Royee Tichauer — accepted AI-conference papers

2024

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

Ofir Abramovich*, Niv Nayman*, Sharon Fogel, Inbal Lavi, Ron Litman, Shahar Tsiper +4

ECCV 2024poster

"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 models. The text component can either be extracted explicitly with the use of external OCR models in OCR-based approaches…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2023

CLIPTER: Looking at the Bigger Picture in Scene Text Recognition

Aviad Aberdam, David Bensaid, Alona Golts, Roy Ganz, Oren Nuriel, Royee Tichauer +2

ICCV 2023poster

Reading text in real-world scenarios often requires understanding the context surrounding it, especially when dealing with poor-quality text. However, current scene text recognizers are unaware of the bigger picture as they operate on cropped text images. In this study, we harness the representative…

Cited by 22 PDF ↗code ↗Scholar ↗