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Siam R-CNN: Visual Tracking by Re-Detection
Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr +1
We present Siam R-CNN, a Siamese re-detection architecture which unleashes the full power of two-stage object detection approaches for visual object tracking. We combine this with…
Single-Shot Panoptic Segmentation
Mark Weber, Jonathon Luiten, Bastian Leibe
We present a novel end-to-end single-shot method that segments countable object instances (things) as well as background regions (stuff) into a non-overlapping panoptic segmentatio…
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
Johannes Groß, Aljosa Osep, Bastian Leibe
Methods tackling multi-object tracking need to estimate the number of targets in the sensing area as well as to estimate their continuous state. While the majority of existing meth…
Track to Reconstruct and Reconstruct to Track
Jonathon Luiten, Tobias Fischer, Bastian Leibe
Object tracking and 3D reconstruction are often performed together, with tracking used as input for reconstruction. However, the obtained reconstructions also provide useful inform…
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds
Francis Engelmann, Theodora Kontogianni, Bastian Leibe
In this work, we propose Dilated Point Convolutions (DPC). In a thorough ablation study, we show that the receptive field size is directly related to the performance of 3D point cl…
Visual Person Understanding through Multi-Task and Multi-Dataset Learning
Kilian Pfeiffer, Alexander Hermans, István Sárándi +2
We address the problem of learning a single model for person re-identification, attribute classification, body part segmentation, and pose estimation. With predictions for these ta…