95 citations · 388 across the 49 of their papers we have counts for
58 papers
Deep Accurate Solver for the Geodesic Problem
Saar Huberman, Amit Bracha, Ron Kimmel
A common approach to compute distances on continuous surfaces is by considering a discretized polygonal mesh approximating the surface and estimating distances on the polygon. We s…
FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
Noam Rotstein, David Bensaid, Shaked Brody +2
The advent of vision-language pre-training techniques enhanced substantial progress in the development of models for image captioning. However, these models frequently produce gene…
Learning Differential Invariants of Planar Curves
Roy Velich, Ron Kimmel
We propose a learning paradigm for the numerical approximation of differential invariants of planar curves. Deep neural-networks' (DNNs) universal approximation properties are util…
Partial Shape Similarity via Alignment of Multi-Metric Hamiltonian Spectra
David Bensaïd, Amit Bracha, Ron Kimmel
Evaluating the similarity of non-rigid shapes with significant partiality is a fundamental task in numerous computer vision applications. Here, we propose a novel axiomatic method…
Garment Avatars: Realistic Cloth Driving using Pattern Registration
Oshri Halimi, Fabian Prada, Tuur Stuyck +7
Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes i…
Elastica Models for Color Image Regularization
Hao Liu, Xue-Cheng Tai, Ron Kimmel +1
One classical approach to regularize color is to tream them as two dimensional surfaces embedded in a five dimensional spatial-chromatic space. In this case, a natural regularizati…