| 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 | 4531 | 2015 |
| 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 | 734 | 2015 |
| Regularization for deep learning: A taxonomy J Kukačka, V Golkov, D Cremers arXiv preprint arXiv:1710.10686, 2017 | 507 | 2017 |
| 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 | 359 | 2016 |
| 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 | 348 | 2019 |
| Clustering with deep learning: Taxonomy and new methods E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers arXiv preprint arXiv:1801.07648, 2018 | 329 | 2018 |
| 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 | 145 | 2019 |
| 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 | 53 | 2016 |
| 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 | 31 | 2020 |
| Rotation-equivariant deep learning for diffusion MRI P Müller, V Golkov, V Tomassini, D Cremers arXiv preprint arXiv:2102.06942, 2021 | 28 | 2021 |
| 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 | 20 | 2020 |
| Regularization for deep learning: a taxonomy. 2017 J Kukacka, V Golkov, D Cremers arXiv preprint arXiv:1710.10686, 1-23, 2021 | 18 | 2021 |
| 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 | 17 | 2016 |
| Speech synthesis and control using differentiable DSP G Fabbro, V Golkov, T Kemp, D Cremers arXiv preprint arXiv:2010.15084, 2020 | 15 | 2020 |
| Precursor microRNA identification using deep convolutional neural networks BT Do, V Golkov, GE Gürel, D Cremers BioRxiv, 414656, 2018 | 15 | 2018 |
| 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 | 15 | 2016 |
| Deep learning in attosecond metrology C Brunner, A Duensing, C Schröder, M Mittermair, V Golkov, M Pollanka, ... Optics Express 30 (9), 15669-15684, 2022 | 13 | 2022 |
| 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 | 9 | 2019 |
| 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 | 6 | 2018 |
Daniel CremersTechnical University of Munich在 tum.de 的电子邮件经过验证
