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 ( reposiTUm)

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 ( reposiTUm)

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, United States of America (the). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/cvprw.2017.51 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)