Griffith University researchers have shown that the shape and surface chemistry of microscopic "re-entrant" structures—tiny ...

Blind and low-vision programmers have long been locked out of three-dimensional modeling software, which depends on sighted ...

Abstract: Single-view 3D object reconstruction is a fundamental and challenging computer vision task that aims at recovering 3D shapes from single-view RGB images. Most existing deep learning based ...

Abstract: Adversarial attacks on deep neural networks (DNNs) have raised significant concerns, particularly in safety-critical applications such as autonomous driving. Autonomous vehicles rely on both ...

Although these days it would seem that everyone and their pets are running 3D printers to churn out all the models and gadgets that their hearts desire, a more traditional approach to creating ...