Diana Marin

Projektass.in Dr.techn. / BSc MEng.

Role

PostDoc Researcher
Virtual and Augmented Reality, E193-03

Contact

Publications

Scan2Beams: Moving Towards Automated Modelling and Analysis of Structural Industrial Building Stock / Reisinger, J., Marin, D., Rufinatscha, P., & Kan, P. (2025). Scan2Beams: Moving Towards Automated Modelling and Analysis of Structural Industrial Building Stock. In Proceedings of the 2025 European Conference on Computing in Construction. 2025 European Conference on Computing in Construction EC3, Porto, Portugal. https://doi.org/10.35490/EC3.2025.194
Project: RE:STOCK INDUSTRY (2024–2027)
Proximity-based point cloud reconstruction / Marin, D. (2025). Proximity-based point cloud reconstruction [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.128668
Download: PDF (37.4 MB)
Reconstructing Curves from Sparse Samples on Riemannian Manifolds / Marin, D., Maggioli, F., Melzi, S., Ohrhallinger, S., & Wimmer, M. (2024, June 25). Reconstructing Curves from Sparse Samples on Riemannian Manifolds [Conference Presentation]. Symposium on Geometry Processing, Boston, United States of America (the). http://hdl.handle.net/20.500.12708/202064
Project: Modeling the World at Scale (2020–2026)
Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities / Ehlers, H., Marin, D., Wu, H.-Y., & Raidou, R. (2024). Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP (pp. 697–708). https://doi.org/10.5220/0012431200003660
SING: Stability-Incorporated Neighborhood Graph / Marin, D., Parakkat, A. D., Ohrhallinger, S., Wimmer, M., Oudot, S., & Memari, P. (2024). SING: Stability-Incorporated Neighborhood Graph. In T. Igarashi, A. Shamir, & H. Zhang (Eds.), SA ’24: SIGGRAPH Asia 2024 Conference Papers (pp. 1–10). Association for Computing Machinery. https://doi.org/10.1145/3680528.3687674
Project: Modeling the World at Scale (2020–2026)
Distributed Surface Reconstruction / Marin, D., Komon, P., Ohrhallinger, S., & Wimmer, M. (2024). Distributed Surface Reconstruction. In L. Liu & M. Averkiou (Eds.), EG 2024 - Posters. https://doi.org/10.2312/egp.20241037
Project: Modeling the World at Scale (2020–2026)
Reconstructing Curves from Sparse Samples on Riemannian Manifolds / Marin, D., Maggioli, F., Melzi, S., Ohrhallinger, S., & Wimmer, M. (2024). Reconstructing Curves from Sparse Samples on Riemannian Manifolds. Computer Graphics Forum, 43(5), Article e15136. https://doi.org/10.1111/cgf.15136
Project: Modeling the World at Scale (2020–2026)
Parameter-free connectivity for point clouds / Marin, D., Ohrhallinger, S., & Wimmer, M. (2024). Parameter-free connectivity for point clouds. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP (pp. 92–102). SciTePress, Science and Technology Publications. https://doi.org/10.34726/6100
Download: Paper (2.09 MB)
Projects: Modeling the World at Scale (2020–2026) / Superhumans (2019–2022)
Parameter-Free and Improved Connectivity for Point Clouds / Marin, D., Ohrhallinger, S., & Wimmer, M. (2023). Parameter-Free and Improved Connectivity for Point Clouds. In G. Singh & M. Chu (Eds.), Eurographics 2023 - Posters (pp. 5–6). Eurographics. https://doi.org/10.2312/egp.20231023
Downloads: Paper (506 KB) / Poster (9.92 MB)
Project: Modeling the World at Scale (2020–2026)
SIGDT: 2D Curve Reconstruction / Marin, D., Ohrhallinger, S., & Wimmer, M. (2022). SIGDT: 2D Curve Reconstruction. In Pacific Graphics 2022 (pp. 25–36). The Eurographics Association and John Wiley & Sons Ltd. https://doi.org/10.1111/cgf.14654
Download: PDF (2.52 MB)
Projects: Modeling the World at Scale (2020–2026) / Superhumans (2019–2022)
SIG-based Curve Reconstruction / Marin, D., Ohrhallinger, S., & Wimmer, M. (2022). SIG-based Curve Reconstruction. In Eurographics 2022 - Posters. Eurographics 2022 - 43rd Annual Conference of the European Association for Computer Graphics, Reims, France. The Eurographics Association. https://doi.org/10.2312/egp.20221013
Downloads: PDF (185 KB) / Poster (1.55 MB)

Supervisions

Pole-arina : deep learning–based coaching system for pole dancing technique / Scheucher, K. (2025). Pole-arina : deep learning–based coaching system for pole dancing technique [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.132462
Download: PDF (4.08 MB)