Julian Strohmayer

Info

Email

jstrohmayer@cvl.tuwien.ac.at

Phone

+43 1 58801 - 193193

Room

HE 0444

Office hours

By appointment

Projects

Blindsight
MAIJA
EcoShop
PicsArt

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 TU Wien. His current research interests include multimodal computer vision systems and WiFi-based person-centric sensing. He is currently working on the Blindsight project.

Profiles

Google Scholar  |  ResearchGate  |  SemanticScholar  |  ArXiv  |  ORCID

Publications (peer-reviewed)

Strohmayer, J., Sterzinger, R., Stippel, C., and Kampel, M. (2024). “Through-Wall Imaging based on WiFi Channel State Information”, Accepted at The 27th IEEE International Conference on Image Processing (ICIP), October 2024, Abu Dhabi, UAE, arXiv preprint, doi: https://doi.org/10.48550/arXiv.2401.17417

Strohmayer, J., and Kampel, M. (2024). “Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition”, Accepted at The 27th IEEE International Conference on Image Processing (ICIP), October 2024, Abu Dhabi, UAE, arXiv preprint, doi: https://doi.org/10.48550/arXiv.2401.01388

Strohmayer, J., and Kampel, M. (2024). “Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition, Accepted at The 20th International Conference on Artificial Intelligence Applications and Innovations (AIAI), June 2024, Corfu, Greece, arXiv preprint, doi: https://doi.org/10.48550/arXiv.2401.00964

Strohmayer, J., and Kampel, M. (2024). “WiFi CSI-based Long-Range Person Localization Using Directional Antennas”, Accepted at The Second Tiny Papers Track at ICLR 2024, May 2024, Vienna, Austria. https://openreview.net/forum?id=AOJFcEh5Eb

Bernhart C., Strohmayer J., and Kampel M., “RetroFaceID: Face Recognition in Historical Image Archives”, Accepted at the Austrian Association for Pattern Recognition (OAGM) Joint Austrian Computer Vision and Robotics Workshop, October 2023, Vienna, Austria.

Strohmayer, J., Kampel, M. (2023). WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with the ESP32. In Computer Vision Systems. ICVS 2023. Lecture Notes in Computer Science, vol 14253. Springer, Cham. https://doi.org/10.1007/978-3-031-44137-0_4

Strohmayer, J., Kampel, M. (2023). Domain-Adaptive Data Synthesis for Large-Scale Supermarket Product Recognition. In Computer Analysis of Images and Patterns. CAIP 2023. Lecture Notes in Computer Science, vol 14184. Springer, Cham. https://doi.org/10.1007/978-3-031-44237-7_23.

Strohmayer J. and Kampel M., “Real-Time Supermarket Product Recognition on Mobile Devices Using Scalable Pipelines,” 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, October 2023, pp. 420-424, doi: https://doi.org/10.1109/ICIP49359.2023.10223137.

Strohmayer J. and Kampel M., “Blind Modalities for Human Activity Recognition.” In Assistive Technology: Shaping a Sustainable and Inclusive World, pp. 89-96. IOS Press, August 2023, doi: https://doi.org/10.3233/SHTI230601.

Strohmayer J. and Kampel M., “A Compact Tri-modal Camera Unit for RGBDT Vision”, In the Proceedings of the 5th International Conference on Machine Vision and Applications (ICMVA), February 2022, Singapore, Singapore, doi: https://doi.org/10.1145/3523111.3523116.

Strohmayer J. and Kampel M., “Data Synthesis for Large-scale Supermarket Product Recognition”, In the Proceedings of the Austrian Association for Pattern Recognition (OAGM) Joint Austrian Computer Vision and Robotics Workshop, November 2021, St. Pölten, Austria, doi: https://doi.org/10.3217/978-3-85125-869-1-11.

Strohmayer J., Knapp J. and Kampel M., “Efficient Models for Real-Time Person Segmentation on Mobile Phones”, In the Proceedings of the 29th European Signal Processing Conference (EUSIPCO), May 2021, Dublin, Ireland, doi: https://doi.org/10.23919/EUSIPCO54536.2021.9616237.

Pramerdorfer C., Strohmayer J. and Kampel M., “Sdt: A Synthetic Multi-Modal Dataset For Person Detection And Pose Classification”, In the Proceedings of the 2020 IEEE International Conference on Image Processing (ICIP), October 2020, Abu Dhabi, United Arab Emirates, doi: https://doi.org/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: https://doi.org/10.34726/hss.2020.66201.

Presentations 

Strohmayer J. and Kampel M., “Real-time Supermarket Product Recognition on Mobile Devices using Scalable Pipelines”, In the 26th Computer Vision Winter Workshop (CVWW), February 2023, Krems, Austria. (in-person oral presentation, out of proceedings)

Datasets 

DOI   Wallhack1.8k Dataset (coming soon…)
DOI   HAllway LOCalization (HALOC) Dataset
DOI   WiFi CSI Long-Range Through-Wall Activities Dataset
DOI   Synthetic Supermarket Product Recognition Datasets
DOI   Synthetic Depth & Thermal (SDT) Dataset
DOI   Compact Tri-modal Camera Unit (CTCAT) CAD models

Teaching