Sergey Zagoruyko
Sergey Zagoruyko
Lyft
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Title
Cited by
Cited by
Year
Wide residual networks
S Zagoruyko, N Komodakis
arXiv preprint arXiv:1605.07146, 2016
41532016
Learning to compare image patches via convolutional neural networks
S Zagoruyko, N Komodakis
Proceedings of the IEEE conference on computer vision and pattern …, 2015
13292015
Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer
S Zagoruyko, N Komodakis
arXiv preprint arXiv:1612.03928, 2016
9762016
End-to-end object detection with transformers
N Carion, F Massa, G Synnaeve, N Usunier, A Kirillov, S Zagoruyko
European Conference on Computer Vision, 213-229, 2020
9542020
A multipath network for object detection
S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollár
arXiv preprint arXiv:1604.02135, 2016
2162016
Scaling the scattering transform: Deep hybrid networks
E Oyallon, E Belilovsky, S Zagoruyko
Proceedings of the IEEE international conference on computer vision, 5618-5627, 2017
1052017
Benchmarking deep learning frameworks for the classification of very high resolution satellite multispectral data.
M Papadomanolaki, M Vakalopoulou, S Zagoruyko, K Karantzalos
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2016
562016
Wide residual networks. arXiv 2016
S Zagoruyko, N Komodakis
arXiv preprint arXiv:1605.07146, 2019
542019
Diracnets: Training very deep neural networks without skip-connections
S Zagoruyko, N Komodakis
arXiv preprint arXiv:1706.00388, 2017
502017
Scattering networks for hybrid representation learning
E Oyallon, S Zagoruyko, G Huang, N Komodakis, S Lacoste-Julien, ...
IEEE transactions on pattern analysis and machine intelligence 41 (9), 2208-2221, 2018
432018
A MRF shape prior for facade parsing with occlusions
M Kozinski, R Gadde, S Zagoruyko, G Obozinski, R Marlet
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
352015
Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer
N Komodakis, S Zagoruyko
ICLR, 2017
312017
Deep compare: A study on using convolutional neural networks to compare image patches
S Zagoruyko, N Komodakis
Computer Vision and Image Understanding 164, 38-55, 2017
222017
Monte-carlo tree search for efficient visually guided rearrangement planning
Y Labbé, S Zagoruyko, I Kalevatykh, I Laptev, J Carpentier, M Aubry, ...
IEEE Robotics and Automation Letters 5 (2), 3715-3722, 2020
192020
Compressing the input for cnns with the first-order scattering transform
E Oyallon, E Belilovsky, S Zagoruyko, M Valko
Proceedings of the European Conference on Computer Vision (ECCV), 301-316, 2018
192018
Polygames: Improved zero learning
T Cazenave, YC Chen, GW Chen, SY Chen, XD Chiu, J Dehos, M Elsa, ...
ICGA Journal, 1-13, 2020
152020
Depth camera based on color-coded aperture
V Paramonov, I Panchenko, V Bucha, A Drogolyub, S Zagoruyko
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
142016
Exploring Weight Symmetry in Deep Neural Networks
XS Hu, S Zagoruyko, N Komodakis
arXiv preprint arXiv:1812.11027, 2018
102018
Exploring Weight Symmetry in Deep Neural Network
X Shell Hu, S Zagoruyko, N Komodakis
arXiv preprint arXiv:1812.11027, 2018
10*2018
Exploring Weight Symmetry in Deep Neural Networks
S Zagoruyko, S Hu, N Komodakis
2018
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Articles 1–20