🧑‍🔬 Serge Belongie

🏛️ Affiliations

🎓University of CopenhagenCopenhagen · Denmark2021–2026 · 59 papersEmploymentcurrent🎓University of California San DiegoSan Diego · United States2002–2021 · 102 papers🎓Cornell UniversityIthaca · United States2014–2022 · 97 papersEmployment🎓Cornell TechNew York · United States2014–2022 · 80 papers🎓University of California, BerkeleyBerkeley · United States1996–2002 · 17 papersEducation🏢GoogleMountain View · United States2019–2021 · 6 papers🎓California Institute of TechnologyPasadena · United States1994–2011 · 6 papersEducation🎓ETH ZurichZurich · Switzerland2006–2025 · 2 papers🎓University of WashingtonSeattle · United States2019 · 2 papers🎓Wuhan UniversityWuhan · China2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Microsoft COCO: Common Objects in Context (2014 · 5,131 citations)
   Earlier object recognition datasets mostly show objects in canonical, uncluttered poses, often as single objects against simple backgrounds.
2. Feature Pyramid Networks for Object Detection (2016 · 767 citations)
   Detecting objects whose size varies widely is a core difficulty in computer vision. The classic remedy is to run a feature extractor on every level of an image pyramid. This gives semantically strong features at all resolutions, but it multiplies inference time and needs too much memory for end-to-end training, so…

All works

19 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. Microsoft COCO: Common Objects in ContextarXiv:1405.0312Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.2014 · 5,131 citations
2. Class-Balanced Loss Based on Effective Number of Samples ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYin Cui et al.2019 · 2,984 citations
3. Detecting Oriented Text in Natural Images by Linking Segments ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBaoguang Shi, Xiang Bai, Serge Belongie2017 · 788 citations
4. Feature Pyramid Networks for Object DetectionarXiv:1612.03144Tsung-Yi Lin, Piotr Dollar, Ross Girshick, et al.2016 · 767 citations
5. PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetGuandao Yang et al.2019 · 644 citations
6. Residual networks behave like ensembles of relatively shallow networks ↗neural information processing systems · no summary yetAndreas Veit, Michael J. Wilber, Serge Belongie2016 · 613 citations
7. Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGrant Van Horn et al.2015 · 605 citations
8. Stacked Generative Adversarial 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 yetXun Huang et al.2017 · 533 citations
9. Learning from Noisy Large-Scale Datasets with Minimal Supervision ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAndreas Veit et al.2017 · 486 citations
10. Learning deep representations for ground-to-aerial geolocalization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTsung-Yi Lin et al.2015 · 406 citations
11. Higher order learning with graphs ↗International Conference on Machine Learning · no summary yetSameer Agarwal, Kristin M. Branson, Serge Belongie2006 · 381 citations
12. Kernel Pooling for 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 yetYin Cui et al.2017 · 351 citations
13. Cross-View Image Geolocalization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTsung-Yi Lin, Serge Belongie, James H. Hays2013 · 296 citations
14. Enhancing Adversarial Example Transferability With an Intermediate Level Attack ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetQian Huang et al.2019 · 241 citations
15. Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYin Cui et al.2016 · 238 citations
16. Crowd Research ↗ACM Symposium on User Interface Software and Technology (UIST) · no summary yetRajan Vaish et al.2017 · 48 citations
17. Crowd Research: Open and Scalable University Laboratories ↗Understanding innovation · no summary yetRajan Vaish et al.2018 · 6 citations
18. Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction ↗arXiv (Cornell University) · no summary yetBoyi Li et al.2022 · 4 citations
19. Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetBoyi Li et al.2024 · 1 citation

🤝 Co-authors here

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

• Piotr Dollár ×2
• Ross Girshick ×2
• Tsung-Yi Lin ×2
• Bharath Hariharan
• C. Lawrence Zitnick
• James H. Hays
• Kaiming He

Venues

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

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×9
• IEEE/CVF International Conference on Computer Vision (ICCV) ×2
• ACM Symposium on User Interface Software and Technology (UIST)
• Findings of the Association for Computational Linguistics: NAACL 2024
• International Conference on Machine Learning
• Understanding innovation
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 3,318 times (of the 149,439 papers whose bibliographies we read); 322 citing papers with a page here →.

Updated 2 November 2026

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