2 papers
cs.CV2025
DenseBEV: Transforming BEV Grid Cells into 3D Objects
Marius Dähling, Sebastian Krebs, J. Marius Zöllner
In current research, Bird's-Eye-View (BEV)-based transformers are increasingly utilized for multi-camera 3D object detection. Traditional models often employ random queries as anch…
cs.CV2025
CrowdQuery: Density-Guided Query Module for Enhanced 2D and 3D Detection in Crowded Scenes
Marius Dähling, Sebastian Krebs, J. Marius Zöllner
This paper introduces a novel method for end-to-end crowd detection that leverages object density information to enhance existing transformer-based detectors. We present CrowdQuery…