no code implementations • 28 Feb 2019 • Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe
This paper addresses the problem of object discovery from unlabeled driving videos captured in a realistic automotive setting.
no code implementations • 19 Sep 2018 • Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe
We propose to leverage a generic object tracker in order to perform object mining in large-scale unlabeled videos, captured in a realistic automotive setting.
1 code implementation • 26 Apr 2018 • Stefan Breuers, Lucas Beyer, Umer Rafi, Bastian Leibe
In the past decade many robots were deployed in the wild, and people detection and tracking is an important component of such deployments.
1 code implementation • 23 Dec 2017 • Aljoša Ošep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe
We explore object discovery and detector adaptation based on unlabeled video sequences captured from a mobile platform.
2 code implementations • 12 May 2017 • Lucas Beyer, Stefan Breuers, Vitaly Kurin, Bastian Leibe
With the rise of end-to-end learning through deep learning, person detectors and re-identification (ReID) models have recently become very strong.