Depth Refinement for Improved Stereo Reconstruction. - Amit Bracha; Noam Rotstein; David Bensaïd; Ron Slossberg; Ron Kimmel (CoRR, 2021)

Partial Shape Similarity via Alignment of Multi-Metric Hamiltonian Spectra. - David Bensaïd; Amit Bracha; Ron Kimmel (CoRR, 2022)

CLIPTER: Looking at the Bigger Picture in Scene Text Recognition. - Aviad Aberdam; David Bensaïd; Alona Golts; Roy Ganz; Oren Nuriel; Royee Tichauer; Shai Mazor; Ron Litman (ICCV, 2023)

Partial Shape Similarity by Multi-metric Hamiltonian Spectra Matching. - David Bensaïd; Amit Bracha; Ron Kimmel (SSVM, 2023)

FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions. - Noam Rotstein; David Bensaïd; Shaked Brody; Roy Ganz; Ron Kimmel (CoRR, 2023)

Partial Matching of Nonrigid Shapes by Learning Piecewise Smooth Functions. - David Bensaïd; Noam Rotstein; Nelson Goldenstein; Ron Kimmel (Comput. Graph. Forum, 2023)

FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions. - Noam Rotstein; David Bensaïd; Shaked Brody; Roy Ganz; Ron Kimmel (WACV, 2024)

A Multi-spectral Geometric Approach for Shape Analysis. - David Bensaïd; Ron Kimmel (J. Math. Imaging Vis., 2024)

Pathways on the Image Manifold: Image Editing via Video Generation. - Noam Rotstein; Gal Yona; Daniel Silver; Roy Velich; David Bensaïd; Ron Kimmel (CVPR, 2025)

SingLoRA: Low Rank Adaptation Using a Single Matrix. - David Bensaïd; Noam Rotstein; Roy Velich; Daniel Bensaïd; Ron Kimmel (CoRR, 2025)