Shicheng Chen
About Shicheng Chen
Shicheng Chen is an Associate Researcher at NetVirta, Inc., specializing in computer science and human pose estimation. He holds a Master's degree from the National University of Singapore and has a proven track record of enhancing model performance and user experience in various applications.
Work at NetVirta
Shicheng Chen currently holds the position of Associate Researcher at NetVirta, Inc., a role he has occupied since 2022. In this capacity, he focuses on advancing research and development in the field of human pose estimation and 3D human body reconstruction. His work includes integrating high-performance models into applications, which enhances user experience and reliability.
Education and Expertise
Shicheng Chen earned his Master's degree in Computer Science from the National University of Singapore, where he studied from 2019 to 2021. Prior to that, he completed his Bachelor's degree in Computer Software Engineering at Tianjin University from 2013 to 2017. His educational background provides a strong foundation in software engineering and computer science, contributing to his expertise in machine learning and model optimization.
Background
Before joining NetVirta, Shicheng Chen worked as a Research Assistant at the National University of Singapore from 2018 to 2021. He also served as a Project Officer at Nanyang Technological University for 11 months in 2017 to 2018. His roles in these institutions involved significant contributions to research projects focused on human pose estimation and 3D modeling.
Achievements
Shicheng Chen has engineered human pose estimation models that significantly outperformed existing benchmarks, including a 70% improvement over Google's MoveNet in mean end-point error metrics. He has also achieved notable reductions in processing times for 3D human body reconstruction models and developed a semantic segmentation model with a low failure rate, enhancing overall model performance.
Projects and Contributions
Shicheng Chen has contributed to various projects that integrate advanced machine learning models into practical applications. Notably, he deployed semantic segmentation models for Victoria's Secret's bra-fitting applications, which improved accuracy and user experience. He also architected an end-to-end MLOps pipeline utilizing AWS services, streamlining the deployment of machine learning models.