Shinan Lang
Papers
1
Total Citations
3
H-Index
1
About
Shinan Lang is a researcher specializing in computational imaging and material classification, with a focus on enhancing the capabilities of time-of-flight (ToF) cameras. Their most notable work, "Highly transparent material classification using the refractive index, reflectivity, and transmissivity features from an imaging model of a time-of-flight camera" (2023), introduces a novel approach to distinguishing transparent materials by leveraging physical optical properties such as refractive index and reflectivity. This contribution addresses a long-standing challenge in computer vision and robotics, where transparent objects often confound standard sensors. By developing an imaging model that extracts these features from ToF data, Lang has opened new pathways for applications in autonomous navigation, augmented reality, and industrial inspection. Though early in their career, with this paper already garnering 3 citations, the work signals significant potential for impact in material science and sensor technology. Lang’s research bridges optics and machine learning, offering practical solutions for real-world perception systems. Their innovative methodology and clear problem-solving focus mark them as an emerging voice in the field, with future work likely to further advance how machines interpret complex visual environments.
Research Focus
Key Achievements
Top Papers
- 1