Charles Cheung

Charles Cheung is a deep learning solution architect at NVIDIA. Before joining NVIDIA, He was a technical manager in a R&D center to lead the machine vision team to develop different solution such as defect inspection, 3D reconstruction and 3D recognition for different industries. He received his PhD in Hong Kong Baptist University in applied mathematics focusing on numerical analysis for partial differential equation and meshless collocation method.
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Posts by Charles Cheung


Automatic Defect Inspection Using the NVIDIA End-to-End Deep Learning Platform

Quality requirements for manufacturers are increasing to meet customer demands. Manual inspection is usually required to guarantee product quality, but this... 9 MIN READ