2024W

• Bachelor Thesis for Informatics and Business Informatics / 185.A26 / PR
• Fundamentals of Digital Systems / 192.134 / VU
• Introduction to Programming 1 / 185.A91 / VU
• Project in Computer Science 1 / 192.021 / PR
• Project in Computer Science 2 / 192.022 / PR
• Propädeutikum für Informatik / 180.771 / VU

2025S

• Bachelor Thesis for Informatics and Business Informatics / 185.A26 / PR
• Foundations of Computer and Communication Systems / 192.121 / VU
• Introduction to Programming 1 / 185.A91 / VU
• Project in Computer Science 1 / 192.021 / PR
• Project in Computer Science 2 / 192.022 / PR

• A Dynamic Calibration Framework for the Event-Frame Stereo Camera System / Hu, R., Kogler, J., Gelautz, M., Lin, M., & Xia, Y. (2024). A Dynamic Calibration Framework for the Event-Frame Stereo Camera System. IEEE Robotics and Automation Letters, 9(12), 11465–11472. https://doi.org/10.1109/LRA.2024.3491426
  Download: AM (1.02 MB)
• Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation / Piatkowska, E., Kogler, J., Belbachir, N., & Gelautz, M. (2017). Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation. In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, Honolulu, Hawaii, Non-EU. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/cvprw.2017.51
  Project: Precise3D (2016–2023)
• Design and evaluation of stereo matching techniques for silicon retina cameras / Kogler, J. (2016). Design and evaluation of stereo matching techniques for silicon retina cameras [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.36281
  Download: PDF (4.74 MB)
• Enhancement of sparse Silicon Retina-based stereo matching using Belief Propagation and Two-Stage Post-Filtering / Kogler, J., Eibensteiner, F., Humenberger, M., Sulzbachner, C., Gelautz, M., & Scharinger, J. (2014). Enhancement of sparse Silicon Retina-based stereo matching using Belief Propagation and Two-Stage Post-Filtering. Journal of Electronic Imaging, 23(4)(043011), 043011-1-043011–043015. http://hdl.handle.net/20.500.12708/156723
• Ground Truth Evaluation for Event-Based Silicon Retina Stereo Data / Kogler, J., Eibensteiner, F., Humenberger, M., Gelautz, M., & Scharinger, J. (2013). Ground Truth Evaluation for Event-Based Silicon Retina Stereo Data. In 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (p. 8). http://hdl.handle.net/20.500.12708/54653