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Learning to Compare Image Patches via Convolutional Neural Networks.
Sergey Zagoruyko, Nikos Komodakis: Learning to Compare Image Patches via Convolutional Neural Networks. CoRR abs/1504.03641 (2015)
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Learning to compare image patches via convolutional neural networks.
Sergey Zagoruyko, Nikos Komodakis: Learning to compare image patches via convolutional neural networks. CVPR 2015: 4353-4361
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A MRF shape prior for facade parsing with occlusions.
Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet: A MRF shape prior for facade parsing with occlusions. CVPR 2015: 2820-2828
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Paying More Attention to Attention: Improving the Performance of...
Sergey Zagoruyko, Nikos Komodakis: Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. CoRR abs/1612.03928 (2016)
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Wide Residual Networks.
Sergey Zagoruyko, Nikos Komodakis: Wide Residual Networks. CoRR abs/1605.07146 (2016)
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A MultiPath Network for Object Detection.
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár: A MultiPath Network for Object Detection. CoRR abs/1604.02135 (2016)
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Depth Camera Based on Color-Coded Aperture.
Vladimir Paramonov, Ivan Panchenko, Victor Bucha, Andrey Drogolyub, Sergey Zagoruyko: Depth Camera Based on Color-Coded Aperture. CVPR Workshops 2016: 910-918
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A MultiPath Network for Object Detection.
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár: A MultiPath Network for Object Detection. BMVC 2016
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Wide Residual Networks.
Sergey Zagoruyko, Nikos Komodakis: Wide Residual Networks. BMVC 2016
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DiracNets: Training Very Deep Neural Networks Without Skip-Connections.
Sergey Zagoruyko, Nikos Komodakis: DiracNets: Training Very Deep Neural Networks Without Skip-Connections. CoRR abs/1706.00388 (2017)
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Scaling the Scattering Transform: Deep Hybrid Networks.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko: Scaling the Scattering Transform: Deep Hybrid Networks. CoRR abs/1703.08961 (2017)
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Paying More Attention to Attention: Improving the Performance of...
Sergey Zagoruyko, Nikos Komodakis: Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. ICLR (Poster) 2017
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Scaling the Scattering Transform: Deep Hybrid Networks.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko: Scaling the Scattering Transform: Deep Hybrid Networks. ICCV 2017: 5619-5628
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Deep compare: A study on using convolutional neural networks to compare image...
Sergey Zagoruyko, Nikos Komodakis: Deep compare: A study on using convolutional neural networks to compare image patches. Comput. Vis. Image Underst. 164: 38-55 (2017)
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Exploring Weight Symmetry in Deep Neural Network.
Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis: Exploring Weight Symmetry in Deep Neural Network. CoRR abs/1812.11027 (2018)
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Compressing the Input for CNNs with the First-Order Scattering Transform.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko: Compressing the Input for CNNs with the First-Order Scattering Transform. CoRR abs/1809.10200 (2018)
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Scattering Networks for Hybrid Representation Learning.
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky: Scattering Networks for Hybrid Representation Learning. CoRR...
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Compressing the Input for CNNs with the First-Order Scattering Transform.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko: Compressing the Input for CNNs with the First-Order Scattering Transform. ECCV (9) 2018: 305-320
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Weight parameterizations in deep neural networks. (Paramétrisation des poids...
Sergey Zagoruyko: Weight parameterizations in deep neural networks. (Paramétrisation des poids des réseaux de neurones profonds). University of Paris-Est, France, 2018
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Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning.
Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic: Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. CoRR...
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Scattering Networks for Hybrid Representation Learning.
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky: Scattering Networks for Hybrid Representation Learning. IEEE Trans....
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Exploring weight symmetry in deep neural networks.
Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis: Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. 187 (2019)
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End-to-End Object Detection with Transformers.
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko: End-to-End Object Detection with Transformers. CoRR abs/2005.12872 (2020)
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Polygames: Improved Zero Learning.
Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet,...
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End-to-End Object Detection with Transformers.
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko: End-to-End Object Detection with Transformers. ECCV (1) 2020: 213-229
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Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning.
Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic: Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics...
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Polygames: Improved zero learning.
Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet,...
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Safe Real-World Autonomous Driving by Learning to Predict and Plan with a...
Stefano Pini, Christian S. Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko: Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of...
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CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted...
Eesha Kumar, Yiming Zhang, Stefano Pini, Simon Stent, Ana Ferreira, Sergey Zagoruyko, Christian S. Perone: CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk...
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Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera...
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang: Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CoRR abs/2302.03802...
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Safe Real-World Autonomous Driving by Learning to Predict and Plan with a...
Stefano Pini, Christian S. Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko: Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of...
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Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera...
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang: Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CVPR 2023: 17928-17938
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A Computational Study of Matrix Decomposition Methods for Compression of...
Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko: A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained...
View ArticleTransformers Compression: A Study of Matrix Decomposition Methods Using...
Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko: Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher...
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Analysis of Images, Social Networks and Texts - 11th International...
Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena...
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