Connor Wong
About Connor Wong
Connor Wong serves as the Lead Research Scientist at NetVirta, Inc. in Singapore, where he has worked since 2019, focusing on human pose tracking and advanced 3D reconstruction techniques.
Work at NetVirta
Connor Wong has been employed at NetVirta, Inc. since 2019, where he serves as the Lead Research Scientist. His role involves overseeing research initiatives and contributing to the development of innovative technologies in the field. Prior to his current position, he worked as a Research Scientist at the same company for 11 months in 2018. Both positions have been based in Singapore, highlighting his commitment to advancing the company's research capabilities in the region.
Education and Expertise
Connor Wong holds a Doctor of Philosophy (PhD) in Materials Science from the National University of Singapore, which he completed from 2014 to 2017. He also earned a Bachelor of Engineering (BE) in Materials Science from the same institution between 2008 and 2012. Earlier, he achieved Cambridge A Levels in Mathematics, Further Mathematics, Chemistry, and Physics at Tunku Abdul Rahman University of Management and Technology from 2006 to 2007. His educational background provides a strong foundation for his research in advanced technologies.
Research Contributions
In his research career, Connor Wong has developed advanced 3D reconstruction techniques that utilize stereo reconstruction and statistical model-based deformations. His work focuses on human pose tracking, employing deep learning methodologies to enhance tracking accuracy. Additionally, he specializes in achieving pixel-level accuracy in semantic segmentation by integrating deep learning with classical computer vision techniques. These contributions reflect his expertise in the intersection of materials science and computer vision.
Professional Experience
Connor Wong's professional experience spans several years in research roles, primarily at NetVirta, Inc. His progression from Research Scientist to Lead Research Scientist demonstrates his growth and expertise in the field. His focus on deep learning and computer vision techniques positions him as a key contributor to the company's research efforts, particularly in developing technologies that require precise human pose tracking and advanced image processing.