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Laurens van der Maaten

Laurens van der Maaten has 2 papers in our library, in 2016–2017, most of them on Reasoning; often with Bharath Hariharan, C. Lawrence Zitnick, Justin M. Johnson.

2 papers in our library · 2016–2017

OpenAlex · h-index 44 · 116 works · 98,015 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,404 times in our library · 10 more in our library without a page yet · ⭐ Paper Stars ranking: #2681

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

🎓Delft University of TechnologyDelft · Netherlands2010–2018 · 49 papers🏢MetaMenlo Park · United States2015–2022 · 33 papers🏢MetaLondon · United Kingdom2019–2021 · 12 papers🎓University of California San DiegoSan Diego · United States2010–2012 · 7 papers🎓Tilburg UniversityTilburg · Netherlands2009–2014 · 4 papers🎓Maastricht UniversityMaastricht · Netherlands2006–2007 · 4 papers🎓Carnegie Mellon UniversityPittsburgh · United States2018–2022 · 3 papers🏢MetaTel Aviv · Israel2017–2019 · 2 papers🤝Leiden University Medical CenterLeiden · Netherlands2014–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2010s

20171 paper20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Inferring and Executing Programs for Visual Reasoning (2017 · 557 citations)
    Visual question answering systems usually learn a direct mapping from image and question to answer. Such black-box models tend to exploit dataset biases instead of actually reasoning. The authors argue that compositional reasoning should be built into the model's structure, and they split the task into two learned…
  2. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning (2016 · 464 citations)
    Visual question answering (VQA) benchmarks are meant to measure whether systems can reason about images. In practice, models can score well on them by exploiting statistical regularities in the questions, and a single wrong answer can come from several different failures. CLEVR is a synthetic diagnostic benchmark…

All works

12 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. Densely Connected Convolutional 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 yetGao Ming Huang et al.2017 · 46,310 citations
  2. Exploring the Limits of Weakly Supervised Pretraining ↗Lecture notes in computer science · no summary yetDhruv Kumar Mahajan et al.2018 · 1,295 citations
  3. Feature Denoising for Improving Adversarial Robustness ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetCihang Xie et al.2019 · 915 citations
  4. Inferring and Executing Programs for Visual ReasoningIEEE International Conference on Computer Vision (ICCV)Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2017 · 557 citations
  5. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningarXiv:1612.06890Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 464 citations
  6. Omnivore: A Single Model for Many Visual Modalities ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRohit Girdhar et al.2022 · 204 citations
  7. Structure Preserving Object Tracking ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLu Zhang, Laurens van der Maaten2013 · 189 citations
  8. Revisiting Weakly Supervised Pre-Training of Visual Perception Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMannat Singh et al.2022 · 105 citations
  9. Learning by Asking Questions ↗arXiv:1712.01238 · no summary yetIshan Misra et al.2017 · 75 citations
  10. PHYRE: A New Benchmark for Physical Reasoning ↗arXiv:1908.05656 · no summary yetAnton Bakhtin et al.2019 · 27 citations
  11. On Herding and the Perceptron Cycling Theorem ↗no summary yetAndrew E. Gelfand et al.2010 · 26 citations
  12. Hidden-Unit Conditional Random Fields ↗no summary yetLaurens van der Maaten, Max Welling, Lawrence K. Saul2012 · 6 citations

 Co-authors here

6 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 1,404 times (of the 149,439 papers whose bibliographies we read); 135 citing papers with a page here →.

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