Van Nguyen Nguyen

Centre National de la Recherche Scientifique

Papers

Total Citations

H-Index

About

Van Nguyen Nguyen is a computer vision researcher whose work sits at the intersection of object pose estimation, robotics, and Augmented Reality. He is best known for developing **PIZZA** (a Powerful Image-only Zero-Shot Zero-CAD approach to 6 DoF tracking), a method that tackles one of the field's most challenging problems: estimating the six-degree-of-freedom motion of objects in RGB video sequences without requiring prior training images or 3D CAD models of the target object. This zero-shot, zero-CAD formulation represents a significant departure from conventional pose tracking pipelines, which typically depend heavily on object-specific geometric data — making PIZZA particularly valuable for real-world deployment scenarios where such resources are unavailable. His contributions address a critical bottleneck in robotics and AR systems, where the ability to generalize to unseen objects on the fly is essential. The PIZZA framework has accumulated nearly 30 citations across its publications, reflecting growing interest from both academic and applied communities. Nguyen's research signals a broader shift toward more flexible, data-efficient perception systems, making his work highly relevant for students and practitioners exploring generalizable 3D understanding and embodied AI applications.