Thomas Heitzinger

Projektass. Dipl.-Ing. Dipl.-Ing. / BSc

Thomas Heitzinger

Role

PreDoc Researcher
Computer Vision, E193-01

Contact

Publications

A Fast Unified System for 3D Object Detection and Tracking / Heitzinger, T., & Kampel, M. (2023). A Fast Unified System for 3D Object Detection and Tracking. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV 2023). Proceedings (pp. 16998–17008). IEEE. https://doi.org/10.34726/5417
Download: PDF (1.59 MB)
Projects: Algo-care (2021–2025) / KIIS (2021–2023)
Artist-specific style transfer for semantic segmentation of paintings: The value of large corpora of surrogate artworks / Heitzinger, T., Woedlinger, M., & Stork, D. G. (2022). Artist-specific style transfer for semantic segmentation of paintings: The value of large corpora of surrogate artworks. In Proc. IS&T Int’l. Symp. on Electronic Imaging: Computer Vision and Image Analysis of Art (pp. 186-1-186–6). https://doi.org/10.2352/EI.2022.34.13.CVAA-186
Improving semantic segmentation of fine art images using photographs rendered in a style learned from artworks / Heitzinger, T., & Stork, D. G. (2022). Improving semantic segmentation of fine art images using photographs rendered in a style learned from artworks. In IS&T International Symposium on Electronic Imaging. International Symposium on Electronic Imaging: Computer Vision and Image Analysis of Art 2022 (CVAA2022), United States of America (the). https://doi.org/10.2352/EI.2022.34.13.CVAA-169
IPT: A Dataset for Identity Preserved Tracking in Closed Domains / Heitzinger, T., & Kampel, M. (2021). IPT: A Dataset for Identity Preserved Tracking in Closed Domains. In 2020 25th International Conference on Pattern Recognition (ICPR). The 25th International Conference on Pattern Recognition (ICPR 2020), Mailand, Italy. https://doi.org/10.1109/icpr48806.2021.9412979
A Foundation for 3D Human Behavior Detection in Privacy-Sensitive Domains / Heitzinger, T., & Kampel, M. (2021). A Foundation for 3D Human Behavior Detection in Privacy-Sensitive Domains. In 32nd British Machine Vision Conference 2021. The 32nd British Machine Vision Conference, Manchester, United Kingdom of Great Britain and Northern Ireland (the).
Project: MaLeStV (2019–2021)
Highly Accurate Binary Image Segmentation for Cars / Heitzinger, T., & Kampel, M. (2020). Highly Accurate Binary Image Segmentation for Cars. In P. M. Roth (Ed.), Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020 (pp. 116–121). Austrian Association for Pattern Recognition (ÖAGM/AAPR). https://doi.org/10.3217/978-3-85125-752-6
High accuracy image segmentation for motor vehicles / Heitzinger, T. (2019). High accuracy image segmentation for motor vehicles [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.66207
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Supervisions

Multimodal machine learning to alleviate data scarcity : Trimodal datast generation / Stippel, C. (2024). Multimodal machine learning to alleviate data scarcity : Trimodal datast generation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.113540
Download: PDF (3.13 MB)