Latifur Khan

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About

Latifur Khan is a leading researcher at the intersection of computer vision, 3D deep learning, and secure information systems. His primary contributions lie in advancing point cloud generation from single images, a critical capability for autonomous driving, robotics, and augmented reality. Khan has pioneered novel deep learning frameworks that address the fundamental challenge of reconstructing 3D point clouds from limited visual data, notably introducing the "Unified 3D Prototype" approach for single-view generation and developing few-shot learning techniques that dramatically reduce the data requirements for 3D reconstruction. His work on "Single View Point Cloud Generation via Unified 3D Prototype" (2021, 9 citations) and "Generating Point Cloud from Single Image in The Few Shot Scenario" (2021, 6 citations) has established foundational methods in this rapidly evolving field. Beyond 3D vision, Khan has contributed to efficient audio scene classification for smart sensing platforms and explored assured information sharing in secure online social networks for emergency response applications. His research demonstrates a unique breadth, spanning from fundamental 3D representation learning to practical security challenges, making him a versatile and impactful voice in modern computer science.