Dr.-Ing. Christian Herrmann

Lebenslauf

Christian Herrmann studierte von 2006 bis 2012 Informatik am Karlsruher Institut für Technologie (KIT). Seine Diplomarbeit mit dem Thema „Automatisierte Dichtebestimmung, Zählung und Lokalisierung von Personen in Luftbildern von Menschenmengen“ fertigte er am Fraunhofer IOSB an. Seit 2012 arbeitet Herr Herrmann am IES in enger Kooperation mit der Abteilung Videoauswertesysteme (VID)  (VID) des Fraunhofer IOSB . Er befasst sich mit Methoden der Personenidentifikation in Videodaten, insbesondere mit der Wiedererkennung von Gesichtern.

Veröffentlichungen


2018
CNN-based thermal infrared person detection by domain adaptation.
Beyerer, J.; Ruf, M.; Herrmann, C.
2018. Autonomous Systems : Sensors, Vehicles, Security and the Internet of Everything, Orlando, FL, April 15-19, 2018. Ed.: M.C. Dudzik, Article No. 1064308, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2304400
Distant pulse oximetry based on skin region extraction and multi-spectral measurement.
Herrmann, C.; Metzler, J.; Willersinn, D.; Beyerer, J.
2018. Medical Imaging 2018 : Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, February 10–15, 2018. Ed.: B. Fei, Article No. 105762O, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2293623
Open set logo detection and retrieval.
Tüzko, A.; Herrmann, C.; Manger, D.; Beyerer, J.
2018. 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018; Funchal, Madeira; Portugal; 27 January 2018 through 29 January 2018. Ed.: J. Braz, 284–292, SciTePress
Video-to-Video Face Recognition for Low-Quality Surveillance Data. Dissertation.
Herrmann, C.
2018. KIT Scientific Publishing. doi:10.5445/KSP/1000083168
2017
Residual vs. Inception vs. classical networks for low-resolution face recognition.
Herrmann, C.; Willersinn, D.; Beyerer, J.
2017. Image Analysis : Proceedings of the 20th Scandinavian Conference, SCIA 2017, Part II, Tromso, Norway, 12th - 14th June 2017, 377–388, Springer. doi:10.1007/978-3-319-59129-2_32
Robust 3D Patch-Based Face Hallucination.
Qu, C.; Herrmann, C.; Monari, E.; Schuchert, T.; Beyerer, J.
2017. WACV : Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, USA, 24-31 March 2017, 1105–1114, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WACV.2017.128
Does Physical Self-Concept Mediate the Relationship between Motor Abilities and Physical Activity in Adolescents and Young Adults?.
Jekauc, D.; Wagner, M. O.; Herrmann, C.; Hegazy, K.; Woll, A.
2017. (R. Zhou, Hrsg.)PLoS one, 12 (1), Art. Nr.: e0168539. doi:10.1371/journal.pone.0168539
2016
Low-resolution video face recognition with face normalization and feature adaptation.
Herrmann, C.; Qu, C.; Beyerer, J.
2016. 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015; Pullman BangsarKuala Lumpur; Malaysia; 19 October 2015 through 21 October 2015, 89–94, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSIPA.2015.7412169
Low-resolution Convolutional Neural Networks for video face recognition.
Herrmann, C.; Willersinn, D.; Beyerer, J.
2016. 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Colorado Springs, CO, USA, 23–26 August 2016, 221–227, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AVSS.2016.7738017
An Unsupervised Domain Adaptation Concept for Face Recognition Applications : Technical Report IES-2015-03.
Herrmann, C.
2016. Proceedings of the 2015 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 31–40, KIT Scientific Publishing
Affect and subsequent physical activity: An ambulatory assessment study examining the affect-activity association in a real-life context.
Niermann, C.; Herrmann, C.; Haaren, von B.; van Kann, D.; Woll, A.
2016. Frontiers in psychology, 7, Art. Nr.: 677. doi:10.3389/fpsyg.2016.00677
2015
Fast Face Recognition by Using an Inverted Index.
Herrmann, C.; Beyerer, J.
2015. Image Processing: Machine Vision Applications VIII; 10 February 2015 through 11 February 2015, San Francisco, California, United States. Ed.: E. Y. Lam, Art.Nr. 940507, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2078988
Face Retrieval on Large-Scale Video Data.
Herrmann, C.; Beyerer, J.
2015. 12th Conference on Computer and Robot Vision (CRV), 2015, 3 June 2015 through 5 June 2015, Halifax, Canada, 192–199, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CRV.2015.32
Fast Face Recognition by Using an Inverted Index. Technical Report IES-2014-02.
Herrmann, C.
2015. Proceedings of the 2014 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 13–23, KIT Scientific Publishing
2014
How to Describe Face Sequences for Fast Person Recognition. Technical Report IES-2013-02.
Herrmann, C.
2014. Proceedings of the 2013 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 13–24, KIT Scientific Publishing