In 3D Referring Expression Segmentation (3D-RES), the earlier approach a...
In recent years, 3D representation learning has turned to 2D vision-lang...
Text-driven 3D stylization is a complex and crucial task in the fields o...
Trustworthy machine learning aims at combating distributional uncertaint...
Panoptic Narrative Grounding (PNG) is an emerging cross-modal grounding ...
Bayesian methods, distributionally robust optimization methods, and
regu...
Bayesian optimization (BO) has been widely used in machine learning and
...
The expected improvement (EI) is one of the most popular acquisition
fun...