Prof. Dr.-Ing. Marc Stamminger

Department of Computer Science
Chair of Computer Science 9 (Computer Graphics)

Raum 01.143-128
Cauerstraße 11
91058 Erlangen

Office hours

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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

Publications

Marcus, R., & Stamminger, M. (2026). Physically Based Neural LiDAR Resimulation. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp. 3727-3734). Gold Coast, AU: Institute of Electrical and Electronics Engineers Inc..
Marcus, R., Vogel, C., Jatzkowski, I., Knoop, N., & Stamminger, M. (2026). Synth it Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios. In Juha Röning, Joaquim Filipe (Eds.), Communications in Computer and Information Science (pp. 414-432). Porto, PRT: Springer Science and Business Media Deutschland GmbH.
Wirth, V., Bräunig, J., Hofmann, N., Vossiek, M., Weyrich, T., & Stamminger, M. (2026). MAROON: A Dataset for the Joint Characterization of Near-Field High-Resolution Radio-Frequency and Optical Depth Imaging Techniques. Acm Transactions on Graphics, 45(2). https://doi.org/10.1145/3796224
Zieger, D., Henningson, J.-O., Egger, B., & Stamminger, M. (2026). A Unified Pipeline for Explainable Gait Analysis. In Christian Wachinger, Gijs Luijten, Jan Egger, Shireen Elhabian, Karthik Gopinath (Eds.), Lecture Notes in Computer Science (pp. 29-43). Daejeon, KR: Springer Science and Business Media Deutschland GmbH.

Behrens, A., Hübner, H., Häberle, L., Stamminger, M., Zint, D., Heindl, F.,... Ohlmeyer, S. (2025). Correction to: Comparative assessment of breast volume using a smartphone device versus MRI (Breast Cancer, (2025), 32, 1, (166-176), 10.1007/s12282-024-01647-6). Breast Cancer. https://doi.org/10.1007/s12282-025-01685-8
Franke, L., Fink, L., & Stamminger, M. (2025). VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Points. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 8(1). https://doi.org/10.1145/3728302
Gilson, A., Killer, A., Meyer, L., Paglia, C., Meyer, T., Keil, F.,... Kittemann, D. (2025). CherryTwin: an exemplary concept for digital twins in horticulture. In Acta Horticulturae (pp. 211-216). International Society for Horticultural Science.
Grün, J., Meyer, L., Weiherer, M., Egger, B., Stamminger, M., & Franke, L. (2025). Towards Integrating Multi-Spectral Imaging with Gaussian Splatting. In The Eurographics Association (Eds.), VMV2025. Erlangen, DE.
Hahlbohm, F., Franke, L., Kappel, M., Castillo, S., Eisemann, M., Stamminger, M., & Magnor, M. (2025). INPC: Implicit Neural Point Clouds for Radiance Field Rendering. In Proceedings of the International Conference on 3D Vision 2025. Singapore, SG.
Hahlbohm, F., Friederichs, F., Weyrich, T., Franke, L., Kappel, M., Castillo, S.,... Magnor, M. (2025). Efficient Perspective‐Correct 3D Gaussian Splatting Using Hybrid Transparency. Computer Graphics Forum. https://doi.org/10.1111/cgf.70014
Hofmann, N., Wirth, V., Bräunig, J., Ullmann, I., Vossiek, M., Weyrich, T., & Stamminger, M. (2025). Inverse Rendering of Near-Field mmWave MIMO Radar for Material Reconstruction. IEEE Journal of Microwaves, 1-17. https://doi.org/10.1109/JMW.2025.3535077
Lewis, N., Rückert, D., Stamminger, M., & Franke, L. (2025). NePO: Neural Point Octrees for Large-Scale Novel View Synthesis. Computer Graphics Forum. https://doi.org/10.1111/cgf.70287
Meyer, L., Ardelean, A.-T., Weyrich, T., & Stamminger, M. (2025). FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields. In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Hangzhou, China, CN.

Behrens, A., Hübner, H., Häberle, L., Stamminger, M., Zint, D., Heindl, F.,... Ohlmeyer, S. (2024). Comparative assessment of breast volume using a smartphone device versus MRI. Breast Cancer. https://doi.org/10.1007/s12282-024-01647-6
Bräunig, J., Heinrich, S., Coppers, B., Kammel, C., Wirth, V., Stamminger, M.,... Vossiek, M. (2024). A Radar-Based Concept for Simultaneous High-Resolution Imaging and Pixel-Wise Velocity Analysis for Tracking Human Motion. IEEE Journal of Microwaves, 4, 639-652. https://doi.org/10.1109/JMW.2024.3453570
Bräunig, J., Wirth, V., Stamminger, M., Ullmann, I., & Vossiek, M. (2024). An Efficient yet High-Performance Method for Precise Radar-Based Imaging of Human Hand Poses. In 2024 21st European Radar Conference, EuRAD 2024 (pp. 332-335). Paris, FR: Institute of Electrical and Electronics Engineers Inc..
Franke, L., Rückert, D., Fink, L., & Stamminger, M. (2024). TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering. Computer Graphics Forum. https://doi.org/10.1111/cgf.15012
Gilson, A., Weule, M., Hansen, J., Meyer, L., Keil, F., Scholz, O.,... Schmid, U. (2024). CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology. In Christa Hoffmann, Anthony Stein, Eva Gallmann, Jorg Dorr, Christian Krupitzer, Helga Floto (Eds.), 44. GIL-Jahrestagung 2024 - Fokus: Biodiversität fördern durch digitale Landwirtschaft (pp. 71-82). Stuttgart, DE: Bonn: Gesellschaft fur Informatik (GI).
Henningson, J.-O., Veltrup, R., Semmler, M., Döllinger, M., & Stamminger, M. (2024). Fireflies: Photorealistic Simulation and Optimization of Structured Light Endoscopy. In Virginia Fernandez, Jelmer M. Wolterink, David Wiesner, Samuel Remedios, Lianrui Zuo, Adrià Casamitjana (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 102-112). Marrakesh, MAR: Springer Science and Business Media Deutschland GmbH.
Meyer, L., Erich, F., Yoshiyasu, Y., Stamminger, M., Ando, N., & Domae, Y. (2024). PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DOF Object Pose Dataset Generation. In IEEE/RSJ (Eds.), Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). Abu Dhabi, AE.
Meyer, L., Gilson, A., Schmid, U., & Stamminger, M. (2024). FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework. In IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 1-8). Abu Dhabi, AE: Institute of Electrical and Electronics Engineers Inc..
Meyer, L., Gilson, A., Schmid, U., & Stamminger, M. (2024). FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Abu Dhabi ,UAE, AE.
Nguyen, T.D., Zieger, D., Gambietz, M., Koelewijn, A., Stamminger, M., & Kaup, A. (2024). Multiresolution point cloud compression for real-time visualization and streaming of large 3D datasets. In Proceedings of the Asilomar Conferense on Signals, Systems, and Computers.
Nguyen, T.D., Zieger, D., Stamminger, M., & Kaup, A. (2024). END-TO-END LEARNED LOSSY DYNAMIC POINT CLOUD ATTRIBUTE COMPRESSION. In Proceedings - International Conference on Image Processing, ICIP (pp. 3355-3360). Abu Dhabi, ARE: IEEE Computer Society.
Penk, D., Horn, M., Strohmeyer, C., Egger, B., Stamminger, M., & Bauer, F. (2024). AbSynth: Using Abstract Image Synthesis for Synthetic Training. In Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto Sousa (Eds.), Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 718-729). Rome, ITA: Science and Technology Publications, Lda.
Stadter, L., Hofmann, N., & Stamminger, M. (2024). Neural Volumetric Level of Detail for Path Tracing. In VMV2024. München, DE: The Eurographics Association.
Wirth, V., Bräunig, J., Khouri, D., Gutsche, F., Vossiek, M., Weyrich, T., & Stamminger, M. (2024). Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Depth Sensors. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 8322-8329). Abu Dhabi, AE.
Zieger, D., Güthlein, F., Henningson, J.-O., Jakob, V., Gaßner, H., Shanbhag, J.,... Stamminger, M. (2024). 3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars. In ShapeMI 2024 (pp. 70-83). Marrakesh, MA.

Bräunig, J., Schüßler, C., Wirth, V., Stamminger, M., Ullmann, I., & Vossiek, M. (2023). A Realistic Radar Ray Tracing Simulator for Hand Pose Imaging. In Proceedings of the EuRAD 2023. Berlin.
Bräunig, J., Wirth, V., Kammel, C., Schüßler, C., Ullmann, I., Stamminger, M., & Vossiek, M. (2023). An Ultra-Efficient Approach for High-Resolution MIMO Radar Imaging of Human Hand Poses. IEEE Transactions on Radar Systems, 1-13. https://doi.org/10.1109/TRS.2023.3309574
Fink, L., Keitel, D., Stamminger, M., & Keinert, J. (2023). UniTorch - Integrating Neural Rendering into Unity. In George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli (Eds.), Advances in Visual Computing. 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part I (pp. 315-328). Lake Tahoe, NV, US: Cham: Springer.
Fink, L., Rückert, D., Franke, L., Keinert, J., & Stamminger, M. (2023). LiveNVS: Neural View Synthesis on Live RGB-D Streams. In ACM (Eds.), Siggraph Asia 2023 Proceedings. Sydney, AU.
Fink, L., Strobel, S., Franke, L., & Stamminger, M. (2023). Efficient Rendering for Light Field Displays using Tailored Projective Mappings. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 6(1). https://doi.org/10.1145/3585498
Franke, L., Rückert, D., Fink, L., Innmann, M., & Stamminger, M. (2023). VET: Visual Error Tomography for Point Cloud Completion and High-Quality Neural Rendering. In ACM SIGGRAPH Asia 2023 Conference Proceedings. Sydney, AU.
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., Scholz, O., & Stamminger, M. (2023). CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2023 (pp. 6243 - 6252). Vancouver, Kanada.
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..
Penk, D., Horn, M., Strohmeyer, C., Bauer, F., & Stamminger, M. (2023). DeNos22: A Pipeline to Learn Object Tracking Using Simulated Depth. In Volume 5: VISAPP,. Lisbon, PT.
Schüßler, C., Hoffmann, M., Wirth, V., Eskofier, B., Weyrich, T., Stamminger, M., & Vossiek, M. (2023). Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data from a Radar Ray Tracing Simulator. In Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (Grant Number: 44241933) (Eds.), IEEE Xplore. 2023 IEEE Radar Conference (RadarConf23). San Antonio, TX, US, US: IEEE Xplore.
Wirth, V., Liphardt, A.-M., Coppers, B., Bräunig, J., Heinrich, S., Leyendecker, S.,... Stamminger, M. (2023). Markerless RGB-D Hand Pose Estimation for Activity Monitoring of Musculoskeletal Diseases. Poster presentation at IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23), Pittsburgh, USA.
Wirth, V., Liphardt, A.-M., Coppers, B., Bräunig, J., Heinrich, S., Leyendecker, S.,... Stamminger, M. (2023). ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops (pp. 2625-2633). Paris, FR.

Behrens, A., Wunderle, M., Häberle, L., Stamminger, M., Zint, D., Emons, J.,... Fasching, P. (2022). Breast volume assessment with a smart phone device compared to MRI. In GEBURTSHILFE UND FRAUENHEILKUNDE (pp. E49-E50). STUTTGART: GEORG THIEME VERLAG KG.
Henningson, J.-O., Stamminger, M., Döllinger, M., & Semmler, M. (2022). Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy. In MICCAI (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI (pp. 3-12). Singapore, SG: Singapore: Springer Link.
Kurth, P., Leuschner, M., Stamminger, M., & Bauer, F. (2022). Content-Aware Brightness Solving and Error Mitigation in Large-Scale Multi-Projection Mapping. IEEE Transactions on Visualization and Computer Graphics, ISMAR 2022, 3607-3617. https://doi.org/10.1109/TVCG.2022.3203085
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.
Richer, R., Koch, V., Küderle, A., Müller, V., Wirth, V., Stamminger, M.,... Eskofier, B. (2022, July). Detection of Acute Psychosocial Stress from Body Movements using Machine Learning. Poster presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
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.
Rückert, D., Franke, L., & Stamminger, M. (2022). ADOP: Approximate Differentiable One-Pixel Point Rendering. Acm Transactions on Graphics, 41(4). https://doi.org/10.1145/3528223.3530122
Stamminger, M., Rückert, D., Dreyer, B., & Gatternig, B. (2022). Die F.A.N. virtuell besuchen und testen: Graphische Datenverarbeitung, Numerik und das Römerboot. In Boris Dreyer (Hrg.), Die Fridericiana Alexandrina Navis (F.A.N.). Ein Römerboot auf dem Prüfstand – Bau und Test für Wissenschaft und Öffentlichkeit. (S. 499 - 514). Darmstadt: wbg Academic.

Klein, V., Edel, M., Stamminger, M., & Bauer, F. (2021). Robust marker-based projector-camera synchronization. Graphics and Visual Computing, 200034. https://doi.org/10.1016/j.gvc.2021.200034
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.
Martinek, M., Thiemann, P., & Stamminger, M. (2021). Spatio-temporal filtered motion DAGs for path-tracing. Computers & Graphics, 99, 224-233. https://doi.org/10.1016/j.cag.2021.07.008
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.
Rückert, D., & Stamminger, M. (2021). Snake-SLAM: Efficient Global Visual Inertial SLAM using Decoupled Nonlinear Optimization. In Proceedings of the 2021 International Conference on Unmanned Aircraft Systems (ICUAS). Athen, GR.
Rückert, D., & Stamminger, M. (2021). SuBloNet: Sparse Super Block Networks for Large Scale Volumetric Fusion. In Andres, Bjoern and Campen, Marcel and Sedlmair, Michael (Eds.), Proceedings of the Vision, Modeling and Visualization 2021.
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,.
Franke, L., Fink, L., Martschinke, J., Selgrad, K., & Stamminger, M. (2020). Time‐Warped Foveated Rendering for Virtual Reality Headsets. Computer Graphics Forum, 40(1), 110-123. https://doi.org/10.1111/cgf.14176
Hofmann, N., Martschinke, J., Engel, K., & Stamminger, M. (2020). Neural Denoising for Path Tracing of Medical Volumetric Data. In ACM (Eds.), Proceedings of the ACM on Computer Graphics and Interactive Techniques. Online.
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.
Kohlhase, M., Bösl, B., Marcus, R., Müller, D., Rochau, D., Roux, N.,... Stamminger, M. (2020). FrameIT: Detangling Knowledge Management from Game Design in Serious Games. In Springer (Eds.), Lecture Notes in Computer Science, vol 12236 (pp. 173 - 189). Bertinoro, IT: Springer.
Kurth, P., Klein, V., Stamminger, M., & Bauer, F. (2020). Real-Time Adaptive Color Correction in Dynamic Projection Mapping. In IEEE (Eds.), Proceedings of the IEEE International Symposium for Mixed and Augmented Reality 2020. Recife, Brasilien, BR.
Lange, V., Kurth, P., Keinert, B., Boß, M., Stamminger, M., & Bauer, F. (2020). Proxy Painting: Digital Colorization of Real-world Objects. Journal of Computing and Cultural Heritage, 13(13). https://doi.org/10.1145/3377145
Martinek, M., Thiemann, P., & Stamminger, M. (2020). Path-Traced Motion Blur using Motion Trees. In Proceedings of the Smart Tools and Apps for Graphics.
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.
Thies, L.T.-N., Stamminger, M., & Bauer, F. (2020). Learning Kinematic Machine Models from Videos. In Proceedings IEEE AIVR. virtual/online event: IEEE.
Thies, L.T.-N., Stamminger, M., & Bauer, F. (2020). Learning Kinematic Machine Models from Videos for VR/AR training. In 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). Utrecht, Netherlands: IEEE.

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Prof. Dr.-Ing. Marc Stamminger

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