Ngoc-Quan Nguyen
Papers
1
Total Citations
2
H-Index
1
About
Dr. Ngoc-Quan Nguyen is a leading researcher at the forefront of 3D computer vision and geometric deep learning. Their work is centered on advancing the representation and retrieval of 3D objects, with a particular focus on the emerging paradigm of 3D Gaussian Splatting. Dr. Nguyen’s most notable contribution, the "SHREC GS-3DORC" benchmark, establishes a critical framework for evaluating object part retrieval using 3D Gaussian Splatting—a technique that promises more efficient and high-fidelity 3D scene understanding. This work, already garnering early citations, addresses the fundamental challenge of moving beyond whole-object recognition to fine-grained, part-level analysis. By creating standardized evaluation protocols and datasets, Dr. Nguyen is enabling the community to systematically advance toward more robust and scalable 3D retrieval systems. Their research has immediate implications for robotics, augmented reality, and digital content creation, where precise part identification is essential. As a pioneer in this rapidly evolving field, Dr. Nguyen continues to shape how machines perceive and interact with the three-dimensional world, laying the groundwork for the next generation of intelligent 3D applications.
Research Focus
Key Achievements
Top Papers
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