Duc Thanh Nguyen

Papers

Total Citations

355

H-Index

About

Dr. Duc Thanh Nguyen is a leading researcher in computer vision and robotics, with a primary focus on 3D scene understanding, semantic segmentation, and RGB-D data analysis. His most impactful contribution is the creation of **SceneNN**, a richly annotated RGB-D dataset that has garnered **346 citations** since 2016. This work addressed a critical gap in the field by providing fine-grained, comprehensive annotations for indoor scenes, enabling more robust training and evaluation of vision models for autonomous systems. Dr. Nguyen also advanced real-time applications with his work on **progressive 3D semantic segmentation** for indoor environments, proposing efficient techniques for on-the-fly dense reconstruction and labeling—essential for drones and assistant robots operating in dynamic settings. His research bridges the gap between high-quality data curation and practical, low-latency deployment, making him a key figure in enabling intelligent machines to perceive and navigate complex indoor spaces. With a career marked by both foundational datasets and cutting-edge algorithms, Dr. Nguyen continues to shape the future of 3D computer vision.