Multi-modal unsupervised domain adaptation (MM-UDA) for 3D semantic
segm...
One-shot LiDAR localization refers to the ability to estimate the robot ...
Continual Test-Time Adaptation (CTTA) generalizes conventional Test-Time...
This paper presents Segregator, a global point cloud registration framew...
Video analysis tasks such as action recognition have received increasing...
Video-based Unsupervised Domain Adaptation (VUDA) methods improve the
ro...
While action recognition (AR) has gained large improvements with the
int...
This paper introduces a novel self-supervised method that leverages
inco...
Multi-Source Domain Adaptation (MSDA) is a more practical domain adaptat...
Partial Domain Adaptation (PDA) is a practical and general domain adapta...
Domain adaptation (DA) approaches address domain shift and enable networ...
Temporal feature extraction is an essential technique in video-based act...
Long-range spatiotemporal dependencies capturing plays an essential role...
The task of action recognition in dark videos is useful in various scena...