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  • Researched deep learning networks and leading face recognition techniques.

    • ​SenseTime DeepID​

    • SenseTime XdNet

    • GoogLeNet

  • Designed novel loss layers and framework, which led to 2% increase in accuracy 

    • ​​triplet loss ​

    • mimic loss

    • combined training

Deep Learning Networks

for Face Recognition

Internship @ SenseTime Group Limited, Beijing

May 2016 - Aug 2016

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