Simon Green
Papers
2
Total Citations
386
H-Index
2
About
Simon Green is a researcher whose work bridges the seemingly disparate worlds of computer vision and planetary science. His most impactful contribution is the creation of the **Replica dataset**, a cornerstone resource for embodied AI and 3D scene understanding. With **384 citations**, this 2019 paper introduced 18 highly photo-realistic, semantically-annotated indoor environments, complete with dense meshes and HDR textures. This dataset has become a standard benchmark for training and evaluating algorithms in visual navigation, scene reconstruction, and interactive simulation, fundamentally advancing how machines perceive and interact with complex indoor spaces. In a fascinating parallel track, Green also contributes to observational astronomy. His 2021 paper on **asteroid photometry** details optimized techniques for using small aperture telescopes like PIRATE to study near-Earth asteroids. While less cited, this work highlights a practical engineering approach to high-frequency, targeted observations that are often infeasible with larger, oversubscribed facilities. This dual expertise—from crafting digital replicas of rooms to tracking celestial bodies—demonstrates a rare versatility, applying rigorous computational and observational methods to solve problems at both the human and planetary scale.
Research Focus
Key Achievements
Top Papers
- 1The Replica Dataset: A Digital Replica of Indoor Spaces384 citations · 2019
- 2Asteroid Photometry with PIRATE: Optimizations and Techniques for Small Aperture Telescopes2 citations · 2021