Alexey Dosovitskiy
Alexey Dosovitskiy
Research Scientist, Google Brain
Verified email at google.com
TitleCited byYear
Striving for simplicity: The all convolutional net
JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller
arXiv preprint arXiv:1412.6806, 2014
15302014
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
1212*2015
Flownet 2.0: Evolution of optical flow estimation with deep networks
E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2017
7032017
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
5972016
Learning to generate chairs with convolutional neural networks
A Dosovitskiy, J Tobias Springenberg, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
5052015
Generating images with perceptual similarity metrics based on deep networks
A Dosovitskiy, T Brox
Advances in neural information processing systems, 658-666, 2016
4012016
CARLA: An open urban driving simulator
A Dosovitskiy, G Ros, F Codevilla, A Lopez, V Koltun
Conference on Robot Learning (CoRL), 2017
3512017
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems, 766-774, 2014
324*2014
Inverting visual representations with convolutional networks
A Dosovitskiy, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
305*2016
Plug & play generative networks: Conditional iterative generation of images in latent space
A Nguyen, J Clune, Y Bengio, A Dosovitskiy, J Yosinski
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2752017
Demon: Depth and motion network for learning monocular stereo
B Ummenhofer, H Zhou, J Uhrig, N Mayer, E Ilg, A Dosovitskiy, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2192017
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
A Nguyen, A Dosovitskiy, J Yosinski, T Brox, J Clune
Advances in Neural Information Processing Systems, 3387-3395, 2016
2142016
Multi-view 3d models from single images with a convolutional network
M Tatarchenko, A Dosovitskiy, T Brox
European Conference on Computer Vision, 322-337, 2016
199*2016
Descriptor matching with convolutional neural networks: a comparison to sift
P Fischer, A Dosovitskiy, T Brox
arXiv preprint arXiv:1405.5769, 2014
1862014
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
M Tatarchenko, A Dosovitskiy, T Brox
Proceedings of the IEEE International Conference on Computer Vision, 2088-2096, 2017
1822017
Learning to act by predicting the future
A Dosovitskiy, V Koltun
International Conference on Learning Representations (ICLR) 2017, 2016
1442016
Discriminative unsupervised feature learning with exemplar convolutional neural networks
A Dosovitskiy, P Fischer, JT Springenberg, M Riedmiller, T Brox
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1734-1747, 2015
1322015
End-to-end driving via conditional imitation learning
F Codevilla, M Müller, A López, V Koltun, A Dosovitskiy
International Conference on Robotics and Automation (ICRA), 2017
1152017
Learning to generate chairs, tables and cars with convolutional networks
A Dosovitskiy, JT Springenberg, M Tatarchenko, T Brox
IEEE transactions on pattern analysis and machine intelligence 39 (4), 692-705, 2016
1142016
Artistic style transfer for videos
M Ruder, A Dosovitskiy, T Brox
German Conference on Pattern Recognition, 26-36, 2016
992016
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Articles 1–20