Gur Elkin — accepted AI-conference papers

2026

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

Ofir Itzhak Shahar, Gur Elkin, Ohad Ben-Shahar

CVPR 2026

Jigsaw puzzle solving has been an increasingly popular task in the computer vision research community. Recent works have utilized cutting-edge architectures and computational approaches to reassemble groups of pieces into a coherent image, while achieving increasingly good results on well establishe

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2024

Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving

Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva, Adeela Islam, Gur Elkin, Ofir Itzhak Shahar +17

NeurIPS 2024poster

This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dataset has unique properties that are uncommon to current benchmarks for 2D and 3D puzzle solving. The fragments and fract…

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