Abstract: Super-resolution (SR) aims to restore a high-resolution (HR) image from its low-resolution (LR) counterpart. Existing works try to achieve an overall average recovery over all regions to ...
Individual features are identified as either maxima or minima in a two dimensional time varying field. The volume/area associated with the identified objects can be determined based on a time-varying ...
Abstract: Deep learning-based 3D object detectors often require large-scale labeled 3D datasets, which can be expensive to annotate. To tackle this issue, we introduce a core-set sampling strategy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results