3 papers
eess.IV2022
Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps
Leo Segre, Or Hirschorn, Dvir Ginzburg +1
Image translation across domains for unpaired datasets has gained interest and great improvement lately. In medical imaging, there are multiple imaging modalities, with very differ…
cs.CV2022
Deep Confidence Guided Distance for 3D Partial Shape Registration
Dvir Ginzburg, Dan Raviv
We present a novel non-iterative learnable method for partial-to-partial 3D shape registration. The partial alignment task is extremely complex, as it jointly tries to match betwee…
cs.CV2021
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration
Dvir Ginzburg, Dan Raviv
We present a new paradigm for rigid alignment between point clouds based on learnable weighted consensus which is robust to noise as well as the full spectrum of the rotation group…