About Me
My name is Jiuhong Xiao. I am currently pursuing my Ph.D. at the Agile Robotics and Perception Lab (ARPL), Tandon School of Engineering, New York University, under the guidance of Prof. Giuseppe Loianno. My research focuses on addressing the challenges of multi-modal image alignment for the applications on robotic perception and localization systems.
I hold a master’s degree in Computer Science from New York University. In the summer of 2020, I worked as a research assistant under Prof. Alfredo Canziani and Prof. Yann LeCun, focusing on autonomous driving perception and control projects. After graduating with my master’s degree, I joined Amazon as an applied scientist, where I contributed to the development of the Just Walk Out (JWO) technology.
Prior to that, I earned my bachelor’s degree in Engineering from the Department of Automation at the University of Science and Technology Beijing. In my final undergraduate year, I served as a research assistant at the Intelligent Biomimetic Design Laboratory (IBDLab), Peking University, working on my undergraduate thesis.
Research
UAV Satellite-Thermal Geo-localization
Multi-modal image alignment is critical for UAV thermal geo-localization, especially in nighttime scenarios where GPS may be unavailable. Our research focuses on aligning onboard thermal imagery with reference satellite maps, leveraging techniques such as image matching, homography-based alignment, and uncertainty estimation. These approaches enable real-time, robust localization across a wide range of challenging environments even trained with limited multi-modal paired data.
Related Research:
- STGL (Image Matching): Project
- STHN (Homography-Based Alignment): Project
- UASTHN (Uncertainty-Aware Alignment): Project
Latest News
- Feb, 2025. Gave a lightning talk on NYC Vision Day 2025.
- Jan, 2025. Paper accepted in ICRA 2025.
- Nov, 2024. Paper accepted in WACV 2025.
- Aug, 2024. Paper accepted in RA-L.
- Jan, 2024. Paper accepted in ICRA 2024.
- Oct, 2023. Paper featured on IEEE Spectrum.
- Jun, 2023. Paper accepted in IROS 2023.
- Sep, 2022. Joined the Agile Robotics and Perception Lab.