9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer
Yair Kittenplon, Inbal Lavi, Sharon Fogel +3
Text spotting end-to-end methods have recently gained attention in the literature due to the benefits of jointly optimizing the text detection and recognition components. Existing…
cs.CV2020★ 9 cited
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
Yair Kittenplon, Yonina C. Eldar, Dan Raviv
Estimating the 3D motion of points in a scene, known as scene flow, is a core problem in computer vision. Traditional learning-based methods designed to learn end-to-end 3D flow of…