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Justin M. Johnson

Justin M. Johnson has 3 papers in our library, in 2015–2016, most of them on Reasoning; often with Li Fei-Fei, Andrej Karpathy, C. Lawrence Zitnick.

3 papers in our library · 2015–2016

OpenAlex · ORCID · Wikidata · h-index 27 · 63 works · 20,791 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1,766 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #446

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

🎓University of MichiganAnn Arbor · United States2020–2025 · 33 papers🎓Stanford UniversityStanford · United States2015–2018 · 14 papers🏢MetaMenlo Park · United States2016–2023 · 13 papers🏢LG AI ResearchSeoul · South Korea2025 · 3 papers🏢MetaLondon · United Kingdom2019–2020 · 2 papers

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

 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 · 3 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

💡 Concepts 1Key ideas and methods explained on our concept pages.Linguistic annotation · 1 work

 Works by year

2010s

20162 papers20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations (2016 · 5,876 citations)
    Image models had become good at perception, such as labelling and detecting objects, but remained weak at cognitive tasks like describing scenes or answering questions about them.
  2. Visualizing and Understanding Recurrent Networks (2015 · 954 citations)
    LSTMs performed very well on sequence tasks, but it was unclear why. Earlier studies mostly compared final test perplexity across ablated variants. The authors use character-level language modeling as a transparent testbed. They train vanilla RNN, LSTM and GRU models of several depths and sizes on two corpora at…
  3. 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; 3 with a page here, the others link their original until we summarise them.

  1. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image AnnotationsInternational Journal of Computer VisionRanjay Krishna, Yuke Zhu, Oliver Groth, et al.2016 · 5,876 citations
  2. DenseCap: Fully Convolutional Localization Networks for Dense Captioning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJustin M. Johnson, Andrej Karpathy, Li Fei-Fei2016 · 1,219 citations
  3. Image retrieval using scene graphs ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJustin M. Johnson et al.2015 · 1,154 citations
  4. Visualizing and Understanding Recurrent NetworksarXiv:1506.02078Andrej Karpathy, Justin Johnson, Li Fei-Fei2015 · 954 citations
  5. Inferring and Executing Programs for Visual Reasoning ↗arXiv:1705.03633 · no summary yetJustin Johnson et al.2017 · 557 citations
  6. HexPlane: A Fast Representation for Dynamic Scenes ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAng Cao, Justin M. Johnson2023 · 472 citations
  7. 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
  8. Mesh R-CNN ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetGeorgia Gkioxari, Justin M. Johnson, Jitendra Malik2019 · 449 citations
  9. A Hierarchical Approach for Generating Descriptive Image Paragraphs ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJonathan Krause et al.2017 · 423 citations
  10. On Network Design Spaces for Visual Recognition ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetIlija Radosavovic et al.2019 · 128 citations
  11. Text-To-4D Dynamic Scene Generation ↗arXiv (Cornell University) · no summary yetUriel Singer et al.2023 · 31 citations
  12. PHYRE: A New Benchmark for Physical Reasoning ↗arXiv:1908.05656 · no summary yetAnton Bakhtin et al.2019 · 27 citations

 Co-authors here

8 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 1,766 times (of the 149,439 papers whose bibliographies we read); 176 citing papers with a page here →.

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