Sergey Zagoruyko

According to our database, Sergey Zagoruyko authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models.

Mohamad Al Mdfaa, Raghad Salameh, Sergey Zagoruyko, Gonzalo Ferrer

CoRR, 2024

PairDETR : Joint Detection and Association of Human Bodies and Faces.

Ammar Ali, Georgii Gaikov, Denis Rybalchenko, Alexander Chigorin, Ivan Laptev, Sergey Zagoruyko

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers.

Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts.

Stefano Pini, Christian S. Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking.

Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information.

Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko

Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization.

Eesha Kumar, Yiming Zhang, Stefano Pini, Simon Stent, Ana Ferreira, Sergey Zagoruyko, Christian S. Perone

CoRR, 2022

2020

Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning.

Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic

IEEE Robotics Autom. Lett., 2020

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, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko

J. Int. Comput. Games Assoc., 2020

End-to-End Object Detection with Transformers.

Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Scattering Networks for Hybrid Representation Learning.

Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Exploring weight symmetry in deep neural networks.

Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis

Comput. Vis. Image Underst., 2019

2018

Weight parameterizations in deep neural networks. (Paramétrisation des poids des réseaux de neurones profonds).

Sergey Zagoruyko

PhD thesis, 2018

Exploring Weight Symmetry in Deep Neural Network.

Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis

CoRR, 2018

Compressing the Input for CNNs with the First-Order Scattering Transform.

Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Deep compare: A study on using convolutional neural networks to compare image patches.

Sergey Zagoruyko, Nikos Komodakis

Comput. Vis. Image Underst., 2017

DiracNets: Training Very Deep Neural Networks Without Skip-Connections.

Sergey Zagoruyko, Nikos Komodakis

CoRR, 2017

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

Sergey Zagoruyko, Nikos Komodakis

Proceedings of the 5th International Conference on Learning Representations, 2017

Scaling the Scattering Transform: Deep Hybrid Networks.

Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Depth Camera Based on Color-Coded Aperture.

Vladimir Paramonov, Ivan Panchenko, Victor Bucha, Andrey Drogolyub, Sergey Zagoruyko

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

A MultiPath Network for Object Detection.

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár

Proceedings of the British Machine Vision Conference 2016, 2016

Wide Residual Networks.

Sergey Zagoruyko, Nikos Komodakis

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Learning to compare image patches via convolutional neural networks.

Sergey Zagoruyko, Nikos Komodakis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A MRF shape prior for facade parsing with occlusions.

Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015