Παρακολούθηση
Vladimir Golkov
Vladimir Golkov
Technical University of Munich
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tum.de - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Flownet: Learning optical flow with convolutional networks
A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ...
Proceedings of the IEEE international conference on computer vision, 2758-2766, 2015
47692015
Flownet: Learning optical flow with convolutional networks
P Fischer, A Dosovitskiy, E Ilg, P Häusser, C Hazırbaş, V Golkov, ...
arXiv preprint arXiv:1504.06852, 2015
7542015
Regularization for deep learning: A taxonomy
J Kukačka, V Golkov, D Cremers
arXiv preprint arXiv:1710.10686, 2017
5372017
q-Space deep learning: twelve-fold shorter and model-free diffusion MRI scans
V Golkov, A Dosovitskiy, JI Sperl, MI Menzel, M Czisch, P Sämann, T Brox, ...
IEEE transactions on medical imaging 35 (5), 1344-1351, 2016
3862016
Efficient deep network architectures for fast chest X-ray tuberculosis screening and visualization
F Pasa, V Golkov, F Pfeiffer, D Cremers, D Pfeiffer
Scientific reports 9 (1), 6268, 2019
3732019
Clustering with deep learning: Taxonomy and new methods
E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers
arXiv preprint arXiv:1801.07648, 2018
3442018
Associative deep clustering: Training a classification network with no labels
P Haeusser, J Plapp, V Golkov, E Aljalbout, D Cremers
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
1522019
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
V Golkov, MJ Skwark, A Golkov, A Dosovitskiy, T Brox, J Meiler, ...
Advances in Neural Information Processing Systems 29, 2016
532016
Rotation-equivariant deep learning for diffusion MRI
P Müller, V Golkov, V Tomassini, D Cremers
arXiv preprint arXiv:2102.06942, 2021
342021
q-Space novelty detection with variational autoencoders
A Vasilev, V Golkov, M Meissner, I Lipp, E Sgarlata, V Tomassini, ...
Computational Diffusion MRI, 113-124, 2020
332020
3D deep learning for biological function prediction from physical fields
V Golkov, MJ Skwark, A Mirchev, G Dikov, AR Geanes, J Mendenhall, ...
2020 International Conference on 3D Vision (3DV), 928-937, 2020
212020
Regularization for deep learning: a taxonomy. 2017
J Kukacka, V Golkov, D Cremers
arXiv preprint arXiv:1710.10686, 1-23, 2021
182021
Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes
T Sprenger, JI Sperl, B Fernandez, V Golkov, I Eidner, PG Sämann, ...
Magnetic resonance in medicine 76 (6), 1684-1696, 2016
172016
Deep learning in attosecond metrology
C Brunner, A Duensing, C Schröder, M Mittermair, V Golkov, M Pollanka, ...
Optics Express 30 (9), 15669-15684, 2022
162022
Speech synthesis and control using differentiable DSP
G Fabbro, V Golkov, T Kemp, D Cremers
arXiv preprint arXiv:2010.15084, 2020
152020
Precursor microRNA identification using deep convolutional neural networks
BT Do, V Golkov, GE Gürel, D Cremers
BioRxiv, 414656, 2018
152018
Model-free novelty-based diffusion MRI
V Golkov, T Sprenger, J Sperl, M Menzel, M Czisch, P Samann, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1233-1236, 2016
152016
Clustering with deep learning: Taxonomy and new methods. arXiv 2018
E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers
arXiv preprint arXiv:1801.07648, 0
11
Learning to evolve
J Schuchardt, V Golkov, D Cremers
arXiv preprint arXiv:1905.03389, 2019
102019
q-Space novelty detection with variational autoencoders. arXiv
A Vasilev, V Golkov, M Meissner, I Lipp, E Sgarlata, V Tomassini, ...
arXiv preprint arXiv:1806.02997, 2018
62018
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