4 citations · 5 across the 9 of their papers we have counts for
6 papers · 1 filter
Efficient Document Tampering Localization with Multi-Level Discrepancy Features and Unified DCT-Quantization Embedding
Mohamed Dhouib, Ye Zhu, Sonia Vanier +1
Localizing document tampering is extremely challenging, as manipulations are crafted to appear visually consistent and often leave only subtle traces that are nearly invisible to t…
Leveraging Contrastive Learning for a Similarity-Guided Tampered Document Data Generation Pipeline
Mohamed Dhouib, Davide Buscaldi, Sonia Vanier +1
Detecting tampered text in document images is a challenging task due to data scarcity. To address this, previous work has attempted to generate tampered documents using rule-based…
PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models
Mohamed Dhouib, Davide Buscaldi, Sonia Vanier +1
Visual Language Models require substantial computational resources for inference due to the additional input tokens needed to represent visual information. However, these visual to…
Evaluating Adversarial Robustness on Document Image Classification
Timothée Fronteau, Arnaud Paran, Aymen Shabou
Adversarial attacks and defenses have gained increasing interest on computer vision systems in recent years, but as of today, most investigations are limited to images. However, ma…
DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents
Mohamed Dhouib, Ghassen Bettaieb, Aymen Shabou
Information Extraction from visually rich documents is a challenging task that has gained a lot of attention in recent years due to its importance in several document-control based…
VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach
Mohamed Kerroumi, Othmane Sayem, Aymen Shabou
We introduce a novel approach for scanned document representation to perform field extraction. It allows the simultaneous encoding of the textual, visual and layout information in…