A MRF shape prior for facade parsing with occlusions. - Mateusz Kozinski; Raghudeep Gadde; Sergey Zagoruyko; Guillaume Obozinski; Renaud Marlet (CVPR, 2015)

Learning to compare image patches via convolutional neural networks. - Sergey Zagoruyko; Nikos Komodakis (CVPR, 2015)

Wide Residual Networks. - Sergey Zagoruyko; Nikos Komodakis (BMVC, 2016)

A MultiPath Network for Object Detection. - Sergey Zagoruyko; Adam Lerer; Tsung-Yi Lin; Pedro Oliveira Pinheiro; Sam Gross; Soumith Chintala; Piotr Dollár (BMVC, 2016)

Depth Camera Based on Color-Coded Aperture. - Vladimir Paramonov; Ivan Panchenko; Victor Bucha; Andrey Drogolyub; Sergey Zagoruyko (CVPR Workshops, 2016)

Scaling the Scattering Transform: Deep Hybrid Networks. - Edouard Oyallon; Eugene Belilovsky; Sergey Zagoruyko (ICCV, 2017)

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. - Sergey Zagoruyko; Nikos Komodakis (ICLR (Poster), 2017)

DiracNets: Training Very Deep Neural Networks Without Skip-Connections. - Sergey Zagoruyko; Nikos Komodakis (CoRR, 2017)

Deep compare: A study on using convolutional neural networks to compare image patches. - Sergey Zagoruyko; Nikos Komodakis (Comput. Vis. Image Underst., 2017)

Compressing the Input for CNNs with the First-Order Scattering Transform. - Edouard Oyallon; Eugene Belilovsky; Sergey Zagoruyko; Michal Valko (ECCV (9), 2018)

Exploring Weight Symmetry in Deep Neural Network. - Shell Xu Hu; Sergey Zagoruyko; Nikos Komodakis (CoRR, 2018)

Weight parameterizations in deep neural networks. (Paramétrisation des poids des réseaux de neurones profonds). - Sergey Zagoruyko (2018)

Exploring weight symmetry in deep neural networks. - Shell Xu Hu; Sergey Zagoruyko; Nikos Komodakis (Comput. Vis. Image Underst., 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)

End-to-End Object Detection with Transformers. - Nicolas Carion; Francisco Massa; Gabriel Synnaeve; Nicolas Usunier; Alexander Kirillov; Sergey Zagoruyko (ECCV (1), 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; et al. (J. Int. Comput. Games Assoc., 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)

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization. - Eesha Kumar; Yiming Zhang; Stefano Pini; Simon Stent; Ana Ferreira 012; Sergey Zagoruyko; Christian S. Perone (CoRR, 2022)

Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. - Sergey Pletenev; Daniil Moskovskiy; Viktoria Chekalina; Mikhail Seleznyov; Sergey Zagoruyko; Alexander Panchenko (AIST, 2023)

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. - Ziqi Pang; Jie Li 031; Pavel Tokmakov; Dian Chen 005; Sergey Zagoruyko; Yu-Xiong Wang (CVPR, 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 (ICRA, 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 (PACLIC, 2023)

PairDETR : Joint Detection and Association of Human Bodies and Faces. - Ammar Ali; Georgii Gaikov; Denis Rybalchenko; Alexander Chigorin; Ivan Laptev; Sergey Zagoruyko (CVPR, 2024)

Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models. - Mohamad Al Mdfaa; Raghad Salameh; Sergey Zagoruyko; Gonzalo Ferrer 001 (CoRR, 2024)

Memory Efficient LM Compression Using Fisher Information from Low-Rank Representations. - Daniil Moskovskiy; Sergey Pletenev; Sergey Zagoruyko; Alexander Panchenko (NLDB (1), 2025)

ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations. - Dmitriy Shopkhoev; Ammar Ali; Magauiya Zhussip; Valentin Malykh; Stamatios Lefkimmiatis; Nikos Komodakis; Sergey Zagoruyko (CoRR, 2025)