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Last edited by BoyTheKingCanDance (talk | contribs) 3 months ago. (Update)

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This article may rely excessively on sources too closely associated with the subject, potentially preventing the article from being verifiable and neutral. Please help improve it by replacing them with more appropriate citations to reliable, independent, third-party sources. (April 2024) (Learn how and when to remove this message)

The topic of this draft may not meet Wikipedia's notability guideline for academics. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. Notability should be established before publishing this draft or submitting it via the articles for creation process.Find sources: "Antonio Torralba" – news · newspapers · books · scholar · JSTOR (April 2024) (Learn how and when to remove this message)

Antonio Torralba is a Spanish-American computer science professor at the Massachusetts Institute of Technology (MIT) and a Principal Investigator at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL).

His research mainly focuses on the areas of computer vision, machine learning and human visual perception. He was previously the inaugural director of MIT’s Quest for Intelligence and the director of the MIT-IBM Watson AI Lab.^[1]

In 2021 he was elected a fellow to the Association for the Advancement of Artificial Intelligence for “significant contributions to scene recognition, large-scale visual datasets, and transfer learning”.^[2]

Torralba’s research has been cited more than 100,000 times to date^[3]. Among his projects is the Places dataset^[4], a repository of more than 10 million photographs of different scenes.

In 2024 he co-authored the textbook Foundations of Computer Vision with CSAIL colleagues Phillip Isola and William T. Freeman^[5].

References

[edit]

^ "Antonio Torralba". mit.edu.
^ "Elected AAAI Fellows". aaai.org.
^ "Antonio Torralba". scholar.google.com.
^ "Places: A 10 million Image Database for Scene Recognition". csail.mit.edu.
^ "Foundations of Computer Vision". mitpress.mit.edu.