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ORCIDSergey Zagoruyko
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2020 – today
- 2024
[c14]Ammar Ali, Georgii Gaikov, Denis Rybalchenko, Alexander Chigorin, Ivan Laptev, Sergey Zagoruyko:
PairDETR : Joint Detection and Association of Human Bodies and Faces. CVPR 2024: 423-432- [e2]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 Tutubalina, Sergey Zagoruyko:
Recent Trends in Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers. Communications in Computer and Information Science 1905, Springer 2024, ISBN 978-3-031-67007-7 [contents] - [e1]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 Tutubalina, Sergey Zagoruyko:
Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14486, Springer 2024, ISBN 978-3-031-54533-7 [contents] - [i16]Mohamad Al Mdfaa, Raghad Salameh, Sergey Zagoruyko, Gonzalo Ferrer:
Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models. CoRR abs/2405.02162 (2024) - 2023
- [c13]Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko:
Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. AIST 2023: 36-48 - [c12]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 - [c11]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 Experts. ICRA 2023: 10069-10075 - [c10]Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko:
A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. PACLIC 2023: 723-742 - [i15]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 (2023) - 2022
- [i14]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 Minimization. CoRR abs/2210.02174 (2022) - [i13]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 Experts. CoRR abs/2211.02131 (2022) - 2020
- [j5]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, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko:
Polygames: Improved zero learning. J. Int. Comput. Games Assoc. 42(4): 244-256 (2020) - [j4]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 Autom. Lett. 5(2): 3715-3722 (2020) - [c9]Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. ECCV (1) 2020: 213-229 - [i12]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, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko:
Polygames: Improved Zero Learning. CoRR abs/2001.09832 (2020) - [i11]Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. CoRR abs/2005.12872 (2020)
2010 – 2019
- 2019
- [j3]Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis:
Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. 187 (2019) - [j2]Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2208-2221 (2019) - [i10]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 abs/1904.10348 (2019) - 2018
- [b1]Sergey Zagoruyko:
Weight parameterizations in deep neural networks. (Paramétrisation des poids des réseaux de neurones profonds). University of Paris-Est, France, 2018 - [c8]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko:
Compressing the Input for CNNs with the First-Order Scattering Transform. ECCV (9) 2018: 305-320 - [i9]Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. CoRR abs/1809.06367 (2018) - [i8]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko:
Compressing the Input for CNNs with the First-Order Scattering Transform. CoRR abs/1809.10200 (2018) - [i7]Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis:
Exploring Weight Symmetry in Deep Neural Network. CoRR abs/1812.11027 (2018) - 2017
- [j1]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) - [c7]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko:
Scaling the Scattering Transform: Deep Hybrid Networks. ICCV 2017: 5619-5628 - [c6]Sergey Zagoruyko, Nikos Komodakis:
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. ICLR (Poster) 2017 - [i6]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko:
Scaling the Scattering Transform: Deep Hybrid Networks. CoRR abs/1703.08961 (2017) - [i5]Sergey Zagoruyko, Nikos Komodakis:
DiracNets: Training Very Deep Neural Networks Without Skip-Connections. CoRR abs/1706.00388 (2017) - 2016
- [c5]Sergey Zagoruyko, Nikos Komodakis:
Wide Residual Networks. BMVC 2016 - [c4]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. BMVC 2016 - [c3]Vladimir Paramonov, Ivan Panchenko, Victor Bucha, Andrey Drogolyub, Sergey Zagoruyko:
Depth Camera Based on Color-Coded Aperture. CVPR Workshops 2016: 910-918 - [i4]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) - [i3]Sergey Zagoruyko, Nikos Komodakis:
Wide Residual Networks. CoRR abs/1605.07146 (2016) - [i2]Sergey Zagoruyko, Nikos Komodakis:
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. CoRR abs/1612.03928 (2016) - 2015
- [c2]Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet:
A MRF shape prior for facade parsing with occlusions. CVPR 2015: 2820-2828 - [c1]Sergey Zagoruyko, Nikos Komodakis:
Learning to compare image patches via convolutional neural networks. CVPR 2015: 4353-4361 - [i1]Sergey Zagoruyko, Nikos Komodakis:
Learning to Compare Image Patches via Convolutional Neural Networks. CoRR abs/1504.03641 (2015)
Coauthor Index
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