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Victor Lempitsky
Victor Lempitsky
Cinemersive Labs
在 cinemersivelabs.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
94032016
Unsupervised domain adaptation by backpropagation
Y Ganin, V Lempitsky
International Conference on Machine Learning (ICML 2015), 2015
68732015
Instance normalization: The missing ingredient for fast stylization
D Ulyanov, A Vedaldi, V Lempitsky
arXiv preprint arXiv:1607.08022, 2016
42682016
Deep image prior
D Ulyanov, A Vedaldi, V Lempitsky
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3517*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
23372011
Neural codes for image retrieval
A Babenko, A Slesarev, A Chigorin, V Lempitsky
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
15132014
Learning to count objects in images
V Lempitsky, A Zisserman
Advances in neural information processing systems 23, 2010
14692010
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
11812017
Aggregating local deep features for image retrieval
A Babenko, V Lempitsky
Proceedings of the IEEE international conference on computer vision, 1269-1277, 2015
1147*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
11052016
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
10462014
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
9082017
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
7822011
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
7282019
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
6502022
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
5732007
Fast convnets using group-wise brain damage
V Lebedev, V Lempitsky
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5482016
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
5342009
The inverted multi-index
A Babenko, V Lempitsky
IEEE transactions on pattern analysis and machine intelligence 37 (6), 1247-1260, 2014
5022014
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