Garrick Brazil

Papers

Total Citations

H-Index

About

Garrick Brazil is a computer vision researcher whose work focuses on 3D scene understanding, object detection, and the development of large-scale benchmarks that push the boundaries of visual perception from single images. His most prominent contribution, **Omni3D**, represents a landmark effort to address a fundamental challenge in the field: the lack of large, diverse datasets and generalizable models for 3D object detection "in the wild." By constructing a comprehensive benchmark and accompanying model capable of detecting objects across varied real-world environments, Brazil tackled the longstanding limitations of prior approaches, which were typically small in scale and narrowly specialized. This work has clear implications for robotics, augmented reality, and virtual reality — domains that depend critically on robust 3D spatial understanding. The research has accumulated over 90 citations since its publication, reflecting its rapid adoption and influence within the computer vision community. Brazil's efforts to bridge the gap between 2D and 3D recognition — drawing inspiration from the scalable, data-driven successes seen in 2D perception — position him as a meaningful contributor to the next generation of generalizable, real-world 3D vision systems.