2 citations · 3 across the 5 of their papers we have counts for
6 papers
Global Hierarchical Attention for 3D Point Cloud Analysis
Dan Jia, Alexander Hermans, Bastian Leibe
We propose a new attention mechanism, called Global Hierarchical Attention (GHA), for 3D point cloud analysis. GHA approximates the regular global dot-product attention via a serie…
Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics
Diego Paez-Granados, Yujie He, David Gonon +4
Autonomous navigation in highly populated areas remains a challenging task for robots because of the difficulty in guaranteeing safe interactions with pedestrians in unstructured s…
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Dan Jia, Bastian Leibe
In this preliminary work we attempt to apply submanifold sparse convolution to the task of 3D person detection. In particular, we present Person-MinkUNet, a single-stage 3D person…
2D vs. 3D LiDAR-based Person Detection on Mobile Robots
Dan Jia, Alexander Hermans, Bastian Leibe
Person detection is a crucial task for mobile robots navigating in human-populated environments. LiDAR sensors are promising for this task, thanks to their accurate depth measureme…
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
Dan Jia, Mats Steinweg, Alexander Hermans +1
Deep learning is the essential building block of state-of-the-art person detectors in 2D range data. However, only a few annotated datasets are available for training and testing t…
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
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. To alleviate the problem caused by the sparsity of the LiDAR points, c…