Abstract: Deep neural networks (DNNs) are potent in LiDAR-based 3D object detection (LiDAR-3DOD), yet their deployment remains daunting due to their cumbersome parameters and computations. Knowledge ...

It's not a magic strength slider. Here’s what it actually does, when it matters, and how to stop wasting time and filament on dense prints.

These 3D-printed mounts tame messy cables with custom routes, cradles, and pass-throughs that off-the-shelf solutions can’t match.

You are welcomed to check a series of works from our group on 3D radiance field representation compression as listed below: The installation process follows that of ...

Abstract: Recent advances in 3D Gaussian Splatting (3DGS) have enabled real-time, high-fidelity novel view synthesis, yet their substantial storage cost remains a major barrier to practical deployment ...