Xiao(leo) Liu
About Xiao(leo) Liu
Xiao (Leo) Liu is a Research Engineer specializing in computer vision at RadiusAI, Inc. in Tempe, Arizona, where he has worked since 2020, following a diverse background in academia and industry.
Work at RadiusAI
Currently, Xiao Liu serves as a Research Engineer specializing in Computer Vision at RadiusAI, Inc. since 2020. His role involves developing advanced algorithms and systems that enhance indoor scene understanding. Liu has contributed to projects that focus on 3D reconstruction, specifically designed for applications in healthcare and retail environments. His work emphasizes the integration of differentiable Bayes filters and representation learning to improve human-robot interaction.
Education and Expertise
Xiao Liu is pursuing a Doctor of Philosophy (PhD) in Computer Science at Arizona State University, expected to complete in 2024. He holds a Master's degree in Mechanical Engineering from Case Western Reserve University, which he obtained in 2019. Liu also earned a Bachelor of Engineering (B.Eng.) in Mechanical Engineering from Southwest Jiaotong University in 2015. His academic background supports his expertise in computer vision, depth perception optimization, and human-robot interaction.
Background
Prior to his current position, Xiao Liu held various roles in academia and industry. He worked as a Teaching Assistant and Research Assistant at Case Western Reserve University from 2017 to 2019. Liu also gained experience as an Operation Coordinator at Uber in 2015 and as a Design Engineer at Hitachi for six months in the same year. His diverse background spans multiple locations, including the United States and China.
Research Contributions
Xiao Liu has developed customized datasets for indoor scene understanding by merging existing datasets such as NYU-v2 and MegaDepth with self-crafted datasets. His research focuses on the generalization and optimization of depth perception in computer vision, contributing to advancements in the field. Liu's work on 3D reconstruction projects aims to enhance applications in healthcare and retail, showcasing his commitment to practical solutions in technology.