9 papers
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…
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…
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…
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…