2.9k citations · 6k across the 40 of their papers we have counts for
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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…
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking
Aljoša Ošep, Wolfgang Mehner, Paul Voigtlaender +1
The most common paradigm for vision-based multi-object tracking is tracking-by-detection, due to the availability of reliable detectors for several important object categories such…
Online Adaptation of Convolutional Neural Networks for Video Object Segmentation
Paul Voigtlaender, Bastian Leibe
We tackle the task of semi-supervised video object segmentation, i.e. segmenting the pixels belonging to an object in the video using the ground truth pixel mask for the first fram…
The Atari Grand Challenge Dataset
Vitaly Kurin, Sebastian Nowozin, Katja Hofmann +2
Recent progress in Reinforcement Learning (RL), fueled by its combination, with Deep Learning has enabled impressive results in learning to interact with complex virtual environmen…
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)…
Keyframe-Based Visual-Inertial Online SLAM with Relocalization
Anton Kasyanov, Francis Engelmann, Jörg Stückler +1
Complementing images with inertial measurements has become one of the most popular approaches to achieve highly accurate and robust real-time camera pose tracking. In this paper, w…