Publikationen

Dorozynski, M. (2023): Image classification and retrieval in the context of silk heritage using deep learning. In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, ISSN 0174-1454, Nr. 390, Dissertation, Hannover. | Datei |

Dorozynski M., Rottensteiner F. (2022): Deep descriptor learning with auxiliary classification loss for retrieving images of silk fabrics in the context of preserving European silk heritage. ISPRS International Journal of Geo-Information 11(2), paper 82
DOI: 10.3390/ijgi11020082

Rei, L.; Mladenic, D.; Dorozynski, M.; Rottensteiner, F.; Schleider, T.; Troncy, R.; Sebastián Lozano, J.; Gaitán Salvatella, M. (2022): Multimodal metadata assignment for cultural heritage artifacts, In: Multimedia Systems, 1-23.
DOI: 10.1007/s00530-022-01025-2

Alba Pagán, E.; Gaitán Salvatella, M.; Pitarch, M. D.; León Muñoz, A.; Moya Toledo, M.; Marin Ruiz, J.; Vitella, M.; Lo Cicero, G.; Rottensteiner, F.; Clermont, D.; Dorozynski, M.; Wittich , D.; Vernus, P.; Puren, M. (2020): From silk to digital technologies: A gateway to new opportunities for creative industries, traditional crafts and designers. The SILKNOW case, In: Sustainability 12(19), paper 8279. Weitere Informationen
DOI: 10.3390/su12198279

Dorozynski, M., Rottensteiner, F., Thiemann, F., Sester, M., Dahms, T., Hovenbitzer, M. (2024): Multi-modal land cover classification of historical aerial images and topographic maps: a comparative study. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4-2024, pp. 107-115.
DOI: 10.5194/isprs-annals-X-4-2024-107-2024

Heidarianbaei, M., Kanyamahanga, H., Dorozynski, M. (2024): Enhancing Multi-Sensor Land Cover Classification Through Transformer-Based Utilization of Satellite Image Time Series, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 169–177.
DOI: 10.5194/isprs-annals-X-3-2024-169-2024

Dorozynski, M. (2023): Addressing class imbalance for training a multi-task classifier in the context of silk heritage, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1/W1-2023, 175–184.
DOI: 10.5194/isprs-annals-X-1-W1-2023-175-2023

Schleider T., Troncy R., Ehrhart T., Dorozynski M., Rottensteiner F., Sebastián Lozano J., Lo Cicero, G. (2021): Searching silk fabrics by images leveraging on knowledge graph and domain expert rules. In: SUMAC'21: Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge, pp. 41–49.
DOI: https://doi.org/10.1145/3475720.3484445

Clermont, D.; Dorozynski, M.; Wittich, D.; Rottensteiner, F. (2020): Assessing the semantic similarity of images of silk fabrics using convolutional neural networks. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2, pp. 641–648. Weitere Informationen
DOI: 10.5194/isprs-annals-V-2-2020-641-2020

Dorozynski, M.; Clermont, D.; Rottensteiner, F. (2019): Multi-task deep learning with incomplete training samples for the image-based prediction of variables describing silk fabrics. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W6, pp. 47–54.
DOI: 10.5194/isprs-annals-IV-2-W6-47-2019

Ali, R., Dorozynski, M., Stracke, J., and Mehltretter, M. (2022): DEEP LEARNING-BASED TRACKING OF MULTIPLE OBJECTS IN THE CONTEXT OF FARM ANIMAL ETHOLOGY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 509–516
DOI: 10.5194/isprs-archives-XLIII-B2-2022-509-2022

Dorozynski, M. and Rottensteiner, F. (2022): ADDRESSING CLASS IMBALANCE IN MULTI-CLASS IMAGE CLASSIFICATION BY MEANS OF AUXILIARY FEATURE SPACE RESTRICTIONS , Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 777–785
DOI: 10.5194/isprs-archives-XLIII-B2-2022-777-2022

Dorozynski, M.; Wittich, D.; Rottensteiner, F., Clermont, D. (2021): Artificial intelligence meets cultural heritage: image classification for the prediction of semantic properties of silk fabrics. Weaving Europe. Silk Heritage and Digital Technologies, ISBN 978-84-18656-97-2, pp.147-166, Tirant lo Blanch, Valencia (Spain) Weitere Informationen

Dorozynski, M.; Wittich, D.; Rottensteiner, F. (2019): Deep Learning zur Analyse von Bildern von Seidenstoffen für Anwendungen im Kontext der Bewahrung des kulturellen Erbes. 39. Wissenschaftlich-Technische Jahrestagung der DGPF und Dreiländertagung der OVG, DGPF und SGPF in Wien, Publikationen der DGPF Band 28, 387-399. Weitere Informationen