe, T., Zeppelzauer, M., Führer, M., & Blaickner, M. (2025). FAIR-AI: Fostering Austria’s Innovative Strength and Research Excellence in Artificial Intelligence. Abstractband: 18. Forschungsforum der österreichischen Fachhochschulen : 7. - 8. Mai 2025, 526–527. https://doi.org/10.34895/hcw.0027
Aigner, W., Miksch, S., Proksa, F., Sablatnig, R., Seidl, M., Waldner, M., & Zeppelzauer, M. (2025). Visual Heritage: Visual Analytics and Computer Vision Meet Cultural Heritage (doc.funds.connect). Abstractband: 18. Forschungsforum Der Österreichischen Fachhochschulen : 7. - 8. Mai 2025, 558–559. https://doi.org/10.34895/hcw.0027
Satriani, N., Slijepcevic, D., Schedl, M., & Zeppelzauer, M. (2025). Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification. IEEE International Conference on Content-Based Multimedia Indexing.
Matt, M., Sedlakova, J., Bernard, J., Zeppelzauer, M., & Waldner, M. (2025). Scalable Class-Centric Visual Interactive Labeling. Computers & Graphics, 104240. https://doi.org/10.1016/j.cag.2025.104240
Kibler, F., Apellaniz-Portos, M., Theisen, M., De-Jesus-Oliveira, V.-A., Haltrich, M., Zeppelzauer, M., & Seidl, M. (2025). Transparent Similarity Estimation of Medieval Pen Flourishing via Local Visual Patterns. Proceedings of the 7th International Workshop on analySis, Understanding and proMotion of heritAge Contents (SUMAC ´25). ACM Multimedia. https://doi.org/10.1145/3746273.3760203
Dindorf, C., Horst, F., Slijepcevic, D., Dumphart, B., Dully, J., Zeppelzauer, M., Horsak, B., & Fröhlich, M. (2024). Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements (pp. 91–148). https://doi.org/10.1007/978-3-031-76047-1_4
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. https://doi.org/https://doi.org/10.48550/arXiv.2410.04789
Dindorf, C., Horst, F., Slijepčević, D., Dumphart, B., Dully, J., Zeppelzauer, M., Horsak, B., & Fröhlich, M. (2024). From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary. Current Issues in Sport Science (CISS), 9(4), 014–014. https://doi.org/10.36950/2024.4ciss014
Slijepcevic, D., Krondorfer, P., Unglaube, F., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2024). Predicting ground reaction forces in overground walking from gait kinematics using machine learning. Gait & Posture, ESMAC Abstracts 2024, 113, 214–215. https://doi.org/10.1016/j.gaitpost.2024.07.231
Horst, F., Slijepcevic, D., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Explainable artificial intelligence for walking speed classification from vertical ground reaction forces. Gait & Posture, ESMAC Abstracts 2024, 113, 215–216. https://doi.org/10.1016/j.gaitpost.2024.07.232
Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Zeppelzauer, M., Kainz, H., & Horsak, B. (2024). Predicting knee contact forces in walking: A comparative study of machine learning models including a physics-informed approach. Gait & Posture, ESMAC Abstracts 2024, 113, 125–126. https://doi.org/10.1016/j.gaitpost.2024.07.140
Slijepcevic, D., Horst, F., Zeppelzauer, M., & Schöllhorn, W. (2024). Individual Responses to Running Shoes: An Investiagtion Using Unsupervised Machine Learning. ISBS Proceedings Archive, 42(1), 858. https://commons.nmu.edu/isbs/vol42/iss1/247
Matt, M., Zeppelzauer, M., & Waldner, M. (2024). cVIL: Class-Centric Visual Interactive Labeling. Proceedings of the 15th International EuroVis Workshop on Visual Analytics (EuroVA). 15th International EuroVis Workshop on Visual Analytics (EuroVA). https://diglib.eg.org/items/d55a034d-edef-4d75-a106-04b8dbd671c4
Böck, A. J., Slijepčević, D., & Zeppelzauer, M. (2024). Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI. Proceedings of In 21st International Conference on Contentbased Multimedia Indexing, 8. https://doi.org/https://ieeexplore.ieee.org/document/10859247
Eschner, J., Labadie, R., Zeppelzauer, M., & Waldner, M. (2024). Interactive Discovery and Exploration of Visual Bias in Generative Text-to-Image Models. 3, 44. https://doi.org/10.1111/cgf.70135
Slijepcevic, D., Horst, F., Simak, M. L., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait using Explainable AI. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2024.3513893
Despotovic, M., Koch, D., Thaler, S., Stumpe, E., Brunauer, W., & Zeppelzauer, M. (2024). Linking repeated subjective judgments and ConvNets for multimodal assessment of the immediate living environment. MethodsX, 12:102556. https://doi.org/10.1016/j.mex.2024.102556
Despotovic, M., Stumpe, E., Brunauer, W., Lehner, M., & Zeppelzauer, M. (2024). Predictive Assessment of the Interior Quality of Apartments Based on Multimodal Data with Variable Visual Input. SN Computer Science, 5(691), 16. https://doi.org/10.1007/s42979-024-03028-4
Dumphart, B., Slijepcevic, D., Kranz, A., Zeppelzauer, M., & Horsak, B. (2023). Is it time to re-think the appropriateness of autocorrelation for gait event detection? Preliminary results of an ongoing study. Gait & Posture, ESMAC 2023 Abstracts, 106, S50–S51. https://doi.org/10.1016/j.gaitpost.2023.07.064
Slijepcevic, D., Horst, F., Simak, M., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2023). Towards personalized gait rehabilitation: How robustly can we identify personal gait signatures with machine learning? Gait & Posture, ESMAC 2023 Abstracts, 106, S192–S193. https://doi.org/10.1016/j.gaitpost.2023.07.232
Dumphart, B., Slijepcevic, D., Zeppelzauer, M., Kranzl, A., Unglaube, F., Baca, A., & Horsak, B. (2023). Robust deep learning-based gait event detection across various pathologies. PLOS ONE, 18(8), e0288555. https://doi.org/10.1371/journal.pone.0288555
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Towards more transparency: The utility of Grad-CAM in tracing back deep learning based classification decisions in children with cerebral palsy. Gait & Posture, GAMMA 2023 Abstracts, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045
Horst, F., Slijepcevic, D., Simak, M., Horsak, B., Schöllhorn, W. I., & Zeppelzauer, M. (2023). Modeling biological individuality using machine learning: A study on human gait. Computational and Structural Biotechnology Journal, 21, 3414–3423. https://doi.org/10.1016/j.csbj.2023.06.009
Böck, J., Schütz, M., Liakhovets, D., Satriani, N. Q., Babic, A., Slijepčević, D., Zeppelzauer, M., & Schindler, A. (2023). AIT_FHSTP at EXIST 2023 Benchmark: Sexism Detection by Transfer Learning, Sentiment and Toxicity Embeddings and Hand-Crafted Features. CEUR Workshop Proceedings, 13.
Despotovic, M., Koch, D., Stumpe, E., Brunauer, W., & Zeppelzauer, M. (2023). Leveraging supplementary modalities in automated real estate valuation using comparative judgments and deep learning. Journal of European Real Estate Research, 16(2), 200–219. https://doi.org/10.1108/JERER-11-2022-0036
Sakeena, M., Stumpe, E., Despotovic, M., Koch, D., & Zeppelzauer, M. (2023). On the Robustness and Generalization Ability of Building Footprint Extraction on the example of SegNet and Mask R-CNN. Journal of Remote Sensing, 2135, 15(8). https://doi.org/10.3390/rs15082135
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy. IEEE Access, 11, 65906–65923. https://doi.org/10.1109/ACCESS.2023.3289986
Seidl, M., Zeppelzauer, M., & Roth, P. M. (Eds.). (2022). Proceedings of the OAGM Workshop 2021 - Computer Vision and Pattern Analysis Across Domains. Verlag der Technischen Universität Graz. http://dx.doi.org/10.3217/978-3-85125-869-1
Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10.1145/3474121
Strebl, J., Stumpe, E., Baumhauer, T., Kernstock, L., Seidl, M., & Zeppelzauer, M. (2022). One-Pixel Instance Segmentation of Leaves. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 6. https://doi.org/10.3217/978-3-85125-954-4-06
Beckmann, Rafael, Blaga, C., El-Assady, M., Zeppelzauer, M., & Bernard, J. (2022). Interactive Visual Explanation of Incremental Data Labeling. EuroVis Workshop on Visual Analytics (EuroVA), 6. https://doi.org/10.2312/eurova.20221073
Baumhauer, T., Schöttele, P., & Zeppelzauer, M. (2022). Machine Unlearning: Linear Filtration for Logit-based Classifiers. Journal on Machine Learning, 111(1), 3203–3226. https://doi.org/10.1007/s10994-022-06178-9
Baumhauer, T., Slijepcevic, D., & Zeppelzauer, M. (2022). Bounded logit attention: Learning to explain image classifiers. NeurIPS 2022 Workshop: All Things Attention: Bridging Different Perspectives on Attention. https://arxiv.org/pdf/2105.14824
Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. Proc. 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006
Tucek, G., Maidhof, C., Vogl, J., Heine, A., Zeppelzauer, M., Steinhoff, M., & Fachner, J. (2022). EEG Hyperscanning and Qualitative Analysis of Moments of Interest in Music Therapy for Stroke Rehabilitation - A Feasibility Study. Brain Science, 12(565). https://doi.org/10.3390/brainsci12050565
Liakhovets, D., Schütz, M., Böck, J., Andresel, M., Kirchknopf, A., Babic, A., Slijepčević, D., Lampert, J., Schindler, A., & Zeppelzauer, M. (2022). Transfer Learning for Automatic Sexism Detection with Multilingual Transformer Models. IberLEF 2022.
Despotovic, M., Zedong, Zhang, Stumpe, E., & Zeppelzauer, M. (2021). Case Study: Ensemble Decision-Based Annotation of Unconstrained Real Estate Images. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 6. https://doi.org/10.3217/978-3-85125-869-1-14
Stumpe, E., Despotovic, M., Zedong, Zhang, & Zeppelzauer, M. (2021). Real Estate Attribute Prediction from Multiple Visual Modalities with Missing Data. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 6. https://doi.org/10.3217/978-3-85125-869-1-06
Despotovic, M., Zhang, Z., Stumpe, E., & Zeppelzauer, M. (2021). Ensemble Decision-Based Annotation of Unconstrained Real Estate Images. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 2.
Kirchknopf, A., Slijepcevic, D., Wunderlich, I., Breiter, M., Traxler, J., & Zeppelzauer, M. (2021). Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections. Proceedings of the Workshop of the Austrian Association for Pattern Recognition, 3. https://doi.org/10.3217/978-3-85125-869-1-13
Slijepčević, D., Henzl, M., Klausner, L. D., Dam, T., Kieseberg, P., & Zeppelzauer, M. (2021). k‑Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers. Computers & Security, 111, 19. https://doi.org/10.1016/j.cose.2021.102488
Schütz, M., Boeck, J., Liakhovets, D., Slijepčević, S., Kirchknopf, A., Hecht, M., Bogensperger, J., Schlarb, S., Schindler, A., & Zeppelzauer, M. (2021). Automatic Sexism Detection with Multilingual Transformer Models. CEUR Workshop Proceedings, 2943, 10. http://ceur-ws.org/Vol-2943/exist_paper1.pdf
Koch, D., Despotovic, M., Thaler, S., & Zeppelzauer, M. (2021). Where do University Graduates live? – A Computer Vision Approach using Satellite Images. Applied Intelligence, 51, 8088–8105. https://doi.org/https://doi.org/10.1007/s10489-021-02268-8
Zielinski, B., Lipinski, M., Juda, M., Zeppelzauer, Matthias, & Dlotko, Pawel. (2021). Persistence Codebooks for Topological Data Analysis. Journal of Artificial Intelligence Review, 54, 1969–2009. https://doi.org/https://doi.org/10.1007/s10462-020-09897-4
Kirchknopf, A., Slijepcevic, D., & Zeppelzauer, M. (2021). Multimodal Detection of Information Disorder from Social Media. International Conference on Content-Based Multimedia Indexing (CBMI), 4. https://doi.org/10/gmxnm5
Bernard, Jürgen, Hutter, M., Sedlmair, M., Zeppelzauer, Matthias, & Munzner, Tamara. (2021). A Taxonomy of Property Measures to Unify Active Learning and Human-centered Approaches to Data Labeling. ACM Transactions on Interactive Intelligent Systems (TiiS), 11(3–4), 1–42. https://doi.org/10/gnt2wf
Boeck, J., Liakhovets, D., Schütz, M., Kirchknopf, A., Slijepcevic, D., Zeppelzauer, M., & Schindler, A. (2021). AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection with Multilingual Transformer Models. Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, 76–82. https://aclanthology.org/2021.germeval-1.11.pdf
Bernard, J., Hutter, M., Zeppelzauer, M., Sedlmair, M., & Munzner, T. (2021). ProSeCo: Visual analysis of class separation measures and dataset characteristics. Computers & Graphics, 96, 48–60. https://doi.org/https://doi.org/10.1016/j.cag.2021.03.004
Slijepcevic, D., Zeppelzauer, M., Schwab, Caterine, Raberger, A.-M., Breitender, C., & Horsak, B. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203. https://doi.org/10/ghz24x
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. Abstractband Des 3. GAMMA Kongress. 3. GAMMA Kongress.
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., Worisch, M., & Zeppelzauer, M. (2020). GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait. Scientific Data, 7:143(1), 1–8. https://doi.org/10/gh372d
Zeppelzauer, Matthias. (2020). Data over Sound. Kes - Die Zeitrschrift Für Informations-Sicherheit, 35(4), 56–61.
Koch, D., Despotovic, M., Sascha, L., Sakeena, M., Döller, M., & Zeppelzauer, M. (2020). Real Estate Image Analysis - A Literature Review. Journal of Real Estate Literature, 27(2), 269–300. https://doi.org/10/gnt2wg
Bernard, J., Hutter, M., Zeppelzauer, M., Sedlmair, M., & Munzner, T. (2020). SepEx: Visual Analysis of Class Separation Measures. EuroVis Workshop on Visual Analytics (EuroVA), 5. https://doi.org/10/gnt2wk
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2020). How High is the Tide? Estimation of Flood Level from Social Media. Proceedings of Joint Austrian Computer Vision and Robotics Workshop 2020, 2. https://doi.org/10/gnt2wh
Koch, D., Despotovic, M., Döller, M., Leiber, S., & Zeppelzauer, M. (2020). Computer Vision in Building Research: An Application for Prediction of Condition and Costs of a Property. Building Research & Information, Submitted.
Bernard, J., Hutter, M., Zeppelzauer, M., Sedlmair, M., & Munzner, T. (2020). ProSeCo: Visual Analysis of Class Separation Measures and Dataset Characteristics. Computers & Graphics, Submitted.
Zeppelzauer, Matthias. (2020). Retrieval of Multimodal Media Data [Habilitation Thesis]. TU Wien.
Koch, D., Despotovic, M., Döller, M., Leiber, S., & Zeppelzauer, M. (2020). Computer Vision in Building Research: An Application for Prediction of Condition and Costs of a Property. Building Research & Information, Submitted.
Slijepcevic, D., Raberger, A.-M., Zeppelzauer, M., Dumphart, B., Breiteneder, C., & Horsak, B. (2019). On the usefulness of statistical parameter mapping for feature selection in automated gait classification. Book of Abstracts of the 25th Conference of the European Society of Biomechanics (ESB), 1.
Slijepcevic, D., Raberger, A.-M., Zeppelzauer, M., Dumphart, B., Breiteneder, C., & Horsak, B. (2019). On the usefullness of statistical parameter mapping for feature selection in automated gait classification. Book of Abstracts of the 25th Conference of the European Society of Biomechanics (ESB), 1.
Bernard, J., Hutter, M., Ritter, C., Lehmann, M., Sedlmair, M., & Zeppelzauer, M. (2019). Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling. EuroVis Workshop on Visual Analytics (EuroVA). https://doi.org/10/ghpp2p
Zielinski, B., Lipinski, Michal, Juda, M., Zeppelzauer, M., & Dlotko, Pawel. (2019). Persistence Bag-of-Words for Topological Data Analysis. Proceedings of the International Joint Conference on Artificial Intelligence 2019, 6. https://doi.org/10/ghpp7z
Sakeena, Muntaha, & Zeppelzauer, Matthias. (2019). Combining Deep Learning and Variational Level Sets for Segmentation of Buildings. Proceedings of ARW & OAGM Workshop 2019, 2. https://doi.org/10/ghz24z
Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and analysis of heating energy demand for detached houses by computer vision. Energy & Buildings, 193, 29–35. https://doi.org/10/fsxn
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2019). Flood Level Estimation from Social Media Images. CEUR Proceedings of the MediaEval 2019 Workshop, 2670, 2.
Seidl, Markus, & Zeppelzauer, Matthias. (2019). Towards Distinction of Rock Art Pecking Styles with a Hybrid 2D/3D Approach. Proceedings of the International Conference on Content-Based Multimedia Indexing (CBMI), 4.
Bernard, Jürgen, Hutter, M., Sedlmair, M., Zeppelzauer, Matthias, & Munzner, Tamara. (2019). A taxonomy of property measures to support the explainability of the interactive data labeling process. ACM Transactions on Interactive Intelligent Systems (TiiS), Submitted.
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10/ghppzn
Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., Breiteneder, C., & Horsak, B. (2018). Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. Gait & Posture Supplement, 65. https://doi.org/10/gh38wn
Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., Breitender, C., & Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. Tagungsband Des 2ten GAMMA Kongress (Gesellschaft Für Die Analyse Menschlicher Motorik in Ihrer Klinischen Anwendung). 2ter GAMMA Kongress (Gesellschaft für die Analyse Menschlicher Motorik in ihrer klinischen Anwendung).
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., Breiteneder, C., & Horsak, B. (2018). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 5(22), 1653–1661. https://doi.org/10/ghz24w
Bernard, J., Zeppelzauer, M., Lehmann, M., Müller, M., & Sedlmair, M. (2018). Towards User-Centered Active Learning Algorithms. Computer Graphics Forum, 37, 121–132. https://doi.org/10/gdw79h
Zeppelzauer, M., Zielinski, B., Juda, M., & Seidl, M. (2018). A Study on Topological Descriptors for the Analysis of 3D Surface Texture. Journal on Computer Vision and Image Understanding (CVIU), 167, 74–88. https://doi.org/10/ghpp2h
Ritter, C., Altenhofen, C., Zeppelzauer, M., Kuijper, A., Schreck, T., & Bernard, J. (2018). Personalized Visual-Interactive Music Classification. EuroVis Workshop on Visual Analytics (EuroVA). https://doi.org/10/ghz24t
Musik, Christoph, & Zeppelzauer, Matthias. (2018). Computer Vision and the Digital Humanities: Adapting Image Processing Algorithms and Ground Truth through Active Learning. VIEW Journal of European Television History and Culture, 7(14), 59–72. https://doi.org/10/ggbmx7
Zeppelzauer, M., Ringot, A., & Taurer, F. (2018). SoniControl - A Mobile Ultrasonic Firewall. Proceedings of the ACM International Conference on Multimedia. ACM Multimedia Conference. https://doi.org/10/gh377f
Koch, D., Despotovic, M., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech - RETech"18, 12–17. https://doi.org/10/ghpp2m
Bernard, Jürgen, Hutter, Marco, Lehmann, Markus, Müller, Martin, Zeppelzauer, Matthias, & Sedlmair, Michael. (2018). Learning from the Best–Visual Analysis of a Quasi-Optimal Data Labeling Strategy. Proceedings of the Eurographics Conference on Visualization (EuroVis), 4.
Seidl, M., Moser, T., Blumenstein, K., Zeppelzauer, M., & Iber, M. (Eds.). (2018). FMT 2018 - Proceedings of the 11th Forum Media Technology and 4th All Around Audio Symposium. CEUR-WS.org. http://ceur-ws.org/Vol-2299/
Kirchknopf, A., Slijepcevic, D., Zeppelzauer, M., & Seidl, M. (2018). Detection of Road Passability from Social Media and Satellite Images. CEUR Proceedings of the MediaEval 2018 Workshop, 2.
Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2018). VIAL – A Unified Process for Visual-Interactive Labeling. The Visual Computer, 34(1189), 16. https://doi.org/10/gd5hr3
Zeppelzauer, M., Despotovic, M., Sakeena, M., Koch, D., & Döller, M. (2018). Automatic Prediction of Building Age from Photographs. Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR "18), 126–134. https://doi.org/10/ghpp2k
Poier, G., Seidl, M., Zeppelzauer, M., Reinbacher, C., Schaich, M., Bellandi, G., Marretta, A., & Bischof, H. (2017). The 3D-Pitoti Dataset: A Dataset for High-resolution 3D Surface Segmentation. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI "17, 5:1-5:7. https://doi.org/10/ghpp2j
Slijepcevic, D., Horsak, B., Schwab, C., Raberger, A.-M., Schüller, M., Baca, A., Breitender, C., & Zeppelzauer, M. (2017). Ground reaction force measurements for gait classification tasks: Effects of different PCA-based representations. Gait & Posture Supplement, 57, 4–5. https://doi.org/10.1016/j.gaitpost.2017
Despotovic, M., Sakeena, M., Koch, D., Döller, M., & Zeppelzauer, M. (2017). Predicting Heating Energy Demand by Computer Vision. Computer Science - Research and Development, 1, 33, 231–232. https://doi.org/10/gh3772
Bernard, J., Ritter, C., Sessler, D., Zeppelzauer, M., Kohlhammer, J., & Fellner, D. (2017). Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis. Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, 75–87. https://doi.org/10/ghz24s
Poier, G., Seidl, M., Zeppelzauer, M., Reinbacher, C., Schaich, M., Bellandi, G., Marretta, A., & Bischof, H. (2017). The 3D-Pitoti Dataset: A Dataset for high-resolution 3D Surface Segmentation. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI "17, 1–7. https://doi.org/10/ghpp2j
Bernard, Jürgen, Hutter, M., Zeppelzauer, M., Fellner, D., & Sedlmair, M. (2017). Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study. IEEE Transactions on Visualization and Computer Graphics (TVCG), 24(1). https://doi.org/10/gcqb3r
Koch, D., Zeppelzauer, M., Despotovic, M., Döller, M., & others. (2017). Automatic image analysis and real estate. European Real Estate Society (ERES).
Aigner, W., Moser, T., Blumenstein, K., Zeppelzauer, M., Iber, M., & Schmiedl, G. (Eds.). (2017). FMT 2017 - Proceedings of the 10th Forum Media Technology and 3rd All Around Audio Symposium. CEUR-WS.org. http://ceur-ws.org/Vol-2009/
Muhr, V., Despotovic, M., Koch, D., Döller, Mario, & Zeppelzauer, M. (2017). Towards Automated Real Estate Assessment from Satellite Images with CNNs. In Proceedings of the 10th Forum Media Technology (FMT), 2009, 14–23.
Bernard, Jürgen, Zeppelzauer, Matthias, Sedlmair, Michael, & Hutter, M. (2017). A Unified Process for Visual-Interactive Labeling. In Proceedings of the 8th International EuroVis Workshop on Visual Analytics.
Aigner, W., Schmiedl, G., Blumenstein, K., Zeppelzauer, M., & Iber, M. (Eds.). (2016). FMT 2016 - Proceedings of the 9th Forum Media Technology and 2nd All Around Audio Symposium. CEUR-WS.org. http://ceur-ws.org/Vol-1734/
Zeppelzauer, M., Poier, G., Seidl, M., Reinbacher, C., Schulter, Samuel, C., Breiteneder, C., & Bischof, Horst. (2016). Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization. ACM Journal on Computing and Cultural Heritage, 9(4), 19:1-19:30. https://doi.org/10/ghpp2n
Wieser, E., Seidl, M., & Zeppelzauer, M. (2016). A Study on Skeletonization of Complex Petroglyph Shapes. Multimedia Tools and Applications (Springer), 1–19. https://doi.org/10/ghpp2r
Zeppelzauer, M., & Schopfhauser, D. (2016). Multimodal classification of events in social media. Image and Vision Computing. https://doi.org/10/ghpp2q
Zeppelzauer, M., Zielinski, B., Juda, M., & Seidl, M. (2016). Topological descriptors for 3D surface analysis. In Proceedings of 6th International Workshop on Computational Topology in Image Context, 9667, 77–87. https://doi.org/10/gh377g
Rind, A., Pfahler, D., Niederer, C., & Aigner, W. (2016). Exploring Media Transparency With Multiple Views. In W. Aigner, G. Schmiedl, K. Blumenstein, & M. Zeppelzauer (Eds.), Proceedings of the 9th Forum Media Technology 2016 (pp. 65–73). CEUR-WS.org. http://ceur-ws.org/Vol-1734/fmt-proceedings-2016-paper8.pdf
Zeppelzauer, M., Zielinski, B., Juda, M., & Seidl, M. (2016). A Study on Topological Descriptors for the Analysis of 3D Surface Texture. Journal on Computer and System Sciences, 60.
Zeppelzauer, M., Poier, G., Seidl, M., Reinbacher, C., Breiteneder, C., & Bischof, H. (2015). Interactive Segmentation of Rock-Art in High-Resolution 3D Reconstructions. Conference Proceedings of Digital Heritage 2015 Full Papers.
Zeppelzauer, M., & Stöger, A. (2015). Establishing the fundamentals for an elephant early warning and monitoring system. BMC Research Notes, 8:409, 15. https://doi.org/10/gb3pth
Lidon, A., Bolanos, M., Seidl, M., Giro-i-Nieto, X., Radeva, P., & Zeppelzauer, M. (2015). UPC-UB-STP @ MediaEval 2015 Diversity Task: Iterative Reranking of Relevant Images. MediaEval Workshop, 2. https://imatge.upc.edu/web/sites/default/files/pub/cLidon.pdf
Blumenstein, K., Wagner, M., Aigner, W., von Suess, R., Prochaska, H., Püringer, J., Zeppelzauer, M., & Sedlmair, M. (2015). Interactive Data Visualization for Second Screen Applications: State of the Art and Technical Challenges. In H.-J. Schulz, B. Urban, & U. Freiherr von Lukas (Eds.), Proceedings of the International Summer School on Visual Computing (pp. 35–48). Frauenhoferverlag. https://research.fhstp.ac.at/content/download/128715/file/Blumenstein_et_al_2015_Interactive_Data_Visualization_for_Second_Screen.pdf?inLanguage=ger-DE
Zaharieva, M., Del Fabro, M., & Zeppelzauer, M. (2015). Cross-Platform Social Event Detection. IEEE Multimedia, 22(3), 14. https://doi.org/10/gh3773
Salvador, A., Zeppelzauer, M., Manchón-Vizuente, D., Calafell, A., & Giró-i-Nieto, X. (2015, April 28). Cultural Event Recognition with Visual ConvNets and Temporal Models. Proceedings of the CVPR Workshop ChaLearn Looking at People 2015. Computer Vision and Pattern Recognition (CVPR). http://arxiv.org/abs/1504.06567
Zaharieva, M., Zeppelzauer, M., Del Fabro, M., & Schopfhauser, D. (2015, March 24). Social Event Mining in Large Photo Collections. Proceedings of the International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval.
Zeppelzauer, M., & Seidl, M. (2015). Efficient Image-Space Extraction and Representation of 3D Surface Topography. Conference Proceedings of ICIP - IEEE International Conference on Image Processing 2015, 2845–2849. https://doi.org/10/ghp4kc
Zeppelzauer, M., Wieser, E., & Seidl, M. (2015). A Novel Annotation Tool for Complex Petroglyph Shapes. The Future of Datasets in Vision Workshop (in Conjunction with CVPR 2015).
Seidl, M., Wieser, E., Zeppelzauer, M., Pinz, A., & Breiteneder, C. (2015). Graph-Based Shape Similarity of Petroglyphs. In L. Agapito, M. M. Bronstein, & C. Rother (Eds.), Computer Vision - ECCV 2014 Workshops (Vol. 8925, pp. 133–148). Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-16178-5_9
Zaharieva, M., Schopfhauser, D., Del Fabro, M., & Zeppelzauer, M. (2014). Clustering and Retrieval of Social Events in Flickr. CEUR Workshop Proceedings, 1043, 2. http://wwwu.edu.uni-klu.ac.at/miriegle/mediaeval/mediaEval2014.html
Sageder, G., Zaharieva, M., & Zeppelzauer, M. (2014). Unsupervised Selection of Robust Audio Feature Subsets. In Proceedings of the International Conference on Data Mining (SIAM). https://doi.org/10/gh3776
Zeppelzauer, M., Hensman, S., & Stöger, A. (2014). Towards an automated acoustic detection system for free-ranging elephants. Bioacoustics, 24, 13–19. https://doi.org/10/f3st62
Stöger, A., Zeppelzauer, M., & Baotic, A. (2014). Age group estimation in free-ranging African elephants based on acoustic cues of low-frequency rumbles. Bioacoustics, 23.
Zeppelzauer, M. (2013). Automated detection of elephants in wildlife video. EURASIP Journal on Image and Video Processing, 2013(1), 46. https://doi.org/10/f3snb6
Zeppelzauer, M., Stöger, A., & Breiteneder, C. (2013). Acoustic Detection of Elephant Presence in Noisy Environments. Proceedings of the 2nd ACM International Workshop on Multimedia Analysis for Ecological Data (in Conjunction with ACM Multimedia Conference 2013), 3–8. https://doi.org/10/gh3775
Zaharieva, M., Zeppelzauer, M., & Breiteneder, C. (2013). Automated social event detection in large photo collections. Proceedings of the International ACM Conference on Multimedia Retrieval, 167–174. https://doi.org/10/gh3774
Zeppelzauer, M., Zaharieva, M., & Del Fabro, M. (2013). Unsupervised Clustering of Social Events. CEUR Workshop Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 1043. http://ceur-ws.org/Vol-1043
Stöger, A., Heimann, G., Zeppelzauer, M., Ganswindt, A., Hensman, S., & Charlton, B. (2012). Visualizing Sound Emission of Elephant Vocalizations: Evidence for Two Rumble Production Types. Plos One, 7(11:e48907). http://dx.plos.org/10.1371/journal.pone.0048907
Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2012). Archive Film Material – A novel Challenge for Automated Film Analysis. Frames Cinema Journal, (1). http://framescinemajournal.com/article/archive-film-material-a-novel-challenge/
Zeppelzauer, M., Zaharieva, M., & Breiteneder, C. (2012). A Generic Approach for Social Event Detection in Large Photo Collections. In CEUR Workshop Proceedings of the MediaEval 2012 Multimedia Benchmark Workshop. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.416.9676&rep=rep1&type=pdf
Zeppelzauer, M., Zaharieva, M., Mitrović, D., & Breiteneder, C. (2011). Retrieval of motion composition in film. Digital Creativity, 22(4), 219–234. https://doi.org/10/fxp886
Seidl, M., Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2011). Gradual transition detection in historic film material —a systematic study. J. Comput. Cult. Herit., 4(3), 10:1-10:18. https://doi.org/10/fzsqr8
Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2011). Cross-Modal Analysis of Audio-Visual Film Montage. Proceedings of 20th International Conference on Computer Communications and Networks. https://doi.org/10/b8tnsx
Zeppelzauer, M., & Mitrović, D. (2011). Syntactic and Semantic Concepts in Audio-Visual Media [PhD Thesis, Vienna University of Technology]. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.228.6825&rep=rep1&type=pdf
Mitrović, D., Zeppelzauer, M., Zaharieva, M., & Breiteneder, C. (2011). Retrieval of visual composition in film. WIAMIS 2011: 12th International Workshop on Image Analysis for Multimedia Interactive Services, 4. https://www.ims.tuwien.ac.at/publications/tuw-196528.pdf
Seidl, M., Zeppelzauer, M., & Breiteneder, C. (2010). A study of gradual transition detection in historic film material. Proceedings of the Second Workshop on eHeritage and Digital Art Preservation - eHeritage "10, 13. https://doi.org/10/bk2dng
Zaharieva, M., Mitrović, D., Zeppelzauer, M., & Breiteneder, C. (2010). Film Analysis of Archive Documentaries. IEEE Multimedia, 18(2), 38–47. https://doi.org/10/ds9kd8
Zaharieva, M., Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2010). Archive film comparison. International Journal of Multimedia Data Engineering and Management, 1(3), 41–56. https://doi.org/10/fwjqsc
Zaharieva, M., Zeppelzauer, M., Breiteneder, C., & Mitrović, D. (2010). Camera Take Reconstruction. Proceedings of Multimedia Modeling Conference, 379–388. http://link.springer.com/chapter/10.1007/978-3-642-11301-7_39⋕page-1
Zeppelzauer, M., Zaharieva, M., Mitrović, D., & Breiteneder, C. (2010). A Novel Trajectory Clustering Approach for Motion Segmentation. Proceedings of Multimedia Modeling Conference, 433–443. http://link.springer.com/chapter/10.1007/978-3-642-11301-7_44⋕page-1
Mitrović, D., Zeppelzauer, M., & Breiteneder, C. (2010). Features for Content-Based Audio Retrieval. In Advances in Computers (Vol. 78, pp. 71–150). Burlington: Academic Press. http://www.sciencedirect.com/science/article/pii/S0065245810780037
Mitrović, D., Hartlieb, S., Zeppelzauer, M., & Zaharieva, M. (2010). Scene Segmentation in Artistic Archive Documentaries. HCI in Work and Learning, Life and Leisure, Lecture Notes in Computer Science, 6389, 400–410. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.228.2216&rep=rep1&type=pdf
Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2009). Automatic Analysis - First Results in Shot Boundary Detection. Maske Und Kothurn, 55(3), 45–59. https://doi.org/10/gh3778
Zaharieva, M., Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2009). Finding the Missing Piece: Content-Based Video Comparison. Proceedings of the 11th IEEE International Symposium on Multimedia (ISM 2009), 330–335. https://doi.org/10/ff4dpf
Mitrović, D., Zeppelzauer, M., & Eidenberger, H. (2009). On Feature Selection in Environmental Sound Recognition. Proceedings of the 51st International Symposium ELMAR-2009, 201–204. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5342826
Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2008). Analysis of Historical Artistic Documentaries. Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services, 201–206. http://www.researchgate.net/profile/Matthias_Zeppelzauer/publication/4350166_Analysis_of_Historical_Artistic_Documentaries/links/09e41507e7aeea59fd000000.pdf
Mitrović, D., Zeppelzauer, M., & Eidenberger, H. (2007). Analysis of the Data Quality of Audio Descriptions of Environmental Sounds. Journal of Digital Information Management, 5, 48–55. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.68.1611&rep=rep1&type=pdf
Kropf, V., Zeppelzauer, M., Hahn, S., & Mitrović, D. (2007). First Steps Towards Digital Formalism: The Vienna Vertov Collection. Proceedings of the International Workshop on Digital Tools in Film Studies, 117–131. http://publik.tuwien.ac.at/showentry.php?ID=179578&lang=1
Zeppelzauer, M. (2006). Discrimination and Retrieval of Animal Sounds [Diploma Thesis]. Vienna University of Technology.
Mitrović, D., Zeppelzauer, M., & Breiteneder, C. (2006). Discrimination and Retrieval of Animal Sounds. Proceedings of the IEEE Conference on Multimedia Modeling, 339–343. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1651344
currently on leave
Head of
Media Computing Research Group
Institute of Creative\Media/Technologies
Department of Media and Digital Technologies
Head of
Media Computing Research Group
Institute of Creative\Media/Technologies
Department of Media and Digital Technologies