Paul Voigtlaender
Paul Voigtlaender
Verified email at vision.rwth-aachen.de
Title
Cited by
Cited by
Year
Online adaptation of convolutional neural networks for video object segmentation
P Voigtlaender, B Leibe
British Machine Vision Conference (BMVC), 2017
1792017
A comprehensive study of deep bidirectional LSTM RNNs for acoustic modeling in speech recognition
A Zeyer, P Doetsch, P Voigtlaender, R Schlüter, H Ney
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
1172017
Handwriting Recognition with Large Multidimensional Long Short-Term Memory Recurrent Neural Networks
P Voigtlaender, P Doetsch, H Ney
International Conference on Frontiers in Handwriting Recognition (ICFHR …, 2016
1172016
MOTS: Multi-Object Tracking and Segmentation
P Voigtlaender, M Krause, A Osep, J Luiten, BBG Sekar, A Geiger, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
97*2019
PReMVOS: Proposal-generation, Refinement and Merging for the YouTube-VOS Challenge on Video Object Segmentation 2018
J Luiten, P Voigtlaender, B Leibe
European Conference on Computer Vision Workshops: 1st Large Scale Video …, 2018
94*2018
PReMVOS: Proposal-generation, refinement and merging for video object segmentation
J Luiten, P Voigtlaender, B Leibe
Asian Conference on Computer Vision, 2018
932018
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
P Voigtlaender, Y Chai, F Schroff, H Adam, B Leibe, LC Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
682019
RETURNN: The RWTH extensible training framework for universal recurrent neural networks
P Doetsch, A Zeyer, P Voigtlaender, I Kulikov, R Schlüter, H Ney
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
572017
Online adaptation of convolutional neural networks for the 2017 davis challenge on video object segmentation
P Voigtlaender, B Leibe
The 2017 DAVIS Challenge on Video Object Segmentation-CVPR Workshops 5 (6), 2017
362017
PReMVOS: Proposal-generation, Refinement and Merging for the DAVIS Challenge on Video Object Segmentation 2018
J Luiten, P Voigtlaender, B Leibe
The 2018 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2018
282018
Iteratively Trained Interactive Segmentation
S Mahadevan, P Voigtlaender, B Leibe
British Machine Vision Conference (BMVC), 2018
272018
Sequence-discriminative training of recurrent neural networks
P Voigtlaender, P Doetsch, S Wiesler, R Schlüter, H Ney
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
262015
Track, then decide: Category-agnostic vision-based multi-object tracking
A Ošep, W Mehner, P Voigtlaender, B Leibe
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-8, 2018
252018
Siam r-cnn: Visual tracking by re-detection
P Voigtlaender, J Luiten, PHS Torr, B Leibe
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Large-Scale Object Mining for Object Discovery from Unlabeled Video
A Osep, P Voigtlaender, J Luiten, S Breuers, B Leibe
International Conference on Robotics and Automation, 2019
92019
Large-scale object discovery and detector adaptation from unlabeled video
A Ošep, P Voigtlaender, J Luiten, S Breuers, B Leibe
arXiv preprint arXiv:1712.08832, 2017
92017
Boltvos: Box-level tracking for video object segmentation
P Voigtlaender, J Luiten, B Leibe
arXiv preprint arXiv:1904.04552, 2019
82019
4d generic video object proposals
A Osep, P Voigtlaender, M Weber, J Luiten, B Leibe
arXiv preprint arXiv:1901.09260, 2019
32019
4d generic video object proposals
A Ošep, P Voigtlaender, M Weber, J Luiten, B Leibe
2020 IEEE International Conference on Robotics and Automation (ICRA), 10031 …, 2020
22020
Combining premvos with box-level tracking for the 2019 davis challenge
J Luiten, P Voigtlaender, B Leibe
CVPRW, 2019
22019
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Articles 1–20