publié le: 2023
In this paper, we propose a novel image coding framework with semantic-aware visual decomposition towards extremely low bitrate compression. In partic...
An approach is proposed for recovering affine correspondences (ACs) from orientation- and scale-covariant, e.g., SIFT, features exploiting pre-estimat...
Blur is an image degradation that makes object recognition challenging. Restoration approaches solve this problem via image deblurring, deep learning...
3D reconstruction of general scenes remains an open challenge with current techniques often reliant on assumptions on the scene's surface reflectance,...
In computer vision, camera pose estimation from correspondences between 3D geometric entities and their projections into the image has been a widely i...
