Julian Strohmayer is a research assistant and PhD student at the Computer Vision Lab (CVL), Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. He received his BSc degree in Media Informatics and Visual Computing in 2018 and his MSc (Dipl.-Ing.) degree in Visual Computing in 2020, both from the TU Wien. He is currently working in the EcoShop project.
Strohmayer J. and Kampel M., “A Compact Tri-modal Camera Unit for RGBDT Vision”, In 2022 the 5th International Conference on Machine Vision and Applications (ICMVA) (ICMVA 2022), February 18–20, 2022, Singapore, Singapore, doi: 10.1145/3523111.3523116.
Strohmayer J. and Kampel M., “Data Synthesis for Large-scale Supermarket Product Recognition”, Austrian Association for Pattern Recognition (OAGM) Joint Austrian Computer Vision and Robotics Workshop, St. Pölten, Austria, November 2021, pp. 64-66, doi: 10.3217/978-3-85125-869-1.
Strohmayer J., Knapp J. and Kampel M., “Efficient Models for Real-Time Person Segmentation on Mobile Phones,” 2021 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 651-655, doi: 10.23919/EUSIPCO54536.2021.9616237.
Pramerdorfer C., Strohmayer J. and Kampel M., “Sdt: A Synthetic Multi-Modal Dataset For Person Detection And Pose Classification,” 2020 IEEE International Conference on Image Processing (ICIP), 2020, pp. 1611-1615, doi: 10.1109/ICIP40778.2020.9191284.
Strohmayer J., “Multi-modal Fusion of Depth and Thermal Images for Human Behavior Modeling”, Diploma Thesis, Technische Universität Wien, March 2020, Advisor Martin Kampel, doi: 10.34726/hss.2020.66201.