Journal Articles

Fischer, R., Hödlmoser, M., & Gelautz, M. (2023). Evaluation of Camera Pose Estimation Using Human Head Pose Estimation. SN Computer Science, 4(3), Article 301. https://doi.org/10.1007/s42979-023-01709-0 ( reposiTUm)

Conference Proceedings Contributions

Panadero Palenzuela, R., Schörkhuber, D., & Gelautz, M. (2025). Importance-Guided Interpretability and Pruning for Video Transformers in Driver Action Recognition. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 5295–5304). https://doi.org/10.1109/WACV61041.2025.00517 ( reposiTUm)
Sagmeister, D., Schörkhuber, D., Nezveda, M., Stiedl, F., Schimkowitsch, M., & Gelautz, M. (2023). Transfer learning for driver pose estimation from synthetic data. In 2023 IEEE Intelligent Vehicles Symposium (IV) Proceedings. 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, United States of America (the). IEEE. https://doi.org/10.34726/5182 ( reposiTUm)
Fischer, R., Hödlmoser, M., & Gelautz, M. (2022). Camera Pose Estimation using Human Head Pose Estimation. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Unknown. SCITEPRESS. https://doi.org/10.5220/0010879400003124 ( reposiTUm)

Presentations

Gelautz, M., Schörkhuber, D., & Stoeva, D. (2023). Computer Vision for Autonomous Driving and Robotics [Presentation]. 30 Years ICG, Graz, Austria. http://hdl.handle.net/20.500.12708/188254 ( reposiTUm)