2 citations · 2 across the 3 of their papers we have counts for
3 papers
FutrTrack: A Camera-LiDAR Fusion Transformer for 3D Multiple Object Tracking
Martha Teiko Teye, Ori Maoz, Matthias Rottmann
We propose FutrTrack, a modular camera-LiDAR multi-object tracking framework that builds on existing 3D detectors by introducing a transformer-based smoother and a fusion-driven tr…
LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking
Martha Teiko Teye, Ori Maoz, Matthias Rottmann
Multi-object tracking from LiDAR point clouds presents unique challenges due to the sparse and irregular nature of the data, compounded by the need for temporal coherence across fr…
On the Robustness of Active Learning
Lukas Hahn, Lutz Roese-Koerner, Peet Cremer +3
Active Learning is concerned with the question of how to identify the most useful samples for a Machine Learning algorithm to be trained with. When applied correctly, it can be a v…