David A. Shamma
David A. Shamma has 2 papers in our library, in 2015–2016; often with Li-Jia Li, Justin M. Johnson, Michael S. Bernstein.
OpenAlex · ORCID · Wikidata · h-index 28 · 190 works · 11,618 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1,006 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #465
Affiliations
🔬Centrum Wiskunde & InformaticaAmsterdam ·
Netherlands2016–2026 · 20 papers🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi ·
United Arab Emirates2026 · 2 papers🏢YahooSunnyvale ·
United States2006–2021 · 85 papersEmployment 2006–2016 · Director of Research, Labs🔬Toyota Research InstitutePalo Alto ·
United States2021–2025 · 23 papersEmployment 2021–2025 · Staff Research Scientist, Human Centered AI🎓Northwestern UniversityEvanston ·
United States2001–2006 · 17 papersEducation 2001–2005 · Ph.D., Computer Science🔬FX Palo Alto LaboratoryPalo Alto ·
United States2017–2020 · 14 papers🎓Northeastern UniversityBoston ·
United States2026Employment since 2026 · Director of Computing Programs & Professor of Practice, Khoury College of Computer Sciences
🏛️FX Palo Alto LabratoryPalo Alto ·
United States2017–2020Employment 2017–2020 · Senior Research Scientist
🏛️Centrum Wiskunde en InformaticaAmsterdam ·
Netherlands2016–2017Employment 2016–2017 · Senior Scientist, Distributed and Interactive Systems Group
Fields, topics and concepts
📚 Shelves 2The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 works
💡 Concepts 1Key ideas and methods explained on our concept pages.Linguistic annotation · 1 work
Works by year
2010s
Papers
- 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. - YFCC100M: The New Data in Multimedia Research (2015 · 1,671 citations)
Multimedia research has mostly relied on small, single-purpose collections. These often contain only one media type, are seldom shared, and are sometimes gathered without regard to licensing. The result is poor reproducibility and little reuse across projects. The authors address this by releasing YFCC100M (Yahoo…
All works
- 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
- YFCC100M: The New Data in Multimedia ResearchCommunications of the ACMBart Thomee, David A. Shamma, Gerald Friedland, et al.2015 · 1,671 citations
- 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
Co-authors here
Venues
- Communications of the ACM: Communications of the ACM 2015
- International Journal of Computer Vision: International Journal of Computer Vision 2016
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Cited by
Updated
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