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Behjat Siddiquie
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Behjat SiddiquieAmazon, Seattle, WAbehjats at gmail dot com CV |
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I am a Senior Applied Scientist at Amazon, working on Amazon Go, building technology for cashierless shopping. I led the research effort to launch Amazon Go's Just Walk Out technology in third party stores. Our team built a computer vision based system to generate, maintain and update, in real-time, a complete map of product placement in a physical store (also known as a store planogram), which was a pre-requisite to launching the Just Walk Out technology in third party stores. This system currently runs in over a hundred third party stores worldwide and is based on deep learning models for 3D object detection and large-scale product identification. Previously, I was a Senior Computer Scientist at SRI International, where I worked on real-time human behavior recognition and interaction modeling using multimodal sensors, and on using image analytics to enhance social media based security applications. I completed my PhD from the University of Maryland, College Park, under the guidance of Prof. Larry Davis. In my thesis, I addressed the problem of efficiently retrieving images from large databases based on complex and multi-modal queries. Before that, I completed my BTech. from the Indian Institute of Technology, Bombay. Selected Publications (Complete List)Google Scholar Citations
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