Vadim Lebedev
TitleCited byYear
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.
D Ulyanov, V Lebedev, A Vedaldi, VS Lempitsky
ICML 1 (2), 4, 2016
3402016
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
2662014
Fast convnets using group-wise brain damage
V Lebedev, V Lempitsky
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1572016
Audio texture synthesis and style transfer
D Ulyanov, V Lebedev
URL https://dmitryulyanov. github. io/audio-texture-synthesis-and-style-transfer, 2016
152016
Learnable visual markers
O Grinchuk, V Lebedev, V Lempitsky
Advances in Neural Information Processing Systems, 4143-4151, 2016
22016
Spatiotemporal Data Fusion for Precipitation Nowcasting
V Ivashkin, V Lebedev
arXiv preprint arXiv:1812.10915, 2018
12018
Impostor Networks for Fast Fine-Grained Recognition
V Lebedev, A Babenko, V Lempitsky
arXiv preprint arXiv:1806.05217, 2018
12018
Speeding-up convolutional neural networks: A survey
V Lebedev, V Lempitsky
Bulletin of the Polish Academy of Sciences. Technical Sciences 66 (6), 2018
12018
Speeding-up convolutional neural networks using fine-tuned cp-decomposition
M Rakhuba, I Oseledets, V Lempitsky, V Lebedev, Y Ganin
Computer Science, 2014
12014
Precipitation Nowcasting with Satellite Imagery
V Lebedev, V Ivashkin, I Rudenko, A Ganshin, A Molchanov, ...
arXiv preprint arXiv:1905.09932, 2019
2019
Shifted Convolutions for Speeding up of Convolutional networks
A MAKAROVA, V LEBEDEV, V LEMPITSKY
2017
ALGORITHMS FOR SPEEDING UP CONVOLUTIONAL NEURAL NETWORKS
V LEBEDEV
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Articles 1–12