10 citations · 12 across the 3 of their papers we have counts for
5 papers
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…
Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline
Stefan Breuers, Lucas Beyer, Umer Rafi +1
In the past decade many robots were deployed in the wild, and people detection and tracking is an important component of such deployments. On top of that, one often needs to run mo…
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)…