Janis Keuper (Fehr)
Janis Keuper (Fehr)
Institute for Machine Learning and Analytics (IMLA), Offenburg University, Germany
Email verificata su hs-offenburg.de - Home page
Titolo
Citata da
Citata da
Anno
3D rotation invariant local binary patterns
J Fehr, H Burkhardt
2008 19th International conference on pattern recognition, 1-4, 2008
902008
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
842011
Computing Range Flow from Multi-modal Kinect Data
JM Gottfried, J Fehr, CS Garbe
International symposium on visual computing, 758-767, 2011
752011
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
742016
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
402020
Rotational invariant uniform local binary patterns for full 3D volume texture analysis
J Fehr
Finnish signal processing symposium (FINSIG), 1-7, 2007
392007
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
382015
Unmasking deepfakes with simple features
R Durall, M Keuper, FJ Pfreundt, J Keuper
arXiv preprint arXiv:1911.00686, 2019
362019
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 (5), 1027-1040, 2008
352008
A Bag of Features Approach for 3D Shape Retrieval
J Fehr, A Streicher, H Burkhardt
International symposium on visual computing, 34-43, 2009
342009
Voxel-wise gray scale invariants for simultaneous segmentation and classification
O Ronneberger, J Fehr, H Burkhardt
Joint Pattern Recognition Symposium, 85-92, 2005
32*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
282005
Local rotation invariant patch descriptors for 3D vector fields
J Fehr
2010 20th International Conference on Pattern Recognition, 1381-1384, 2010
242010
Fast support vector machine classification of very large datasets
J Fehr, KZ Arreola, H Burkhardt
Data Analysis, Machine Learning and Applications, 11-18, 2008
22*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
222006
Fast generalized belief propagation for MAP estimation on 2D and 3D grid-like markov random fields
K Petersen, J Fehr, H Burkhardt
Joint Pattern Recognition Symposium, 41-50, 2008
152008
Harmonic Shape Histograms for 3D Shape Classification and Retrieval.
J Fehr, H Burkhardt
MVA, 384-387, 2007
142007
Fast and accurate rotation estimation on the 2-sphere without correspondences
J Fehr, M Reisert, H Burkhardt
European Conference on Computer Vision, 239-251, 2008
122008
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
112017
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
102020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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