There are unique challenges running vision-based networks on mobile environments that go beyond object detection. Bruno Fernandez-Ruiz details a unified network that jointly performs various mission-critical tasks in real time on a mobile environment, within the context of driving. Along the way, he outlines the challenges that emerge when training a single mobile network for multiple tasks, such as object detection, object attributes recognition, classification, and tracking. Bruno then offers an overview of a pipeline for continuous training of mobile networks through hard negative mining and shares concrete examples leveraging a multitask network on a mobile device for advanced driver assistance applications.
Bruno Fernandez-Ruiz is cofounder and CTO at Nexar, where he and his team are using large-scale machine learning and machine vision to capture and analyze millions of sensor and camera readings in order to make our roads safer. Previously, Bruno was a senior fellow at Yahoo, where he oversaw the development and delivery of Yahoo’s personalization, ad targeting, and native advertising teams; his prior roles at Yahoo included chief architect for Yahoo’s cloud and platform and chief architect for international. Prior to joining Yahoo, Bruno founded OneSoup (acquired by Synchronica and now part of the Myriad Group) and YamiGo; was an enterprise architect for Fidelity Investments; served as manager in Accenture’s Center for Strategic Research Group, where he cofounded Meridea Financial Services and Accenture’s claim software solutions group. Bruno holds an MSc in operations research and transportation science from MIT, with a focus on intelligent transportation systems.
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