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2017 GTC Washington DC

DC7127 - Cross-Domain Face Recognition Solution Based On GPU-Powered Deep Learning and Inference

Session Speakers
  • Alexander Khanin - CEO, VisionLabs

    Alexander Khanin is founder and CEO of VisionLabs company, which he founded in 2012. Alexander studied at ICVSS 2014 Computer Vision, ENS/INRIA 2013 Visual Recognition and Machine Learning, Imperial College Robotics 2012 and Microsoft Computer Vision 2011 summer schools. From 2011 to 2014, Alexander was a Ph.D. student for computer vision and robotics at Bauman Moscow State Technical University. From 2009 to 2012, he led a department in the Scientific Research Institute. In 2011, he graduated with honors from the Bauman Moscow State Technical University as a robotics engineer with experience in the areas of mechatronics, robotics, and control automation theory. Alexander is an OMG-Certified UML Professional Advanced.

Session Description

Government agencies and commercial companies demonstrate high demand for versatile, stable, and highly efficient person identification solutions supporting cross-domain face recognition and person database clusterization in both controlled and uncontrolled scenarios. Now it's possible to resolve cross-domain face recognition challenges using deep learning and even tasks of quadratic complexity using GPU-powered inference of CNN-based face recognition algorithms. We'll focus on (1) the concept of the GPU-powered platform for cross-domain face recognition; (2) its essential performance and critical technical characteristics; (3) an approach to reaching the demanded efficiency and quality by using the NVIDIA GPU; and (4) providing examples of completed and ongoing projects that demonstrate achieved high-performance and quality parameters in real-life conditions.


Additional Information
All
AI for Smart Cities, Deep Learning and AI, AI for Security, Leadership in AI
Software, IT Services, Financial Services, Defense, Other
Talk
25 minutes
Session Schedule