Victor Lempitsky
Victor Lempitsky
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Domain-adversarial training of neural networks
Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ...
The journal of machine learning research 17 (1), 2096-2030, 2016
27912016
Unsupervised domain adaptation by backpropagation
Y Ganin, V Lempitsky
International Conference on Machine Learning (ICML 2015), 2015
22042015
Instance normalization: The missing ingredient for fast stylization
D Ulyanov, A Vedaldi, V Lempitsky
arXiv preprint arXiv:1607.08022, 2016
13652016
Neural codes for image retrieval
A Babenko, A Slesarev, A Chigorin, V Lempitsky
European conference on computer vision, 584-599, 2014
10662014
The devil is in the details: an evaluation of recent feature encoding methods.
K Chatfield, VS Lempitsky, A Vedaldi, A Zisserman
BMVC 2 (4), 8, 2011
10632011
Deep image prior
D Ulyanov, A Vedaldi, V Lempitsky
Proceedings of the IEEE conference on computer vision and pattern …, 2018
8672018
Learning to count objects in images
V Lempitsky, A Zisserman
Advances in neural information processing systems 23, 1324-1332, 2010
8662010
Class-specific hough forests for object detection
J Gall, V Lempitsky
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1022 - 1029, 2009
783*2009
Aggregating local deep features for image retrieval
A Babenko, V Lempitsky
Proceedings of the IEEE international conference on computer vision, 1269-1277, 2015
707*2015
Hough forests for object detection, tracking, and action recognition
J Gall, A Yao, N Razavi, L Van Gool, V Lempitsky
IEEE transactions on pattern analysis and machine intelligence 33 (11), 2188 …, 2011
6802011
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
D Ulyanov, V Lebedev, A Vedaldi, V Lempitsky
International Conference on Machine Learning (ICML 2016), 2016
5982016
Speeding-up convolutional neural networks using fine-tuned cp-decomposition
V Lebedev, Y Ganin, M Rakhuba, I Oseledets, V Lempitsky
arXiv preprint arXiv:1412.6553, 2014
5412014
Optimizing binary MRFs via extended roof duality
C Rother, V Kolmogorov, V Lempitsky, M Szummer
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
5402007
Escape from cells: Deep kd-networks for the recognition of 3d point cloud models
R Klokov, V Lempitsky
Proceedings of the IEEE International Conference on Computer Vision, 863-872, 2017
5142017
Image segmentation with a bounding box prior
V Lempitsky, P Kohli, C Rother, T Sharp
2009 IEEE 12th international conference on computer vision, 277-284, 2009
4102009
On detection of multiple object instances using hough transforms
O Barinova, V Lempitsky, P Kholi
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (9), 1773-1784, 2012
3862012
Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
D Ulyanov, A Vedaldi, V Lempitsky
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3402017
The inverted multi-index
A Babenko, V Lempitsky
IEEE transactions on pattern analysis and machine intelligence 37 (6), 1247-1260, 2014
3342014
Markov random fields for vision and image processing
A Blake, P Kohli, C Rother
MIT press, 2011
3152011
Fast convnets using group-wise brain damage
V Lebedev, V Lempitsky
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
3082016
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