The Riemannian Geometry Team (RGT) pursues fundamental research based on the notion of Riemannian geometry to achieve accurate and discriminative […]
We aim to automatically detect forest cover change based on analysing large scale satellite imagery datasets. Our approach exploits recent […]
This database addresses the need for experimental data to quantitatively evaluate emerging road detection and photometric invariant algorithms. These images […]
Contents Data61/2D3D Dataset Data61 Pedestrian Dataset Globally-Optimal Pose And Correspondences (GOPAC) Code Globally-Optimal Gaussian Mixture Alignment (GOGMA) Code Support Vector […]
We use high performance imaging techniques hyper-spectral, high-dynamic range, high-speed, to deliver advanced capabilities for the analysis of the scene. We employ new camera […]
DL is a data-driven transformation & representation for which most of the representation coefficients are zero, dictionary may be over/under-complete, […]
As part of its work on Vision Processing for Prosthetic Vision, Data61 is developing a tactile vibration sensory substitution device […]
We address the fundamental questions that arise when the size of the problem becomes huge and when the task is […]
This project aims to segment objects and infer scene layout from images and videos. We have designed a state-of-the-art examplar-based approach […]
