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.

Publications

Strohmayer J. and Kampel M., “A Compact Tri-modal Camera Unit for RGBDT Vision”, accepted in the International Conference on Machine Vision and Applications (ICMVA), Singapore, Singapore, February 2022.

Strohmayer J. and Kampel M., “Data Synthesis for Large-scale Supermarket Product Recognition”, accepted in the Austrian Association for Pattern Recognition (OAGM) Joint Austrian Computer Vision and Robotics Workshop, St. Pölten, Austria, November 2021.

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.