Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder. - Michael Weber 009; Michael Fürst; J. Marius Zöllner (IV, 2019)

HPERL: 3D Human Pose Estimation from RGB and LiDAR. - Michael Fürst; Shriya T. P. Gupta; René Schuster; Oliver Wasenmüller; Didier Stricker (ICPR, 2020)

LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB. - Michael Fürst; Oliver Wasenmüller; Didier Stricker (ITSC, 2020)

Automated Focal Loss for Image based Object Detection. - Michael Weber 009; Michael Fürst; J. Marius Zöllner (IV, 2020)

SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. - Thomas Stauner; Frédérik Blank; Michael Fürst; Johannes Günther 001; Korbinian Hagn; Philipp Heidenreich; Markus Huber; Bastian Knerr; Thomas Schulik; Karl-Ferdinand Leiß (CSCS, 2022)

Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time. - Michael Fürst; Priyash Bhugra; René Schuster; Didier Stricker (ICPR, 2022)

Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion. - Michael Fürst; Rahul Jakkamsetty; René Schuster; Didier Stricker (ICPRAM, 2024)