1.1k citations · 1.4k across the 24 of their papers we have counts for
5 papers · 1 filter
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…
How To Train Your Deep Multi-Object Tracker
Yihong Xu, Aljosa Osep, Yutong Ban +3
The recent trend in vision-based multi-object tracking (MOT) is heading towards leveraging the representational power of deep learning to jointly learn to detect and track objects.…
Large-Scale Object Mining for Object Discovery from Unlabeled Video
Aljosa Osep, Paul Voigtlaender, Jonathon Luiten +2
This paper addresses the problem of object discovery from unlabeled driving videos captured in a realistic automotive setting. Identifying recurring object categories in such raw v…
MOTS: Multi-Object Tracking and Segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep +4
This paper extends the popular task of multi-object tracking to multi-object tracking and segmentation (MOTS). Towards this goal, we create dense pixel-level annotations for two ex…
4D Generic Video Object Proposals
Aljosa Osep, Paul Voigtlaender, Mark Weber +2
Many high-level video understanding methods require input in the form of object proposals. Currently, such proposals are predominantly generated with the help of networks that were…