no code implementations • 7 Aug 2022 • Dan Jia, Alexander Hermans, Bastian Leibe
For the 3D object detection task, GHA improves the CenterPoint baseline by +0. 5% mAP on the nuScenes dataset, and the 3DETR baseline by +2. 1% mAP25 and +1. 5% mAP50 on ScanNet.
1 code implementation • 3 Aug 2022 • Diego Paez-Granados, Yujie He, David Gonon, Dan Jia, Bastian Leibe, Kenji Suzuki, Aude Billard
Autonomous navigation in highly populated areas remains a challenging task for robots because of the difficulty in guaranteeing safe interactions with pedestrians in unstructured situations.
1 code implementation • 3 Jul 2021 • Dan Jia, Bastian Leibe
In this preliminary work we attempt to apply submanifold sparse convolution to the task of 3D person detection.
no code implementations • 21 Jun 2021 • Dan Jia, Alexander Hermans, Bastian Leibe
Person detection is a crucial task for mobile robots navigating in human-populated environments.
1 code implementation • 16 Dec 2020 • Dan Jia, Mats Steinweg, Alexander Hermans, Bastian Leibe
Through experiments on the JackRabbot dataset with two detector models, DROW3 and DR-SPAAM, we show that self-supervised detectors, trained or fine-tuned with pseudo-labels, outperform detectors trained only on a different dataset.
2 code implementations • 29 Apr 2020 • Dan Jia, Alexander Hermans, Bastian Leibe
Detecting persons using a 2D LiDAR is a challenging task due to the low information content of 2D range data.