Tien Phuoc Nguyen
About Tien Phuoc Nguyen
Tien Phuoc Nguyen is a Computer Vision Research Engineer at 42dot in South Korea, where he has worked since 2020. He holds a PhD in Computer Science from Sungkyunkwan University and specializes in self-supervised depth estimation using volumetric feature fusion.
Work at 42dot
Tien Phuoc Nguyen has been employed at 42dot as a Computer Vision Research Engineer since 2020. In this role, he focuses on advancing technologies related to computer vision, particularly in the area of depth estimation. His work contributes to the development of innovative solutions in the field, leveraging his expertise in self-supervised learning and volumetric feature fusion.
Education and Expertise
Tien Phuoc Nguyen holds a Doctor of Philosophy (PhD) in Computer Science from Sungkyunkwan University, where he studied from 2015 to 2020. Prior to this, he earned a Bachelor of Computer Science Engineering from Vietnam National University, HCMC, from 2010 to 2015. His educational background provides a strong foundation for his research in computer vision and machine learning.
Research Focus
His research primarily concentrates on self-supervised depth estimation, specifically utilizing volumetric feature fusion techniques for surround-view images. This area of study aims to enhance depth perception in computer vision applications, which is critical for various technologies, including autonomous vehicles and advanced imaging systems.
Publications and Collaborations
Tien Phuoc Nguyen co-authored a paper with colleagues Jung-Hee Kim, Junwha Hur, and Seong-Gyun Jeong. The paper, titled 'Self-supervised surround-view depth estimation with volumetric feature fusion,' was published at NeurIPS 2022. This publication reflects his contributions to the field and his collaboration with other researchers in advancing computer vision methodologies.
Academic Background
Before pursuing his PhD, Tien Phuoc Nguyen completed his high school education at Le Quy Don High School for the Gifted in Vung Tau from 2007 to 2010. His academic journey has been marked by a consistent focus on computer science, which has shaped his career in research and engineering.