no code implementations • 14 Dec 2023 • Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker
The state of the art in 3D object detection using sensor fusion heavily relies on calibration quality, which is difficult to maintain in large scale deployment outside a lab environment.
no code implementations • 28 Nov 2022 • Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker
Humans understand this concept at young ages and know that another person is still there, even though it is temporarily occluded.
1 code implementation • 16 Oct 2020 • Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
In-the-wild human pose estimation has a huge potential for various fields, ranging from animation and action recognition to intention recognition and prediction for autonomous driving.
no code implementations • 17 Jun 2020 • Michael Fürst, Oliver Wasenmüller, Didier Stricker
The evaluation of our LRPD approach was done on the pedestrians from the KITTI benchmark.
no code implementations • 19 Apr 2019 • Michael Weber, Michael Fürst, J. Marius Zöllner
With automated focal loss we introduce a new loss function which substitutes this hyperparameter by a parameter that is automatically adapted during the training progress and controls the amount of focusing on hard training examples.