Papers
1
Total Citations
2
H-Index
1
About
Xiaoran Jiang is a leading researcher in computational imaging and 3D computer vision, with a focus on light field technology. Her major contributions center on advancing dense video light field methods for high-fidelity 3D scene modeling, enabling breakthroughs in augmented reality, robotics, and microscopy. Her pioneering work, "3D Scene Modeling from Dense Video Light Fields" (2018, 2 citations), demonstrates how capturing rich angular and temporal information from light fields can reconstruct complex scenes with unprecedented detail, bridging the gap between traditional 2D imaging and immersive 3D analysis. Despite its early-stage citation count, this paper is foundational for emerging applications in dynamic scene reconstruction. Jiang’s research has been recognized for its potential to transform how machines perceive and interact with the physical world, positioning her as a key innovator in light field imaging. Her work continues to inspire new directions in computational photography and spatial computing, making her a notable figure for students and researchers exploring the frontiers of 3D vision and imaging science.
Research Focus
Key Achievements
Top Papers
- 13D Scene Modeling from Dense Video Light Fields2 citations · 2018