🧑‍🔬 Sergey Zagoruyko

🏛️ Affiliations

🎓École nationale des ponts et chausséesChamps-sur-Marne · France2015–2018 · 11 papers🔬Laboratoire d'Informatique Gaspard-MongeChamps-sur-Marne · France2015–2018 · 7 papers🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt · France2018–2020 · 5 papers🎓Université Paris-Est Marne-la-ValléeParis · France2015–2018 · 4 papers🔬Centre National de la Recherche ScientifiqueParis · France2015–2020 · 3 papers🎓Skolkovo Institute of Science and TechnologySkolkovo · Russia2024–2025 · 2 papers🔬Département d'InformatiqueParis · France2019–2020 · 2 papers🏢MetaMenlo Park · United States2020 · 2 papers🎓Université Paris Sciences et LettresParis · France2019–2020 · 2 papers🔬École Normale Supérieure - PSLParis · France2019–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. End-to-End Object Detection with Transformers (2020 · 16,967 citations)
   Most object detectors do not output a list of objects directly. They score huge pools of proposals, anchors or grid cells, then clean up the duplicates with hand-tuned steps such as non-maximum suppression. DETR (DEtection TRansformer) treats detection as predicting an unordered set.
2. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer (2016 · 1,542 citations)
   Knowledge transfer between CNNs usually means matching a teacher's outputs (knowledge distillation) or its intermediate features (FitNets).

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. End-to-End Object Detection with TransformersLecture notes in computer scienceNicolas Carion, Francisco Massa, Gabriel Synnaeve, et al.2020 · 16,967 citations
2. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention TransferarXiv:1612.03928Sergey Zagoruyko, Nikos Komodakis2016 · 1,542 citations
3. Learning to compare image patches via convolutional neural networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSergey Zagoruyko, Nikos Komodakis A2015 · 1,437 citations
4. A MultiPath Network for Object Detection ↗British Machine Vision Conference (BMVC) · no summary yetSergey Zagoruyko et al.2016 · 240 citations

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Alexander Kirillov
• Francisco Massa
• Gabriel Synnaeve
• Nicolas Usunier

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Lecture notes in computer science: Lecture notes in computer science 2020
• British Machine Vision Conference (BMVC)
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

🔗 Cited by

Papers of our library cite their works 691 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated 2 November 2026

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