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Dosovitskiy's with Publications

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24 publications
 
2018
Journal
Artistic style transfer for videos and spherical images   Paperruder_ijcv18.pdf doi>
Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
International Journal of Computer Vision, 126(11): 1199-1219, Nov 2018
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?   Paperpaper-1801.06397.pdf doi> Project
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, C. Hazirbas, D. Cremers, Alexey Dosovitskiy, Thomas Brox
International Journal of Computer Vision, 126(9): 942-960, 2018
 
2017
Journal
Learning to Generate Chairs, Tables and Cars with Convolutional Networks   PaperChairs_PAMI.pdf doi>
Alexey Dosovitskiy, J. Springenberg, Maxim Tatarchenko, Thomas Brox
IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4): 692-705, Apr 2017

Conference
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs   Paperpaper-ogn.pdf
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
IEEE International Conference on Computer Vision (ICCV), 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks   Paperpaper-FlowNet_2_0__CVPR_old_version.pdf doi>
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo   doi> Project
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
 
2016
Journal
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks   PaperExemplarCNN_PAMI_final.pdf doi>
Alexey Dosovitskiy, Philipp Fischer, J. Springenberg, M. Riedmiller, Thomas Brox
IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(9): 1734-1747, Oct 2016
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans   PaperManuscript55_main.pdf
V. Golkov, Alexey Dosovitskiy, J. Sperl, M. Menzel, M. Czisch, P. Sämann, Thomas Brox, D. Cremers
IEEE Transactions on Medical Imaging, 35(5), 2016

Conference
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation   Paperpaper-MIFDB16.pdf doi> Code/data Project
Nikolaus Mayer, Eddy Ilg, P. Häusser, Philipp Fischer, D. Cremers, Alexey Dosovitskiy, Thomas Brox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Inverting Visual Representations with Convolutional Networks   PaperInvert_AlexNet_final.pdf Code/data
Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Artistic style transfer for videos   Paperruder_gcpr16.pdf
M. Ruder, Alexey Dosovitskiy, Thomas Brox
German Conference on Pattern Recognition (GCPR), 2016
Multi-view 3D Models from Single Images with a Convolutional Network   Paperpaper-mv3d.pdf Code/data
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
European Conference on Computer Vision (ECCV), 2016
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images   Paperp5.pdf
V. Golkov, M. Skwark, A. Golkov, Alexey Dosovitskiy, Thomas Brox, J. Meiler, D. Cremers
Advances in Neural Information Processing Systems (NIPS), 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks  
A. Nguyen, Alexey Dosovitskiy, J. Yosinski, Thomas Brox, J. Clune
Advances in Neural Information Processing Systems (NIPS), 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks   Code/data
Alexey Dosovitskiy, Thomas Brox
Advances in Neural Information Processing Systems (NIPS), 2016
 
2015
Journal
On iteratively reweighted algorithms for non-smooth non-convex optimization in computer vision   PaperIRconvex.pdf doi>
Peter Ochs, Alexey Dosovitskiy, Thomas Brox, T. Pock
SIAM Journal on Imaging Sciences, 8(1): 331-372, 2015

Conference
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans   PaperMICCAI2015.pdf
V. Golkov, Alexey Dosovitskiy, P. Sämann, J. Sperl, T. Sprenger, M. Czisch, M. Menzel, P. Gómez, A. Haase, Thomas Brox, D. Cremers
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015
Learning to Generate Chairs with Convolutional Neural Networks   PaperGenerate_Chairs_arxiv.pdf Code/data
Alexey Dosovitskiy, J. Springenberg, Thomas Brox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015
FlowNet: Learning Optical Flow with Convolutional Networks   Paperflownet.pdf Code/data
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, P. Häusser, C. Hazırbaş, V. Golkov, P. Smagt, D. Cremers, Thomas Brox
IEEE International Conference on Computer Vision (ICCV), 2015
Striving for Simplicity: The All Convolutional Net   Paperstriving_for_simplicity.pdf
J. Springenberg, Alexey Dosovitskiy, Thomas Brox, M. Riedmiller
ICLR (workshop track), 2015
Image Orientation Estimation with Convolutional Networks   Paperimage_orientation.pdf
Philipp Fischer, Alexey Dosovitskiy, Thomas Brox
German Conference on Pattern Recognition (GCPR), Springer, 2015
 
2014

Conference
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks   Code/data
Alexey Dosovitskiy, J. Springenberg, M. Riedmiller, Thomas Brox
Advances in Neural Information Processing Systems 27 (NIPS), 2014

Others
Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT   Paper1405.5769v1.pdf
Philipp Fischer, Alexey Dosovitskiy, Thomas Brox
Technical Report 1405.5769, arXiv(1405.5769), May 2014
 
2013

Conference
An iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision   PaperncitL1.pdf Code/data
Peter Ochs, Alexey Dosovitskiy, T. Pock, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

24 publications