activity
20202024
most citedTowards Weakly-Supervised Text Spotting using a Multi-Task Transformer

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding

Ofir Abramovich, Niv Nayman, Sharon Fogel +7

In recent years, notable advancements have been made in the domain of visual document understanding, with the prevailing architecture comprising a cascade of vision and language mo…

cs.CV2022★ 1 cited

GLASS: Global to Local Attention for Scene-Text Spotting

Roi Ronen, Shahar Tsiper, Oron Anschel +3

In recent years, the dominant paradigm for text spotting is to combine the tasks of text detection and recognition into a single end-to-end framework. Under this paradigm, both tas…

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

Can You Read Me Now? Content Aware Rectification using Angle Supervision

Amir Markovitz, Inbal Lavi, Or Perel +2

The ubiquity of smartphone cameras has led to more and more documents being captured by cameras rather than scanned. Unlike flatbed scanners, photographed documents are often folde…

cs.LG2020

Proximity Preserving Binary Code using Signed Graph-Cut

Inbal Lav, Shai Avidan, Yoram Singer +1

We introduce a binary embedding framework, called Proximity Preserving Code (PPC), which learns similarity and dissimilarity between data points to create a compact and affinity-pr…