AI-Powered Identity: Evaluating Face Recognition Capabilities

Tuesday, May 21, 2:10 PM - 2:40 PM
Summit Track: 
Technical Insights II
Mission City M1-M3

Following the deep learning renaissance, the face recognition community has achieved remarkable results when comparing images that are both frontal and non-occluded. However, significant challenges remain in the presence of variations in pose, expression, illumination and occlusions. This presentation will highlight the state-of-the-art in face recognition and provide insights on how to properly evaluate and select face recognition modules for embedded systems.


Ioannis Kakadiaris

Distinguished University Professor of Computer Science, University of Houston

Ioannis A. Kakadiaris is a Distinguished University Professor of Computer Science at the University of Houston. Ioannis is focused on bold, disruptive, and impactful research and development in computer vision and deep learning. He and his team have developed value-driven solutions resulting from extensive customer discovery. Ioannis is passionate for developing creative ideas and building innovative technologies that change lives. He is the founder of the Computational Biomedicine Lab ( and founded and served as the Director of the Borders, Trade, and Immigration Institute, a Department of Homeland Security Center of Excellence led by the University of Houston. Ioannis is also the co-founder of the Pumps and Pipes initiative which examines the cross-domain innovation in the domains of medicine, oil industry and aerospace. Ioannis has been recognized for his work with several distinguished honors.

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