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Shahar Tsiper

7 accepted papers

2024

GRAM: Global Reasoning for Multi-Page VQA

CVPR 2024poster

The increasing use of transformer-based large language models brings forward the challenge of processing long sequences. In document visual question answering (DocVQA) leading methods focus on the single-page setting while documents can span hundreds of pages. We present GRAM a method that seamlessl…

Cited by 12SourcePDFScholar
2024

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

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…

2022

GLASS: Global to Local Attention for Scene-Text Spotting

ECCV 2022poster

"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 tasks are accomplished by operating over a shared global feature map extracted from the input image. Among the main challe…

2021

Sequence-to-Sequence Contrastive Learning for Text Recognition

CVPR 2021poster

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 structure, each feature map is divided into different instances over which the contrastive loss is computed. This opera…

Cited by 162PDFcodeScholar
2020

SCATTER: Selective Context Attentional Scene Text Recognizer

CVPR 2020poster

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 to recognize text written in arbitrary shapes. In this paper, we introduce a novel architecture for STR, named Selective…

Cited by 194PDFcodeScholar
2018

Total Variation Iterative Linear Expansion of Thresholds with Applications in CT

ICASSP 2018accepted

The iterative linear expansion of threshold framework, or iLET, offers a new approach for solving image restoration problems under sparsity assumptions. Instead of estimating the reconstructed image directly, the iLET paradigm parametrizes the reconstruction process as a linear combination of elemen…

Cited by 0SourceScholar
2017

Xampling-enabled coexistence in spectrally crowded environments

ICASSP 2017accepted

We present a composite suite of technologies for spectral coexistence of existing communication and radar systems using the Xampling framework. For a stand-alone communication system, we consider a cognitive radio (CRo) that receives multiband signals with unknown carrier frequencies and directions…

Cited by 2SourceScholar