4 papers
Solving Jigsaw Puzzles with Eroded Boundaries
Dov Bridger, Dov Danon, Ayellet Tal
Jigsaw puzzle solving is an intriguing problem which has been explored in computer vision for decades. This paper focuses on a specific variant of the problem - solving puzzles wit…
Breaking the cycle -- Colleagues are all you need
Ori Nizan, Ayellet Tal
This paper proposes a novel approach to performing image-to-image translation between unpaired domains. Rather than relying on a cycle constraint, our method takes advantage of col…
Is Image Memorability Prediction Solved?
Shay Perera, Ayellet Tal, Lihi Zelnik-Manor
This paper deals with the prediction of the memorability of a given image. We start by proposing an algorithm that reaches human-level performance on the LaMem dataset - the only l…
Solving Archaeological Puzzles
Niv Derech, Ayellet Tal, Ilan Shimshoni
Puzzle solving is a difficult problem in its own right, even when the pieces are all square and build up a natural image. But what if these ideal conditions do not hold? One such a…