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.
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.