10 citations · 11 across the 2 of their papers we have counts for
13 papers · 1 filter
Forecasting from LiDAR via Future Object Detection
Neehar Peri, Jonathon Luiten, Mengtian Li +3
Object detection and forecasting are fundamental components of embodied perception. These two problems, however, are largely studied in isolation by the community. In this paper, w…
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer +4
Multi-Object Tracking (MOT) has been notoriously difficult to evaluate. Previous metrics overemphasize the importance of either detection or association. To address this, we presen…
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
Jonathon Luiten, Idil Esen Zulfikar, Bastian Leibe
We address Unsupervised Video Object Segmentation (UVOS), the task of automatically generating accurate pixel masks for salient objects in a video sequence and of tracking these ob…
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…
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…