2024W

• Bachelor Thesis / 183.582 / PR
• Doctoral Seminar / 183.619 / SE
• Fundamentals of Computer Vision / 193.125 / VU
• Methods for Data Generation and Analytics in Medicine and Life Sciences / 193.026 / VU
• Project in Computer Science 1 / 193.117 / PR
• Project in Computer Science 2 / 193.118 / PR
• Project in Medical Informatics / 193.025 / PR
• Project in Visual Computing 1 / 193.023 / PR
• Project in Visual Computing 2 / 193.024 / PR
• Project Media and Human-Centered Computing 1 / 193.021 / PR
• Project Media and Human-Centered Computing 2 / 193.022 / PR
• Scientific Research and Writing / 193.052 / SE

2025S

• Project in Medical Informatics / 193.025 / PR
• Project in Visual Computing 1 / 193.023 / PR
• Project in Visual Computing 2 / 193.024 / PR
• Project Media and Human-Centered Computing 1 / 193.021 / PR
• Project Media and Human-Centered Computing 2 / 193.022 / PR

• 2D-to-3D lifting of foundation models for few-shot 3D object detection
  2024 – 2025 / cirqular pointcloud analytics GmbH

• Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs / Kovacs, A. S., Hermosilla Casajus, P., & Raidou, R. G. (2024). Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs. Computer Graphics Forum, 43(2), Article e15016. https://doi.org/10.1111/cgf.15016
• PPSurf: combining patches and point convolutions for detailed surface reconstruction / Erler, P., Fuentes‐Perez, L., Hermosilla, P., Guerrero, P., Pajarola, R., & Wimmer, M. (2024). PPSurf: combining patches and point convolutions for detailed surface reconstruction. Computer Graphics Forum, Article e15000. https://doi.org/10.1111/cgf.15000
  Download: PDF (2.53 MB)
  Projects: Echtzeit-Formenakquisition mit sensorspezifischer Präzision (2015–2020) / EVOCATION (2018–2022) / Modeling the World at Scale (2020–2026) / Superhumans (2019–2022)

• Alpine terrain relighting : deep-learning based single image shadow-removal with digital elevation models / Staats, M. (2024). Alpine terrain relighting : deep-learning based single image shadow-removal with digital elevation models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.112641
  Download: PDF (4.85 MB)