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Neil Alldrin
Researcher at Google
Publications - 24
Citations - 2113
Neil Alldrin is an academic researcher from Google. The author has contributed to research in topics: Image processing & Feature detection (computer vision). The author has an hindex of 12, co-authored 22 publications receiving 1917 citations. Previous affiliations of Neil Alldrin include Vision-Sciences, Inc. & University of California, Berkeley.
Papers
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Agile Modeling: From Concept to Classifier in Minutes
Otilia Stretcu,Edward Vendrow,Kenji Hata,Krishnamurthy Viswanathan,Vittorio Ferrari,Sasan Tavakkol,Wenlei Zhou,Aditya Avinash,Enming Luo,Neil Alldrin,MohammadHossein Bateni,Gabriel Berger,Andrew Bunner,Chun-Ta Lu,Javier A Rey,Giulia DeSalvo,Ranjay Krishna,Ariel Fuxman +17 more
TL;DR: In this paper , the authors introduce the problem of Agile Modeling, the process of turning any subjective visual concept into a computer vision model through a real-time user-in-the-loop interactions.
Journal ArticleDOI
Agile Modeling: Image Classification with Domain Experts in the Loop
Otilia Stretcu,Edward Vendrow,Kenji Hata,Krishnamurthy Viswanathan,Vittorio Ferrari,Sasan Tavakkol,Wenlei Zhou,Aditya Avinash,Enming Luo,Neil Alldrin,MohammadHossein Bateni,Gabriel Berger,Andrew Bunner,Chun-Ta Lu,Javier A Rey,Ariel Fuxman +15 more
TL;DR: In this article , the authors argue that domain experts should be at the center of the modeling process, and introduce the "Agile Modeling" problem: the process of turning any visual concept from an idea into a well-trained ML classifier through a human-in-the-loop interaction driven by the domain expert in a way that minimizes domain expert time.