Janis Keuper
Janis Keuper
Other namesJanis Fehr
Institute for Machine Learning and Analytics (IMLA), Offenburg University, Germany
Verified email at - Homepage
Cited by
Cited by
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
Unmasking deepfakes with simple features
R Durall, M Keuper, FJ Pfreundt, J Keuper
arXiv preprint arXiv:1911.00686, 2019
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
Generating EPI representations of 4D light fields with a single lens focused plenoptic camera
S Wanner, J Fehr, B Jähne
Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011
3D rotation invariant local binary patterns
J Fehr, H Burkhardt
2008 19th International conference on pattern recognition, 1-4, 2008
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
Extracting horizon surfaces from 3D seismic data using deep learningDeep learning for horizon picking
V Tschannen, M Delescluse, N Ettrich, J Keuper
Geophysics 85 (3), N17-N26, 2020
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
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
Rotational invariant uniform local binary patterns for full 3D volume texture analysis
J Fehr
Finnish signal processing symposium (FINSIG), 1-7, 2007
A Bag of Features Approach for 3D Shape Retrieval
J Fehr, A Streicher, H Burkhardt
Advances in Visual Computing: 5th International Symposium, ISVC 2009, Las …, 2009
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
Voxel-wise gray scale invariants for simultaneous segmentation and classification
O Ronneberger, J Fehr, H Burkhardt
Joint Pattern Recognition Symposium, 85-92, 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
Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 …, 2005
Facies classification from well logs using an inception convolutional network
Tschannen, Delescluse, Rodriguez, J Keuper
arXiv:1706.00613, 2017
Local rotation invariant patch descriptors for 3D vector fields
J Fehr
2010 20th International Conference on Pattern Recognition, 1381-1384, 2010
Fast support vector machine classification of very large datasets
J Fehr, KZ Arreola, H Burkhardt
Data Analysis, Machine Learning and Applications: Proceedings of the 31st …, 2008
Fast support vector machine classification using linear SVMs
KZ Arreola, J Fehr, H Burkhardt
18th International Conference on Pattern Recognition (ICPR'06) 3, 366-369, 2006
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
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
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