1 citations · 2 across the 10 of their papers we have counts for
15 papers
Fix the Match, Not the Solver: STITCH -- a Self-Supervised Compatibility Measure for Eroded Visual Puzzles
Nadav Alali, Ohad Ben-Shahar
Unlike the clean and pixel-aligned complete pieces of standard jigsaw benchmarks, real-world puzzle fragments lose their boundary regions to erosion, destroying the signal that cla…
ContextShift: A Controlled Benchmark for Context Dependence in Object Detection
Dan Zlotnikov, Alex Lazarovich, Ohad Ben-Shahar
Modern object detectors achieve strong performance on standard benchmarks, yet their robustness to contextual variation remains insufficiently understood. Prior evaluations largely…
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…
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…
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…
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…
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…
Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation
Gur Elkin, Ofir Itzhak Shahar, Yaniv Ohayon +2
Ancient artworks obtained in archaeological excavations usually suffer from a certain degree of fragmentation and physical degradation. Often, fragments of multiple artifacts from…
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva +20
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 dat…
Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
Ben Vardi, Alessandro Torcinovich, Marina Khoroshiltseva +2
We present a novel method for solving square jigsaw puzzles based on global optimization. The method is fully automatic, assumes no prior information, and can handle puzzles with k…
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…
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…
Contextual Object Detection with a Few Relevant Neighbors
Ehud Barnea, Ohad Ben-Shahar
A natural way to improve the detection of objects is to consider the contextual constraints imposed by the detection of additional objects in a given scene. In this work, we exploi…
Exploring the Bounds of the Utility of Context for Object Detection
Ehud Barnea, Ohad Ben-Shahar
The recurring context in which objects appear holds valuable information that can be employed to predict their existence. This intuitive observation indeed led many researchers to…
Curve Reconstruction via the Global Statistics of Natural Curves
Ehud Barnea, Ohad Ben-Shahar
Reconstructing the missing parts of a curve has been the subject of much computational research, with applications in image inpainting, object synthesis, etc. Different approaches…