activity
20242026
collaborators

8 papers

cs.LG2026

EMAG: Differentiable 4D Gaussian Mixture Splatting for EEG Spatial Super-Resolution

Alex Lazarovich, Ofir Itzhak Shahar, Gur Elkin +1

High-density electroencephalography (HD-EEG) enables fine-grained measurement of cortical activity but requires expensive hardware and lengthy setup times, limiting its clinical an…

cs.CV2026

The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments

Ofir Itzhak Shahar, Gur Elkin, Ohad Ben-Shahar

Jigsaw puzzle solving has been an increasingly popular task in the computer vision research community. Recent works have utilized cutting-edge architectures and computational appro…

cs.CV2026

Pictorial and apictorial polygonal jigsaw puzzles from arbitrary number of crossing cuts

Peleg Harel Ofir Itzhak Shahar, Ohad Ben-Shahar

Jigsaw puzzle solving, the problem of constructing a coherent whole from a set of non-overlapping unordered visual fragments, is fundamental to numerous applications, and yet most…

cs.CV2026

PuzLM: Solving Jigsaw Puzzles with Sequence-to-Sequence Language Models

Gur Elkin, Ofir Itzhak Shahar, Ohad Ben-Shahar

Square jigsaw puzzles are typically solved by visually matching piece images to recover the original layout. This work introduces PuzLM, an alternative perspective that recasts jig…

cs.CV2025

Solving Convex Partition Visual Jigsaw Puzzles

Yaniv Ohayon, Ofir Itzhak Shahar, Ohad Ben-Shahar

Jigsaw puzzle solving requires the rearrangement of unordered pieces into their original pose in order to reconstruct a coherent whole, often an image, and is known to be an intrac…

cs.CV2025

Pairwise Alignment & Compatibility for Arbitrarily Irregular Image Fragments

Ofir Itzhak Shahar, Gur Elkin, Ohad Ben-Shahar

Pairwise compatibility calculation is at the core of most fragments-reconstruction algorithms, in particular those designed to solve different types of the jigsaw puzzle problem. H…