Yina Gao

Papers

Total Citations

105

H-Index

About

Yina Gao is a leading researcher in 3D computer vision and neural scene representation, with a particular focus on Neural Radiance Fields (NeRF) and their real-world applications. Her comprehensive review on NeRF, published in 2026, has already garnered over 105 citations, establishing her as a key voice in this rapidly evolving field. Gao’s work has been instrumental in translating NeRF’s groundbreaking 2020 breakthrough—implicit neural network-based scene representation and novel view synthesis—into practical solutions across robotics, urban mapping, autonomous navigation, and virtual/augmented reality. By systematically analyzing NeRF architectures, training methodologies, and deployment challenges, she has provided the community with a critical roadmap for advancing 3D vision technologies. Her contributions are particularly notable for bridging the gap between theoretical innovation and applied systems, enabling more robust and efficient scene understanding in dynamic environments. Gao’s research continues to shape how machines perceive and interact with three-dimensional spaces, making her a pivotal figure in the next generation of spatial intelligence.