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Keuper Labs
Keuper Labs
Joint Labs of Margret Keuper and Janis Keuper
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Title
Cited by
Cited by
Year
Flownet 2.0: Evolution of optical flow estimation with deep networks
E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2017
35372017
Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions
R Durall, M Keuper, J Keuper
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2912020
Motion segmentation & multiple object tracking by correlation co-clustering
M Keuper, S Tang, B Andres, T Brox, B Schiele
IEEE transactions on pattern analysis and machine intelligence 42 (1), 140-153, 2018
2372018
Motion trajectory segmentation via minimum cost multicuts
M Keuper, B Andres, T Brox
Proceedings of the IEEE international conference on computer vision, 3271-3279, 2015
2302015
Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation
E Ilg, T Saikia, M Keuper, T Brox
Proceedings of the European conference on computer vision (ECCV), 614-630, 2018
2252018
Unmasking deepfakes with simple features
R Durall, M Keuper, FJ Pfreundt, J Keuper
arXiv preprint arXiv:1911.00686, 2019
2242019
Nas-bench-301 and the case for surrogate benchmarks for neural architecture search
J Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter
arXiv preprint arXiv:2008.09777 4, 14, 2020
1682020
Efficient decomposition of image and mesh graphs by lifted multicuts
M Keuper, E Levinkov, N Bonneel, G Lavoué, T Brox, B Andres
Proceedings of the IEEE international conference on computer vision, 1751-1759, 2015
1492015
Std2p: Rgbd semantic segmentation using spatio-temporal data-driven pooling
Y He, WC Chiu, M Keuper, M Fritz
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1352017
Distributed training of deep neural networks: Theoretical and practical limits of parallel scalability
J Keuper, FJ Preundt
2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 19-26, 2016
1142016
A multi-cut formulation for joint segmentation and tracking of multiple objects
M Keuper, S Tang, Y Zhongjie, B Andres, T Brox, B Schiele
arXiv preprint arXiv:1607.06317, 2016
1112016
Spectral graph reduction for efficient image and streaming video segmentation
F Galasso, M Keuper, T Brox, B Schiele
Proceedings of the IEEE conference on computer vision and pattern …, 2014
982014
Extracting horizon surfaces from 3D seismic data using deep learning
V Tschannen, M Delescluse, N Ettrich, J Keuper
Geophysics 85 (3), N17-N26, 2020
782020
Probflow: Joint optical flow and uncertainty estimation
AS Wannenwetsch, M Keuper, S Roth
Proceedings of the IEEE international conference on computer vision, 1173-1182, 2017
632017
Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks
A Zela, J Siems, L Zimmer, J Lukasik, M Keuper, F Hutter
arXiv preprint arXiv:2008.09777, 2020
532020
Asynchronous parallel stochastic gradient descent: A numeric core for scalable distributed machine learning algorithms
J Keuper, FJ Pfreundt
Proceedings of the Workshop on Machine Learning in High-Performance …, 2015
472015
Combating mode collapse in gan training: An empirical analysis using hessian eigenvalues
R Durall, A Chatzimichailidis, P Labus, J Keuper
arXiv preprint arXiv:2012.09673, 2020
462020
Beyond the spectrum: Detecting deepfakes via re-synthesis
Y He, N Yu, M Keuper, M Fritz
arXiv preprint arXiv:2105.14376, 2021
452021
Spectraldefense: Detecting adversarial attacks on cnns in the fourier domain
P Harder, FJ Pfreundt, M Keuper, J Keuper
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
442021
Detection of point scatterers using diffraction imaging and deep learning
V Tschannen, N Ettrich, M Delescluse, J Keuper
Geophysical Prospecting 68 (3), 830-844, 2020
442020
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Articles 1–20