Следене
Janis Keuper
Janis Keuper
Institute for Machine Learning and Analytics (IMLA), Offenburg University, Germany
Потвърден имейл адрес: hs-offenburg.de - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
3682020
Unmasking deepfakes with simple features
R Durall, M Keuper, FJ Pfreundt, J Keuper
arXiv preprint arXiv:1911.00686, 2019
2852019
3D rotation invariant local binary patterns
J Fehr, H Burkhardt
2008 19th International conference on pattern recognition, 1-4, 2008
1342008
Distributed training of deep neural networks: Theoretical and practical limits of parallel scalability
J Keuper, FJ Pfreundt
2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 19-26, 2016
1232016
Generating EPI representations of 4D light fields with a single lens focused plenoptic camera
S Wanner, J Fehr, B Jähne
International Symposium on Visual Computing, 90-101, 2011
1062011
Extracting horizon surfaces from 3D seismic data using deep learning
V Tschannen, M Delescluse, N Ettrich, J Keuper
Geophysics 85 (3), N17-N26, 2020
912020
Computing Range Flow from Multi-modal Kinect Data
JM Gottfried, J Fehr, CS Garbe
Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011
822011
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues
R Durall, A Chatzimichailidis, P Labus, J Keuper
Proceedings of the International Conference on Computer Vision Theory and …, 2021
562021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
P Harder, FJ Pfreundt, M Keuper, J Keuper
Proceedings of the International Joint Conference on Neural Networks 2021, 2021
542021
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
482015
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
462020
A Bag of Features Approach for 3D Shape Retrieval
J Fehr, A Streicher, H Burkhardt
International symposium on visual computing, 34-43, 2009
432009
Pericytes in the mature chorioallantoic membrane capillary plexus contain desmin and α-smooth muscle actin: Relevance for non-sprouting angiogenesis
H Kurz, J Fehr, R Nitschke, H Burkhardt
Histochemistry and cell biology 130, 1027-1040, 2008
432008
Cnn filter db: An empirical investigation of trained convolutional filters
P Gavrikov, J Keuper
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
402022
Facies classification from well logs using an inception convolutional network
Tschannen, Delescluse, Rodriguez, J Keuper
arXiv:1706.00613, 2017
382017
Deep diffusion models for seismic processing
R Durall, A Ghanim, MR Fernandez, N Ettrich, J Keuper
Computers & Geosciences 177, 105377, 2023
372023
Voxel-wise gray scale invariants for simultaneous segmentation and classification
O Ronneberger, J Fehr, H Burkhardt
Joint Pattern Recognition Symposium, 85-92, 2005
37*2005
Self-learning segmentation and classification of cell-nuclei in 3d volumetric data using voxel-wise gray scale invariants
J Fehr, O Ronneberger, H Kurz, H Burkhardt
Joint Pattern Recognition Symposium, 377-384, 2005
292005
Tensorquant: A simulation toolbox for deep neural network quantization
DM Loroch, FJ Pfreundt, N Wehn, J Keuper
Proceedings of the Machine Learning on HPC Environments, 1-8, 2017
262017
Local rotation invariant patch descriptors for 3D vector fields
J Fehr
2010 20th International Conference on Pattern Recognition, 1381-1384, 2010
252010
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Статии 1–20