Tianxiang Ye
Papers
1
Total Citations
16
H-Index
1
About
Tianxiang Ye is a researcher whose work bridges computer vision and thermal imaging, with a focus on advancing 3D scene reconstruction. His key research areas include neural radiance fields (NeRFs), infrared sensing, and multi-modal perception. Ye’s most notable contribution is the development of Thermal-NeRF, a pioneering framework that extends NeRF technology to infrared cameras, enabling highly detailed 3D geometry and environmental appearance reconstruction from thermal data. This work, published in 2024, has already garnered 16 citations, reflecting its timely impact on the field. By addressing the limitations of traditional explicit representations, Ye’s research opens new possibilities for applications in autonomous navigation, surveillance, and industrial inspection, where thermal imaging is critical. His innovative approach to integrating neural rendering with infrared sensing marks a significant step forward in robust, all-weather 3D reconstruction. Ye’s contributions are particularly valuable for researchers exploring the intersection of machine learning and sensor fusion, positioning him as a rising figure in the development of practical, real-world NeRF applications.
Research Focus
Key Achievements
Top Papers
- 1Thermal-NeRF: Neural Radiance Fields from an Infrared Camera16 citations · 2024