Marc Stamminger is a professor for Visual Computing at FAU since 2002. Visual Computing investigates algorithms to synthesize and analyze images with computers. This includes the synthesis of photo-realistic images from 3D models, the capturing of 3D models with cameras, LiDAR, or Radar, and the simulation of light propagation in 3D environments. Within FAU Solar, Marc’s lab wants to contribute its expertise in the generation of large-scale 3D models of real environments and a following lighting simulation for varying time and weather conditions.
Marc published more than 250 papers in high-ranked journals and conferences of visual computing. He recently won a Siggraph Test-Of-Time Award and twice the Siggraph Emerging Technologies “Best-Of-Show” award. Marc is member of the executive committee of Eurographics and serves as Eurographics’ professional board chair. Since 2022, he is vice dean of the technical faculty of FAU
Harrer, M., Franke, L., Fink, L., Stamminger, M., & Weyrich, T. (2023). Inovis: Instant Novel-View Synthesis. In Association for Computing Machinery (Eds.), ACM SIGGRAPH Asia 2023 Conference Proceedings. Sydney, AU.
Henningson, J.-O., Semmler, M., Döllinger, M., & Stamminger, M. (2023). Joint Segmentation and Sub-pixel Localization in Structured Light Laryngoscopy. In Hayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 34-43). Vancouver, BC, CA: Springer Science and Business Media Deutschland GmbH.
Marcus, R., Gabel, F., Knoop, N., & Stamminger, M. (2023). GAN-Based LiDAR Intensity Simulation. In Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone (Eds.), Communications in Computer and Information Science (pp. 419-433). Rome, ITA: Springer Science and Business Media Deutschland GmbH.
Meyer, L., Gilson, A., Uhrmann, F., Weule, M., Keil, F., Haunschild, B.,... Scholz, O. (2023). For5G: Systematic approach for creating digital twins of cherry orchards. In 43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme (pp. 411 - 416). Osnabrück, Germany: Bonn: Gesellschaft für Informatik e.V..
Marcus, R., Knoop, N., Egger, B., & Stamminger, M. (2022). A Lightweight Machine Learning Pipeline for LiDAR-simulation. In DELTA: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON DEEP LEARNING THEORY AND APPLICATIONS (pp. 176-183). Lisbon, PT: SETUBAL: SCITEPRESS.
Rohleder, N., Richer, R., Koch, V., Küderle, A., Müller, V., Wirth, V.,... Eskofier, B. (2022, July). Effect of Acute Psychosocial Stress on Body Movements. Paper presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
Klein, V., Leuschner, M., Langen, T., Kurth, P., Stamminger, M., & Bauer, F. (2021). Scan&Paint: Image-based Projection Painting. In IEEE (Eds.), 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 517-525). Bari, IT.
Martschinke, J., Klein, V., Kurth, P., Engel, K., Ludolph, I., Hauck, T.,... Stamminger, M. (2021). Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction. In Oeltze-Jafra, Steffen and Smit, Noeska N. and Sommer, Björn and Nieselt, Kay and Schultz, Thomas (Eds.), Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine. Eurographics.
Schleicher, R., Nitschke, M., Martschinke, J., Stamminger, M., Eskofier, B., Klucken, J., & Koelewijn, A. (2021). BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP (pp. 25-36). Online.
Eixelberger, T., Parchent, J., Janka, R.M., Stamminger, M., Döllinger, M., & Wittenberg, T. (2020). Haptic Rendering of Soft-Tissue for Training Surgical Procedures at the Larynx. In In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (eds) (Eds.), Bildverarbeitung für die Medizin 2020, Informatik aktuell (pp. 342-347). Berlin, DE: Wiesbaden: Springer Vieweg,.
Innmann, M., Kim, K., Gu, J., Nießner, M., Loop, C., Stamminger, M., & Kautz, J. (2020). NRMVS: Non-Rigid Multi-View Stereo. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 2754 - 2763). Aspen, Colorado, USA, US: IEEE.
Innmann, M., Süßmuth, J., & Stamminger, M. (2020). BRDF-Reconstruction in Photogrammetry Studio Setups. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV) 2020 (pp. 3357 - 3365). Aspen, Colorado, USA.
Matern, F., Riess, C., & Stamminger, M. (2020). Depth Map Fingerprinting and Splicing Detection. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2782-2786). Barcelona, ES: IEEE.
Penk, D., Müller, J., Felfer, P., Grosso, R., & Stamminger, M. (2020). Visualization Aided Interface Reconstruction. In Proceedings of the VMV 2020, 25th International Symposium on Vision, Modeling, and Visualization. Tübingen, DE.
Penk, D., Sturm, R., Seifert, L., Stamminger, M., & Greiner, G. (2020). Reflective surface reconstruction from inverse deflectometric measurements. In Giovanni Maria Farinella, Petia Radeva, Jose Braz (Eds.), VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 76-84). Valletta, MT: SciTePress.
Thies, J., Zollhöfer, M., Theobalt, C., Stamminger, M., & Nießner, M. (2020). Image-guided Neural Object Rendering. In Proceedings ICLR 2020. virtual.