Publikationen von Matthias Zeppelzauer
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.
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, 113, 125–126. https://doi.org/10.1016/j.gaitpost.2024.07.140
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, 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, 113, 215–216. https://doi.org/10.1016/j.gaitpost.2024.07.232
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
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
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.
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
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), Odense, Denmark. http://arxiv.org/abs/2405.08150
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, 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, 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, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045
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
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
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, 15(8). https://doi.org/10.3390/rs15082135
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
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
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
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
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, St. Poelten (Austria).
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
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., Slijepcevic, D., & Zeppelzauer, M. (2022). Bounded logit attention: Learning to explain image classifiers. NeurIPS 2022 Workshop: All Things Attention: Bridging Different Perspectives on Attention, New Orleans, USA. https://arxiv.org/pdf/2105.14824
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.
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
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
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
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
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
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
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
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
Zeppelzauer, M. (2020, November 11). Retrieval Methods for Multimodal Media Data [Habilitation Defense]. Habilitation Defensio, TU Wien.
Zeppelzauer, M. (2020, April 23). Introduction to Convolutional and Recurrent Neural Networks [Test Lecture]. Test Lecture in the course of the habilitation process, TU Wien.
Zeppelzauer, M. (2020, March 3). The Institute of Creative Media Technologies [Invited Talk]. Wintergraph, Bad Gastein.
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.
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.
Zeppelzauer, Matthias. (2020). Data over Sound. Kes - Die Zeitrschrift Für Informations-Sicherheit, 35(4), 56–61.
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
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.
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, München, Deutschland.
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
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., 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
Zeppelzauer, M. (2019, November 15). Topological Descriptors for 3D Surface Analysis [Invited Talk]. Neural Networks Meeting, Seville, Spain.
Zeppelzauer, M. (2019, November 13). Persistence Codebooks for Topological Data Analysis [Invited Talk]. Neural Networks Meeting, Seville, Spain.
Zeppelzauer, M. (2019, November 13). Persistence Codebooks for Topological Data Analysis [Invited Talk]. Neural Networks Meeting, Seville, Spain.
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.
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.
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.
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
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
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.
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
Zeppelzauer, M. (2019). Towards an automated acoustic detection system for free-ranging elephants. Human Elephant Conflict and Behavior Workshop, Bela Bela, South Africa.
Zeppelzauer, M. (2018, November 30). Data over Sound: Risks and Chances of an emerging Communication Channel [Invited talk]. Reversing and Offensive-oriented Trends Symposium (ROOTS), in conjunction with the DeepSec Conference 2018, Vienna, Austria.
Zeppelzauer, M., Ringot, A., & Taurer, F. (2018, July 19). SoniControl - A Mobile Ultrasonic Firewall [Demo Talk]. ACM Multimedia 2018, Seoul, South Korea. http://arxiv.org/abs/1807.07617
Zeppelzauer, M. (2018, June 29). IntelliGait - Automatic gait pattern analysis for robust classification of functional deficits [Invited talk]. Build Well Being, St. Pölten, Austria.
Zeppelzauer, M. (2018, June 28). SoniControl - The first ultrasonic firewall for mobile devices [Keynote]. Digital Lifestyle Preview, Munich, Germany.
Zeppelzauer, M. (2018, June 28). SoniControl – Die erste Ultraschall-Firewall für Handys [Keynote]. Digital Livestyle Preview, Munich, Germany.
Zeppelzauer, M. (2018, June 25). Persistence Codebooks for Topological Data Analysis [Conference Talk]. Algebraic Topology: Methods, Computation and Science (ATMCS8), IST Austria, Klosterneuburg, Austria.
Zeppelzauer, M. (2018, June 20). IntelliGait - Automatic gait pattern analysis for robust classification of functional deficits [Invited talk]. Build.Well.Being, St. Pölten, Austria.
Zeppelzauer, M. (2018, April 5). Content-Based Analysis of Stylistic Features in Archive Documentaries [Invited talk]. Workshop on Computer-based Approaches for the Analysis of Film Style, Potsdam, Germany.
Zeppelzauer, M. (2018, December 4). Visual Pattern Discovery by Deep Learning for the Extraction of Building Characteristics [Invited talk]. Jagiellonian University, Krakow, Poland.
Zeppelzauer, M. (2018, January 3). Automatic Approaches for the Analysis, Retrieval, and Annotation of Film and Video [Invited talk]. DHd-Tagung 2018: Panel Computergestützte Film- und Videoanalyse, Köln, Deutschland.
Zeppelzauer, M. (2018, July 2). On the principles of feature extraction for visual analysis in media history: a brief introduction [Invited talk]. SEMIA Workshop 1, Amsterdam, Netherlands.
Zeppelzauer, M. (2018, January 22). Ultrasonic Communication Risks and Chances of a Novel Technology [Invited talk]. Netzpolitischer Abend, Wien, Austria.
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), Hamburg, Deutschland.
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
Zeppelzauer, M., Ringot, A., & Taurer, F. (2018). SoniControl - A Mobile Ultrasonic Firewall. Proceedings of the ACM International Conference on Multimedia. ACM Multimedia Conference, Seoul, South Korea. 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.
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.
Zeppelzauer, M. (2018). Acoustic Wildlife Monitoring: Automatic Analysis of Elephant Vocalizations. Seminar, Acoustics Research Institute, Austrian Academy of Sciences (ÖAW), Vienna, Austria.
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
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., 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
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
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
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/
Zeppelzauer, M., Alexis Ringot, & Florian Taurer. (2018, September 6). Project SoniTalk [Exhibition]. ARS Electronica Festival, Linz, Austria.
Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. http://dl.acm.org/citation.cfm?doid=3210499.3210526
Zeppelzauer, M. (2018). Automatic Prediction of Building Age from Photographs. http://dl.acm.org/citation.cfm?doid=3206025.3206060
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
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, 5:1-5:7. https://doi.org/10/ghpp2j
Zeppelzauer, M. (2017, July 3). Automated Analysis, Retrieval and Annotation of Video and Film [Invited talk]. Symposium Film Rechnen, University Regensburg, Germany.
Zeppelzauer, M. (2017, June 8). Acoustic Ultrasound Tracking [Invited talk]. Fachkonferenz The Mobile Enterprise, Novomatic Forum, Vienna, Austria.
Zeppelzauer, M. (2017, May 24). Retrieval Methods for Multimodal Media Data [Habilitation Proposition]. Propositions of Habilitation Candidates of the Faculty of Informatics, Vienna University of Technology, Austria.
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
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.
Koch, D., Zeppelzauer, M., Despotovic, M., Döller, M., & others. (2017). Automatic image analysis and real estate. European Real Estate Society (ERES).
Zeppelzauer, M. (2017, 29). Ultrasonic Communication Risks and Chances of a Novel Technology [Invited talk]. All Around Audio Symposium, St. Pölten, Austria.
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/
Zeppelzauer, M., & Alexis Ringot. (2017, 17). Project SoniTalk [Invited talk]. Netidee best of, Vienna, Austria. https://www.fhstp.ac.at/de/newsroom/news/erfolg-fuer-sonitalk-beim-netidee-community-event?filter=awards
Zeppelzauer, M. (2017, September 7). Project SoniControl [Exhibition]. ARS Electronica Festival, Linz, Austria.
Despotovic, M., Sakeena, M., Koch, D., Döller, M., & Zeppelzauer, M. (2017). Predicting Heating Energy Demand by Computer Vision. Computer Science - Research and Development, 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
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
Zeppelzauer, M. (2016, May 30). Carneval in Rio or St. Patricks Day? Detecting Events in Social Media [Invited talk]. Vienna Data Science Meeting, Vienna, Austria.
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
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). A Study on Topological Descriptors for the Analysis of 3D Surface Texture. Journal on Computer and System Sciences, 60.
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
Zeppelzauer, M. (2015). Acoustic Wildlife Monitoring. All Around Audio: Products - Applications – Environments, St. Pölten, Austria.
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
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), Boston, Massachusetts, United States. http://mc.fhstp.ac.at/content/novel_annotation_tool_complex_petroglyph_shapes
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), Boston, Massachusetts, United States. 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, Shanghai, China.
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).
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
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
Zeppelzauer, M. (2014, April 6). Multimedia Processing – From Ancient Rock Art to Social Web Media. ERASMUS Antrittsbesuch, Jagiellonian University Krakau. http://www.uj.edu.pl/en/wydzialy/wmii
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.
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. (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
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
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
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
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., 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
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
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
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
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
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
Forschungsgruppenleiter
Forschungsgruppe Media Computing
Institut für Creative\Media/Technologies
Department Medien und Digitale Technologien
Forschungsgruppe Media Computing
Institut für Creative\Media/Technologies
Department Medien und Digitale Technologien