Klara Reichard | Technical University of Munich | Germany
Mrs. Klara Reichard is a PhD candidate at the Technical University of Munich (TUM) and a member of the BMW Doctoral Program, specializing in computer vision, autonomous driving, and vision-language integration. She holds advanced degrees in computation and information sciences and works at the intersection of academia and industry to bridge theoretical research with real-world applications. Her professional experience includes collaborations with BMW Group and the University of Padova, where she has contributed to projects on automatic parking space detection, vocabulary-free semantic segmentation, and language-guided anomaly detection for open-world perception. Klara’s research focuses on developing robust perception systems that enhance the safety and intelligence of next-generation autonomous vehicles, with significant contributions such as novel methods for open-vocabulary and vocabulary-free semantic segmentation and integration into autonomous driving systems. She has authored multiple publications, including contributions to the Journal of Experimental Algorithmics and arXiv preprints, with her work accumulating over 24 citations. Klara holds one patent in progress for open-world segmentation and actively contributes to interdisciplinary research communities. She has been recognized for her innovative approach to bridging cutting-edge computer vision research with deployable industry solutions, demonstrating leadership in advancing intelligent, safe, and scalable autonomous vehicle technologies. Quotes: 25, h-index: 2, i10-index: 2
Profile: Google Scholar
Featured Publications
1. Radermacher M., Reichard K.*, Rutter I., Wagner D., A geometric heuristic for rectilinear crossing minimization. Proc. 20th Workshop on Algorithm Engineering and Experiments, 2018, 12.
2. Radermacher M., Reichard K.*, Rutter I., Wagner D., Geometric heuristics for rectilinear crossing minimization. J. Exp. Algorithmics, 2019, 24, 1–21.
3. Reichard K.*, Rizzoli G., Gasperini S., Hoyer L., Zanuttigh P., Navab N., From open-vocabulary to vocabulary-free semantic segmentation. arXiv preprint arXiv:2502.11891, 2025, 1.
4. Postels J., Strümpler Y., Reichard K.*, Van Gool L., Tombari F., 3D compression using neural fields. arXiv preprint arXiv:2311.13009, 2023, 1.
5. Reichard K.*, Rectilinear Crossing Minimization. Informatics Institute, 2016.
