Xinyan Yang
Papers
1
Total Citations
1
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1
About
Xinyan Yang is a researcher at the forefront of 3D computer vision, with a primary focus on developing robust methods for object reconstruction and recognition. Her most notable contribution is the introduction of ART-InvRec, an adversarial framework designed to achieve rotation-invariant 3D object reconstruction. This work addresses a critical challenge in the field: the sensitivity of deep learning models to variations in object orientation. By leveraging adversarial training, Yang’s approach enhances the ability of reconstruction algorithms to maintain accuracy regardless of how an object is rotated, significantly improving generalization in real-world scenarios. While her most-cited paper currently has one citation, its recent publication in 2024 signals a promising trajectory for her research impact. Yang’s work is particularly relevant for applications in robotics, autonomous navigation, and augmented reality, where reliable 3D perception under varying viewpoints is essential. Her dedication to solving fundamental geometric problems in vision places her among emerging innovators in the field, and her future contributions are anticipated to further advance the robustness and efficiency of 3D reconstruction systems.
Research Focus
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Top Papers
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