activity
20172024
most citedAnalog to Digital Cognitive Radio: Sampling, Detection and Hardware

85 citations · 125 across the 8 of their papers we have counts for

collaborators

9 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.CL2024

GRAM: Global Reasoning for Multi-Page VQA

Tsachi Blau, Sharon Fogel, Roi Ronen +6

The increasing use of transformer-based large language models brings forward the challenge of processing long sequences. In document visual question answering (DocVQA), leading met…

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.CV2020★ 1 cited

On Calibration of Scene-Text Recognition Models

Ron Slossberg, Oron Anschel, Amir Markovitz +6

In this work, we study the problem of word-level confidence calibration for scene-text recognition (STR). Although the topic of confidence calibration has been an active research a…

cs.CV2020

Sequence-to-Sequence Contrastive Learning for Text Recognition

Aviad Aberdam, Ron Litman, Shahar Tsiper +5

We propose a framework for sequence-to-sequence contrastive learning (SeqCLR) of visual representations, which we apply to text recognition. To account for the sequence-to-sequence…

cs.CV2020★ 7 cited

SCATTER: Selective Context Attentional Scene Text Recognizer

Ron Litman, Oron Anschel, Shahar Tsiper +3

Scene Text Recognition (STR), the task of recognizing text against complex image backgrounds, is an active area of research. Current state-of-the-art (SOTA) methods still struggle…

cs.CV2017★ 30 cited

Sparsity-Based Super Resolution for SEM Images

Shahar Tsiper, Or Dicker, Idan Kaizerman +3

The scanning electron microscope (SEM) produces an image of a sample by scanning it with a focused beam of electrons. The electrons interact with the atoms in the sample, which emi…

cs.CE2017★ 85 cited

Analog to Digital Cognitive Radio: Sampling, Detection and Hardware

Deborah Cohen, Shahar Tsiper, Yonina C. Eldar

The proliferation of wireless communications has recently created a bottleneck in terms of spectrum availability. Motivated by the observation that the root of the spectrum scarcit…

math.NA2017★ 1 cited

RAPToR: A Resampling Algorithm for Pseudo-Polar based Tomographic Reconstruction

Shahar Tsiper, Yonina C. Eldar

We propose a stable and fast reconstruction technique for parallel-beam (PB) tomographic X-ray imaging, relying on the discrete pseudo-polar (PP) Radon transform. Our main contribu…