Følg
Victor Lempitsky
Victor Lempitsky
Cinemersive Labs
Verifisert e-postadresse på cinemersivelabs.com
Tittel
Sitert av
Sitert av
År
Domain-adversarial training of neural networks
Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ...
Journal of machine learning research 17 (59), 1-35, 2016
92522016
Unsupervised domain adaptation by backpropagation
Y Ganin, V Lempitsky
International Conference on Machine Learning (ICML 2015), 2015
67572015
Instance normalization: The missing ingredient for fast stylization
D Ulyanov, A Vedaldi, V Lempitsky
arXiv preprint arXiv:1607.08022, 2016
41972016
Deep image prior
D Ulyanov, A Vedaldi, V Lempitsky
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3463*2018
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
23412011
Neural codes for image retrieval
A Babenko, A Slesarev, A Chigorin, V Lempitsky
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
15112014
Learning to count objects in images
V Lempitsky, A Zisserman
Advances in neural information processing systems 23, 2010
14602010
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
11732017
Aggregating local deep features for image retrieval
A Babenko, V Lempitsky
Proceedings of the IEEE international conference on computer vision, 1269-1277, 2015
1143*2015
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
11032016
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
10402014
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
9062017
Class-specific hough forests for object detection
J Gall, V Lempitsky
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1022 - 1029, 2009
840*2009
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
7812011
Few-shot adversarial learning of realistic neural talking head models
E Zakharov, A Shysheya, E Burkov, V Lempitsky
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
7262019
Resolution-robust large mask inpainting with fourier convolutions
R Suvorov, E Logacheva, A Mashikhin, A Remizova, A Ashukha, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
5982022
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
5712007
Fast convnets using group-wise brain damage
V Lebedev, V Lempitsky
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5462016
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
5302009
The inverted multi-index
A Babenko, V Lempitsky
IEEE transactions on pattern analysis and machine intelligence 37 (6), 1247-1260, 2014
5002014
Systemet kan ikke utføre handlingen. Prøv på nytt senere.
Artikler 1–20