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Pierre Sermanet

Pierre Sermanet has 2 papers in our library, in 2013–2020; often with Rob Fergus, Xiang Zhang, Yann LeCun.

2 papers in our library · 2013–2020

OpenAlex · h-index 32 · 81 works · 55,152 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2,013 times in our library · 15 more in our library without a page yet · ⭐ Paper Stars ranking: #2087

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢GoogleMountain View · United States2014–2023 · 25 papers🎓New York UniversityNew York · United States2007–2014 · 15 papers🎓Courant Institute of Mathematical SciencesNew York · United States2007–2013 · 12 papers🎓West Virginia NetworkMorgantown · United States2007–2008 · 4 papers🏢Google DeepMindLondon · United Kingdom2023–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksEngineering · 1 workArtificial Intelligence · 1 workControl and Systems Engineering · 1 work

 Works by year

2020s

20201 paper

2010s

20131 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks (2013 · 1,423 citations)
    OverFeat addresses classification, localization and detection on ImageNet with one convolutional network that shares a common feature base, rather than separate pipelines.
  2. Language Conditioned Imitation Learning over Unstructured Data (2020 · 43 citations)
    Imitation-learned robots usually need each task identified by a task ID or a goal image, which everyday users cannot easily provide.

All works

17 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. Going deeper with convolutions ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChristian Szegedy et al.2015 · 46,691 citations
  2. OverFeat: Integrated Recognition, Localization and Detection using Convolutional NetworksarXiv:1312.6229Pierre Sermanet, David Eigen, Xiang Zhang, et al.2013 · 1,423 citations
  3. Pedestrian Detection with Unsupervised Multi-stage Feature Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPierre Sermanet et al.2013 · 759 citations
  4. PaLM-E: An Embodied Multimodal Language Model ↗arXiv:2303.03378 · no summary yetDanny Driess et al.2023 · 700 citations
  5. Learning Convolutional Feature Hierarchies for Visual Recognition ↗no summary yetKoray Kavukcuoglu et al.2010 · 487 citations
  6. With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetDebidatta Dwibedi et al.2021 · 400 citations
  7. Convolutional Neural Networks Applied to House Numbers Digit Classification ↗arXiv (Cornell University) · no summary yetPierre Sermanet, Soumith Chintala, Yann LeCun2012 · 337 citations
  8. Learning long‐range vision for autonomous off‐road driving ↗Journal of Field Robotics · no summary yetRaia T. Hadsell et al.2009 · 320 citations
  9. Temporal Cycle-Consistency Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDebidatta Dwibedi et al.2019 · 259 citations
  10. Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗arXiv:2310.08864 · no summary yetEmbodiment Collaboration et al.2023 · 204 citations
  11. Counting Out Time: Class Agnostic Video Repetition Counting in the Wild ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDebidatta Dwibedi et al.2020 · 137 citations
  12. Language Conditioned Imitation Learning over Unstructured DataarXiv:2005.07648Corey Lynch, Pierre Sermanet2020 · 43 citations
  13. A multi-range vision strategy for autonomous offroad navigation ↗Robotics and Applications · no summary yetRaia T. Hadsell et al.2007 · 13 citations
  14. Traffic signs and pedestrians vision with multi-scale convolutional networks ↗no summary yetPierre Sermanet, Koray Kavukcuoglu, Yann Lecun2011 · 1 citation
  15. A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos ↗arXiv (Cornell University) · no summary yetDebidatta Dwibedi et al.2024
  16. GOOGLENET: GOINGDEEPERWITH CONVOLUTIONS ↗no summary yetChristian Szegedy et al.2015
  17. Autonomous Learning for Long Range Vision in Mobile Robots ↗no summary yetRaia T. Hadsell et al.2013

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 2,013 times (of the 149,439 papers whose bibliographies we read); 277 citing papers with a page here →.

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