Milena Bagdasarian is a research associate at the Computer Vision & Graphics Group at Fraunhofer Heinrich Hertz Institute. She graduated in Computer Science at the Technische Universität Berlin with a Master of Science in 2019. From 2017 to 2020 she worked as a research assistant at the Machine Learning Group at Fraunhofer Heinrich Hertz Insitute.
She is now part of the MoDL project, where she works on the integration of a priori knowledge into deep neural networks in the context of computer vision. Her research interests include machine learning techniques, computer vision and human visual perception.
|since 06/2020||Research Associate, Computer Vision & Graphics Group, Fraunhofer HHI|
|04/2017 - 05/2020||Student Research Assistant, Machine Learning Group, Fraunhofer HHI|
|10/2016 - 11/2019||M. Sc. in Computer Science at Technische Universität Berlin, Germany|
|08/2018 - 12/2018||Semester abroad at Norwegian University of Science and Technology, Trondheim, Norway|
|11/2016||B. Sc. in Computer Engineering at Technische Universität Berlin, Germany|
- Bagdasarian, M. T., Hilsmann, A., Eisert, P., Curio, G., Müller, K.-R., Wiegand, T., & Bosse, S.
EEG-Based Assessment of Perceived Realness in Stylized Face Images. In 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX) (pp. 1-4). IEEE.
- Bosse, S., Bagdasarian, M. T., Samek, W., Curio, G., & Wiegand, T.
On the stimulation frequency in ssvep-based image quality assessment. In 2018 Tenth international conference on quality of multimedia experience (QoMEX) (pp. 1-6). IEEE.
- Miklody, D., Bagdasarian, M. T., Blankertz, B.
A low-dimensional representation for individual head geometries. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3696-3699). IEEE.
The Young Talent Award for an outstanding master thesis is awarded by the "Gesellschaft von Freunden des Heinrich-Hertz-Instituts e.V.".