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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 12Source ↗PDF ↗Scholar ↗
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 162PDF ↗code ↗Scholar ↗
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 194PDF ↗code ↗Scholar ↗
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 0Source ↗Scholar ↗
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 0Source ↗Scholar ↗