3 citations · 3 across the 5 of their papers we have counts for
5 papers
C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion
Yuval Haitman, Amit Efraim, Joseph M. Francos
We introduce C-GenReg, a training-free framework for 3D point cloud registration that leverages the complementary strengths of world-scale generative priors and registration-orient…
UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
Yuval Haitman, Amit Efraim, Joseph M. Francos
In this paper, we adopt the Universal Manifold Embedding (UME) framework for the estimation of rigid transformations and extend it, so that it can accommodate scenarios involving p…
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration
Natalie Lang, Joseph M. Francos
Registration of point clouds related by rigid transformations is one of the fundamental problems in computer vision. However, a solution to the practical scenario of aligning spars…
The Rank of the Covariance Matrix of an Evanescent Field
M. Kliger, J. M. Francos
Evanescent random fields arise as a component of the 2-D Wold decomposition of homogenous random fields. Besides their theoretical importance, evanescent random fields have a numbe…
Strongly Consistent Model Order Selection for Estimating 2-D Sinusoids in Colored Noise
Mark Kliger, Joseph M. Francos
We consider the problem of jointly estimating the number as well as the parameters of two-dimensional sinusoidal signals, observed in the presence of an additive colored noise fiel…