Sergey Zagoruyko
Sergey Zagoruyko
Lyft
Adresse e-mail validée de lyft.com - Page d'accueil
Titre
Citée par
Citée par
Année
Wide residual networks
S Zagoruyko, N Komodakis
arXiv preprint arXiv:1605.07146, 2016
34422016
Learning to compare image patches via convolutional neural networks
S Zagoruyko, N Komodakis
Proceedings of the IEEE conference on computer vision and pattern …, 2015
11902015
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
7702016
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
3352020
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
1982016
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
922017
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
532016
Diracnets: Training very deep neural networks without skip-connections
S Zagoruyko, N Komodakis
arXiv preprint arXiv:1706.00388, 2017
442017
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
332015
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
282018
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
202017
Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer
N Komodakis, S Zagoruyko
ICLR, 2017
142017
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
132018
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
122020
Polygames: Improved zero learning
T Cazenave, YC Chen, GW Chen, SY Chen, XD Chiu, J Dehos, M Elsa, ...
ICGA Journal, 1-13, 2020
122020
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
112016
Exploring Weight Symmetry in Deep Neural Networks
XS Hu, S Zagoruyko, N Komodakis
arXiv preprint arXiv:1812.11027, 2018
72018
Exploring Weight Symmetry in Deep Neural Network
X Shell Hu, S Zagoruyko, N Komodakis
arXiv preprint arXiv:1812.11027, 2018
7*2018
Weight parameterizations in deep neural networks
S Zagoruyko
Université Paris-Est, 2018
2018
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning Download PDF
S Zagoruyko, Y Labbé, I Kalevatykh, I Laptev, J Carpentier, M Aubry, ...
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20