Publikationen

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1. Thomas Stauner; Frédérik Blank; David Michael Fürst; Johannes Günther; Korbinian Hagn; Philipp Heidenreich; Markus Huber; Bastian Knerr; Thomas Schulik; Karl-Ferdinand Leiß

   SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes

   In: Proceedings of the 6th ACM Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2022), ACM, 12/2022.

2. David Michael Fürst; Priyash Bhugra; René Schuster; Didier Stricker

   Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time

   In: 2022 26th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2022), August 21-25, Montreal Quebec, Canada, IEEE, 2022.

3. Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

   Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

   In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

4. David Michael Fürst; Shriya T. P. Gupta; René Schuster; Oliver Wasenmüller; Didier Stricker

   HPERL: 3D Human Pose Estimation from RGB and LiDAR

   In: International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), January 10-15, Milan, Italy, IEEE, 2021.

5. David Michael Fürst; Oliver Wasenmüller; Didier Stricker

   LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB

   In: IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2020), September 20-23, Virtual Conference, Greece, IEEE, 2020.

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