Armin Dadras BA BSc MSc
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Junior Researcher
Media Computing Research Group
Institute of Creative\Media/Technologies - Department of Media and Digital Technologies
Location: A - Campus-Platz 1
Departments
- Media and Digital Technologies
Publications
Dadras, A., Sablatnig, R., Proksa, F., & Seidl, M. (2027). Semantically Stable Image Composition Analysis via Saliency and Gradient Vector Flow Fusion. In M. De Marsico, T. K. Ho, F. Jurie, C.-L. Liu, D. Lopresti, I. Nyström, J.-M. Ogier, A. Ross, & L. Wang (Eds.), Pattern Recognition (pp. 530–544). Springer Nature Switzerland. https://doi.org/https://doi.org/10.1007/978-3-032-31666-0_35
Lin, T., Dadras, A., Kleber, F., & Sablatnig, R. (2025). DGME-t: Directional grid motion encoding for transformer-based historical camera movement classification. SUMAC "25: Proceedings of the 7th International Workshop on analySis, Understanding and proMotion of heritAge Contents, 13–21. https://doi.org/10.1145/3746273.3760209
Dadras, A., Lin, T., Sablatnig, R., & Seidl, M. (2025). Rule-of-Thirds Detection with Interpretable Geometric Features. Proceedings of the 7th International Workshop on analySis, Understanding and proMotion of heritAge Contents (SUMAC ´25). ACM Multimedia 2025. https://doi.org/10.1145/3746273.3760202
Dadras, A., & Aichinger, P. (2024). Deep Learning-Based Detection of Glottis Segmentation Failures. Bioengineering, 11(5), 443. https://doi.org/10.3390/bioengineering11050443
González, C., Gotkowski, K., Fuchs, M., Bucher, A., Dadras, A., Fischbach, R., Kaltenborn, I. J., & Mukhopadhyay, A. (2022). Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. Medical Image Analysis, 82, 102596. https://doi.org/10.1016/j.media.2022.102596