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How Nike is Approaching the Problem of 'Fit' Using Computer Vision & Deep Learning

Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Director of Computer Vision, Nike
Experienced software engineer, algorithm developer and team leader with 10+ years’ experience, specialising in Image Processing, Deep Learning and Computer Graphics.

I have recently joined Invertex. We are currently working on computer vision solutions for accurate anatomical measurements for e-commerce.

Since 2016, I have mostly been focused on computer vision related projects including CT segmentation via Deep Learning and fitting of 3D deformable models to depth scans. In parallel, I have co-founded a start-up, in the field of 3D model design.

Previously, I have been leading the development of a new Virtual Reality medical simulation product line from its initiation and onto its becoming a mature, selling product in a highly competitive market.

M.Sc in Computer Science from Tel-Aviv University focusing on Image and Video Processing, research associate at Disney Research Pittsburgh.
Webinar hosting presenter
Co-Founder, AI Accelerator Institute
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AI Accelerator Institute webinar platform hosts How Nike is Approaching the Problem of 'Fit' Using Computer Vision & Deep Learning
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Since our inception, we’ve achieved a great deal. But we don’t rest on our laurels. We’re constantly looking for ways in which we can evolve and further engage, educate, and inspire our community. Got an idea? Great. We’d love to hear from you.
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