The rise of the consumer 3D printer has yielded amazing devices for designers, engineers, hobbyists, tinkerers, and schools alike. I've been reviewing 3D printers for PCMag since the first widely ...
Abstract: LiDAR-based 3D object detection has recently seen significant advancements through active learning (AL), attaining satisfactory performance by training on a small fraction of strategically ...
Abstract: Monocular 3D object detection is a fundamental but challenging task in autonomous driving and robot navigation. Directly predicting the depth from a single image is essentially an ill-posed ...
Our time with the Duster has come to an end, but its swansong was both its toughest test and further proof of just how capable it is. After a long weekend in Northumberland, its next challenge was a ...
Segmenting 3D objects into parts is a long-standing challenge in computer vision. To overcome taxonomy constraints and generalize to unseen 3D objects, recent works turn to open-world part ...