10 citations · 12 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
Towards Large-Scale Video Video Object Mining
Aljosa Osep, Paul Voigtlaender, Jonathon Luiten +2
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. We present a dataset…
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video
Aljoša Ošep, Paul Voigtlaender, Jonathon Luiten +2
We explore object discovery and detector adaptation based on unlabeled video sequences captured from a mobile platform. We propose a fully automatic approach for object mining from…
Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters
Lucas Beyer, Stefan Breuers, Vitaly Kurin +1
With the rise of end-to-end learning through deep learning, person detectors and re-identification (ReID) models have recently become very strong. Multi-camera multi-target (MCMT)…