In the predawn darkness, a team of scientists climbs the slope of Mexico's Popocatépetl volcano, one of the world's most ...
Generalizable active mapping in complex unknown environments remains a critical challenge for mobile robots. Existing methods, constrained by insufficient training data and conservative exploration ...
Abstract: 3D multi-object tracking methods utilize object motion, image, and point cloud information to compute similarities between different objects, facilitating cross-frame data association. In ...
This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...
Abstract: Single-view 3D object reconstruction (SVOR) aims to recover the 3D shape of an object from a single 2D image. Despite advances in deep learning (DL), challenges such as incomplete image ...