Quang-Hieu Pham

Singapore University of Technology and Design

Papers

Total Citations

434

H-Index

About

Quang-Hieu Pham is a leading researcher in computer vision and robotics, specializing in 3D scene understanding, semantic segmentation, and RGB-D data processing. His most impactful contribution is the creation of SceneNN, a richly annotated RGB-D dataset of indoor scene meshes (346 citations), which addressed the critical lack of fine-grained annotations in prior datasets and has become a foundational resource for the community. Pham also pioneered real-time progressive 3D semantic segmentation techniques for indoor environments, as demonstrated in his highly cited 2019 work (79 citations), enabling autonomous systems like drones and assistant robots to perform dense reconstruction and semantic labeling on-the-fly with high efficiency and robustness. His research bridges the gap between data availability and real-world deployment, significantly advancing the practicality of 3D scene parsing. With over 430 total citations across his key works, Pham’s contributions have empowered a generation of researchers to tackle complex challenges in spatial AI, making him a notable figure in the fields of 3D computer vision and embodied intelligence.